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<!doctype html><html lang="en"><head><title data-rh="true">God Mode UX: Why Your Next Interface Will Look More Like StarCraft Than Slack | by Daniel Rodríguez | sadasant | Feb, 2025 | Medium</title><meta data-rh="true" charset="utf-8"/><meta data-rh="true" name="viewport" content="width=device-width,minimum-scale=1,initial-scale=1,maximum-scale=1"/><meta data-rh="true" name="theme-color" content="#000000"/><meta data-rh="true" name="twitter:app:name:iphone" content="Medium"/><meta data-rh="true" name="twitter:app:id:iphone" content="828256236"/><meta data-rh="true" property="al:ios:app_name" content="Medium"/><meta data-rh="true" property="al:ios:app_store_id" content="828256236"/><meta data-rh="true" property="al:android:package" content="com.medium.reader"/><meta data-rh="true" property="fb:app_id" content="542599432471018"/><meta data-rh="true" property="og:site_name" content="Medium"/><meta data-rh="true" property="og:type" content="article"/><meta data-rh="true" property="article:published_time" content="2025-02-18T16:38:28.348Z"/><meta data-rh="true" name="title" content="God Mode UX: Why Your Next Interface Will Look More Like StarCraft Than Slack | by Daniel Rodríguez | sadasant | Feb, 2025 | Medium"/><meta data-rh="true" property="og:title" content="God Mode UX: Why Your Next Interface Will Look More Like StarCraft Than Slack"/><meta data-rh="true" property="al:android:url" content="medium://p/12498eb274d4"/><meta data-rh="true" property="al:ios:url" content="medium://p/12498eb274d4"/><meta data-rh="true" property="al:android:app_name" content="Medium"/><meta data-rh="true" name="description" content="Today’s AI interfaces rely on one-to-one chat or linear workflows, but that’s hitting a wall. 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class="ci bh fz ga gb gc"><div><h1 id="f226" class="pw-post-title gx gy gz bf ha hb hc hd he hf hg hh hi hj hk hl hm hn ho hp hq hr bk" data-testid="storyTitle">God Mode UX: Why Your Next Interface Will Look More Like StarCraft Than Slack</h1></div><div><h2 id="e239" class="pw-subtitle-paragraph hs gy gz bf b ht hu hv hw hx hy hz ia ib ic id ie if ig ih cq du">It’s time to zoom out and see our AI from above — because herding a swarm of digital agents needs more than a single chat window.</h2><div><div class="speechify-ignore ab cp"><div class="speechify-ignore bh l"><div class="ii ij ik il im ab"><div><div class="ab in"><div><div class="bm" aria-hidden="false"><a rel="noopener follow" href="/@sadasant?source=post_page---byline--12498eb274d4---------------------------------------"><div class="l io ip by iq ir"><div class="l fj"><img alt="Daniel Rodríguez" class="l fd by dd de cx" src="https://miro.medium.com/v2/resize:fill:88:88/1*BRjb6um8qSKyWHSiOXcH_w.png" width="44" height="44" 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href="/@sadasant?source=post_page---byline--12498eb274d4---------------------------------------">Daniel Rodríguez</a></p></div></div></div><span class="je jf" aria-hidden="true"><span class="bf b bg z du">·</span></span><p class="bf b jb jc du"><span><a class="jg jh ah ai aj ak al am an ao ap aq ar ex ji jj" rel="noopener follow" href="/m/signin?actionUrl=https%3A%2F%2Fmedium.com%2F_%2Fsubscribe%2Fuser%2Fa41c7ceea324&operation=register&redirect=https%3A%2F%2Fmedium.com%2Fsadasant%2Fgod-mode-ux-why-your-next-interface-will-look-more-like-starcraft-than-slack-12498eb274d4&user=Daniel+Rodr%C3%ADguez&userId=a41c7ceea324&source=post_page-a41c7ceea324--byline--12498eb274d4---------------------post_header------------------">Follow</a></span></p></div></div></span></div></div><div class="l jk"><span class="bf b bg z du"><div class="ab cn jl jm jn"><div class="fu fv ab"><div class="bf b bg z du ab jo"><span class="jp l jk">Published in</span><div><div class="l" aria-hidden="false"><a class="af ag ah ai aj ak al am an ao ap aq ar jd ab q" data-testid="publicationName" href="https://medium.com/sadasant?source=post_page---byline--12498eb274d4---------------------------------------" rel="noopener follow"><p class="bf b bg z jq jr js jt ju jv jw jx bk">sadasant</p></a></div></div></div><div class="h k"><span class="je jf" aria-hidden="true"><span class="bf b bg z du">·</span></span></div></div><span class="bf b bg z du"><div class="ab ae"><span data-testid="storyReadTime">20 min read</span><div class="jy jz l" aria-hidden="true"><span class="l" aria-hidden="true"><span class="bf b bg z du">·</span></span></div>3 days ago</div></span></div></span></div></div></div><div class="ab cp ka kb kc kd ke kf kg kh ki kj kk kl km kn ko kp"><div class="h k w fg fh q"><div class="lf l"><div class="ab q lg lh"><div class="pw-multi-vote-icon fj jp li lj lk"><span><a class="af ag ah ai aj ak al am an ao ap aq ar as at" data-testid="headerClapButton" rel="noopener follow" 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aria-hidden="false"><button aria-label="Listen" data-testid="audioPlayButton" class="af fk ah ai aj ak al mo an ao ap ex mp mq mf mr ms mt mu mv s mw mx my mz na nb nc u nd ne nf"><svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" fill="none" viewBox="0 0 24 24"><path fill="currentColor" fill-rule="evenodd" d="M3 12a9 9 0 1 1 18 0 9 9 0 0 1-18 0m9-10C6.477 2 2 6.477 2 12s4.477 10 10 10 10-4.477 10-10S17.523 2 12 2m3.376 10.416-4.599 3.066a.5.5 0 0 1-.777-.416V8.934a.5.5 0 0 1 .777-.416l4.599 3.066a.5.5 0 0 1 0 .832" clip-rule="evenodd"></path></svg><div class="j i d"><p class="bf b bg z du">Listen</p></div></button></div></div></div></div></div></div></div></div><div class="bm" aria-hidden="false" aria-describedby="postFooterSocialMenu" aria-labelledby="postFooterSocialMenu"><div><div class="bm" aria-hidden="false"><button aria-controls="postFooterSocialMenu" aria-expanded="false" aria-label="Share Post" data-testid="headerSocialShareButton" class="af fk ah ai aj ak al mo an ao ap ex mp mq mf mr ms mt mu mv s mw mx my mz na nb nc u nd ne nf"><svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" fill="none" viewBox="0 0 24 24"><path fill="currentColor" fill-rule="evenodd" d="M15.218 4.931a.4.4 0 0 1-.118.132l.012.006a.45.45 0 0 1-.292.074.5.5 0 0 1-.3-.13l-2.02-2.02v7.07c0 .28-.23.5-.5.5s-.5-.22-.5-.5v-7.04l-2 2a.45.45 0 0 1-.57.04h-.02a.4.4 0 0 1-.16-.3.4.4 0 0 1 .1-.32l2.8-2.8a.5.5 0 0 1 .7 0l2.8 2.79a.42.42 0 0 1 .068.498m-.106.138.008.004v-.01zM16 7.063h1.5a2 2 0 0 1 2 2v10a2 2 0 0 1-2 2h-11c-1.1 0-2-.9-2-2v-10a2 2 0 0 1 2-2H8a.5.5 0 0 1 .35.15.5.5 0 0 1 .15.35.5.5 0 0 1-.15.35.5.5 0 0 1-.35.15H6.4c-.5 0-.9.4-.9.9v10.2a.9.9 0 0 0 .9.9h11.2c.5 0 .9-.4.9-.9v-10.2c0-.5-.4-.9-.9-.9H16a.5.5 0 0 1 0-1" clip-rule="evenodd"></path></svg><div class="j i d"><p class="bf b bg z du">Share</p></div></button></div></div></div></div></div></div></div></div></div><p id="6fcb" class="pw-post-body-paragraph ng nh gz ni b ht nj nk nl hw nm nn no np nq nr ns nt nu nv nw nx ny nz oa ob gs bk">Today’s AI interfaces rely on one-to-one chat or linear workflows, but that’s hitting a wall. A multi-agent ecosystem needs a “<em class="oc">god’s-eye</em>” vantage reminiscent of The Sims or Age of Empires, complete with resource dashboards, concurrency controls, and perhaps even cryptoeconomic dispute resolution. In this piece, I invite you to consider how <a class="af od" href="https://en.wikipedia.org/wiki/Real-time_strategy" rel="noopener ugc nofollow" target="_blank">real-time strategy (RTS)</a> principles inform <em class="oc">Agentic UI (AUI)</em>, focusing on <strong class="ni ha">five key elements: map layout, resource dashboards, task orchestration, event logs, and conflict resolution</strong>.</p><figure class="oh oi oj ok ol om oe of paragraph-image"><div role="button" tabindex="0" class="on oo fj op bh oq"><div class="oe of og"><picture><source srcSet="https://miro.medium.com/v2/resize:fit:640/format:webp/1*yXcpRghSgIugaayuG7hi9w@2x.jpeg 640w, https://miro.medium.com/v2/resize:fit:720/format:webp/1*yXcpRghSgIugaayuG7hi9w@2x.jpeg 720w, https://miro.medium.com/v2/resize:fit:750/format:webp/1*yXcpRghSgIugaayuG7hi9w@2x.jpeg 750w, https://miro.medium.com/v2/resize:fit:786/format:webp/1*yXcpRghSgIugaayuG7hi9w@2x.jpeg 786w, https://miro.medium.com/v2/resize:fit:828/format:webp/1*yXcpRghSgIugaayuG7hi9w@2x.jpeg 828w, https://miro.medium.com/v2/resize:fit:1100/format:webp/1*yXcpRghSgIugaayuG7hi9w@2x.jpeg 1100w, https://miro.medium.com/v2/resize:fit:1400/format:webp/1*yXcpRghSgIugaayuG7hi9w@2x.jpeg 1400w" sizes="(min-resolution: 4dppx) and (max-width: 700px) 50vw, (-webkit-min-device-pixel-ratio: 4) and (max-width: 700px) 50vw, (min-resolution: 3dppx) and (max-width: 700px) 67vw, (-webkit-min-device-pixel-ratio: 3) and (max-width: 700px) 65vw, (min-resolution: 2.5dppx) and (max-width: 700px) 80vw, (-webkit-min-device-pixel-ratio: 2.5) and (max-width: 700px) 80vw, (min-resolution: 2dppx) and (max-width: 700px) 100vw, (-webkit-min-device-pixel-ratio: 2) and (max-width: 700px) 100vw, 700px" type="image/webp"/><source data-testid="og" srcSet="https://miro.medium.com/v2/resize:fit:640/1*yXcpRghSgIugaayuG7hi9w@2x.jpeg 640w, https://miro.medium.com/v2/resize:fit:720/1*yXcpRghSgIugaayuG7hi9w@2x.jpeg 720w, https://miro.medium.com/v2/resize:fit:750/1*yXcpRghSgIugaayuG7hi9w@2x.jpeg 750w, https://miro.medium.com/v2/resize:fit:786/1*yXcpRghSgIugaayuG7hi9w@2x.jpeg 786w, https://miro.medium.com/v2/resize:fit:828/1*yXcpRghSgIugaayuG7hi9w@2x.jpeg 828w, https://miro.medium.com/v2/resize:fit:1100/1*yXcpRghSgIugaayuG7hi9w@2x.jpeg 1100w, https://miro.medium.com/v2/resize:fit:1400/1*yXcpRghSgIugaayuG7hi9w@2x.jpeg 1400w" sizes="(min-resolution: 4dppx) and (max-width: 700px) 50vw, (-webkit-min-device-pixel-ratio: 4) and (max-width: 700px) 50vw, (min-resolution: 3dppx) and (max-width: 700px) 67vw, (-webkit-min-device-pixel-ratio: 3) and (max-width: 700px) 65vw, (min-resolution: 2.5dppx) and (max-width: 700px) 80vw, (-webkit-min-device-pixel-ratio: 2.5) and (max-width: 700px) 80vw, (min-resolution: 2dppx) and (max-width: 700px) 100vw, (-webkit-min-device-pixel-ratio: 2) and (max-width: 700px) 100vw, 700px"/><img alt="" class="bh mn or c" width="700" height="438" loading="lazy" role="presentation"/></picture></div></div></figure><blockquote class="os"><p id="bb35" class="ot ou gz bf ov ow ox oy oz pa pb ob du">Image Source: <a class="af od" href="https://wallpapers.com/wallpapers/star-wars-space-battle-fleet-formation-q5h1sorz0qxudy6b.html" rel="noopener ugc nofollow" target="_blank">Star Wars Space Battle Fleet Formation Wallpaper</a></p></blockquote><h1 id="ae27" class="pc pd gz bf pe pf pg hv ph pi pj hy pk pl pm pn po pp pq pr ps pt pu pv pw px bk">Recap</h1><ul class=""><li id="1326" class="ng nh gz ni b ht py nk nl hw pz nn no np qa nr ns nt qb nv nw nx qc nz oa ob qd qe qf bk">In <a class="af od" rel="noopener" href="/sadasant/propaganda-prompt-organization-and-political-analysis-for-group-agent-networks-and-distributed-6bc49e8bac56">Prompt Organization, and Political Analysis for Group-Agent Networks and Distributed Architectures</a>, we saw how prompt strategies can mold “digital societies” of AI agents, much like propaganda frames human communities.</li><li id="1b0a" class="ng nh gz ni b ht qg nk nl hw qh nn no np qi nr ns nt qj nv nw nx qk nz oa ob qd qe qf bk"><a class="af od" rel="noopener" href="/sadasant/beyond-function-calling-how-multi-agent-ai-will-reshape-distributed-systems-1206d41c86f2">Beyond Function Calling: How Multi-Agent AI Will Reshape Distributed Systems</a> then showed how stateless APIs and linear workflows are evolving into adaptive agent orchestration.</li><li id="d3c8" class="ng nh gz ni b ht qg nk nl hw qh nn no np qi nr ns nt qj nv nw nx qk nz oa ob qd qe qf bk">In <a class="af od" rel="noopener" href="/sadasant/ai-markup-from-syntax-to-execution-graphs-in-agentic-workflows-5f9ad73ee48f">AI Markup: From Syntax to Execution Graphs in Agentic Workflows</a>, we explored structured markup that keeps multi-agent systems transparent and scalable.</li><li id="639a" class="ng nh gz ni b ht qg nk nl hw qh nn no np qi nr ns nt qj nv nw nx qk nz oa ob qd qe qf bk">Then, in <a class="af od" rel="noopener" href="/sadasant/cryptoeconomic-justice-a-zero-knowledge-court-for-llm-agents-0bf7cf7196e3">Cryptoeconomic Justice: A Zero-Knowledge Court for LLM Agents</a> we added a trust layer to penalize misreporting without exposing sensitive data.</li><li id="6646" class="ng nh gz ni b ht qg nk nl hw qh nn no np qi nr ns nt qj nv nw nx qk nz oa ob qd qe qf bk">Let’s go back and continue from an earlier piece, <a class="af od" rel="noopener" href="/sadasant/reimagining-ui-in-the-age-of-ai-1ea5729d9ca1">Reimagining UI in the Age of AI</a>, which highlighted why single chat windows can’t keep pace with the concurrency of multi-agent ecosystems.</li></ul><p id="9d52" class="pw-post-body-paragraph ng nh gz ni b ht nj nk nl hw nm nn no np nq nr ns nt nu nv nw nx ny nz oa ob gs bk"><strong class="ni ha">What would be the next logical step? Perhaps a third-person vantage point that lets us see, direct, and govern entire AI swarms </strong>— much like overseeing villagers in a real-time strategy game.</p><h1 id="b780" class="pc pd gz bf pe pf pg hv ph pi pj hy pk pl ql pn po pp qm pr ps pt qn pv pw px bk">Deconstructing Vantage Shifts</h1><p id="21a6" class="pw-post-body-paragraph ng nh gz ni b ht py nk nl hw pz nn no np qa nr ns nt qb nv nw nx qc nz oa ob gs bk"><strong class="ni ha">Human history is littered with vantage shifts</strong>, but they rarely follow a straight line. Perspective doesn’t just “progress”; it loops, regresses, and sometimes resurrects old patterns in new contexts. And at each turn, it changes how we perceive intelligence, agency, and control.</p><figure class="oh oi oj ok ol om oe of paragraph-image"><div role="button" tabindex="0" class="on oo fj op bh oq"><div class="oe of qo"><picture><source srcSet="https://miro.medium.com/v2/resize:fit:640/format:webp/1*fiE54QqlHVZ_3GMNVv7fGg@2x.jpeg 640w, https://miro.medium.com/v2/resize:fit:720/format:webp/1*fiE54QqlHVZ_3GMNVv7fGg@2x.jpeg 720w, https://miro.medium.com/v2/resize:fit:750/format:webp/1*fiE54QqlHVZ_3GMNVv7fGg@2x.jpeg 750w, https://miro.medium.com/v2/resize:fit:786/format:webp/1*fiE54QqlHVZ_3GMNVv7fGg@2x.jpeg 786w, https://miro.medium.com/v2/resize:fit:828/format:webp/1*fiE54QqlHVZ_3GMNVv7fGg@2x.jpeg 828w, https://miro.medium.com/v2/resize:fit:1100/format:webp/1*fiE54QqlHVZ_3GMNVv7fGg@2x.jpeg 1100w, https://miro.medium.com/v2/resize:fit:1400/format:webp/1*fiE54QqlHVZ_3GMNVv7fGg@2x.jpeg 1400w" sizes="(min-resolution: 4dppx) and (max-width: 700px) 50vw, (-webkit-min-device-pixel-ratio: 4) and (max-width: 700px) 50vw, (min-resolution: 3dppx) and (max-width: 700px) 67vw, (-webkit-min-device-pixel-ratio: 3) and (max-width: 700px) 65vw, (min-resolution: 2.5dppx) and (max-width: 700px) 80vw, (-webkit-min-device-pixel-ratio: 2.5) and (max-width: 700px) 80vw, (min-resolution: 2dppx) and (max-width: 700px) 100vw, (-webkit-min-device-pixel-ratio: 2) and (max-width: 700px) 100vw, 700px" type="image/webp"/><source data-testid="og" srcSet="https://miro.medium.com/v2/resize:fit:640/1*fiE54QqlHVZ_3GMNVv7fGg@2x.jpeg 640w, https://miro.medium.com/v2/resize:fit:720/1*fiE54QqlHVZ_3GMNVv7fGg@2x.jpeg 720w, https://miro.medium.com/v2/resize:fit:750/1*fiE54QqlHVZ_3GMNVv7fGg@2x.jpeg 750w, https://miro.medium.com/v2/resize:fit:786/1*fiE54QqlHVZ_3GMNVv7fGg@2x.jpeg 786w, https://miro.medium.com/v2/resize:fit:828/1*fiE54QqlHVZ_3GMNVv7fGg@2x.jpeg 828w, https://miro.medium.com/v2/resize:fit:1100/1*fiE54QqlHVZ_3GMNVv7fGg@2x.jpeg 1100w, https://miro.medium.com/v2/resize:fit:1400/1*fiE54QqlHVZ_3GMNVv7fGg@2x.jpeg 1400w" sizes="(min-resolution: 4dppx) and (max-width: 700px) 50vw, (-webkit-min-device-pixel-ratio: 4) and (max-width: 700px) 50vw, (min-resolution: 3dppx) and (max-width: 700px) 67vw, (-webkit-min-device-pixel-ratio: 3) and (max-width: 700px) 65vw, (min-resolution: 2.5dppx) and (max-width: 700px) 80vw, (-webkit-min-device-pixel-ratio: 2.5) and (max-width: 700px) 80vw, (min-resolution: 2dppx) and (max-width: 700px) 100vw, (-webkit-min-device-pixel-ratio: 2) and (max-width: 700px) 100vw, 700px"/><img alt="" class="bh mn or c" width="700" height="571" loading="lazy" role="presentation"/></picture></div></div></figure><blockquote class="os"><p id="d71e" class="ot ou gz bf ov ow ox oy oz pa pb ob du">Image Source: <a class="af od" href="https://smarthistory.org/deesis-christ-with-the-virgin-mary-and-john-the-baptist-hagia-sophia-istanbul/" rel="noopener ugc nofollow" target="_blank">Late Byzantine naturalism: Hagia Sophia’s Deësis mosaic, by Dr. Evan Freeman</a></p></blockquote><p id="1591" class="pw-post-body-paragraph ng nh gz ni b ht qp nk nl hw qq nn no np qr nr ns nt qs nv nw nx qt nz oa ob gs bk"><strong class="ni ha">In the Middle Ages, sacred art anchored itself in vertical hierarchies: </strong>icons of Mary and Christ looked outward from flat gold backgrounds, embodying a familiar sense of the divine. These figures weren’t realistic — they were psychological anchors. <strong class="ni ha">Perspective wasn’t about space; it was about relationship.</strong> You looked up toward them, not into their world.</p><p id="4925" class="pw-post-body-paragraph ng nh gz ni b ht nj nk nl hw nm nn no np nq nr ns nt nu nv nw nx ny nz oa ob gs bk">Then came linear perspective. Masaccio’s <a class="af od" href="https://en.wikipedia.org/wiki/Holy_Trinity_(Masaccio)" rel="noopener ugc nofollow" target="_blank">Holy Trinity</a> brought the divine into spatial alignment with the human. <strong class="ni ha">The sacred stepped into the world of measurable space.</strong> Over time, that human-centric realism gave way to collective scenes, then to still life, then to landscape. By the time <a class="af od" href="https://en.wikipedia.org/wiki/Claude_Monet" rel="noopener ugc nofollow" target="_blank">Monet</a> painted light instead of people, art had shifted from the familiar to the abstract. And when <a class="af od" href="https://en.wikipedia.org/wiki/Mark_Rothko" rel="noopener ugc nofollow" target="_blank">Rothko</a> laid vast color fields across the canvas, we had, in a sense, returned to the pre-figurative: elemental, symbolic, and raw.</p><figure class="oh oi oj ok ol om oe of paragraph-image"><div role="button" tabindex="0" class="on oo fj op bh oq"><div class="oe of qu"><picture><source srcSet="https://miro.medium.com/v2/resize:fit:640/format:webp/1*Z5ksl_5-sD4VTAhFgpvBmA@2x.jpeg 640w, https://miro.medium.com/v2/resize:fit:720/format:webp/1*Z5ksl_5-sD4VTAhFgpvBmA@2x.jpeg 720w, https://miro.medium.com/v2/resize:fit:750/format:webp/1*Z5ksl_5-sD4VTAhFgpvBmA@2x.jpeg 750w, https://miro.medium.com/v2/resize:fit:786/format:webp/1*Z5ksl_5-sD4VTAhFgpvBmA@2x.jpeg 786w, https://miro.medium.com/v2/resize:fit:828/format:webp/1*Z5ksl_5-sD4VTAhFgpvBmA@2x.jpeg 828w, https://miro.medium.com/v2/resize:fit:1100/format:webp/1*Z5ksl_5-sD4VTAhFgpvBmA@2x.jpeg 1100w, https://miro.medium.com/v2/resize:fit:1400/format:webp/1*Z5ksl_5-sD4VTAhFgpvBmA@2x.jpeg 1400w" sizes="(min-resolution: 4dppx) and (max-width: 700px) 50vw, (-webkit-min-device-pixel-ratio: 4) and (max-width: 700px) 50vw, (min-resolution: 3dppx) and (max-width: 700px) 67vw, (-webkit-min-device-pixel-ratio: 3) and (max-width: 700px) 65vw, (min-resolution: 2.5dppx) and (max-width: 700px) 80vw, (-webkit-min-device-pixel-ratio: 2.5) and (max-width: 700px) 80vw, (min-resolution: 2dppx) and (max-width: 700px) 100vw, (-webkit-min-device-pixel-ratio: 2) and (max-width: 700px) 100vw, 700px" type="image/webp"/><source data-testid="og" srcSet="https://miro.medium.com/v2/resize:fit:640/1*Z5ksl_5-sD4VTAhFgpvBmA@2x.jpeg 640w, https://miro.medium.com/v2/resize:fit:720/1*Z5ksl_5-sD4VTAhFgpvBmA@2x.jpeg 720w, https://miro.medium.com/v2/resize:fit:750/1*Z5ksl_5-sD4VTAhFgpvBmA@2x.jpeg 750w, https://miro.medium.com/v2/resize:fit:786/1*Z5ksl_5-sD4VTAhFgpvBmA@2x.jpeg 786w, https://miro.medium.com/v2/resize:fit:828/1*Z5ksl_5-sD4VTAhFgpvBmA@2x.jpeg 828w, https://miro.medium.com/v2/resize:fit:1100/1*Z5ksl_5-sD4VTAhFgpvBmA@2x.jpeg 1100w, https://miro.medium.com/v2/resize:fit:1400/1*Z5ksl_5-sD4VTAhFgpvBmA@2x.jpeg 1400w" sizes="(min-resolution: 4dppx) and (max-width: 700px) 50vw, (-webkit-min-device-pixel-ratio: 4) and (max-width: 700px) 50vw, (min-resolution: 3dppx) and (max-width: 700px) 67vw, (-webkit-min-device-pixel-ratio: 3) and (max-width: 700px) 65vw, (min-resolution: 2.5dppx) and (max-width: 700px) 80vw, (-webkit-min-device-pixel-ratio: 2.5) and (max-width: 700px) 80vw, (min-resolution: 2dppx) and (max-width: 700px) 100vw, (-webkit-min-device-pixel-ratio: 2) and (max-width: 700px) 100vw, 700px"/><img alt="" class="bh mn or c" width="700" height="394" loading="lazy" role="presentation"/></picture></div></div></figure><blockquote class="os"><p id="583b" class="ot ou gz bf ov ow ox oy oz pa pb ob du">Image Source: <a class="af od" href="https://www.guggenheim.org/exhibition/mark-rothko-walls-of-light" rel="noopener ugc nofollow" target="_blank">Mark Rothko: Walls of Light, Guggenheim, NY</a></p></blockquote><p id="9839" class="pw-post-body-paragraph ng nh gz ni b ht qp nk nl hw qq nn no np qr nr ns nt qs nv nw nx qt nz oa ob gs bk"><strong class="ni ha">Now consider computing interfaces.</strong> They didn’t start with the familiar; they started with the abstract. The terminal shell resembles a Rothko painting: raw text on a featureless plane, inviting intellectual engagement without representational crutches. Like medieval theologians reading scripture, early programmers read streams of symbolic language, parsing logic directly.</p><figure class="oh oi oj ok ol om oe of paragraph-image"><div role="button" tabindex="0" class="on oo fj op bh oq"><div class="oe of qv"><picture><source srcSet="https://miro.medium.com/v2/resize:fit:640/format:webp/1*RLZLwY3sJ88XyozndsxtIA@2x.jpeg 640w, https://miro.medium.com/v2/resize:fit:720/format:webp/1*RLZLwY3sJ88XyozndsxtIA@2x.jpeg 720w, https://miro.medium.com/v2/resize:fit:750/format:webp/1*RLZLwY3sJ88XyozndsxtIA@2x.jpeg 750w, https://miro.medium.com/v2/resize:fit:786/format:webp/1*RLZLwY3sJ88XyozndsxtIA@2x.jpeg 786w, https://miro.medium.com/v2/resize:fit:828/format:webp/1*RLZLwY3sJ88XyozndsxtIA@2x.jpeg 828w, https://miro.medium.com/v2/resize:fit:1100/format:webp/1*RLZLwY3sJ88XyozndsxtIA@2x.jpeg 1100w, https://miro.medium.com/v2/resize:fit:1400/format:webp/1*RLZLwY3sJ88XyozndsxtIA@2x.jpeg 1400w" sizes="(min-resolution: 4dppx) and (max-width: 700px) 50vw, (-webkit-min-device-pixel-ratio: 4) and (max-width: 700px) 50vw, (min-resolution: 3dppx) and (max-width: 700px) 67vw, (-webkit-min-device-pixel-ratio: 3) and (max-width: 700px) 65vw, (min-resolution: 2.5dppx) and (max-width: 700px) 80vw, (-webkit-min-device-pixel-ratio: 2.5) and (max-width: 700px) 80vw, (min-resolution: 2dppx) and (max-width: 700px) 100vw, (-webkit-min-device-pixel-ratio: 2) and (max-width: 700px) 100vw, 700px" type="image/webp"/><source data-testid="og" srcSet="https://miro.medium.com/v2/resize:fit:640/1*RLZLwY3sJ88XyozndsxtIA@2x.jpeg 640w, https://miro.medium.com/v2/resize:fit:720/1*RLZLwY3sJ88XyozndsxtIA@2x.jpeg 720w, https://miro.medium.com/v2/resize:fit:750/1*RLZLwY3sJ88XyozndsxtIA@2x.jpeg 750w, https://miro.medium.com/v2/resize:fit:786/1*RLZLwY3sJ88XyozndsxtIA@2x.jpeg 786w, https://miro.medium.com/v2/resize:fit:828/1*RLZLwY3sJ88XyozndsxtIA@2x.jpeg 828w, https://miro.medium.com/v2/resize:fit:1100/1*RLZLwY3sJ88XyozndsxtIA@2x.jpeg 1100w, https://miro.medium.com/v2/resize:fit:1400/1*RLZLwY3sJ88XyozndsxtIA@2x.jpeg 1400w" sizes="(min-resolution: 4dppx) and (max-width: 700px) 50vw, (-webkit-min-device-pixel-ratio: 4) and (max-width: 700px) 50vw, (min-resolution: 3dppx) and (max-width: 700px) 67vw, (-webkit-min-device-pixel-ratio: 3) and (max-width: 700px) 65vw, (min-resolution: 2.5dppx) and (max-width: 700px) 80vw, (-webkit-min-device-pixel-ratio: 2.5) and (max-width: 700px) 80vw, (min-resolution: 2dppx) and (max-width: 700px) 100vw, (-webkit-min-device-pixel-ratio: 2) and (max-width: 700px) 100vw, 700px"/><img alt="" class="bh mn or c" width="700" height="443" loading="lazy" role="presentation"/></picture></div></div></figure><blockquote class="os"><p id="47be" class="ot ou gz bf ov ow ox oy oz pa pb ob du">Image Source: <a class="af od" href="https://www.geeksforgeeks.org/what-is-terminal-console-shell-and-kernel/" rel="noopener ugc nofollow" target="_blank">What is Terminal, Console, Shell and Kernel?</a></p></blockquote><p id="89ee" class="pw-post-body-paragraph ng nh gz ni b ht qp nk nl hw qq nn no np qr nr ns nt qs nv nw nx qt nz oa ob gs bk"><strong class="ni ha">But then came skeuomorphism.</strong> Just as Renaissance still lifes anchored viewers with familiar objects — fruit, goblets, skulls — GUIs grounded computing in metaphor. Folders, trash bins, buttons: these were the “apples and candlesticks” of the digital age, artifacts designed to ease users into alien computational environments.</p><figure class="oh oi oj ok ol om oe of paragraph-image"><div role="button" tabindex="0" class="on oo fj op bh oq"><div class="oe of qw"><picture><source srcSet="https://miro.medium.com/v2/resize:fit:640/format:webp/1*D1imtixQdHuJTgB8osiYOQ@2x.jpeg 640w, https://miro.medium.com/v2/resize:fit:720/format:webp/1*D1imtixQdHuJTgB8osiYOQ@2x.jpeg 720w, https://miro.medium.com/v2/resize:fit:750/format:webp/1*D1imtixQdHuJTgB8osiYOQ@2x.jpeg 750w, https://miro.medium.com/v2/resize:fit:786/format:webp/1*D1imtixQdHuJTgB8osiYOQ@2x.jpeg 786w, https://miro.medium.com/v2/resize:fit:828/format:webp/1*D1imtixQdHuJTgB8osiYOQ@2x.jpeg 828w, https://miro.medium.com/v2/resize:fit:1100/format:webp/1*D1imtixQdHuJTgB8osiYOQ@2x.jpeg 1100w, https://miro.medium.com/v2/resize:fit:1400/format:webp/1*D1imtixQdHuJTgB8osiYOQ@2x.jpeg 1400w" sizes="(min-resolution: 4dppx) and (max-width: 700px) 50vw, (-webkit-min-device-pixel-ratio: 4) and (max-width: 700px) 50vw, (min-resolution: 3dppx) and (max-width: 700px) 67vw, (-webkit-min-device-pixel-ratio: 3) and (max-width: 700px) 65vw, (min-resolution: 2.5dppx) and (max-width: 700px) 80vw, (-webkit-min-device-pixel-ratio: 2.5) and (max-width: 700px) 80vw, (min-resolution: 2dppx) and (max-width: 700px) 100vw, (-webkit-min-device-pixel-ratio: 2) and (max-width: 700px) 100vw, 700px" type="image/webp"/><source data-testid="og" srcSet="https://miro.medium.com/v2/resize:fit:640/1*D1imtixQdHuJTgB8osiYOQ@2x.jpeg 640w, https://miro.medium.com/v2/resize:fit:720/1*D1imtixQdHuJTgB8osiYOQ@2x.jpeg 720w, https://miro.medium.com/v2/resize:fit:750/1*D1imtixQdHuJTgB8osiYOQ@2x.jpeg 750w, https://miro.medium.com/v2/resize:fit:786/1*D1imtixQdHuJTgB8osiYOQ@2x.jpeg 786w, https://miro.medium.com/v2/resize:fit:828/1*D1imtixQdHuJTgB8osiYOQ@2x.jpeg 828w, https://miro.medium.com/v2/resize:fit:1100/1*D1imtixQdHuJTgB8osiYOQ@2x.jpeg 1100w, https://miro.medium.com/v2/resize:fit:1400/1*D1imtixQdHuJTgB8osiYOQ@2x.jpeg 1400w" sizes="(min-resolution: 4dppx) and (max-width: 700px) 50vw, (-webkit-min-device-pixel-ratio: 4) and (max-width: 700px) 50vw, (min-resolution: 3dppx) and (max-width: 700px) 67vw, (-webkit-min-device-pixel-ratio: 3) and (max-width: 700px) 65vw, (min-resolution: 2.5dppx) and (max-width: 700px) 80vw, (-webkit-min-device-pixel-ratio: 2.5) and (max-width: 700px) 80vw, (min-resolution: 2dppx) and (max-width: 700px) 100vw, (-webkit-min-device-pixel-ratio: 2) and (max-width: 700px) 100vw, 700px"/><img alt="" class="bh mn or c" width="700" height="472" loading="lazy" role="presentation"/></picture></div></div></figure><blockquote class="os"><p id="8a9c" class="ot ou gz bf ov ow ox oy oz pa pb ob du">Image Source: <a class="af od" href="https://www.are.na/block/3843651" rel="noopener ugc nofollow" target="_blank">Still Life with a Skull and a Writing Quill, by Pieter Claesz (1628)</a></p></blockquote><p id="4a30" class="pw-post-body-paragraph ng nh gz ni b ht qp nk nl hw qq nn no np qr nr ns nt qs nv nw nx qt nz oa ob gs bk">(<em class="oc">At the rist of, perhaps sacrilege…</em>) <a class="af od" href="https://en.wikipedia.org/wiki/VTuber" rel="noopener ugc nofollow" target="_blank"><strong class="ni ha">VTubers</strong></a><strong class="ni ha"> mirror portraiture in the same way. </strong>The Renaissance portrait wasn’t just a likeness; it was a social artifact — a window into power, identity, and status. VTubers do the same in digital space: virtual avatars tethered to real humans, blending anonymity with intimacy. The vantage here is personal, even as it becomes increasingly synthetic.</p><figure class="oh oi oj ok ol om oe of paragraph-image"><div role="button" tabindex="0" class="on oo fj op bh oq"><div class="oe of qx"><picture><source srcSet="https://miro.medium.com/v2/resize:fit:640/format:webp/1*6qGamt_X74A37PFi5SKhiQ@2x.jpeg 640w, https://miro.medium.com/v2/resize:fit:720/format:webp/1*6qGamt_X74A37PFi5SKhiQ@2x.jpeg 720w, https://miro.medium.com/v2/resize:fit:750/format:webp/1*6qGamt_X74A37PFi5SKhiQ@2x.jpeg 750w, https://miro.medium.com/v2/resize:fit:786/format:webp/1*6qGamt_X74A37PFi5SKhiQ@2x.jpeg 786w, https://miro.medium.com/v2/resize:fit:828/format:webp/1*6qGamt_X74A37PFi5SKhiQ@2x.jpeg 828w, https://miro.medium.com/v2/resize:fit:1100/format:webp/1*6qGamt_X74A37PFi5SKhiQ@2x.jpeg 1100w, https://miro.medium.com/v2/resize:fit:1400/format:webp/1*6qGamt_X74A37PFi5SKhiQ@2x.jpeg 1400w" sizes="(min-resolution: 4dppx) and (max-width: 700px) 50vw, (-webkit-min-device-pixel-ratio: 4) and (max-width: 700px) 50vw, (min-resolution: 3dppx) and (max-width: 700px) 67vw, (-webkit-min-device-pixel-ratio: 3) and (max-width: 700px) 65vw, (min-resolution: 2.5dppx) and (max-width: 700px) 80vw, (-webkit-min-device-pixel-ratio: 2.5) and (max-width: 700px) 80vw, (min-resolution: 2dppx) and (max-width: 700px) 100vw, (-webkit-min-device-pixel-ratio: 2) and (max-width: 700px) 100vw, 700px" type="image/webp"/><source data-testid="og" srcSet="https://miro.medium.com/v2/resize:fit:640/1*6qGamt_X74A37PFi5SKhiQ@2x.jpeg 640w, https://miro.medium.com/v2/resize:fit:720/1*6qGamt_X74A37PFi5SKhiQ@2x.jpeg 720w, https://miro.medium.com/v2/resize:fit:750/1*6qGamt_X74A37PFi5SKhiQ@2x.jpeg 750w, https://miro.medium.com/v2/resize:fit:786/1*6qGamt_X74A37PFi5SKhiQ@2x.jpeg 786w, https://miro.medium.com/v2/resize:fit:828/1*6qGamt_X74A37PFi5SKhiQ@2x.jpeg 828w, https://miro.medium.com/v2/resize:fit:1100/1*6qGamt_X74A37PFi5SKhiQ@2x.jpeg 1100w, https://miro.medium.com/v2/resize:fit:1400/1*6qGamt_X74A37PFi5SKhiQ@2x.jpeg 1400w" sizes="(min-resolution: 4dppx) and (max-width: 700px) 50vw, (-webkit-min-device-pixel-ratio: 4) and (max-width: 700px) 50vw, (min-resolution: 3dppx) and (max-width: 700px) 67vw, (-webkit-min-device-pixel-ratio: 3) and (max-width: 700px) 65vw, (min-resolution: 2.5dppx) and (max-width: 700px) 80vw, (-webkit-min-device-pixel-ratio: 2.5) and (max-width: 700px) 80vw, (min-resolution: 2dppx) and (max-width: 700px) 100vw, (-webkit-min-device-pixel-ratio: 2) and (max-width: 700px) 100vw, 700px"/><img alt="" class="bh mn or c" width="700" height="690" loading="lazy" role="presentation"/></picture></div></div></figure><blockquote class="os"><p id="e7fc" class="ot ou gz bf ov ow ox oy oz pa pb ob du">Image Source: <a class="af od" href="http://art-in-space.blogspot.com/2017/05/hans-holbein-younger-ambassadors-1533.html" rel="noopener ugc nofollow" target="_blank">Hans Holbein the Younger’s “The Ambassadors” (1533)</a></p></blockquote><p id="d8ee" class="pw-post-body-paragraph ng nh gz ni b ht qp nk nl hw qq nn no np qr nr ns nt qs nv nw nx qt nz oa ob gs bk"><strong class="ni ha">Now AI forces us to pull back once again. </strong>We’ve grown used to second-person interactions: chatbots that respond as if they’re peers, co-workers, or companions. But as agents multiply, this perspective breaks down. Managing hundreds of autonomous agents through conversational threads is like trying to organize a city via text messages.</p><figure class="oh oi oj ok ol om oe of paragraph-image"><div role="button" tabindex="0" class="on oo fj op bh oq"><div class="oe of qy"><picture><source srcSet="https://miro.medium.com/v2/resize:fit:640/format:webp/1*QoczzWFXr2E6MSZ-3I5U7w@2x.jpeg 640w, https://miro.medium.com/v2/resize:fit:720/format:webp/1*QoczzWFXr2E6MSZ-3I5U7w@2x.jpeg 720w, https://miro.medium.com/v2/resize:fit:750/format:webp/1*QoczzWFXr2E6MSZ-3I5U7w@2x.jpeg 750w, https://miro.medium.com/v2/resize:fit:786/format:webp/1*QoczzWFXr2E6MSZ-3I5U7w@2x.jpeg 786w, https://miro.medium.com/v2/resize:fit:828/format:webp/1*QoczzWFXr2E6MSZ-3I5U7w@2x.jpeg 828w, https://miro.medium.com/v2/resize:fit:1100/format:webp/1*QoczzWFXr2E6MSZ-3I5U7w@2x.jpeg 1100w, https://miro.medium.com/v2/resize:fit:1400/format:webp/1*QoczzWFXr2E6MSZ-3I5U7w@2x.jpeg 1400w" sizes="(min-resolution: 4dppx) and (max-width: 700px) 50vw, (-webkit-min-device-pixel-ratio: 4) and (max-width: 700px) 50vw, (min-resolution: 3dppx) and (max-width: 700px) 67vw, (-webkit-min-device-pixel-ratio: 3) and (max-width: 700px) 65vw, (min-resolution: 2.5dppx) and (max-width: 700px) 80vw, (-webkit-min-device-pixel-ratio: 2.5) and (max-width: 700px) 80vw, (min-resolution: 2dppx) and (max-width: 700px) 100vw, (-webkit-min-device-pixel-ratio: 2) and (max-width: 700px) 100vw, 700px" type="image/webp"/><source data-testid="og" srcSet="https://miro.medium.com/v2/resize:fit:640/1*QoczzWFXr2E6MSZ-3I5U7w@2x.jpeg 640w, https://miro.medium.com/v2/resize:fit:720/1*QoczzWFXr2E6MSZ-3I5U7w@2x.jpeg 720w, https://miro.medium.com/v2/resize:fit:750/1*QoczzWFXr2E6MSZ-3I5U7w@2x.jpeg 750w, https://miro.medium.com/v2/resize:fit:786/1*QoczzWFXr2E6MSZ-3I5U7w@2x.jpeg 786w, https://miro.medium.com/v2/resize:fit:828/1*QoczzWFXr2E6MSZ-3I5U7w@2x.jpeg 828w, https://miro.medium.com/v2/resize:fit:1100/1*QoczzWFXr2E6MSZ-3I5U7w@2x.jpeg 1100w, https://miro.medium.com/v2/resize:fit:1400/1*QoczzWFXr2E6MSZ-3I5U7w@2x.jpeg 1400w" sizes="(min-resolution: 4dppx) and (max-width: 700px) 50vw, (-webkit-min-device-pixel-ratio: 4) and (max-width: 700px) 50vw, (min-resolution: 3dppx) and (max-width: 700px) 67vw, (-webkit-min-device-pixel-ratio: 3) and (max-width: 700px) 65vw, (min-resolution: 2.5dppx) and (max-width: 700px) 80vw, (-webkit-min-device-pixel-ratio: 2.5) and (max-width: 700px) 80vw, (min-resolution: 2dppx) and (max-width: 700px) 100vw, (-webkit-min-device-pixel-ratio: 2) and (max-width: 700px) 100vw, 700px"/><img alt="" class="bh mn or c" width="700" height="480" loading="lazy" role="presentation"/></picture></div></div></figure><blockquote class="os"><p id="30d7" class="ot ou gz bf ov ow ox oy oz pa pb ob du">Image Source: <a class="af od" href="https://flashbak.com/lorenzettis-allegory-of-good-and-bad-government-a-revolutionary-painting-for-then-and-now-373579/" rel="noopener ugc nofollow" target="_blank">Lorenzetti’s Allegory of Good and Bad Government: A Revolutionary Painting For Then And Now</a></p></blockquote><p id="95bc" class="pw-post-body-paragraph ng nh gz ni b ht qp nk nl hw qq nn no np qr nr ns nt qs nv nw nx qt nz oa ob gs bk"><strong class="ni ha">We’ve reached the need for a third-person, god’s-eye vantage </strong>— one that mirrors the wide-angle perspectives of Renaissance cityscapes or the strategic overhead views of Age of Empires. We don’t just need to interact with agents; we need to oversee, coordinate, and understand their emergent patterns across time and tasks.</p><p id="8da8" class="pw-post-body-paragraph ng nh gz ni b ht nj nk nl hw nm nn no np nq nr ns nt nu nv nw nx ny nz oa ob gs bk"><strong class="ni ha">What’s strange and fascinating:</strong> this vantage doesn’t just resemble the managerial perspective of a city planner or general. It starts to look like the vantage of divine figures in older artworks. The more we abstract intelligence into agentic collectives, the more our gaze aligns with the detached, all-seeing vantage of Odin, the all-seeing eye of medieval manuscripts, or the silent, inscriptive presence of Thoth, forever recording the unfolding of order from chaos.</p><figure class="oh oi oj ok ol om oe of paragraph-image"><div role="button" tabindex="0" class="on oo fj op bh oq"><div class="oe of qz"><picture><source srcSet="https://miro.medium.com/v2/resize:fit:640/format:webp/1*0y8VXACzOruQFYox1Uai9g@2x.jpeg 640w, https://miro.medium.com/v2/resize:fit:720/format:webp/1*0y8VXACzOruQFYox1Uai9g@2x.jpeg 720w, https://miro.medium.com/v2/resize:fit:750/format:webp/1*0y8VXACzOruQFYox1Uai9g@2x.jpeg 750w, https://miro.medium.com/v2/resize:fit:786/format:webp/1*0y8VXACzOruQFYox1Uai9g@2x.jpeg 786w, https://miro.medium.com/v2/resize:fit:828/format:webp/1*0y8VXACzOruQFYox1Uai9g@2x.jpeg 828w, https://miro.medium.com/v2/resize:fit:1100/format:webp/1*0y8VXACzOruQFYox1Uai9g@2x.jpeg 1100w, https://miro.medium.com/v2/resize:fit:1400/format:webp/1*0y8VXACzOruQFYox1Uai9g@2x.jpeg 1400w" sizes="(min-resolution: 4dppx) and (max-width: 700px) 50vw, (-webkit-min-device-pixel-ratio: 4) and (max-width: 700px) 50vw, (min-resolution: 3dppx) and (max-width: 700px) 67vw, (-webkit-min-device-pixel-ratio: 3) and (max-width: 700px) 65vw, (min-resolution: 2.5dppx) and (max-width: 700px) 80vw, (-webkit-min-device-pixel-ratio: 2.5) and (max-width: 700px) 80vw, (min-resolution: 2dppx) and (max-width: 700px) 100vw, (-webkit-min-device-pixel-ratio: 2) and (max-width: 700px) 100vw, 700px" type="image/webp"/><source data-testid="og" srcSet="https://miro.medium.com/v2/resize:fit:640/1*0y8VXACzOruQFYox1Uai9g@2x.jpeg 640w, https://miro.medium.com/v2/resize:fit:720/1*0y8VXACzOruQFYox1Uai9g@2x.jpeg 720w, https://miro.medium.com/v2/resize:fit:750/1*0y8VXACzOruQFYox1Uai9g@2x.jpeg 750w, https://miro.medium.com/v2/resize:fit:786/1*0y8VXACzOruQFYox1Uai9g@2x.jpeg 786w, https://miro.medium.com/v2/resize:fit:828/1*0y8VXACzOruQFYox1Uai9g@2x.jpeg 828w, https://miro.medium.com/v2/resize:fit:1100/1*0y8VXACzOruQFYox1Uai9g@2x.jpeg 1100w, https://miro.medium.com/v2/resize:fit:1400/1*0y8VXACzOruQFYox1Uai9g@2x.jpeg 1400w" sizes="(min-resolution: 4dppx) and (max-width: 700px) 50vw, (-webkit-min-device-pixel-ratio: 4) and (max-width: 700px) 50vw, (min-resolution: 3dppx) and (max-width: 700px) 67vw, (-webkit-min-device-pixel-ratio: 3) and (max-width: 700px) 65vw, (min-resolution: 2.5dppx) and (max-width: 700px) 80vw, (-webkit-min-device-pixel-ratio: 2.5) and (max-width: 700px) 80vw, (min-resolution: 2dppx) and (max-width: 700px) 100vw, (-webkit-min-device-pixel-ratio: 2) and (max-width: 700px) 100vw, 700px"/><img alt="" class="bh mn or c" width="700" height="525" loading="lazy" role="presentation"/></picture></div></div></figure><blockquote class="os"><p id="5e44" class="ot ou gz bf ov ow ox oy oz pa pb ob du">Image Source: <a class="af od" href="https://www.meisterdrucke.ae/fine-art-prints/Egyptian-19th-Dynasty/1092522/Egypt,-Thebes,-Luxor,-Valley-of-the-Queens,-Tomb-of-Nefertari,-Annex-to-antechamber,-Mural-paintings,-Queen-before-divine-scribe-Thoth.html" rel="noopener ugc nofollow" target="_blank">Egypt, Thebes, Luxor, Valley of the Queens, Tomb of Nefertari, Annex to antechamber, Mural paintings, Queen before divine scribe Thoth</a></p></blockquote><p id="78d7" class="pw-post-body-paragraph ng nh gz ni b ht qp nk nl hw qq nn no np qr nr ns nt qs nv nw nx qt nz oa ob gs bk"><strong class="ni ha">This might be the deepest regression yet.</strong> In seeking to control swarms of digital agents, we inadvertently return to behold what was once reserved for gods and myths. The “<em class="oc">alien intelligence</em>” we attribute to advanced models feels oddly familiar, mirroring the unknowable yet ordered forces that ancient societies projected onto their cosmologies.</p><p id="2281" class="pw-post-body-paragraph ng nh gz ni b ht nj nk nl hw nm nn no np nq nr ns nt nu nv nw nx ny nz oa ob gs bk">So maybe we aren’t progressing linearly. Maybe we’re closing a loop, returning depictions of the divine — this time with dashboards and token metrics instead of gold-leaf halos.</p><p id="e513" class="pw-post-body-paragraph ng nh gz ni b ht nj nk nl hw nm nn no np nq nr ns nt nu nv nw nx ny nz oa ob gs bk">Perhaps because, at the eve of superintelligence, when AI fragments into a swarm of agents, and all statistical metrics go off the charts, the only way to grasp the scale of the system might be to see it from above — like a deity surveying creation.</p><h1 id="343c" class="pc pd gz bf pe pf pg hv ph pi pj hy pk pl ql pn po pp qm pr ps pt qn pv pw px bk">Digital Apotheosis</h1><p id="41dc" class="pw-post-body-paragraph ng nh gz ni b ht py nk nl hw pz nn no np qa nr ns nt qb nv nw nx qc nz oa ob gs bk"><strong class="ni ha">The first-person vantage in technology has always been about direct, unmediated control.</strong> Early computer interfaces were unapologetically first-person: blinking command-line prompts like MS-DOS or UNIX shells, where the user issued instructions with the stark intimacy of a parent holding the hand of a child through the depth of a blackout. <em class="oc">cd ~/Documents</em> wasn’t just a command; it was a first-person act of traversal — I go here, I execute this.</p><figure class="oh oi oj ok ol om oe of paragraph-image"><div role="button" tabindex="0" class="on oo fj op bh oq"><div class="oe of ra"><picture><source srcSet="https://miro.medium.com/v2/resize:fit:640/format:webp/1*KUoMBP_QR7BNtVjt6LFlJA@2x.jpeg 640w, https://miro.medium.com/v2/resize:fit:720/format:webp/1*KUoMBP_QR7BNtVjt6LFlJA@2x.jpeg 720w, https://miro.medium.com/v2/resize:fit:750/format:webp/1*KUoMBP_QR7BNtVjt6LFlJA@2x.jpeg 750w, https://miro.medium.com/v2/resize:fit:786/format:webp/1*KUoMBP_QR7BNtVjt6LFlJA@2x.jpeg 786w, https://miro.medium.com/v2/resize:fit:828/format:webp/1*KUoMBP_QR7BNtVjt6LFlJA@2x.jpeg 828w, https://miro.medium.com/v2/resize:fit:1100/format:webp/1*KUoMBP_QR7BNtVjt6LFlJA@2x.jpeg 1100w, https://miro.medium.com/v2/resize:fit:1400/format:webp/1*KUoMBP_QR7BNtVjt6LFlJA@2x.jpeg 1400w" sizes="(min-resolution: 4dppx) and (max-width: 700px) 50vw, (-webkit-min-device-pixel-ratio: 4) and (max-width: 700px) 50vw, (min-resolution: 3dppx) and (max-width: 700px) 67vw, (-webkit-min-device-pixel-ratio: 3) and (max-width: 700px) 65vw, (min-resolution: 2.5dppx) and (max-width: 700px) 80vw, (-webkit-min-device-pixel-ratio: 2.5) and (max-width: 700px) 80vw, (min-resolution: 2dppx) and (max-width: 700px) 100vw, (-webkit-min-device-pixel-ratio: 2) and (max-width: 700px) 100vw, 700px" type="image/webp"/><source data-testid="og" srcSet="https://miro.medium.com/v2/resize:fit:640/1*KUoMBP_QR7BNtVjt6LFlJA@2x.jpeg 640w, https://miro.medium.com/v2/resize:fit:720/1*KUoMBP_QR7BNtVjt6LFlJA@2x.jpeg 720w, https://miro.medium.com/v2/resize:fit:750/1*KUoMBP_QR7BNtVjt6LFlJA@2x.jpeg 750w, https://miro.medium.com/v2/resize:fit:786/1*KUoMBP_QR7BNtVjt6LFlJA@2x.jpeg 786w, https://miro.medium.com/v2/resize:fit:828/1*KUoMBP_QR7BNtVjt6LFlJA@2x.jpeg 828w, https://miro.medium.com/v2/resize:fit:1100/1*KUoMBP_QR7BNtVjt6LFlJA@2x.jpeg 1100w, https://miro.medium.com/v2/resize:fit:1400/1*KUoMBP_QR7BNtVjt6LFlJA@2x.jpeg 1400w" sizes="(min-resolution: 4dppx) and (max-width: 700px) 50vw, (-webkit-min-device-pixel-ratio: 4) and (max-width: 700px) 50vw, (min-resolution: 3dppx) and (max-width: 700px) 67vw, (-webkit-min-device-pixel-ratio: 3) and (max-width: 700px) 65vw, (min-resolution: 2.5dppx) and (max-width: 700px) 80vw, (-webkit-min-device-pixel-ratio: 2.5) and (max-width: 700px) 80vw, (min-resolution: 2dppx) and (max-width: 700px) 100vw, (-webkit-min-device-pixel-ratio: 2) and (max-width: 700px) 100vw, 700px"/><img alt="" class="bh mn or c" width="700" height="465" loading="lazy" role="presentation"/></picture></div></div></figure><blockquote class="os"><p id="c8a9" class="ot ou gz bf ov ow ox oy oz pa pb ob du">Image Source: <a class="af od" href="https://www.indieretronews.com/2019/09/adventuron-cavejam-adventuron_27.html" rel="noopener ugc nofollow" target="_blank">Adventuron CaveJam — Adventuron (illustrated) text adventure game creation jam with new games to play!</a></p></blockquote><p id="e9b8" class="pw-post-body-paragraph ng nh gz ni b ht qp nk nl hw qq nn no np qr nr ns nt qs nv nw nx qt nz oa ob gs bk"><strong class="ni ha">Virtual reality inherits this lineage.</strong> When you strap on a headset and look around a simulated environment, you’re immersed in a first-person experience: the digital world bends to your point of view. This vantage excels at single-threaded interaction. It’s deeply intuitive for local manipulation — grab that file, explore that 3D space, execute that process. But it collapses under complexity. <strong class="ni ha">First-person interfaces, by design, tunnel your attention into one task at a time.</strong> Try managing a fleet of <em class="oc">jets</em> or <em class="oc">mechas</em> through a command line or VR dashboard, and you quickly realize the cost of immediacy: you lose sight of the larger system.</p><figure class="oh oi oj ok ol om oe of paragraph-image"><div role="button" tabindex="0" class="on oo fj op bh oq"><div class="oe of rb"><picture><source srcSet="https://miro.medium.com/v2/resize:fit:640/format:webp/1*X-sdElrPcFBRTsY6YWqrFg@2x.jpeg 640w, https://miro.medium.com/v2/resize:fit:720/format:webp/1*X-sdElrPcFBRTsY6YWqrFg@2x.jpeg 720w, https://miro.medium.com/v2/resize:fit:750/format:webp/1*X-sdElrPcFBRTsY6YWqrFg@2x.jpeg 750w, https://miro.medium.com/v2/resize:fit:786/format:webp/1*X-sdElrPcFBRTsY6YWqrFg@2x.jpeg 786w, https://miro.medium.com/v2/resize:fit:828/format:webp/1*X-sdElrPcFBRTsY6YWqrFg@2x.jpeg 828w, https://miro.medium.com/v2/resize:fit:1100/format:webp/1*X-sdElrPcFBRTsY6YWqrFg@2x.jpeg 1100w, https://miro.medium.com/v2/resize:fit:1400/format:webp/1*X-sdElrPcFBRTsY6YWqrFg@2x.jpeg 1400w" sizes="(min-resolution: 4dppx) and (max-width: 700px) 50vw, (-webkit-min-device-pixel-ratio: 4) and (max-width: 700px) 50vw, (min-resolution: 3dppx) and (max-width: 700px) 67vw, (-webkit-min-device-pixel-ratio: 3) and (max-width: 700px) 65vw, (min-resolution: 2.5dppx) and (max-width: 700px) 80vw, (-webkit-min-device-pixel-ratio: 2.5) and (max-width: 700px) 80vw, (min-resolution: 2dppx) and (max-width: 700px) 100vw, (-webkit-min-device-pixel-ratio: 2) and (max-width: 700px) 100vw, 700px" type="image/webp"/><source data-testid="og" srcSet="https://miro.medium.com/v2/resize:fit:640/1*X-sdElrPcFBRTsY6YWqrFg@2x.jpeg 640w, https://miro.medium.com/v2/resize:fit:720/1*X-sdElrPcFBRTsY6YWqrFg@2x.jpeg 720w, https://miro.medium.com/v2/resize:fit:750/1*X-sdElrPcFBRTsY6YWqrFg@2x.jpeg 750w, https://miro.medium.com/v2/resize:fit:786/1*X-sdElrPcFBRTsY6YWqrFg@2x.jpeg 786w, https://miro.medium.com/v2/resize:fit:828/1*X-sdElrPcFBRTsY6YWqrFg@2x.jpeg 828w, https://miro.medium.com/v2/resize:fit:1100/1*X-sdElrPcFBRTsY6YWqrFg@2x.jpeg 1100w, https://miro.medium.com/v2/resize:fit:1400/1*X-sdElrPcFBRTsY6YWqrFg@2x.jpeg 1400w" sizes="(min-resolution: 4dppx) and (max-width: 700px) 50vw, (-webkit-min-device-pixel-ratio: 4) and (max-width: 700px) 50vw, (min-resolution: 3dppx) and (max-width: 700px) 67vw, (-webkit-min-device-pixel-ratio: 3) and (max-width: 700px) 65vw, (min-resolution: 2.5dppx) and (max-width: 700px) 80vw, (-webkit-min-device-pixel-ratio: 2.5) and (max-width: 700px) 80vw, (min-resolution: 2dppx) and (max-width: 700px) 100vw, (-webkit-min-device-pixel-ratio: 2) and (max-width: 700px) 100vw, 700px"/><img alt="" class="bh mn or c" width="700" height="403" loading="lazy" role="presentation"/></picture></div></div></figure><blockquote class="os"><p id="5544" class="ot ou gz bf ov ow ox oy oz pa pb ob du">Image Source: <a class="af od" href="https://www.godoculus.at/virtual-reality/flyinside-flight-simulator-im-test/" rel="noopener ugc nofollow" target="_blank">FlyInside Flight Simulator: Der VR-Flugsimulator im Test</a></p></blockquote><p id="4955" class="pw-post-body-paragraph ng nh gz ni b ht qp nk nl hw qq nn no np qr nr ns nt qs nv nw nx qt nz oa ob gs bk"><strong class="ni ha">If the first-person vantage feels like stepping into a cockpit, the second-person vantage feels like sitting across the table from someone.</strong> Modern AI interfaces — ChatGPT, Slack bots, customer-support assistants — operate from this perspective. The premise is simple: you ask, they respond. It’s relational, often charmingly so. Language becomes the interface, and conversation the protocol.</p><figure class="oh oi oj ok ol om oe of paragraph-image"><div role="button" tabindex="0" class="on oo fj op bh oq"><div class="oe of rc"><picture><source srcSet="https://miro.medium.com/v2/resize:fit:640/format:webp/1*Exaub3ki_iKvgn_lbx9wBw@2x.jpeg 640w, https://miro.medium.com/v2/resize:fit:720/format:webp/1*Exaub3ki_iKvgn_lbx9wBw@2x.jpeg 720w, https://miro.medium.com/v2/resize:fit:750/format:webp/1*Exaub3ki_iKvgn_lbx9wBw@2x.jpeg 750w, https://miro.medium.com/v2/resize:fit:786/format:webp/1*Exaub3ki_iKvgn_lbx9wBw@2x.jpeg 786w, https://miro.medium.com/v2/resize:fit:828/format:webp/1*Exaub3ki_iKvgn_lbx9wBw@2x.jpeg 828w, https://miro.medium.com/v2/resize:fit:1100/format:webp/1*Exaub3ki_iKvgn_lbx9wBw@2x.jpeg 1100w, https://miro.medium.com/v2/resize:fit:1400/format:webp/1*Exaub3ki_iKvgn_lbx9wBw@2x.jpeg 1400w" sizes="(min-resolution: 4dppx) and (max-width: 700px) 50vw, (-webkit-min-device-pixel-ratio: 4) and (max-width: 700px) 50vw, (min-resolution: 3dppx) and (max-width: 700px) 67vw, (-webkit-min-device-pixel-ratio: 3) and (max-width: 700px) 65vw, (min-resolution: 2.5dppx) and (max-width: 700px) 80vw, (-webkit-min-device-pixel-ratio: 2.5) and (max-width: 700px) 80vw, (min-resolution: 2dppx) and (max-width: 700px) 100vw, (-webkit-min-device-pixel-ratio: 2) and (max-width: 700px) 100vw, 700px" type="image/webp"/><source data-testid="og" srcSet="https://miro.medium.com/v2/resize:fit:640/1*Exaub3ki_iKvgn_lbx9wBw@2x.jpeg 640w, https://miro.medium.com/v2/resize:fit:720/1*Exaub3ki_iKvgn_lbx9wBw@2x.jpeg 720w, https://miro.medium.com/v2/resize:fit:750/1*Exaub3ki_iKvgn_lbx9wBw@2x.jpeg 750w, https://miro.medium.com/v2/resize:fit:786/1*Exaub3ki_iKvgn_lbx9wBw@2x.jpeg 786w, https://miro.medium.com/v2/resize:fit:828/1*Exaub3ki_iKvgn_lbx9wBw@2x.jpeg 828w, https://miro.medium.com/v2/resize:fit:1100/1*Exaub3ki_iKvgn_lbx9wBw@2x.jpeg 1100w, https://miro.medium.com/v2/resize:fit:1400/1*Exaub3ki_iKvgn_lbx9wBw@2x.jpeg 1400w" sizes="(min-resolution: 4dppx) and (max-width: 700px) 50vw, (-webkit-min-device-pixel-ratio: 4) and (max-width: 700px) 50vw, (min-resolution: 3dppx) and (max-width: 700px) 67vw, (-webkit-min-device-pixel-ratio: 3) and (max-width: 700px) 65vw, (min-resolution: 2.5dppx) and (max-width: 700px) 80vw, (-webkit-min-device-pixel-ratio: 2.5) and (max-width: 700px) 80vw, (min-resolution: 2dppx) and (max-width: 700px) 100vw, (-webkit-min-device-pixel-ratio: 2) and (max-width: 700px) 100vw, 700px"/><img alt="" class="bh mn or c" width="700" height="350" loading="lazy" role="presentation"/></picture></div></div></figure><blockquote class="os"><p id="be60" class="ot ou gz bf ov ow ox oy oz pa pb ob du">Image Source: <a class="af od" href="https://www.thegamer.com/cyberpunk-2077-corpo-dialogue-options/" rel="noopener ugc nofollow" target="_blank">Cyberpunk 2077: Every Corpo Dialogue Option And Where You Can Choose It</a></p></blockquote><p id="8190" class="pw-post-body-paragraph ng nh gz ni b ht qp nk nl hw qq nn no np qr nr ns nt qs nv nw nx qt nz oa ob gs bk"><strong class="ni ha">This design works well when you’re dealing with one or two agents performing straightforward tasks.</strong> Slack channels feel natural when you’re checking in with your marketing team; ChatGPT excels at clarifying concepts in a single-threaded exchange. But multi-agent setups are straining this model to its limits.</p><p id="2f9b" class="pw-post-body-paragraph ng nh gz ni b ht nj nk nl hw nm nn no np nq nr ns nt nu nv nw nx ny nz oa ob gs bk"><strong class="ni ha">Imagine trying to coordinate twenty agents simultaneously this way </strong>— each tasked with different goals, each consuming shared resources. You open one chat window, then another. You track partial context across multiple threads, hoping to stitch together the big picture from fragmented conversations<em class="oc"> (that is me today, and yesterday as well… isn’t that something everyone does now? welcome to 2025!)</em></p><p id="bacb" class="pw-post-body-paragraph ng nh gz ni b ht nj nk nl hw nm nn no np nq nr ns nt nu nv nw nx ny nz oa ob gs bk">Conversations become parallel monologues; the simplicity of I ask, you answer breaks when scaled across agent societies.</p><figure class="oh oi oj ok ol om oe of paragraph-image"><div role="button" tabindex="0" class="on oo fj op bh oq"><div class="oe of qx"><picture><source srcSet="https://miro.medium.com/v2/resize:fit:640/format:webp/1*fouyK01K4lXZ-Jep8_BXLw@2x.jpeg 640w, https://miro.medium.com/v2/resize:fit:720/format:webp/1*fouyK01K4lXZ-Jep8_BXLw@2x.jpeg 720w, https://miro.medium.com/v2/resize:fit:750/format:webp/1*fouyK01K4lXZ-Jep8_BXLw@2x.jpeg 750w, https://miro.medium.com/v2/resize:fit:786/format:webp/1*fouyK01K4lXZ-Jep8_BXLw@2x.jpeg 786w, https://miro.medium.com/v2/resize:fit:828/format:webp/1*fouyK01K4lXZ-Jep8_BXLw@2x.jpeg 828w, https://miro.medium.com/v2/resize:fit:1100/format:webp/1*fouyK01K4lXZ-Jep8_BXLw@2x.jpeg 1100w, https://miro.medium.com/v2/resize:fit:1400/format:webp/1*fouyK01K4lXZ-Jep8_BXLw@2x.jpeg 1400w" sizes="(min-resolution: 4dppx) and (max-width: 700px) 50vw, (-webkit-min-device-pixel-ratio: 4) and (max-width: 700px) 50vw, (min-resolution: 3dppx) and (max-width: 700px) 67vw, (-webkit-min-device-pixel-ratio: 3) and (max-width: 700px) 65vw, (min-resolution: 2.5dppx) and (max-width: 700px) 80vw, (-webkit-min-device-pixel-ratio: 2.5) and (max-width: 700px) 80vw, (min-resolution: 2dppx) and (max-width: 700px) 100vw, (-webkit-min-device-pixel-ratio: 2) and (max-width: 700px) 100vw, 700px" type="image/webp"/><source data-testid="og" srcSet="https://miro.medium.com/v2/resize:fit:640/1*fouyK01K4lXZ-Jep8_BXLw@2x.jpeg 640w, https://miro.medium.com/v2/resize:fit:720/1*fouyK01K4lXZ-Jep8_BXLw@2x.jpeg 720w, https://miro.medium.com/v2/resize:fit:750/1*fouyK01K4lXZ-Jep8_BXLw@2x.jpeg 750w, https://miro.medium.com/v2/resize:fit:786/1*fouyK01K4lXZ-Jep8_BXLw@2x.jpeg 786w, https://miro.medium.com/v2/resize:fit:828/1*fouyK01K4lXZ-Jep8_BXLw@2x.jpeg 828w, https://miro.medium.com/v2/resize:fit:1100/1*fouyK01K4lXZ-Jep8_BXLw@2x.jpeg 1100w, https://miro.medium.com/v2/resize:fit:1400/1*fouyK01K4lXZ-Jep8_BXLw@2x.jpeg 1400w" sizes="(min-resolution: 4dppx) and (max-width: 700px) 50vw, (-webkit-min-device-pixel-ratio: 4) and (max-width: 700px) 50vw, (min-resolution: 3dppx) and (max-width: 700px) 67vw, (-webkit-min-device-pixel-ratio: 3) and (max-width: 700px) 65vw, (min-resolution: 2.5dppx) and (max-width: 700px) 80vw, (-webkit-min-device-pixel-ratio: 2.5) and (max-width: 700px) 80vw, (min-resolution: 2dppx) and (max-width: 700px) 100vw, (-webkit-min-device-pixel-ratio: 2) and (max-width: 700px) 100vw, 700px"/><img alt="" class="bh mn or c" width="700" height="378" loading="lazy" role="presentation"/></picture></div></div></figure><blockquote class="os"><p id="d99f" class="ot ou gz bf ov ow ox oy oz pa pb ob du">Image Source: <a class="af od" href="https://robots.net/tech/how-to-do-a-zoom-meeting-on-computer/" rel="noopener ugc nofollow" target="_blank">How To Do A Zoom Meeting On Computer </a>— Not a design pattern, please! I beg you!</p></blockquote><p id="9f5e" class="pw-post-body-paragraph ng nh gz ni b ht qp nk nl hw qq nn no np qr nr ns nt qs nv nw nx qt nz oa ob gs bk">That’s precisely the problem. The more agents we introduce, the more brittle our second-person interfaces become. We end up juggling multiple conversations like a full company meeting with unmuted microphones, or just another offsite — chaos ensued.</p><p id="1a4e" class="pw-post-body-paragraph ng nh gz ni b ht nj nk nl hw nm nn no np nq nr ns nt nu nv nw nx ny nz oa ob gs bk"><strong class="ni ha">The consequences aren’t just cognitive overload; they’re operational blind spots.</strong> Resources like compute tokens, API budgets, or task queues become invisible. Conflicts between agents (<em class="oc">and people</em>) surface only when something breaks. And as workflows stretch across dozens or even hundreds of specialized agents (<em class="oc">or people</em>), the conversational interface feels like staring at individual trees while the forest catches fire behind us.</p><p id="82e6" class="pw-post-body-paragraph ng nh gz ni b ht nj nk nl hw nm nn no np nq nr ns nt nu nv nw nx ny nz oa ob gs bk"><strong class="ni ha">Aren’t you feeling this interface friction too?</strong> Well, think bigger: we are hitting a vantage ceiling. The conversational interface, optimized for pairwise human-AI interaction (<em class="oc">and, well, people-to-people</em>), can’t scale into the systemic view these new workflows demand.</p><p id="38db" class="pw-post-body-paragraph ng nh gz ni b ht nj nk nl hw nm nn no np nq nr ns nt nu nv nw nx ny nz oa ob gs bk"><strong class="ni ha">We need a shift of perspective. </strong>Where first-person interfaces lock us into task-level immediacy and second-person designs emphasize interaction over oversight, what multi-agent systems demand is a vantage that can step back — a perspective that treats agents not as conversational counterparts but as dynamic, interdependent actors within a larger system.</p><figure class="oh oi oj ok ol om oe of paragraph-image"><div role="button" tabindex="0" class="on oo fj op bh oq"><div class="oe of og"><picture><source srcSet="https://miro.medium.com/v2/resize:fit:640/format:webp/1*oLQ4vOdNQuVEAa8elYEKMQ@2x.jpeg 640w, https://miro.medium.com/v2/resize:fit:720/format:webp/1*oLQ4vOdNQuVEAa8elYEKMQ@2x.jpeg 720w, https://miro.medium.com/v2/resize:fit:750/format:webp/1*oLQ4vOdNQuVEAa8elYEKMQ@2x.jpeg 750w, https://miro.medium.com/v2/resize:fit:786/format:webp/1*oLQ4vOdNQuVEAa8elYEKMQ@2x.jpeg 786w, https://miro.medium.com/v2/resize:fit:828/format:webp/1*oLQ4vOdNQuVEAa8elYEKMQ@2x.jpeg 828w, https://miro.medium.com/v2/resize:fit:1100/format:webp/1*oLQ4vOdNQuVEAa8elYEKMQ@2x.jpeg 1100w, https://miro.medium.com/v2/resize:fit:1400/format:webp/1*oLQ4vOdNQuVEAa8elYEKMQ@2x.jpeg 1400w" sizes="(min-resolution: 4dppx) and (max-width: 700px) 50vw, (-webkit-min-device-pixel-ratio: 4) and (max-width: 700px) 50vw, (min-resolution: 3dppx) and (max-width: 700px) 67vw, (-webkit-min-device-pixel-ratio: 3) and (max-width: 700px) 65vw, (min-resolution: 2.5dppx) and (max-width: 700px) 80vw, (-webkit-min-device-pixel-ratio: 2.5) and (max-width: 700px) 80vw, (min-resolution: 2dppx) and (max-width: 700px) 100vw, (-webkit-min-device-pixel-ratio: 2) and (max-width: 700px) 100vw, 700px" type="image/webp"/><source data-testid="og" srcSet="https://miro.medium.com/v2/resize:fit:640/1*oLQ4vOdNQuVEAa8elYEKMQ@2x.jpeg 640w, https://miro.medium.com/v2/resize:fit:720/1*oLQ4vOdNQuVEAa8elYEKMQ@2x.jpeg 720w, https://miro.medium.com/v2/resize:fit:750/1*oLQ4vOdNQuVEAa8elYEKMQ@2x.jpeg 750w, https://miro.medium.com/v2/resize:fit:786/1*oLQ4vOdNQuVEAa8elYEKMQ@2x.jpeg 786w, https://miro.medium.com/v2/resize:fit:828/1*oLQ4vOdNQuVEAa8elYEKMQ@2x.jpeg 828w, https://miro.medium.com/v2/resize:fit:1100/1*oLQ4vOdNQuVEAa8elYEKMQ@2x.jpeg 1100w, https://miro.medium.com/v2/resize:fit:1400/1*oLQ4vOdNQuVEAa8elYEKMQ@2x.jpeg 1400w" sizes="(min-resolution: 4dppx) and (max-width: 700px) 50vw, (-webkit-min-device-pixel-ratio: 4) and (max-width: 700px) 50vw, (min-resolution: 3dppx) and (max-width: 700px) 67vw, (-webkit-min-device-pixel-ratio: 3) and (max-width: 700px) 65vw, (min-resolution: 2.5dppx) and (max-width: 700px) 80vw, (-webkit-min-device-pixel-ratio: 2.5) and (max-width: 700px) 80vw, (min-resolution: 2dppx) and (max-width: 700px) 100vw, (-webkit-min-device-pixel-ratio: 2) and (max-width: 700px) 100vw, 700px"/><img alt="" class="bh mn or c" width="700" height="394" loading="lazy" role="presentation"/></picture></div></div></figure><blockquote class="os"><p id="6722" class="ot ou gz bf ov ow ox oy oz pa pb ob du">Image Source: <a class="af od" href="https://www.nexusmods.com/skyrimspecialedition/mods/15533?tab=images" rel="noopener ugc nofollow" target="_blank">3rd Person View During Alduin Attack on Helgen</a></p></blockquote><p id="f34e" class="pw-post-body-paragraph ng nh gz ni b ht qp nk nl hw qq nn no np qr nr ns nt qs nv nw nx qt nz oa ob gs bk">The first impulse is to try the third-person vantage — perhaps not as a standalone interface, but as a transitional lens that allows us to observe the networked behaviors and systemic flows these agents create. In this view, agents aren’t participants in dialogue; they’re nodes in a shifting topology, each contributing to an evolving landscape of goals, resources, and emergent patterns.</p><p id="e31f" class="pw-post-body-paragraph ng nh gz ni b ht nj nk nl hw nm nn no np nq nr ns nt nu nv nw nx ny nz oa ob gs bk">And from here, the progression to a top-down vantage becomes obvious. <strong class="ni ha">Observing agents from a distance isn’t enough; we need the ability to shape the conditions they operate within.</strong> Top-down interfaces don’t micro-manage — they orchestrate. They reveal flows of information, contention points in resource allocation, and systemic anomalies before they cascade into failures.</p><p id="a5bc" class="pw-post-body-paragraph ng nh gz ni b ht nj nk nl hw nm nn no np nq nr ns nt nu nv nw nx ny nz oa ob gs bk"><strong class="ni ha">It’s time to challenge ourselves: </strong>Let’s stop treating agents like conversational partners — and start seeing them as dynamic societies that need top-down oversight. It’s time to move beyond the conversational metaphor and embrace a vantage designed for concurrency, resource orchestration, and emergent behavior.</p><p id="c75e" class="pw-post-body-paragraph ng nh gz ni b ht nj nk nl hw nm nn no np nq nr ns nt nu nv nw nx ny nz oa ob gs bk">It’s time to view things from above.</p><figure class="oh oi oj ok ol om oe of paragraph-image"><div role="button" tabindex="0" class="on oo fj op bh oq"><div class="oe of rd"><picture><source srcSet="https://miro.medium.com/v2/resize:fit:640/format:webp/1*bY_eZF3JiQTLh105-yhRAw@2x.jpeg 640w, https://miro.medium.com/v2/resize:fit:720/format:webp/1*bY_eZF3JiQTLh105-yhRAw@2x.jpeg 720w, https://miro.medium.com/v2/resize:fit:750/format:webp/1*bY_eZF3JiQTLh105-yhRAw@2x.jpeg 750w, https://miro.medium.com/v2/resize:fit:786/format:webp/1*bY_eZF3JiQTLh105-yhRAw@2x.jpeg 786w, https://miro.medium.com/v2/resize:fit:828/format:webp/1*bY_eZF3JiQTLh105-yhRAw@2x.jpeg 828w, https://miro.medium.com/v2/resize:fit:1100/format:webp/1*bY_eZF3JiQTLh105-yhRAw@2x.jpeg 1100w, https://miro.medium.com/v2/resize:fit:1400/format:webp/1*bY_eZF3JiQTLh105-yhRAw@2x.jpeg 1400w" sizes="(min-resolution: 4dppx) and (max-width: 700px) 50vw, (-webkit-min-device-pixel-ratio: 4) and (max-width: 700px) 50vw, (min-resolution: 3dppx) and (max-width: 700px) 67vw, (-webkit-min-device-pixel-ratio: 3) and (max-width: 700px) 65vw, (min-resolution: 2.5dppx) and (max-width: 700px) 80vw, (-webkit-min-device-pixel-ratio: 2.5) and (max-width: 700px) 80vw, (min-resolution: 2dppx) and (max-width: 700px) 100vw, (-webkit-min-device-pixel-ratio: 2) and (max-width: 700px) 100vw, 700px" type="image/webp"/><source data-testid="og" srcSet="https://miro.medium.com/v2/resize:fit:640/1*bY_eZF3JiQTLh105-yhRAw@2x.jpeg 640w, https://miro.medium.com/v2/resize:fit:720/1*bY_eZF3JiQTLh105-yhRAw@2x.jpeg 720w, https://miro.medium.com/v2/resize:fit:750/1*bY_eZF3JiQTLh105-yhRAw@2x.jpeg 750w, https://miro.medium.com/v2/resize:fit:786/1*bY_eZF3JiQTLh105-yhRAw@2x.jpeg 786w, https://miro.medium.com/v2/resize:fit:828/1*bY_eZF3JiQTLh105-yhRAw@2x.jpeg 828w, https://miro.medium.com/v2/resize:fit:1100/1*bY_eZF3JiQTLh105-yhRAw@2x.jpeg 1100w, https://miro.medium.com/v2/resize:fit:1400/1*bY_eZF3JiQTLh105-yhRAw@2x.jpeg 1400w" sizes="(min-resolution: 4dppx) and (max-width: 700px) 50vw, (-webkit-min-device-pixel-ratio: 4) and (max-width: 700px) 50vw, (min-resolution: 3dppx) and (max-width: 700px) 67vw, (-webkit-min-device-pixel-ratio: 3) and (max-width: 700px) 65vw, (min-resolution: 2.5dppx) and (max-width: 700px) 80vw, (-webkit-min-device-pixel-ratio: 2.5) and (max-width: 700px) 80vw, (min-resolution: 2dppx) and (max-width: 700px) 100vw, (-webkit-min-device-pixel-ratio: 2) and (max-width: 700px) 100vw, 700px"/><img alt="" class="bh mn or c" width="700" height="394" loading="lazy" role="presentation"/></picture></div></div></figure><blockquote class="os"><p id="ff3b" class="ot ou gz bf ov ow ox oy oz pa pb ob du">Image Source: <a class="af od" href="https://pressakey.com/gameinfos,5155,screenshots,,,Age-of-Empires-IV,.html" rel="noopener ugc nofollow" target="_blank">Age of Empires IV — Screenshots & Artworks</a></p></blockquote><h1 id="69d0" class="pc pd gz bf pe pf pg hv ph pi pj hy pk pl pm pn po pp pq pr ps pt pu pv pw px bk">“God Mode”</h1><p id="1462" class="pw-post-body-paragraph ng nh gz ni b ht py nk nl hw pz nn no np qa nr ns nt qb nv nw nx qc nz oa ob gs bk">Unlike in <em class="oc">Skyrim</em>, in <em class="oc">Age of Empires</em> you don’t talk to each villager one-on-one, asking, “<em class="oc">Could you gather some wood, please?</em>” Instead, you zoom out, scanning the landscape. Resources shimmer in the corners of the map — wood, gold, stone, and food — while units scurry to complete tasks you’ve assigned. <strong class="ni ha">The game gives you a systemic view: you see bottlenecks in production, idle workers, and military clashes, all from a god’s-eye perspective.</strong></p><p id="fde6" class="pw-post-body-paragraph ng nh gz ni b ht nj nk nl hw nm nn no np nq nr ns nt nu nv nw nx ny nz oa ob gs bk">This is precisely the vantage we need for agentic AI. Managing twenty, fifty, or a hundred agents through chat threads is like trying to micromanage an empire through text messages. We don’t need more conversations; we need strategic oversight. The top-down vantage of games like <em class="oc">The Sims</em> or <em class="oc">Civilization</em> isn’t just entertaining — it’s a blueprint for orchestrating swarms of AI agents at scale.</p><p id="1518" class="pw-post-body-paragraph ng nh gz ni b ht nj nk nl hw nm nn no np nq nr ns nt nu nv nw nx ny nz oa ob gs bk">Perhaps this was always meant to be.</p><h2 id="f1df" class="re pd gz bf pe rf rg dy ph rh ri ea pk np rj rk rl nt rm rn ro nx rp rq rr rs bk">Analysis: The Cognitive Power of Overviews</h2><p id="4045" class="pw-post-body-paragraph ng nh gz ni b ht py nk nl hw pz nn no np qa nr ns nt qb nv nw nx qc nz oa ob gs bk">The success of third-person, god’s-eye UIs in strategy games isn’t accidental. These interfaces emerged to help players manage complexity by surfacing the right abstractions at the right time. In AI, the design logic is similar. Here’s why it works:</p><ul class=""><li id="ad7a" class="ng nh gz ni b ht nj nk nl hw nm nn no np nq nr ns nt nu nv nw nx ny nz oa ob qd qe qf bk"><strong class="ni ha">Resource Dashboards:</strong> In <a class="af od" href="https://en.wikipedia.org/wiki/Real-time_strategy" rel="noopener ugc nofollow" target="_blank">Real-Time Strategy (RTS)</a> games, you track lumber, gold, population capacity. In agentic AI, those same principles apply — just with different resources. Compute budgets, token usage, memory context, and perhaps even cryptoeconomic stakes become the new “<em class="oc">gold, lumber and stone</em>” of digital economies. A dashboard that visualizes these resources in real-time would provide the same clarity RTS players have used for decades.</li><li id="30e8" class="ng nh gz ni b ht qg nk nl hw qh nn no np qi nr ns nt qj nv nw nx qk nz oa ob qd qe qf bk"><strong class="ni ha">Agents as Units:</strong> Every agent in a multi-agent system can be represented as a “unit” with its own capabilities, tasks, and status indicators. Just as an RTS game differentiates between builders, soldiers, and scouts, an AI society includes specialized models for coding, research, or customer interactions. Assigning, tracking, and reallocating these agents becomes intuitive when they’re laid out spatially rather than buried in text logs.</li><li id="9af6" class="ng nh gz ni b ht qg nk nl hw qh nn no np qi nr ns nt qj nv nw nx qk nz oa ob qd qe qf bk"><strong class="ni ha">The Environment as a Map:</strong> RTS maps give players immediate spatial context: where resources lie, where units operate, and where conflicts brew. For AI, this environment can manifest as a knowledge graph, workflow diagram, or even the larger cryptocurrency ecosystem. Instead of manually piecing together relationships from chat threads, you see agents interacting across task networks and data domains — like watching trade routes form in Civilization.</li><li id="e792" class="ng nh gz ni b ht qg nk nl hw qh nn no np qi nr ns nt qj nv nw nx qk nz oa ob qd qe qf bk"><strong class="ni ha">Event Logs as Dynamic Notifications: </strong>RTS games keep players updated through event notifications: “<em class="oc">Enemy approaching from the west,</em>” “<em class="oc">Gold depleted.</em>” In agentic AI, this translates into intelligent alerts — “<em class="oc">Agent X exceeded token quota</em>” or “<em class="oc">Workflow Y stalled due to resource contention.</em>” The log becomes a live narrative of system activity, giving operators the information they need without overwhelming them with noise.</li></ul><figure class="oh oi oj ok ol om oe of paragraph-image"><div role="button" tabindex="0" class="on oo fj op bh oq"><div class="oe of rt"><picture><source srcSet="https://miro.medium.com/v2/resize:fit:640/format:webp/1*xqHgIi5xMD5o2eSUYQ-tuQ@2x.jpeg 640w, https://miro.medium.com/v2/resize:fit:720/format:webp/1*xqHgIi5xMD5o2eSUYQ-tuQ@2x.jpeg 720w, https://miro.medium.com/v2/resize:fit:750/format:webp/1*xqHgIi5xMD5o2eSUYQ-tuQ@2x.jpeg 750w, https://miro.medium.com/v2/resize:fit:786/format:webp/1*xqHgIi5xMD5o2eSUYQ-tuQ@2x.jpeg 786w, https://miro.medium.com/v2/resize:fit:828/format:webp/1*xqHgIi5xMD5o2eSUYQ-tuQ@2x.jpeg 828w, https://miro.medium.com/v2/resize:fit:1100/format:webp/1*xqHgIi5xMD5o2eSUYQ-tuQ@2x.jpeg 1100w, https://miro.medium.com/v2/resize:fit:1400/format:webp/1*xqHgIi5xMD5o2eSUYQ-tuQ@2x.jpeg 1400w" sizes="(min-resolution: 4dppx) and (max-width: 700px) 50vw, (-webkit-min-device-pixel-ratio: 4) and (max-width: 700px) 50vw, (min-resolution: 3dppx) and (max-width: 700px) 67vw, (-webkit-min-device-pixel-ratio: 3) and (max-width: 700px) 65vw, (min-resolution: 2.5dppx) and (max-width: 700px) 80vw, (-webkit-min-device-pixel-ratio: 2.5) and (max-width: 700px) 80vw, (min-resolution: 2dppx) and (max-width: 700px) 100vw, (-webkit-min-device-pixel-ratio: 2) and (max-width: 700px) 100vw, 700px" type="image/webp"/><source data-testid="og" srcSet="https://miro.medium.com/v2/resize:fit:640/1*xqHgIi5xMD5o2eSUYQ-tuQ@2x.jpeg 640w, https://miro.medium.com/v2/resize:fit:720/1*xqHgIi5xMD5o2eSUYQ-tuQ@2x.jpeg 720w, https://miro.medium.com/v2/resize:fit:750/1*xqHgIi5xMD5o2eSUYQ-tuQ@2x.jpeg 750w, https://miro.medium.com/v2/resize:fit:786/1*xqHgIi5xMD5o2eSUYQ-tuQ@2x.jpeg 786w, https://miro.medium.com/v2/resize:fit:828/1*xqHgIi5xMD5o2eSUYQ-tuQ@2x.jpeg 828w, https://miro.medium.com/v2/resize:fit:1100/1*xqHgIi5xMD5o2eSUYQ-tuQ@2x.jpeg 1100w, https://miro.medium.com/v2/resize:fit:1400/1*xqHgIi5xMD5o2eSUYQ-tuQ@2x.jpeg 1400w" sizes="(min-resolution: 4dppx) and (max-width: 700px) 50vw, (-webkit-min-device-pixel-ratio: 4) and (max-width: 700px) 50vw, (min-resolution: 3dppx) and (max-width: 700px) 67vw, (-webkit-min-device-pixel-ratio: 3) and (max-width: 700px) 65vw, (min-resolution: 2.5dppx) and (max-width: 700px) 80vw, (-webkit-min-device-pixel-ratio: 2.5) and (max-width: 700px) 80vw, (min-resolution: 2dppx) and (max-width: 700px) 100vw, (-webkit-min-device-pixel-ratio: 2) and (max-width: 700px) 100vw, 700px"/><img alt="" class="bh mn or c" width="700" height="517" loading="lazy" role="presentation"/></picture></div></div></figure><blockquote class="os"><p id="2805" class="ot ou gz bf ov ow ox oy oz pa pb ob du">Image Source: <a class="af od" href="https://www.goodfreephotos.com/italy/other-italy/leonardo-da-vinci-map-of-imola-1502.jpg.php" rel="noopener ugc nofollow" target="_blank">Leonardo da Vinci’s map of Imola, Italy in 1502</a></p></blockquote><h2 id="73be" class="re pd gz bf pe rf ru dy ph rh rv ea pk np rw rk rl nt rx rn ro nx ry rq rr rs bk">Analysis: Aerial Vantage as Cognitive Leverage</h2><p id="ae9b" class="pw-post-body-paragraph ng nh gz ni b ht py nk nl hw pz nn no np qa nr ns nt qb nv nw nx qc nz oa ob gs bk">This isn’t the first time humanity has had to rethink vantage to manage complexity. <strong class="ni ha">When Renaissance artists began painting cityscapes, they embraced aerial perspective to convey the vastness and interconnectedness of urban life.</strong> Da Vinci’s maps of Imola, drawn from a hypothetical bird’s-eye perspective, gave military planners strategic insight into roads, fortifications, and supply routes. Centuries later, aerial photography and satellite imagery revolutionized urban planning, logistics, and even geopolitics.</p><p id="9cde" class="pw-post-body-paragraph ng nh gz ni b ht nj nk nl hw nm nn no np nq nr ns nt nu nv nw nx ny nz oa ob gs bk">Now, we face a similar challenge in AI. <strong class="ni ha">Agentic systems operate more like emergent societies than static tools</strong>. To manage them effectively, we need to climb the metaphorical bell tower and see the system in full.</p><p id="9e40" class="pw-post-body-paragraph ng nh gz ni b ht nj nk nl hw nm nn no np nq nr ns nt nu nv nw nx ny nz oa ob gs bk">The third-person vantage offers precisely that cognitive elevation. It transforms agentic AI from a fragmented, conversation-driven maze into a navigable, interactive landscape. And just like <em class="oc">Masaccio’s</em> <em class="oc">perspective</em> grid or <em class="oc">Da Vinci’s aerial sketches</em>, it’s not merely a technical trick; it’s a conceptual shift in how we relate to machine intelligence.</p><p id="bb34" class="pw-post-body-paragraph ng nh gz ni b ht nj nk nl hw nm nn no np nq nr ns nt nu nv nw nx ny nz oa ob gs bk">From here, the path forward becomes clearer: Let’s start overseeing agents like systems architects, city planners — or, if you like, RTS commanders. <strong class="ni ha">Let’s use a vantage point that might really helps us understand and orchestrate intelligence as a collective phenomenon</strong> rather than a conversational partner.</p><figure class="oh oi oj ok ol om oe of paragraph-image"><div role="button" tabindex="0" class="on oo fj op bh oq"><div class="oe of qx"><picture><source srcSet="https://miro.medium.com/v2/resize:fit:640/format:webp/1*ojlHN_jDL-TxJYi-c7Ptxw@2x.jpeg 640w, https://miro.medium.com/v2/resize:fit:720/format:webp/1*ojlHN_jDL-TxJYi-c7Ptxw@2x.jpeg 720w, https://miro.medium.com/v2/resize:fit:750/format:webp/1*ojlHN_jDL-TxJYi-c7Ptxw@2x.jpeg 750w, https://miro.medium.com/v2/resize:fit:786/format:webp/1*ojlHN_jDL-TxJYi-c7Ptxw@2x.jpeg 786w, https://miro.medium.com/v2/resize:fit:828/format:webp/1*ojlHN_jDL-TxJYi-c7Ptxw@2x.jpeg 828w, https://miro.medium.com/v2/resize:fit:1100/format:webp/1*ojlHN_jDL-TxJYi-c7Ptxw@2x.jpeg 1100w, https://miro.medium.com/v2/resize:fit:1400/format:webp/1*ojlHN_jDL-TxJYi-c7Ptxw@2x.jpeg 1400w" sizes="(min-resolution: 4dppx) and (max-width: 700px) 50vw, (-webkit-min-device-pixel-ratio: 4) and (max-width: 700px) 50vw, (min-resolution: 3dppx) and (max-width: 700px) 67vw, (-webkit-min-device-pixel-ratio: 3) and (max-width: 700px) 65vw, (min-resolution: 2.5dppx) and (max-width: 700px) 80vw, (-webkit-min-device-pixel-ratio: 2.5) and (max-width: 700px) 80vw, (min-resolution: 2dppx) and (max-width: 700px) 100vw, (-webkit-min-device-pixel-ratio: 2) and (max-width: 700px) 100vw, 700px" type="image/webp"/><source data-testid="og" srcSet="https://miro.medium.com/v2/resize:fit:640/1*ojlHN_jDL-TxJYi-c7Ptxw@2x.jpeg 640w, https://miro.medium.com/v2/resize:fit:720/1*ojlHN_jDL-TxJYi-c7Ptxw@2x.jpeg 720w, https://miro.medium.com/v2/resize:fit:750/1*ojlHN_jDL-TxJYi-c7Ptxw@2x.jpeg 750w, https://miro.medium.com/v2/resize:fit:786/1*ojlHN_jDL-TxJYi-c7Ptxw@2x.jpeg 786w, https://miro.medium.com/v2/resize:fit:828/1*ojlHN_jDL-TxJYi-c7Ptxw@2x.jpeg 828w, https://miro.medium.com/v2/resize:fit:1100/1*ojlHN_jDL-TxJYi-c7Ptxw@2x.jpeg 1100w, https://miro.medium.com/v2/resize:fit:1400/1*ojlHN_jDL-TxJYi-c7Ptxw@2x.jpeg 1400w" sizes="(min-resolution: 4dppx) and (max-width: 700px) 50vw, (-webkit-min-device-pixel-ratio: 4) and (max-width: 700px) 50vw, (min-resolution: 3dppx) and (max-width: 700px) 67vw, (-webkit-min-device-pixel-ratio: 3) and (max-width: 700px) 65vw, (min-resolution: 2.5dppx) and (max-width: 700px) 80vw, (-webkit-min-device-pixel-ratio: 2.5) and (max-width: 700px) 80vw, (min-resolution: 2dppx) and (max-width: 700px) 100vw, (-webkit-min-device-pixel-ratio: 2) and (max-width: 700px) 100vw, 700px"/><img alt="" class="bh mn or c" width="700" height="424" loading="lazy" role="presentation"/></picture></div></div></figure><blockquote class="os"><p id="3c5b" class="ot ou gz bf ov ow ox oy oz pa pb ob du">Image Source: <a class="af od" href="http://fredrikhenriksson.blogspot.com/2011/12/starcraft-2-map-layout-and-new.html" rel="noopener ugc nofollow" target="_blank">Starcraft 2 map layout and a new portfolio</a></p></blockquote><h1 id="f99b" class="pc pd gz bf pe pf pg hv ph pi pj hy pk pl pm pn po pp pq pr ps pt pu pv pw px bk">Agentic User Interface Principles</h1><p id="5eb3" class="pw-post-body-paragraph ng nh gz ni b ht py nk nl hw pz nn no np qa nr ns nt qb nv nw nx qc nz oa ob gs bk">If we want to shift from conversational chaos to orchestrated clarity, the interface itself must evolve. What does that look like in practice? Think of the design patterns honed by decades of RTS and simulation games: map-based overviews, resource dashboards, event logs, and task queues.</p><p id="a78e" class="pw-post-body-paragraph ng nh gz ni b ht nj nk nl hw nm nn no np nq nr ns nt nu nv nw nx ny nz oa ob gs bk">Here are five core principles for designing a truly <em class="oc">Agentic User Interface (AUI)</em> — a framework that turns agent societies from conversational noise into coherent, navigable systems.</p><h2 id="a8c1" class="re pd gz bf pe rf rg dy ph rh ri ea pk np rj rk rl nt rm rn ro nx rp rq rr rs bk">1. Spatial or Map-Like Layout: Orient the Agents in Context</h2><p id="5f2e" class="pw-post-body-paragraph ng nh gz ni b ht py nk nl hw pz nn no np qa nr ns nt qb nv nw nx qc nz oa ob gs bk"><strong class="ni ha">Agents are inherently contextual entities. </strong>Each operates within a certain task domain — research, execution, monitoring — and often shares state with others. In <em class="oc">Agentic UI</em>, these agents should be visually “pinned” to relevant contexts on a spatial map.</p><p id="43ad" class="pw-post-body-paragraph ng nh gz ni b ht nj nk nl hw nm nn no np nq nr ns nt nu nv nw nx ny nz oa ob gs bk">Imagine a knowledge graph that doubles as a tactical map:</p><ul class=""><li id="8598" class="ng nh gz ni b ht nj nk nl hw nm nn no np nq nr ns nt nu nv nw nx ny nz oa ob qd qe qf bk">Agents working on customer support tasks cluster near CRM data nodes.</li><li id="af02" class="ng nh gz ni b ht qg nk nl hw qh nn no np qi nr ns nt qj nv nw nx qk nz oa ob qd qe qf bk">Research agents hover around data-collection hubs.</li><li id="4ae9" class="ng nh gz ni b ht qg nk nl hw qh nn no np qi nr ns nt qj nv nw nx qk nz oa ob qd qe qf bk">Executors stay anchored to active task pipelines.</li></ul><figure class="oh oi oj ok ol om oe of paragraph-image"><div role="button" tabindex="0" class="on oo fj op bh oq"><div class="oe of rz"><picture><source srcSet="https://miro.medium.com/v2/resize:fit:640/format:webp/1*rQnS_kWCAcM20zFzaZ9iRw@2x.jpeg 640w, https://miro.medium.com/v2/resize:fit:720/format:webp/1*rQnS_kWCAcM20zFzaZ9iRw@2x.jpeg 720w, https://miro.medium.com/v2/resize:fit:750/format:webp/1*rQnS_kWCAcM20zFzaZ9iRw@2x.jpeg 750w, https://miro.medium.com/v2/resize:fit:786/format:webp/1*rQnS_kWCAcM20zFzaZ9iRw@2x.jpeg 786w, https://miro.medium.com/v2/resize:fit:828/format:webp/1*rQnS_kWCAcM20zFzaZ9iRw@2x.jpeg 828w, https://miro.medium.com/v2/resize:fit:1100/format:webp/1*rQnS_kWCAcM20zFzaZ9iRw@2x.jpeg 1100w, https://miro.medium.com/v2/resize:fit:1400/format:webp/1*rQnS_kWCAcM20zFzaZ9iRw@2x.jpeg 1400w" sizes="(min-resolution: 4dppx) and (max-width: 700px) 50vw, (-webkit-min-device-pixel-ratio: 4) and (max-width: 700px) 50vw, (min-resolution: 3dppx) and (max-width: 700px) 67vw, (-webkit-min-device-pixel-ratio: 3) and (max-width: 700px) 65vw, (min-resolution: 2.5dppx) and (max-width: 700px) 80vw, (-webkit-min-device-pixel-ratio: 2.5) and (max-width: 700px) 80vw, (min-resolution: 2dppx) and (max-width: 700px) 100vw, (-webkit-min-device-pixel-ratio: 2) and (max-width: 700px) 100vw, 700px" type="image/webp"/><source data-testid="og" srcSet="https://miro.medium.com/v2/resize:fit:640/1*rQnS_kWCAcM20zFzaZ9iRw@2x.jpeg 640w, https://miro.medium.com/v2/resize:fit:720/1*rQnS_kWCAcM20zFzaZ9iRw@2x.jpeg 720w, https://miro.medium.com/v2/resize:fit:750/1*rQnS_kWCAcM20zFzaZ9iRw@2x.jpeg 750w, https://miro.medium.com/v2/resize:fit:786/1*rQnS_kWCAcM20zFzaZ9iRw@2x.jpeg 786w, https://miro.medium.com/v2/resize:fit:828/1*rQnS_kWCAcM20zFzaZ9iRw@2x.jpeg 828w, https://miro.medium.com/v2/resize:fit:1100/1*rQnS_kWCAcM20zFzaZ9iRw@2x.jpeg 1100w, https://miro.medium.com/v2/resize:fit:1400/1*rQnS_kWCAcM20zFzaZ9iRw@2x.jpeg 1400w" sizes="(min-resolution: 4dppx) and (max-width: 700px) 50vw, (-webkit-min-device-pixel-ratio: 4) and (max-width: 700px) 50vw, (min-resolution: 3dppx) and (max-width: 700px) 67vw, (-webkit-min-device-pixel-ratio: 3) and (max-width: 700px) 65vw, (min-resolution: 2.5dppx) and (max-width: 700px) 80vw, (-webkit-min-device-pixel-ratio: 2.5) and (max-width: 700px) 80vw, (min-resolution: 2dppx) and (max-width: 700px) 100vw, (-webkit-min-device-pixel-ratio: 2) and (max-width: 700px) 100vw, 700px"/><img alt="" class="bh mn or c" width="700" height="505" loading="lazy" role="presentation"/></picture></div></div></figure><blockquote class="os"><p id="7855" class="ot ou gz bf ov ow ox oy oz pa pb ob du">SVG source code <a class="af od" href="https://gist.github.com/sadasant/be7ab7aec36481e1cd7bed664b3c4daf#file-0_map-like-layout-svg" rel="noopener ugc nofollow" target="_blank">here</a>.</p></blockquote><p id="b1b3" class="pw-post-body-paragraph ng nh gz ni b ht qp nk nl hw qq nn no np qr nr ns nt qs nv nw nx qt nz oa ob gs bk">This layout provides an intuitive overview of agent distribution, operational hotspots, and neglected areas. It’s <em class="oc">The Sims</em>, but for intelligence orchestration.</p><h2 id="77a2" class="re pd gz bf pe rf rg dy ph rh ri ea pk np rj rk rl nt rm rn ro nx rp rq rr rs bk">2. Resource Management Panel: Track the Lifeblood of Agentic Economies</h2><p id="e113" class="pw-post-body-paragraph ng nh gz ni b ht py nk nl hw pz nn no np qa nr ns nt qb nv nw nx qc nz oa ob gs bk"><strong class="ni ha">Every agentic system runs on finite resources: </strong>tokens, compute cycles, context window real estate, and, in the nearby future of cryptoeconomic architectures, staked capital. Without visibility into these resources, agents can overconsume, stall, or fail silently.</p><p id="ee8e" class="pw-post-body-paragraph ng nh gz ni b ht nj nk nl hw nm nn no np nq nr ns nt nu nv nw nx ny nz oa ob gs bk">A resource panel should mirror the RTS tradition:</p><ul class=""><li id="9a19" class="ng nh gz ni b ht nj nk nl hw nm nn no np nq nr ns nt nu nv nw nx ny nz oa ob qd qe qf bk"><strong class="ni ha">Token usage:</strong> How many tokens have been consumed? What’s the projected burn rate?</li><li id="59a6" class="ng nh gz ni b ht qg nk nl hw qh nn no np qi nr ns nt qj nv nw nx qk nz oa ob qd qe qf bk"><strong class="ni ha">Compute distribution:</strong> Which agents are hogging GPU cycles?</li><li id="3142" class="ng nh gz ni b ht qg nk nl hw qh nn no np qi nr ns nt qj nv nw nx qk nz oa ob qd qe qf bk"><strong class="ni ha">Staked assets:</strong> If agents operate in cryptoeconomic environments, what assets have been pledged as collateral?</li></ul><figure class="oh oi oj ok ol om oe of paragraph-image"><div role="button" tabindex="0" class="on oo fj op bh oq"><div class="oe of sa"><picture><source srcSet="https://miro.medium.com/v2/resize:fit:640/format:webp/1*UnOu-cH-uA_lHscaU7KyqA@2x.jpeg 640w, https://miro.medium.com/v2/resize:fit:720/format:webp/1*UnOu-cH-uA_lHscaU7KyqA@2x.jpeg 720w, https://miro.medium.com/v2/resize:fit:750/format:webp/1*UnOu-cH-uA_lHscaU7KyqA@2x.jpeg 750w, https://miro.medium.com/v2/resize:fit:786/format:webp/1*UnOu-cH-uA_lHscaU7KyqA@2x.jpeg 786w, https://miro.medium.com/v2/resize:fit:828/format:webp/1*UnOu-cH-uA_lHscaU7KyqA@2x.jpeg 828w, https://miro.medium.com/v2/resize:fit:1100/format:webp/1*UnOu-cH-uA_lHscaU7KyqA@2x.jpeg 1100w, https://miro.medium.com/v2/resize:fit:1400/format:webp/1*UnOu-cH-uA_lHscaU7KyqA@2x.jpeg 1400w" sizes="(min-resolution: 4dppx) and (max-width: 700px) 50vw, (-webkit-min-device-pixel-ratio: 4) and (max-width: 700px) 50vw, (min-resolution: 3dppx) and (max-width: 700px) 67vw, (-webkit-min-device-pixel-ratio: 3) and (max-width: 700px) 65vw, (min-resolution: 2.5dppx) and (max-width: 700px) 80vw, (-webkit-min-device-pixel-ratio: 2.5) and (max-width: 700px) 80vw, (min-resolution: 2dppx) and (max-width: 700px) 100vw, (-webkit-min-device-pixel-ratio: 2) and (max-width: 700px) 100vw, 700px" type="image/webp"/><source data-testid="og" srcSet="https://miro.medium.com/v2/resize:fit:640/1*UnOu-cH-uA_lHscaU7KyqA@2x.jpeg 640w, https://miro.medium.com/v2/resize:fit:720/1*UnOu-cH-uA_lHscaU7KyqA@2x.jpeg 720w, https://miro.medium.com/v2/resize:fit:750/1*UnOu-cH-uA_lHscaU7KyqA@2x.jpeg 750w, https://miro.medium.com/v2/resize:fit:786/1*UnOu-cH-uA_lHscaU7KyqA@2x.jpeg 786w, https://miro.medium.com/v2/resize:fit:828/1*UnOu-cH-uA_lHscaU7KyqA@2x.jpeg 828w, https://miro.medium.com/v2/resize:fit:1100/1*UnOu-cH-uA_lHscaU7KyqA@2x.jpeg 1100w, https://miro.medium.com/v2/resize:fit:1400/1*UnOu-cH-uA_lHscaU7KyqA@2x.jpeg 1400w" sizes="(min-resolution: 4dppx) and (max-width: 700px) 50vw, (-webkit-min-device-pixel-ratio: 4) and (max-width: 700px) 50vw, (min-resolution: 3dppx) and (max-width: 700px) 67vw, (-webkit-min-device-pixel-ratio: 3) and (max-width: 700px) 65vw, (min-resolution: 2.5dppx) and (max-width: 700px) 80vw, (-webkit-min-device-pixel-ratio: 2.5) and (max-width: 700px) 80vw, (min-resolution: 2dppx) and (max-width: 700px) 100vw, (-webkit-min-device-pixel-ratio: 2) and (max-width: 700px) 100vw, 700px"/><img alt="" class="bh mn or c" width="700" height="509" loading="lazy" role="presentation"/></picture></div></div></figure><blockquote class="os"><p id="6550" class="ot ou gz bf ov ow ox oy oz pa pb ob du">SVG source code <a class="af od" href="https://gist.github.com/sadasant/be7ab7aec36481e1cd7bed664b3c4daf#file-1_resource-panel-svg" rel="noopener ugc nofollow" target="_blank">here</a>.</p></blockquote><p id="82e9" class="pw-post-body-paragraph ng nh gz ni b ht qp nk nl hw qq nn no np qr nr ns nt qs nv nw nx qt nz oa ob gs bk">This isn’t abstract bookkeeping. In agentic workflows, resource imbalances often signal strategic or operational misalignments. Surfacing this data early allows proactive intervention, much like spotting your gold supply dwindling in <em class="oc">Age of Empires</em> before the trebuchets stop firing.</p><h2 id="df6a" class="re pd gz bf pe rf rg dy ph rh ri ea pk np rj rk rl nt rm rn ro nx rp rq rr rs bk">3. Task Orchestration & Priority Queues: Command Centers for Cognitive Workflows</h2><p id="54c4" class="pw-post-body-paragraph ng nh gz ni b ht py nk nl hw pz nn no np qa nr ns nt qb nv nw nx qc nz oa ob gs bk"><strong class="ni ha">In an RTS game, players queue tasks:</strong> build a barracks, then train infantry, then research new tech. AI agents benefit from similar orchestration mechanisms, especially when tasks have dependencies or priority rules.</p><p id="c280" class="pw-post-body-paragraph ng nh gz ni b ht nj nk nl hw nm nn no np nq nr ns nt nu nv nw nx ny nz oa ob gs bk">A well-designed AUI should provide:</p><ul class=""><li id="f35c" class="ng nh gz ni b ht nj nk nl hw nm nn no np nq nr ns nt nu nv nw nx ny nz oa ob qd qe qf bk"><strong class="ni ha">Per-agent queues:</strong> Each agent displays its current task, queued tasks, and pending inputs.</li><li id="a050" class="ng nh gz ni b ht qg nk nl hw qh nn no np qi nr ns nt qj nv nw nx qk nz oa ob qd qe qf bk"><strong class="ni ha">Group-level orchestration: </strong>Agents working as a team (e.g., a “research pod”) share a unified queue with priority levels.</li><li id="d383" class="ng nh gz ni b ht qg nk nl hw qh nn no np qi nr ns nt qj nv nw nx qk nz oa ob qd qe qf bk"><strong class="ni ha">Dynamic reprioritization: </strong>Drag-and-drop adjustments to reallocate efforts based on real-time conditions.</li></ul><figure class="oh oi oj ok ol om oe of paragraph-image"><div role="button" tabindex="0" class="on oo fj op bh oq"><div class="oe of sb"><picture><source srcSet="https://miro.medium.com/v2/resize:fit:640/format:webp/1*PLjtLUilZaJO0gOXgZU5zw@2x.jpeg 640w, https://miro.medium.com/v2/resize:fit:720/format:webp/1*PLjtLUilZaJO0gOXgZU5zw@2x.jpeg 720w, https://miro.medium.com/v2/resize:fit:750/format:webp/1*PLjtLUilZaJO0gOXgZU5zw@2x.jpeg 750w, https://miro.medium.com/v2/resize:fit:786/format:webp/1*PLjtLUilZaJO0gOXgZU5zw@2x.jpeg 786w, https://miro.medium.com/v2/resize:fit:828/format:webp/1*PLjtLUilZaJO0gOXgZU5zw@2x.jpeg 828w, https://miro.medium.com/v2/resize:fit:1100/format:webp/1*PLjtLUilZaJO0gOXgZU5zw@2x.jpeg 1100w, https://miro.medium.com/v2/resize:fit:1400/format:webp/1*PLjtLUilZaJO0gOXgZU5zw@2x.jpeg 1400w" sizes="(min-resolution: 4dppx) and (max-width: 700px) 50vw, (-webkit-min-device-pixel-ratio: 4) and (max-width: 700px) 50vw, (min-resolution: 3dppx) and (max-width: 700px) 67vw, (-webkit-min-device-pixel-ratio: 3) and (max-width: 700px) 65vw, (min-resolution: 2.5dppx) and (max-width: 700px) 80vw, (-webkit-min-device-pixel-ratio: 2.5) and (max-width: 700px) 80vw, (min-resolution: 2dppx) and (max-width: 700px) 100vw, (-webkit-min-device-pixel-ratio: 2) and (max-width: 700px) 100vw, 700px" type="image/webp"/><source data-testid="og" srcSet="https://miro.medium.com/v2/resize:fit:640/1*PLjtLUilZaJO0gOXgZU5zw@2x.jpeg 640w, https://miro.medium.com/v2/resize:fit:720/1*PLjtLUilZaJO0gOXgZU5zw@2x.jpeg 720w, https://miro.medium.com/v2/resize:fit:750/1*PLjtLUilZaJO0gOXgZU5zw@2x.jpeg 750w, https://miro.medium.com/v2/resize:fit:786/1*PLjtLUilZaJO0gOXgZU5zw@2x.jpeg 786w, https://miro.medium.com/v2/resize:fit:828/1*PLjtLUilZaJO0gOXgZU5zw@2x.jpeg 828w, https://miro.medium.com/v2/resize:fit:1100/1*PLjtLUilZaJO0gOXgZU5zw@2x.jpeg 1100w, https://miro.medium.com/v2/resize:fit:1400/1*PLjtLUilZaJO0gOXgZU5zw@2x.jpeg 1400w" sizes="(min-resolution: 4dppx) and (max-width: 700px) 50vw, (-webkit-min-device-pixel-ratio: 4) and (max-width: 700px) 50vw, (min-resolution: 3dppx) and (max-width: 700px) 67vw, (-webkit-min-device-pixel-ratio: 3) and (max-width: 700px) 65vw, (min-resolution: 2.5dppx) and (max-width: 700px) 80vw, (-webkit-min-device-pixel-ratio: 2.5) and (max-width: 700px) 80vw, (min-resolution: 2dppx) and (max-width: 700px) 100vw, (-webkit-min-device-pixel-ratio: 2) and (max-width: 700px) 100vw, 700px"/><img alt="" class="bh mn or c" width="700" height="491" loading="lazy" role="presentation"/></picture></div></div></figure><blockquote class="os"><p id="c513" class="ot ou gz bf ov ow ox oy oz pa pb ob du">SVG source code <a class="af od" href="https://gist.github.com/sadasant/be7ab7aec36481e1cd7bed664b3c4daf#file-2_task-manager-svg" rel="noopener ugc nofollow" target="_blank">here</a>.</p></blockquote><p id="afaa" class="pw-post-body-paragraph ng nh gz ni b ht qp nk nl hw qq nn no np qr nr ns nt qs nv nw nx qt nz oa ob gs bk">Industrial assembly lines optimized production through <a class="af od" href="https://nextplus.io/lean-manufacturing/optimizing-assembly-line-efficiency-a-step-by-step-guide/" rel="noopener ugc nofollow" target="_blank">task sequencing</a>. Now, we apply that same logic to sequences of cognitive work across distributed agents. Without this, task management devolves into reactive prompt-spamming. Structured queues transform agent orchestration from guesswork into proactive planning.</p><h2 id="259b" class="re pd gz bf pe rf rg dy ph rh ri ea pk np rj rk rl nt rm rn ro nx rp rq rr rs bk">4. Event Log / Notification System: The Temporal Backbone of Agent Awareness</h2><p id="b8ea" class="pw-post-body-paragraph ng nh gz ni b ht py nk nl hw pz nn no np qa nr ns nt qb nv nw nx qc nz oa ob gs bk"><strong class="ni ha">In RTS games, the event log is a cognitive lifeline.</strong> “Your town center is under attack!” or “Gold mine depleted!” These alerts compress complex system changes into actionable insights.</p><p id="598a" class="pw-post-body-paragraph ng nh gz ni b ht nj nk nl hw nm nn no np nq nr ns nt nu nv nw nx ny nz oa ob gs bk">For agentic AI, event logging needs to go deeper:</p><ul class=""><li id="7a7c" class="ng nh gz ni b ht nj nk nl hw nm nn no np nq nr ns nt nu nv nw nx ny nz oa ob qd qe qf bk"><strong class="ni ha">Agent state changes:</strong> “<em class="oc">Agent X has completed task Y.</em>”</li><li id="2145" class="ng nh gz ni b ht qg nk nl hw qh nn no np qi nr ns nt qj nv nw nx qk nz oa ob qd qe qf bk"><strong class="ni ha">Performance anomalies:</strong> “<em class="oc">Agent Z exceeded token quota by 30%.</em>”</li><li id="cd14" class="ng nh gz ni b ht qg nk nl hw qh nn no np qi nr ns nt qj nv nw nx qk nz oa ob qd qe qf bk"><strong class="ni ha">Inter-agent interactions:</strong> “<em class="oc">Agent A invoked function from Agent B; awaiting response.</em>”</li></ul><figure class="oh oi oj ok ol om oe of paragraph-image"><div role="button" tabindex="0" class="on oo fj op bh oq"><div class="oe of sa"><picture><source srcSet="https://miro.medium.com/v2/resize:fit:640/format:webp/1*pzVbKkE6Rgo9WfvE720fyw@2x.jpeg 640w, https://miro.medium.com/v2/resize:fit:720/format:webp/1*pzVbKkE6Rgo9WfvE720fyw@2x.jpeg 720w, https://miro.medium.com/v2/resize:fit:750/format:webp/1*pzVbKkE6Rgo9WfvE720fyw@2x.jpeg 750w, https://miro.medium.com/v2/resize:fit:786/format:webp/1*pzVbKkE6Rgo9WfvE720fyw@2x.jpeg 786w, https://miro.medium.com/v2/resize:fit:828/format:webp/1*pzVbKkE6Rgo9WfvE720fyw@2x.jpeg 828w, https://miro.medium.com/v2/resize:fit:1100/format:webp/1*pzVbKkE6Rgo9WfvE720fyw@2x.jpeg 1100w, https://miro.medium.com/v2/resize:fit:1400/format:webp/1*pzVbKkE6Rgo9WfvE720fyw@2x.jpeg 1400w" sizes="(min-resolution: 4dppx) and (max-width: 700px) 50vw, (-webkit-min-device-pixel-ratio: 4) and (max-width: 700px) 50vw, (min-resolution: 3dppx) and (max-width: 700px) 67vw, (-webkit-min-device-pixel-ratio: 3) and (max-width: 700px) 65vw, (min-resolution: 2.5dppx) and (max-width: 700px) 80vw, (-webkit-min-device-pixel-ratio: 2.5) and (max-width: 700px) 80vw, (min-resolution: 2dppx) and (max-width: 700px) 100vw, (-webkit-min-device-pixel-ratio: 2) and (max-width: 700px) 100vw, 700px" type="image/webp"/><source data-testid="og" srcSet="https://miro.medium.com/v2/resize:fit:640/1*pzVbKkE6Rgo9WfvE720fyw@2x.jpeg 640w, https://miro.medium.com/v2/resize:fit:720/1*pzVbKkE6Rgo9WfvE720fyw@2x.jpeg 720w, https://miro.medium.com/v2/resize:fit:750/1*pzVbKkE6Rgo9WfvE720fyw@2x.jpeg 750w, https://miro.medium.com/v2/resize:fit:786/1*pzVbKkE6Rgo9WfvE720fyw@2x.jpeg 786w, https://miro.medium.com/v2/resize:fit:828/1*pzVbKkE6Rgo9WfvE720fyw@2x.jpeg 828w, https://miro.medium.com/v2/resize:fit:1100/1*pzVbKkE6Rgo9WfvE720fyw@2x.jpeg 1100w, https://miro.medium.com/v2/resize:fit:1400/1*pzVbKkE6Rgo9WfvE720fyw@2x.jpeg 1400w" sizes="(min-resolution: 4dppx) and (max-width: 700px) 50vw, (-webkit-min-device-pixel-ratio: 4) and (max-width: 700px) 50vw, (min-resolution: 3dppx) and (max-width: 700px) 67vw, (-webkit-min-device-pixel-ratio: 3) and (max-width: 700px) 65vw, (min-resolution: 2.5dppx) and (max-width: 700px) 80vw, (-webkit-min-device-pixel-ratio: 2.5) and (max-width: 700px) 80vw, (min-resolution: 2dppx) and (max-width: 700px) 100vw, (-webkit-min-device-pixel-ratio: 2) and (max-width: 700px) 100vw, 700px"/><img alt="" class="bh mn or c" width="700" height="515" loading="lazy" role="presentation"/></picture></div></div></figure><blockquote class="os"><p id="a6f2" class="ot ou gz bf ov ow ox oy oz pa pb ob du">SVG source code <a class="af od" href="https://gist.github.com/sadasant/be7ab7aec36481e1cd7bed664b3c4daf#file-3_event-logging-svg" rel="noopener ugc nofollow" target="_blank">here</a>.</p></blockquote><p id="fbb1" class="pw-post-body-paragraph ng nh gz ni b ht qp nk nl hw qq nn no np qr nr ns nt qs nv nw nx qt nz oa ob gs bk">Naval battle maps once used <a class="af od" href="https://seaforce.my/naval-communication-history/" rel="noopener ugc nofollow" target="_blank">flag signals</a> to communicate fleet movements. Event logs serve the same purpose in AI: brief signals that prompt immediate action. The goal is to surface significant events without overwhelming users with noise. Filters and hierarchical categorization help operators separate routine agent chatter from critical interventions.</p><h2 id="26a5" class="re pd gz bf pe rf rg dy ph rh ri ea pk np rj rk rl nt rm rn ro nx rp rq rr rs bk">5. Conflict Resolution or Court Panel: Governance in Agentic Economies</h2><p id="f20c" class="pw-post-body-paragraph ng nh gz ni b ht py nk nl hw pz nn no np qa nr ns nt qb nv nw nx qc nz oa ob gs bk"><strong class="ni ha">As agent ecosystems grow, disputes become inevitable. </strong>Agents might disagree over task outcomes, cost allocations, or performance metrics — especially in decentralized environments with financial incentives. AUI design must incorporate mechanisms for transparent conflict resolution.</p><p id="2882" class="pw-post-body-paragraph ng nh gz ni b ht nj nk nl hw nm nn no np nq nr ns nt nu nv nw nx ny nz oa ob gs bk">Key features:</p><ul class=""><li id="5f4d" class="ng nh gz ni b ht nj nk nl hw nm nn no np nq nr ns nt nu nv nw nx ny nz oa ob qd qe qf bk"><strong class="ni ha">Dispute flagging:</strong> When two agents produce contradictory results, the system highlights the discrepancy.</li><li id="586c" class="ng nh gz ni b ht qg nk nl hw qh nn no np qi nr ns nt qj nv nw nx qk nz oa ob qd qe qf bk"><strong class="ni ha">Cryptoeconomic courts:</strong> In blockchain-integrated setups, a panel of staked agents can adjudicate disputes.</li><li id="24e9" class="ng nh gz ni b ht qg nk nl hw qh nn no np qi nr ns nt qj nv nw nx qk nz oa ob qd qe qf bk"><strong class="ni ha">Audit trails: </strong>Every decision is logged with cryptographic signatures to maintain trust.</li></ul><figure class="oh oi oj ok ol om oe of paragraph-image"><div role="button" tabindex="0" class="on oo fj op bh oq"><div class="oe of sc"><picture><source srcSet="https://miro.medium.com/v2/resize:fit:640/format:webp/1*ANRbk59G476isZaAc4cQUw@2x.jpeg 640w, https://miro.medium.com/v2/resize:fit:720/format:webp/1*ANRbk59G476isZaAc4cQUw@2x.jpeg 720w, https://miro.medium.com/v2/resize:fit:750/format:webp/1*ANRbk59G476isZaAc4cQUw@2x.jpeg 750w, https://miro.medium.com/v2/resize:fit:786/format:webp/1*ANRbk59G476isZaAc4cQUw@2x.jpeg 786w, https://miro.medium.com/v2/resize:fit:828/format:webp/1*ANRbk59G476isZaAc4cQUw@2x.jpeg 828w, https://miro.medium.com/v2/resize:fit:1100/format:webp/1*ANRbk59G476isZaAc4cQUw@2x.jpeg 1100w, https://miro.medium.com/v2/resize:fit:1400/format:webp/1*ANRbk59G476isZaAc4cQUw@2x.jpeg 1400w" sizes="(min-resolution: 4dppx) and (max-width: 700px) 50vw, (-webkit-min-device-pixel-ratio: 4) and (max-width: 700px) 50vw, (min-resolution: 3dppx) and (max-width: 700px) 67vw, (-webkit-min-device-pixel-ratio: 3) and (max-width: 700px) 65vw, (min-resolution: 2.5dppx) and (max-width: 700px) 80vw, (-webkit-min-device-pixel-ratio: 2.5) and (max-width: 700px) 80vw, (min-resolution: 2dppx) and (max-width: 700px) 100vw, (-webkit-min-device-pixel-ratio: 2) and (max-width: 700px) 100vw, 700px" type="image/webp"/><source data-testid="og" srcSet="https://miro.medium.com/v2/resize:fit:640/1*ANRbk59G476isZaAc4cQUw@2x.jpeg 640w, https://miro.medium.com/v2/resize:fit:720/1*ANRbk59G476isZaAc4cQUw@2x.jpeg 720w, https://miro.medium.com/v2/resize:fit:750/1*ANRbk59G476isZaAc4cQUw@2x.jpeg 750w, https://miro.medium.com/v2/resize:fit:786/1*ANRbk59G476isZaAc4cQUw@2x.jpeg 786w, https://miro.medium.com/v2/resize:fit:828/1*ANRbk59G476isZaAc4cQUw@2x.jpeg 828w, https://miro.medium.com/v2/resize:fit:1100/1*ANRbk59G476isZaAc4cQUw@2x.jpeg 1100w, https://miro.medium.com/v2/resize:fit:1400/1*ANRbk59G476isZaAc4cQUw@2x.jpeg 1400w" sizes="(min-resolution: 4dppx) and (max-width: 700px) 50vw, (-webkit-min-device-pixel-ratio: 4) and (max-width: 700px) 50vw, (min-resolution: 3dppx) and (max-width: 700px) 67vw, (-webkit-min-device-pixel-ratio: 3) and (max-width: 700px) 65vw, (min-resolution: 2.5dppx) and (max-width: 700px) 80vw, (-webkit-min-device-pixel-ratio: 2.5) and (max-width: 700px) 80vw, (min-resolution: 2dppx) and (max-width: 700px) 100vw, (-webkit-min-device-pixel-ratio: 2) and (max-width: 700px) 100vw, 700px"/><img alt="" class="bh mn or c" width="700" height="555" loading="lazy" role="presentation"/></picture></div></div></figure><blockquote class="os"><p id="e3fd" class="ot ou gz bf ov ow ox oy oz pa pb ob du">SVG source code <a class="af od" href="https://gist.github.com/sadasant/be7ab7aec36481e1cd7bed664b3c4daf#file-4_court-panel-svg" rel="noopener ugc nofollow" target="_blank">here</a>.</p></blockquote><p id="ff96" class="pw-post-body-paragraph ng nh gz ni b ht qp nk nl hw qq nn no np qr nr ns nt qs nv nw nx qt nz oa ob gs bk">From <a class="af od" href="https://en.wikipedia.org/wiki/Solon" rel="noopener ugc nofollow" target="_blank">Solon’s reforms</a> in ancient Athens to modern arbitration courts, scalable systems have always required transparent, rule-based conflict resolution. Agentic ecosystems will need the same. This isn’t just a technical necessity; it’s a design shift from deterministic algorithms to adaptive, self-governing agent societies.</p><h2 id="9440" class="re pd gz bf pe rf rg dy ph rh ri ea pk np rj rk rl nt rm rn ro nx rp rq rr rs bk">The Blueprint for Vantage-Driven Intelligence</h2><p id="af34" class="pw-post-body-paragraph ng nh gz ni b ht py nk nl hw pz nn no np qa nr ns nt qb nv nw nx qc nz oa ob gs bk"><strong class="ni ha">These five principles should be considered as part of a broader shift from conversational AI toward agentic intelligence.</strong> The first-person interface gave us direct control, the second-person interface gave us relatable dialogue, but the third-person top-down interface will give us systemic insight — By adopting spatial layouts, resource dashboards, task queues, event logs, and governance panels, we stop wrangling agents through chat threads and start managing them like living, dynamic systems.</p><p id="dece" class="pw-post-body-paragraph ng nh gz ni b ht nj nk nl hw nm nn no np nq nr ns nt nu nv nw nx ny nz oa ob gs bk">After all, if you wouldn’t manage an empire through a dozen open messenger apps, why try to manage AI societies that way? The <em class="oc">god’s-eye view</em> might be the natural vantage for orchestrating intelligence at scale.</p><h1 id="a069" class="pc pd gz bf pe pf pg hv ph pi pj hy pk pl ql pn po pp qm pr ps pt qn pv pw px bk">Cryptoeconomic Considerations</h1><p id="c48b" class="pw-post-body-paragraph ng nh gz ni b ht py nk nl hw pz nn no np qa nr ns nt qb nv nw nx qc nz oa ob gs bk"><strong class="ni ha">Multi-agent systems, when scaled, will become miniature economies of computational labor.</strong> Agents request resources, execute tasks, produce outputs, and sometimes even collaborate or compete with each other. <strong class="ni ha">This complexity demands more than conversation logs and dashboards; it requires cryptoeconomic principles</strong> — like stake-based accountability and transparent function orchestration — to maintain trust and efficiency. The god’s-eye vantage can bridge between interface intuition and cryptoeconomic rigor.</p><p id="ec3f" class="pw-post-body-paragraph ng nh gz ni b ht nj nk nl hw nm nn no np nq nr ns nt nu nv nw nx ny nz oa ob gs bk">If we take a moment to ponder on how this future might look, it might reveal to us some insightful considerations.</p><h2 id="c97d" class="re pd gz bf pe rf rg dy ph rh ri ea pk np rj rk rl nt rm rn ro nx rp rq rr rs bk">Revelation 1: Zero-Knowledge Courts as Verifiable Truth in a World of Autonomous Actors</h2><p id="3f20" class="pw-post-body-paragraph ng nh gz ni b ht py nk nl hw pz nn no np qa nr ns nt qb nv nw nx qc nz oa ob gs bk">In multi-agent ecosystems, bad actors or malfunctioning agents aren’t just theoretical risks. Misreporting data, claiming false task completion, or exceeding resource quotas can disrupt workflows and waste resources. Traditional oversight requires exhaustive audits; cryptoeconomic protocols solve this with verifiable proofs.</p><p id="a4af" class="pw-post-body-paragraph ng nh gz ni b ht nj nk nl hw nm nn no np nq nr ns nt nu nv nw nx ny nz oa ob gs bk">Imagine clicking on the “Court Panel” in the AUI. Here’s what you’d see:</p><ul class=""><li id="5d5a" class="ng nh gz ni b ht nj nk nl hw nm nn no np nq nr ns nt nu nv nw nx ny nz oa ob qd qe qf bk"><strong class="ni ha">Suspicious Agent Detected:</strong> An agent claims to have extracted 1,000 data points from a source but provides no proof.</li><li id="f169" class="ng nh gz ni b ht qg nk nl hw qh nn no np qi nr ns nt qj nv nw nx qk nz oa ob qd qe qf bk"><strong class="ni ha">Zero-Knowledge Proof Display:</strong> The system presents a zk-proof of the agent’s task execution without revealing raw data, preserving privacy while confirming integrity.</li><li id="4820" class="ng nh gz ni b ht qg nk nl hw qh nn no np qi nr ns nt qj nv nw nx qk nz oa ob qd qe qf bk"><strong class="ni ha">Stake-Slashing Interface: </strong>If the agent’s claim is proven false, its staked tokens are partially slashed as a penalty. The event log records the dispute resolution for future reference.</li></ul><figure class="oh oi oj ok ol om oe of paragraph-image"><div role="button" tabindex="0" class="on oo fj op bh oq"><div class="oe of sd"><picture><source srcSet="https://miro.medium.com/v2/resize:fit:640/format:webp/1*kt9yXg4d5pJk_vpdaLYFjw@2x.jpeg 640w, https://miro.medium.com/v2/resize:fit:720/format:webp/1*kt9yXg4d5pJk_vpdaLYFjw@2x.jpeg 720w, https://miro.medium.com/v2/resize:fit:750/format:webp/1*kt9yXg4d5pJk_vpdaLYFjw@2x.jpeg 750w, https://miro.medium.com/v2/resize:fit:786/format:webp/1*kt9yXg4d5pJk_vpdaLYFjw@2x.jpeg 786w, https://miro.medium.com/v2/resize:fit:828/format:webp/1*kt9yXg4d5pJk_vpdaLYFjw@2x.jpeg 828w, https://miro.medium.com/v2/resize:fit:1100/format:webp/1*kt9yXg4d5pJk_vpdaLYFjw@2x.jpeg 1100w, https://miro.medium.com/v2/resize:fit:1400/format:webp/1*kt9yXg4d5pJk_vpdaLYFjw@2x.jpeg 1400w" sizes="(min-resolution: 4dppx) and (max-width: 700px) 50vw, (-webkit-min-device-pixel-ratio: 4) and (max-width: 700px) 50vw, (min-resolution: 3dppx) and (max-width: 700px) 67vw, (-webkit-min-device-pixel-ratio: 3) and (max-width: 700px) 65vw, (min-resolution: 2.5dppx) and (max-width: 700px) 80vw, (-webkit-min-device-pixel-ratio: 2.5) and (max-width: 700px) 80vw, (min-resolution: 2dppx) and (max-width: 700px) 100vw, (-webkit-min-device-pixel-ratio: 2) and (max-width: 700px) 100vw, 700px" type="image/webp"/><source data-testid="og" srcSet="https://miro.medium.com/v2/resize:fit:640/1*kt9yXg4d5pJk_vpdaLYFjw@2x.jpeg 640w, https://miro.medium.com/v2/resize:fit:720/1*kt9yXg4d5pJk_vpdaLYFjw@2x.jpeg 720w, https://miro.medium.com/v2/resize:fit:750/1*kt9yXg4d5pJk_vpdaLYFjw@2x.jpeg 750w, https://miro.medium.com/v2/resize:fit:786/1*kt9yXg4d5pJk_vpdaLYFjw@2x.jpeg 786w, https://miro.medium.com/v2/resize:fit:828/1*kt9yXg4d5pJk_vpdaLYFjw@2x.jpeg 828w, https://miro.medium.com/v2/resize:fit:1100/1*kt9yXg4d5pJk_vpdaLYFjw@2x.jpeg 1100w, https://miro.medium.com/v2/resize:fit:1400/1*kt9yXg4d5pJk_vpdaLYFjw@2x.jpeg 1400w" sizes="(min-resolution: 4dppx) and (max-width: 700px) 50vw, (-webkit-min-device-pixel-ratio: 4) and (max-width: 700px) 50vw, (min-resolution: 3dppx) and (max-width: 700px) 67vw, (-webkit-min-device-pixel-ratio: 3) and (max-width: 700px) 65vw, (min-resolution: 2.5dppx) and (max-width: 700px) 80vw, (-webkit-min-device-pixel-ratio: 2.5) and (max-width: 700px) 80vw, (min-resolution: 2dppx) and (max-width: 700px) 100vw, (-webkit-min-device-pixel-ratio: 2) and (max-width: 700px) 100vw, 700px"/><img alt="" class="bh mn or c" width="700" height="591" loading="lazy" role="presentation"/></picture></div></div></figure><blockquote class="os"><p id="6e00" class="ot ou gz bf ov ow ox oy oz pa pb ob du">SVG source code <a class="af od" href="https://gist.github.com/sadasant/be7ab7aec36481e1cd7bed664b3c4daf#file-5-court-panel-2-svg" rel="noopener ugc nofollow" target="_blank">here</a>.</p></blockquote><p id="5d83" class="pw-post-body-paragraph ng nh gz ni b ht qp nk nl hw qq nn no np qr nr ns nt qs nv nw nx qt nz oa ob gs bk">This mechanism mirrors the function of blockchain-based decentralized courts like <a class="af od" href="https://kleros.io" rel="noopener ugc nofollow" target="_blank">Kleros</a>, but with the clarity of a game-like dashboard. Operators wouldn’t need to sift through cryptographic hashes; they could see a transparent case file, a verdict, and a consequence.</p><p id="7ee2" class="pw-post-body-paragraph ng nh gz ni b ht nj nk nl hw nm nn no np nq nr ns nt nu nv nw nx ny nz oa ob gs bk"><strong class="ni ha">Why it matters: </strong>In open systems, agents might belong to external parties who profit from misinformation or resource overuse. Cryptoeconomic courts, surfaced through a clear, top-down interface, create a self-regulating environment where agents must prove their actions, not just claim them.</p><h2 id="7daf" class="re pd gz bf pe rf rg dy ph rh ri ea pk np rj rk rl nt rm rn ro nx rp rq rr rs bk">Revelation 2: Function-Calling as Strategic Orchestration</h2><p id="6a51" class="pw-post-body-paragraph ng nh gz ni b ht py nk nl hw pz nn no np qa nr ns nt qb nv nw nx qc nz oa ob gs bk">Today, interacting with a function-calling AI often falls back from intelligent extrapolation to plainly giving verbal instructions to a single assistant: “<em class="oc">Hey, call this API, then run this analysis.</em>” While convenient for one-off tasks, this approach falters when tasks become interdependent or span multiple agents.</p><p id="1ff0" class="pw-post-body-paragraph ng nh gz ni b ht nj nk nl hw nm nn no np nq nr ns nt nu nv nw nx ny nz oa ob gs bk">The third-person vantage changes that. Instead of typing prompts in a chat window, users could see function calls as interactive nodes on a workflow graph. Picture something like an RTS build queue or a kanban board for agentic reasoning:</p><ul class=""><li id="e05c" class="ng nh gz ni b ht nj nk nl hw nm nn no np nq nr ns nt nu nv nw nx ny nz oa ob qd qe qf bk"><strong class="ni ha">Nodes as Functions:</strong> Each node represents a discrete function call — querying a database, summarizing a document, generating code.</li><li id="be89" class="ng nh gz ni b ht qg nk nl hw qh nn no np qi nr ns nt qj nv nw nx qk nz oa ob qd qe qf bk"><strong class="ni ha">Edges as Dependencies: </strong>Arrows show how outputs from one function feed into another, turning abstract call sequences into visual pipelines.</li><li id="9405" class="ng nh gz ni b ht qg nk nl hw qh nn no np qi nr ns nt qj nv nw nx qk nz oa ob qd qe qf bk"><strong class="ni ha">Parallel Execution:</strong> Just as an RTS game lets you command workers to build, gather, and scout simultaneously, the interface shows concurrent function calls in action — no more guessing what’s happening in the background.</li></ul><figure class="oh oi oj ok ol om oe of paragraph-image"><div role="button" tabindex="0" class="on oo fj op bh oq"><div class="oe of se"><picture><source srcSet="https://miro.medium.com/v2/resize:fit:640/format:webp/1*Pgd3fH6CZCoCeyQoP8ZIWQ@2x.jpeg 640w, https://miro.medium.com/v2/resize:fit:720/format:webp/1*Pgd3fH6CZCoCeyQoP8ZIWQ@2x.jpeg 720w, https://miro.medium.com/v2/resize:fit:750/format:webp/1*Pgd3fH6CZCoCeyQoP8ZIWQ@2x.jpeg 750w, https://miro.medium.com/v2/resize:fit:786/format:webp/1*Pgd3fH6CZCoCeyQoP8ZIWQ@2x.jpeg 786w, https://miro.medium.com/v2/resize:fit:828/format:webp/1*Pgd3fH6CZCoCeyQoP8ZIWQ@2x.jpeg 828w, https://miro.medium.com/v2/resize:fit:1100/format:webp/1*Pgd3fH6CZCoCeyQoP8ZIWQ@2x.jpeg 1100w, https://miro.medium.com/v2/resize:fit:1400/format:webp/1*Pgd3fH6CZCoCeyQoP8ZIWQ@2x.jpeg 1400w" sizes="(min-resolution: 4dppx) and (max-width: 700px) 50vw, (-webkit-min-device-pixel-ratio: 4) and (max-width: 700px) 50vw, (min-resolution: 3dppx) and (max-width: 700px) 67vw, (-webkit-min-device-pixel-ratio: 3) and (max-width: 700px) 65vw, (min-resolution: 2.5dppx) and (max-width: 700px) 80vw, (-webkit-min-device-pixel-ratio: 2.5) and (max-width: 700px) 80vw, (min-resolution: 2dppx) and (max-width: 700px) 100vw, (-webkit-min-device-pixel-ratio: 2) and (max-width: 700px) 100vw, 700px" type="image/webp"/><source data-testid="og" srcSet="https://miro.medium.com/v2/resize:fit:640/1*Pgd3fH6CZCoCeyQoP8ZIWQ@2x.jpeg 640w, https://miro.medium.com/v2/resize:fit:720/1*Pgd3fH6CZCoCeyQoP8ZIWQ@2x.jpeg 720w, https://miro.medium.com/v2/resize:fit:750/1*Pgd3fH6CZCoCeyQoP8ZIWQ@2x.jpeg 750w, https://miro.medium.com/v2/resize:fit:786/1*Pgd3fH6CZCoCeyQoP8ZIWQ@2x.jpeg 786w, https://miro.medium.com/v2/resize:fit:828/1*Pgd3fH6CZCoCeyQoP8ZIWQ@2x.jpeg 828w, https://miro.medium.com/v2/resize:fit:1100/1*Pgd3fH6CZCoCeyQoP8ZIWQ@2x.jpeg 1100w, https://miro.medium.com/v2/resize:fit:1400/1*Pgd3fH6CZCoCeyQoP8ZIWQ@2x.jpeg 1400w" sizes="(min-resolution: 4dppx) and (max-width: 700px) 50vw, (-webkit-min-device-pixel-ratio: 4) and (max-width: 700px) 50vw, (min-resolution: 3dppx) and (max-width: 700px) 67vw, (-webkit-min-device-pixel-ratio: 3) and (max-width: 700px) 65vw, (min-resolution: 2.5dppx) and (max-width: 700px) 80vw, (-webkit-min-device-pixel-ratio: 2.5) and (max-width: 700px) 80vw, (min-resolution: 2dppx) and (max-width: 700px) 100vw, (-webkit-min-device-pixel-ratio: 2) and (max-width: 700px) 100vw, 700px"/><img alt="" class="bh mn or c" width="700" height="591" loading="lazy" role="presentation"/></picture></div></div></figure><blockquote class="os"><p id="528b" class="ot ou gz bf ov ow ox oy oz pa pb ob du">SVG source code <a class="af od" href="https://gist.github.com/sadasant/be7ab7aec36481e1cd7bed664b3c4daf#file-6-function-workflow-svg" rel="noopener ugc nofollow" target="_blank">here</a>.</p></blockquote><p id="d5d2" class="pw-post-body-paragraph ng nh gz ni b ht qp nk nl hw qq nn no np qr nr ns nt qs nv nw nx qt nz oa ob gs bk">With this setup, the user moves from “conversing” about functions to commanding workflows. If something breaks, the AUI highlights the failing node and suggests corrective actions. If an agent goes rogue — say, spamming expensive function calls — it flags the event and, if necessary, refers the incident to the cryptoeconomic court.</p><p id="1a50" class="pw-post-body-paragraph ng nh gz ni b ht nj nk nl hw nm nn no np nq nr ns nt nu nv nw nx ny nz oa ob gs bk"><strong class="ni ha">Why it matters:</strong> Function orchestration is the operational core of multi-agent systems. AUI tools that treat function calls like task units would allow users to understand and adjust complex workflows intuitively. It’s the difference between describing a task to someone over the phone and supervising a task force in real-time from a command center.</p><h2 id="30f1" class="re pd gz bf pe rf rg dy ph rh ri ea pk np rj rk rl nt rm rn ro nx rp rq rr rs bk">Revelation 3: The Immediate Gains of Clarity, Concurrency, and Credibility</h2><p id="9826" class="pw-post-body-paragraph ng nh gz ni b ht py nk nl hw pz nn no np qa nr ns nt qb nv nw nx qc nz oa ob gs bk">The immediate benefit of this vantage shift is operational clarity. Multi-agent workflows often feel like black boxes: tasks vanish into the system, and results appear with little visibility into intermediate steps. The third-person, god’s-eye interface changes that dynamic. Concretely, it delivers:</p><ul class=""><li id="dc10" class="ng nh gz ni b ht nj nk nl hw nm nn no np nq nr ns nt nu nv nw nx ny nz oa ob qd qe qf bk"><strong class="ni ha">Reduced Complexity: </strong>Instead of juggling chat threads, operators track tasks, resources, and agent interactions from a single dashboard. Cognitive load drops as patterns emerge naturally from spatial layouts and workflow maps.</li><li id="a800" class="ng nh gz ni b ht qg nk nl hw qh nn no np qi nr ns nt qj nv nw nx qk nz oa ob qd qe qf bk"><strong class="ni ha">Concurrency by Default:</strong> Parallel processes, which feel abstract in conversational interfaces, become visualized in real-time. Users see which agents are idle, which tasks are blocked, and which workflows could be parallelized for efficiency.</li><li id="bd13" class="ng nh gz ni b ht qg nk nl hw qh nn no np qi nr ns nt qj nv nw nx qk nz oa ob qd qe qf bk"><strong class="ni ha">Proactive Resource Management:</strong> The resource panel reveals consumption patterns early — before tokens are depleted or compute quotas are breached.</li><li id="e01e" class="ng nh gz ni b ht qg nk nl hw qh nn no np qi nr ns nt qj nv nw nx qk nz oa ob qd qe qf bk"><strong class="ni ha">Transparent Agent Behavior: </strong>Cryptoeconomic courts and event logs document decisions and disputes, fostering trust in agentic actions. In environments like decentralized data marketplaces or on-chain AI labs, this visibility is crucial for maintaining reputation-based dynamics.</li></ul><figure class="oh oi oj ok ol om oe of paragraph-image"><div role="button" tabindex="0" class="on oo fj op bh oq"><div class="oe of sf"><picture><source srcSet="https://miro.medium.com/v2/resize:fit:640/format:webp/1*54Rn8vmWObsytrV-UZWJug@2x.jpeg 640w, https://miro.medium.com/v2/resize:fit:720/format:webp/1*54Rn8vmWObsytrV-UZWJug@2x.jpeg 720w, https://miro.medium.com/v2/resize:fit:750/format:webp/1*54Rn8vmWObsytrV-UZWJug@2x.jpeg 750w, https://miro.medium.com/v2/resize:fit:786/format:webp/1*54Rn8vmWObsytrV-UZWJug@2x.jpeg 786w, https://miro.medium.com/v2/resize:fit:828/format:webp/1*54Rn8vmWObsytrV-UZWJug@2x.jpeg 828w, https://miro.medium.com/v2/resize:fit:1100/format:webp/1*54Rn8vmWObsytrV-UZWJug@2x.jpeg 1100w, https://miro.medium.com/v2/resize:fit:1400/format:webp/1*54Rn8vmWObsytrV-UZWJug@2x.jpeg 1400w" sizes="(min-resolution: 4dppx) and (max-width: 700px) 50vw, (-webkit-min-device-pixel-ratio: 4) and (max-width: 700px) 50vw, (min-resolution: 3dppx) and (max-width: 700px) 67vw, (-webkit-min-device-pixel-ratio: 3) and (max-width: 700px) 65vw, (min-resolution: 2.5dppx) and (max-width: 700px) 80vw, (-webkit-min-device-pixel-ratio: 2.5) and (max-width: 700px) 80vw, (min-resolution: 2dppx) and (max-width: 700px) 100vw, (-webkit-min-device-pixel-ratio: 2) and (max-width: 700px) 100vw, 700px" type="image/webp"/><source data-testid="og" srcSet="https://miro.medium.com/v2/resize:fit:640/1*54Rn8vmWObsytrV-UZWJug@2x.jpeg 640w, https://miro.medium.com/v2/resize:fit:720/1*54Rn8vmWObsytrV-UZWJug@2x.jpeg 720w, https://miro.medium.com/v2/resize:fit:750/1*54Rn8vmWObsytrV-UZWJug@2x.jpeg 750w, https://miro.medium.com/v2/resize:fit:786/1*54Rn8vmWObsytrV-UZWJug@2x.jpeg 786w, https://miro.medium.com/v2/resize:fit:828/1*54Rn8vmWObsytrV-UZWJug@2x.jpeg 828w, https://miro.medium.com/v2/resize:fit:1100/1*54Rn8vmWObsytrV-UZWJug@2x.jpeg 1100w, https://miro.medium.com/v2/resize:fit:1400/1*54Rn8vmWObsytrV-UZWJug@2x.jpeg 1400w" sizes="(min-resolution: 4dppx) and (max-width: 700px) 50vw, (-webkit-min-device-pixel-ratio: 4) and (max-width: 700px) 50vw, (min-resolution: 3dppx) and (max-width: 700px) 67vw, (-webkit-min-device-pixel-ratio: 3) and (max-width: 700px) 65vw, (min-resolution: 2.5dppx) and (max-width: 700px) 80vw, (-webkit-min-device-pixel-ratio: 2.5) and (max-width: 700px) 80vw, (min-resolution: 2dppx) and (max-width: 700px) 100vw, (-webkit-min-device-pixel-ratio: 2) and (max-width: 700px) 100vw, 700px"/><img alt="" class="bh mn or c" width="700" height="610" loading="lazy" role="presentation"/></picture></div></div></figure><blockquote class="os"><p id="ad1e" class="ot ou gz bf ov ow ox oy oz pa pb ob du">SVG source code <a class="af od" href="https://gist.github.com/sadasant/be7ab7aec36481e1cd7bed664b3c4daf#file-7-overseer-svg" rel="noopener ugc nofollow" target="_blank">here</a>.</p></blockquote><p id="34c3" class="pw-post-body-paragraph ng nh gz ni b ht qp nk nl hw qq nn no np qr nr ns nt qs nv nw nx qt nz oa ob gs bk"><strong class="ni ha">Why it matters: </strong>Without systemic vantage, multi-agent systems would likely either stagnate from micromanagement or spiral into chaos from uncoordinated autonomy. By merging spatial views, resource tracking, and cryptoeconomic accountability, the AUI provides not just oversight but systemic governance. <strong class="ni ha">AUI turns what could be a digital Tower of Babel into an intelligible, orchestrated society of agents.</strong></p><h2 id="ac90" class="re pd gz bf pe rf rg dy ph rh ri ea pk np rj rk rl nt rm rn ro nx rp rq rr rs bk">The Convergence of Vantage and Accountability</h2><p id="7919" class="pw-post-body-paragraph ng nh gz ni b ht py nk nl hw pz nn no np qa nr ns nt qb nv nw nx qc nz oa ob gs bk"><strong class="ni ha">The rise of agentic AI coincides with the maturation of cryptoeconomic protocols. </strong>Zero-knowledge proofs, stake-based penalties, and distributed courts provide the trust infrastructure; spatial dashboards, function maps, and task queues provide the cognitive infrastructure. Together, they form the foundation of the future orchestration of artificial intelligent societies.</p><p id="4d28" class="pw-post-body-paragraph ng nh gz ni b ht nj nk nl hw nm nn no np nq nr ns nt nu nv nw nx ny nz oa ob gs bk"><strong class="ni ha">Historically, societies evolved courts and maps in parallel to manage growing complexity. Now, as intelligence becomes multi-agent, we must do the same.</strong></p><p id="232c" class="pw-post-body-paragraph ng nh gz ni b ht nj nk nl hw nm nn no np nq nr ns nt nu nv nw nx ny nz oa ob gs bk"><strong class="ni ha">As an exercise in perepetive, transport yourself into the vantage of our satelites:</strong> click on the <a class="af od" href="https://www.youtube.com/live/OCem0E-0Q6Y" rel="noopener ugc nofollow" target="_blank">live streaming from the International Space Station</a> to grasp the extent at which we have morphed the surface of the Earth. Reflect on the fact that you can experience the world from multiple angles at once, any day at any time. Sooner than we might antifipate, the<strong class="ni ha"> </strong><em class="oc">god’s eye</em> interface might become the cognitive prosthetic we need to manifest agentic societies in practice, without losing clarity, control, or trust.</p><figure class="oh oi oj ok ol om oe of paragraph-image"><div role="button" tabindex="0" class="on oo fj op bh oq"><div class="oe of sg"><picture><source srcSet="https://miro.medium.com/v2/resize:fit:640/format:webp/1*8je7RAiq5urlRRvoHsxgMw@2x.jpeg 640w, https://miro.medium.com/v2/resize:fit:720/format:webp/1*8je7RAiq5urlRRvoHsxgMw@2x.jpeg 720w, https://miro.medium.com/v2/resize:fit:750/format:webp/1*8je7RAiq5urlRRvoHsxgMw@2x.jpeg 750w, https://miro.medium.com/v2/resize:fit:786/format:webp/1*8je7RAiq5urlRRvoHsxgMw@2x.jpeg 786w, https://miro.medium.com/v2/resize:fit:828/format:webp/1*8je7RAiq5urlRRvoHsxgMw@2x.jpeg 828w, https://miro.medium.com/v2/resize:fit:1100/format:webp/1*8je7RAiq5urlRRvoHsxgMw@2x.jpeg 1100w, https://miro.medium.com/v2/resize:fit:1400/format:webp/1*8je7RAiq5urlRRvoHsxgMw@2x.jpeg 1400w" sizes="(min-resolution: 4dppx) and (max-width: 700px) 50vw, (-webkit-min-device-pixel-ratio: 4) and (max-width: 700px) 50vw, (min-resolution: 3dppx) and (max-width: 700px) 67vw, (-webkit-min-device-pixel-ratio: 3) and (max-width: 700px) 65vw, (min-resolution: 2.5dppx) and (max-width: 700px) 80vw, (-webkit-min-device-pixel-ratio: 2.5) and (max-width: 700px) 80vw, (min-resolution: 2dppx) and (max-width: 700px) 100vw, (-webkit-min-device-pixel-ratio: 2) and (max-width: 700px) 100vw, 700px" type="image/webp"/><source data-testid="og" srcSet="https://miro.medium.com/v2/resize:fit:640/1*8je7RAiq5urlRRvoHsxgMw@2x.jpeg 640w, https://miro.medium.com/v2/resize:fit:720/1*8je7RAiq5urlRRvoHsxgMw@2x.jpeg 720w, https://miro.medium.com/v2/resize:fit:750/1*8je7RAiq5urlRRvoHsxgMw@2x.jpeg 750w, https://miro.medium.com/v2/resize:fit:786/1*8je7RAiq5urlRRvoHsxgMw@2x.jpeg 786w, https://miro.medium.com/v2/resize:fit:828/1*8je7RAiq5urlRRvoHsxgMw@2x.jpeg 828w, https://miro.medium.com/v2/resize:fit:1100/1*8je7RAiq5urlRRvoHsxgMw@2x.jpeg 1100w, https://miro.medium.com/v2/resize:fit:1400/1*8je7RAiq5urlRRvoHsxgMw@2x.jpeg 1400w" sizes="(min-resolution: 4dppx) and (max-width: 700px) 50vw, (-webkit-min-device-pixel-ratio: 4) and (max-width: 700px) 50vw, (min-resolution: 3dppx) and (max-width: 700px) 67vw, (-webkit-min-device-pixel-ratio: 3) and (max-width: 700px) 65vw, (min-resolution: 2.5dppx) and (max-width: 700px) 80vw, (-webkit-min-device-pixel-ratio: 2.5) and (max-width: 700px) 80vw, (min-resolution: 2dppx) and (max-width: 700px) 100vw, (-webkit-min-device-pixel-ratio: 2) and (max-width: 700px) 100vw, 700px"/><img alt="" class="bh mn or c" width="700" height="466" loading="lazy" role="presentation"/></picture></div></div></figure><blockquote class="os"><p id="50d2" class="ot ou gz bf ov ow ox oy oz pa pb ob du">Image Source: <a class="af od" href="https://www.space.com/14686-united-states-east-coast-cities-night-photo-space.html" rel="noopener ugc nofollow" target="_blank">Astronaut Catches Spectacular Night View of US Cities from Space</a></p></blockquote><h1 id="2ccf" class="pc pd gz bf pe pf pg hv ph pi pj hy pk pl pm pn po pp pq pr ps pt pu pv pw px bk">Conclusion: A Renaissance of Interface</h1><p id="f260" class="pw-post-body-paragraph ng nh gz ni b ht py nk nl hw pz nn no np qa nr ns nt qb nv nw nx qc nz oa ob gs bk">In art, perspective enabled new ways of understanding human presence within vast landscapes. <strong class="ni ha">In technology, perspective will enable us to grasp the emergent behaviors of artificial intelligent societies — fleets of specialized models collaborating across tasks, resources, and tangible stakes with real world effects.</strong> The age of chatting with solitary AIs is ending. We are not alone in the cyberspace anymore. The era of overseeing digital fleets of synthetic peers has just begun.</p><p id="4e85" class="pw-post-body-paragraph ng nh gz ni b ht nj nk nl hw nm nn no np nq nr ns nt nu nv nw nx ny nz oa ob gs bk"><strong class="ni ha">The challenge ahead is as thrilling as it is necessary.</strong> The tools we use today — chat threads, linear logs, fragmented dashboards — weren’t built for multi-agent concurrency. We need new design patterns that embrace third-person vantage: spatial layouts, task orchestration, live event streams, and cryptoeconomic governance panels.</p><p id="9e7b" class="pw-post-body-paragraph ng nh gz ni b ht nj nk nl hw nm nn no np nq nr ns nt nu nv nw nx ny nz oa ob gs bk">In a few years, we may sit in front of a single interface that shows an entire society of agents in motion: research agents synthesizing new findings, operational agents handling tasks across functions, dispute-resolution agents arbitrating conflicts via cryptoeconomic protocols. We’ll tweak resource flows with a slider, allocate tasks with a simple drag-and-drop, and watch as agentic collectives autonomously optimize workflows across industries. As we zoom out, we will witness the emergence of collective cognition, patterns that were invisible from the conversations before.</p><p id="5950" class="pw-post-body-paragraph ng nh gz ni b ht nj nk nl hw nm nn no np nq nr ns nt nu nv nw nx ny nz oa ob gs bk">If the Renaissance artists gave us a new way to situate ourselves in the world, now the vantage we choose will determine whether these agents remain inscrutable assistants or become transparent, manageable collaborators. The god’s-eye interface is that vantage. The only question left is: <strong class="ni ha">Who will build it first?</strong></p></div></div></div></div></section></div></div></article></div><div class="ab cb"><div class="ci bh fz ga gb gc"><div class="sh si ab jn"><div class="sj ab"><a class="sk ay am ao" rel="noopener follow" href="/tag/ui-design?source=post_page-----12498eb274d4---------------------------------------"><div class="sl fj cx sm ge sn so bf b bg z bk sp">UI Design</div></a></div><div class="sj ab"><a class="sk ay am ao" rel="noopener follow" href="/tag/artificial-intelligence?source=post_page-----12498eb274d4---------------------------------------"><div class="sl fj cx sm ge sn so bf b bg z bk sp">Artificial Intelligence</div></a></div><div class="sj ab"><a class="sk ay am ao" rel="noopener follow" href="/tag/user-experience?source=post_page-----12498eb274d4---------------------------------------"><div class="sl fj cx sm ge sn so bf b bg z bk sp">User Experience</div></a></div><div class="sj ab"><a class="sk ay 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A multi-agent ecosystem needs a “god’s-eye” vantage reminiscent of The Sims or Age of Empires, complete with resource dashboards, concurrency controls, and perhaps even cryptoeconomic dispute resolution. 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Perhaps a third-person vantage point that lets us see, direct, and govern entire AI swarms — much like overseeing villagers in a real-time strategy game.","hasDropCap":null,"dropCapImage":null,"markups":[{"__typename":"Markup","type":"STRONG","start":0,"end":128,"href":"","anchorType":"LINK","userId":"","linkMetadata":null}],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"Paragraph:933071abe662_12":{"__typename":"Paragraph","id":"933071abe662_12","name":"b780","type":"H3","href":null,"layout":null,"metadata":null,"text":"Deconstructing Vantage Shifts","hasDropCap":null,"dropCapImage":null,"markups":[],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"Paragraph:933071abe662_13":{"__typename":"Paragraph","id":"933071abe662_13","name":"21a6","type":"P","href":null,"layout":null,"metadata":null,"text":"Human history is littered with vantage shifts, but they rarely follow a straight line. 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Just as Renaissance still lifes anchored viewers with familiar objects — fruit, goblets, skulls — GUIs grounded computing in metaphor. 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The Renaissance portrait wasn’t just a likeness; it was a social artifact — a window into power, identity, and status. VTubers do the same in digital space: virtual avatars tethered to real humans, blending anonymity with intimacy. 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We’ve grown used to second-person interactions: chatbots that respond as if they’re peers, co-workers, or companions. But as agents multiply, this perspective breaks down. 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We don’t just need to interact with agents; we need to oversee, coordinate, and understand their emergent patterns across time and tasks.","hasDropCap":null,"dropCapImage":null,"markups":[{"__typename":"Markup","type":"STRONG","start":0,"end":61,"href":"","anchorType":"LINK","userId":"","linkMetadata":null}],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"Paragraph:933071abe662_33":{"__typename":"Paragraph","id":"933071abe662_33","name":"8da8","type":"P","href":null,"layout":null,"metadata":null,"text":"What’s strange and fascinating: this vantage doesn’t just resemble the managerial perspective of a city planner or general. It starts to look like the vantage of divine figures in older artworks. The more we abstract intelligence into agentic collectives, the more our gaze aligns with the detached, all-seeing vantage of Odin, the all-seeing eye of medieval manuscripts, or the silent, inscriptive presence of Thoth, forever recording the unfolding of order from chaos.","hasDropCap":null,"dropCapImage":null,"markups":[{"__typename":"Markup","type":"STRONG","start":0,"end":31,"href":"","anchorType":"LINK","userId":"","linkMetadata":null}],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"ImageMetadata:1*0y8VXACzOruQFYox1Uai9g@2x.jpeg":{"__typename":"ImageMetadata","id":"1*0y8VXACzOruQFYox1Uai9g@2x.jpeg","originalHeight":945,"originalWidth":1260,"focusPercentX":-1,"focusPercentY":-1,"alt":""},"Paragraph:933071abe662_34":{"__typename":"Paragraph","id":"933071abe662_34","name":"bc24","type":"IMG","href":null,"layout":"INSET_CENTER","metadata":{"__ref":"ImageMetadata:1*0y8VXACzOruQFYox1Uai9g@2x.jpeg"},"text":"","hasDropCap":null,"dropCapImage":null,"markups":[],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"Paragraph:933071abe662_35":{"__typename":"Paragraph","id":"933071abe662_35","name":"5e44","type":"PQ","href":null,"layout":null,"metadata":null,"text":"Image Source: Egypt, Thebes, Luxor, Valley of the Queens, Tomb of Nefertari, Annex to antechamber, Mural paintings, Queen before divine scribe Thoth","hasDropCap":null,"dropCapImage":null,"markups":[{"__typename":"Markup","type":"A","start":14,"end":148,"href":"https:\u002F\u002Fwww.meisterdrucke.ae\u002Ffine-art-prints\u002FEgyptian-19th-Dynasty\u002F1092522\u002FEgypt,-Thebes,-Luxor,-Valley-of-the-Queens,-Tomb-of-Nefertari,-Annex-to-antechamber,-Mural-paintings,-Queen-before-divine-scribe-Thoth.html","anchorType":"LINK","userId":"","linkMetadata":null}],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"Paragraph:933071abe662_36":{"__typename":"Paragraph","id":"933071abe662_36","name":"78d7","type":"P","href":null,"layout":null,"metadata":null,"text":"This might be the deepest regression yet. In seeking to control swarms of digital agents, we inadvertently return to behold what was once reserved for gods and myths. The “alien intelligence” we attribute to advanced models feels oddly familiar, mirroring the unknowable yet ordered forces that ancient societies projected onto their cosmologies.","hasDropCap":null,"dropCapImage":null,"markups":[{"__typename":"Markup","type":"STRONG","start":0,"end":41,"href":"","anchorType":"LINK","userId":"","linkMetadata":null},{"__typename":"Markup","type":"EM","start":172,"end":190,"href":"","anchorType":"LINK","userId":"","linkMetadata":null}],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"Paragraph:933071abe662_37":{"__typename":"Paragraph","id":"933071abe662_37","name":"2281","type":"P","href":null,"layout":null,"metadata":null,"text":"So maybe we aren’t progressing linearly. Maybe we’re closing a loop, returning depictions of the divine — this time with dashboards and token metrics instead of gold-leaf halos.","hasDropCap":null,"dropCapImage":null,"markups":[],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"Paragraph:933071abe662_38":{"__typename":"Paragraph","id":"933071abe662_38","name":"e513","type":"P","href":null,"layout":null,"metadata":null,"text":"Perhaps because, at the eve of superintelligence, when AI fragments into a swarm of agents, and all statistical metrics go off the charts, the only way to grasp the scale of the system might be to see it from above — like a deity surveying creation.","hasDropCap":null,"dropCapImage":null,"markups":[],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"Paragraph:933071abe662_39":{"__typename":"Paragraph","id":"933071abe662_39","name":"343c","type":"H3","href":null,"layout":null,"metadata":null,"text":"Digital Apotheosis","hasDropCap":null,"dropCapImage":null,"markups":[],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"Paragraph:933071abe662_40":{"__typename":"Paragraph","id":"933071abe662_40","name":"41dc","type":"P","href":null,"layout":null,"metadata":null,"text":"The first-person vantage in technology has always been about direct, unmediated control. Early computer interfaces were unapologetically first-person: blinking command-line prompts like MS-DOS or UNIX shells, where the user issued instructions with the stark intimacy of a parent holding the hand of a child through the depth of a blackout. cd ~\u002FDocuments wasn’t just a command; it was a first-person act of traversal — I go here, I execute this.","hasDropCap":null,"dropCapImage":null,"markups":[{"__typename":"Markup","type":"STRONG","start":0,"end":88,"href":"","anchorType":"LINK","userId":"","linkMetadata":null},{"__typename":"Markup","type":"EM","start":341,"end":355,"href":"","anchorType":"LINK","userId":"","linkMetadata":null}],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"ImageMetadata:1*KUoMBP_QR7BNtVjt6LFlJA@2x.jpeg":{"__typename":"ImageMetadata","id":"1*KUoMBP_QR7BNtVjt6LFlJA@2x.jpeg","originalHeight":855,"originalWidth":1288,"focusPercentX":-1,"focusPercentY":-1,"alt":""},"Paragraph:933071abe662_41":{"__typename":"Paragraph","id":"933071abe662_41","name":"b071","type":"IMG","href":null,"layout":"INSET_CENTER","metadata":{"__ref":"ImageMetadata:1*KUoMBP_QR7BNtVjt6LFlJA@2x.jpeg"},"text":"","hasDropCap":null,"dropCapImage":null,"markups":[],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"Paragraph:933071abe662_42":{"__typename":"Paragraph","id":"933071abe662_42","name":"c8a9","type":"PQ","href":null,"layout":null,"metadata":null,"text":"Image Source: Adventuron CaveJam — Adventuron (illustrated) text adventure game creation jam with new games to play!","hasDropCap":null,"dropCapImage":null,"markups":[{"__typename":"Markup","type":"A","start":14,"end":116,"href":"https:\u002F\u002Fwww.indieretronews.com\u002F2019\u002F09\u002Fadventuron-cavejam-adventuron_27.html","anchorType":"LINK","userId":"","linkMetadata":null}],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"Paragraph:933071abe662_43":{"__typename":"Paragraph","id":"933071abe662_43","name":"e9b8","type":"P","href":null,"layout":null,"metadata":null,"text":"Virtual reality inherits this lineage. 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Slack channels feel natural when you’re checking in with your marketing team; ChatGPT excels at clarifying concepts in a single-threaded exchange. But multi-agent setups are straining this model to its limits.","hasDropCap":null,"dropCapImage":null,"markups":[{"__typename":"Markup","type":"STRONG","start":0,"end":99,"href":"","anchorType":"LINK","userId":"","linkMetadata":null}],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"Paragraph:933071abe662_50":{"__typename":"Paragraph","id":"933071abe662_50","name":"2f9b","type":"P","href":null,"layout":null,"metadata":null,"text":"Imagine trying to coordinate twenty agents simultaneously this way — each tasked with different goals, each consuming shared resources. You open one chat window, then another. You track partial context across multiple threads, hoping to stitch together the big picture from fragmented conversations (that is me today, and yesterday as well… isn’t that something everyone does now? welcome to 2025!)","hasDropCap":null,"dropCapImage":null,"markups":[{"__typename":"Markup","type":"STRONG","start":0,"end":67,"href":"","anchorType":"LINK","userId":"","linkMetadata":null},{"__typename":"Markup","type":"EM","start":298,"end":398,"href":"","anchorType":"LINK","userId":"","linkMetadata":null}],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"Paragraph:933071abe662_51":{"__typename":"Paragraph","id":"933071abe662_51","name":"bacb","type":"P","href":null,"layout":null,"metadata":null,"text":"Conversations become parallel monologues; the simplicity of I ask, you answer breaks when scaled across agent societies.","hasDropCap":null,"dropCapImage":null,"markups":[],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"ImageMetadata:1*fouyK01K4lXZ-Jep8_BXLw@2x.jpeg":{"__typename":"ImageMetadata","id":"1*fouyK01K4lXZ-Jep8_BXLw@2x.jpeg","originalHeight":863,"originalWidth":1600,"focusPercentX":-1,"focusPercentY":-1,"alt":""},"Paragraph:933071abe662_52":{"__typename":"Paragraph","id":"933071abe662_52","name":"33dc","type":"IMG","href":null,"layout":"INSET_CENTER","metadata":{"__ref":"ImageMetadata:1*fouyK01K4lXZ-Jep8_BXLw@2x.jpeg"},"text":"","hasDropCap":null,"dropCapImage":null,"markups":[],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"Paragraph:933071abe662_53":{"__typename":"Paragraph","id":"933071abe662_53","name":"d99f","type":"PQ","href":null,"layout":null,"metadata":null,"text":"Image Source: How To Do A Zoom Meeting On Computer — Not a design pattern, please! I beg you!","hasDropCap":null,"dropCapImage":null,"markups":[{"__typename":"Markup","type":"A","start":14,"end":51,"href":"https:\u002F\u002Frobots.net\u002Ftech\u002Fhow-to-do-a-zoom-meeting-on-computer\u002F","anchorType":"LINK","userId":"","linkMetadata":null}],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"Paragraph:933071abe662_54":{"__typename":"Paragraph","id":"933071abe662_54","name":"9f5e","type":"P","href":null,"layout":null,"metadata":null,"text":"That’s precisely the problem. The more agents we introduce, the more brittle our second-person interfaces become. We end up juggling multiple conversations like a full company meeting with unmuted microphones, or just another offsite — chaos ensued.","hasDropCap":null,"dropCapImage":null,"markups":[],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"Paragraph:933071abe662_55":{"__typename":"Paragraph","id":"933071abe662_55","name":"1a4e","type":"P","href":null,"layout":null,"metadata":null,"text":"The consequences aren’t just cognitive overload; they’re operational blind spots. Resources like compute tokens, API budgets, or task queues become invisible. Conflicts between agents (and people) surface only when something breaks. And as workflows stretch across dozens or even hundreds of specialized agents (or people), the conversational interface feels like staring at individual trees while the forest catches fire behind us.","hasDropCap":null,"dropCapImage":null,"markups":[{"__typename":"Markup","type":"STRONG","start":0,"end":81,"href":"","anchorType":"LINK","userId":"","linkMetadata":null},{"__typename":"Markup","type":"EM","start":185,"end":195,"href":"","anchorType":"LINK","userId":"","linkMetadata":null},{"__typename":"Markup","type":"EM","start":312,"end":321,"href":"","anchorType":"LINK","userId":"","linkMetadata":null}],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"Paragraph:933071abe662_56":{"__typename":"Paragraph","id":"933071abe662_56","name":"82e6","type":"P","href":null,"layout":null,"metadata":null,"text":"Aren’t you feeling this interface friction too? Well, think bigger: we are hitting a vantage ceiling. The conversational interface, optimized for pairwise human-AI interaction (and, well, people-to-people), can’t scale into the systemic view these new workflows demand.","hasDropCap":null,"dropCapImage":null,"markups":[{"__typename":"Markup","type":"STRONG","start":0,"end":47,"href":"","anchorType":"LINK","userId":"","linkMetadata":null},{"__typename":"Markup","type":"EM","start":177,"end":204,"href":"","anchorType":"LINK","userId":"","linkMetadata":null}],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"Paragraph:933071abe662_57":{"__typename":"Paragraph","id":"933071abe662_57","name":"38db","type":"P","href":null,"layout":null,"metadata":null,"text":"We need a shift of perspective. Where first-person interfaces lock us into task-level immediacy and second-person designs emphasize interaction over oversight, what multi-agent systems demand is a vantage that can step back — a perspective that treats agents not as conversational counterparts but as dynamic, interdependent actors within a larger system.","hasDropCap":null,"dropCapImage":null,"markups":[{"__typename":"Markup","type":"STRONG","start":0,"end":32,"href":"","anchorType":"LINK","userId":"","linkMetadata":null}],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"ImageMetadata:1*oLQ4vOdNQuVEAa8elYEKMQ@2x.jpeg":{"__typename":"ImageMetadata","id":"1*oLQ4vOdNQuVEAa8elYEKMQ@2x.jpeg","originalHeight":1080,"originalWidth":1920,"focusPercentX":-1,"focusPercentY":-1,"alt":""},"Paragraph:933071abe662_58":{"__typename":"Paragraph","id":"933071abe662_58","name":"68a1","type":"IMG","href":null,"layout":"INSET_CENTER","metadata":{"__ref":"ImageMetadata:1*oLQ4vOdNQuVEAa8elYEKMQ@2x.jpeg"},"text":"","hasDropCap":null,"dropCapImage":null,"markups":[],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"Paragraph:933071abe662_59":{"__typename":"Paragraph","id":"933071abe662_59","name":"6722","type":"PQ","href":null,"layout":null,"metadata":null,"text":"Image Source: 3rd Person View During Alduin Attack on Helgen","hasDropCap":null,"dropCapImage":null,"markups":[{"__typename":"Markup","type":"A","start":14,"end":60,"href":"https:\u002F\u002Fwww.nexusmods.com\u002Fskyrimspecialedition\u002Fmods\u002F15533?tab=images","anchorType":"LINK","userId":"","linkMetadata":null}],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"Paragraph:933071abe662_60":{"__typename":"Paragraph","id":"933071abe662_60","name":"f34e","type":"P","href":null,"layout":null,"metadata":null,"text":"The first impulse is to try the third-person vantage — perhaps not as a standalone interface, but as a transitional lens that allows us to observe the networked behaviors and systemic flows these agents create. In this view, agents aren’t participants in dialogue; they’re nodes in a shifting topology, each contributing to an evolving landscape of goals, resources, and emergent patterns.","hasDropCap":null,"dropCapImage":null,"markups":[],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"Paragraph:933071abe662_61":{"__typename":"Paragraph","id":"933071abe662_61","name":"e31f","type":"P","href":null,"layout":null,"metadata":null,"text":"And from here, the progression to a top-down vantage becomes obvious. Observing agents from a distance isn’t enough; we need the ability to shape the conditions they operate within. Top-down interfaces don’t micro-manage — they orchestrate. They reveal flows of information, contention points in resource allocation, and systemic anomalies before they cascade into failures.","hasDropCap":null,"dropCapImage":null,"markups":[{"__typename":"Markup","type":"STRONG","start":70,"end":181,"href":"","anchorType":"LINK","userId":"","linkMetadata":null}],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"Paragraph:933071abe662_62":{"__typename":"Paragraph","id":"933071abe662_62","name":"a5bc","type":"P","href":null,"layout":null,"metadata":null,"text":"It’s time to challenge ourselves: Let’s stop treating agents like conversational partners — and start seeing them as dynamic societies that need top-down oversight. 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Resources shimmer in the corners of the map — wood, gold, stone, and food — while units scurry to complete tasks you’ve assigned. The game gives you a systemic view: you see bottlenecks in production, idle workers, and military clashes, all from a god’s-eye perspective.","hasDropCap":null,"dropCapImage":null,"markups":[{"__typename":"Markup","type":"STRONG","start":303,"end":443,"href":"","anchorType":"LINK","userId":"","linkMetadata":null},{"__typename":"Markup","type":"EM","start":10,"end":16,"href":"","anchorType":"LINK","userId":"","linkMetadata":null},{"__typename":"Markup","type":"EM","start":21,"end":35,"href":"","anchorType":"LINK","userId":"","linkMetadata":null},{"__typename":"Markup","type":"EM","start":89,"end":124,"href":"","anchorType":"LINK","userId":"","linkMetadata":null}],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"Paragraph:933071abe662_68":{"__typename":"Paragraph","id":"933071abe662_68","name":"fde6","type":"P","href":null,"layout":null,"metadata":null,"text":"This is precisely the vantage we need for agentic AI. Managing twenty, fifty, or a hundred agents through chat threads is like trying to micromanage an empire through text messages. We don’t need more conversations; we need strategic oversight. The top-down vantage of games like The Sims or Civilization isn’t just entertaining — it’s a blueprint for orchestrating swarms of AI agents at scale.","hasDropCap":null,"dropCapImage":null,"markups":[{"__typename":"Markup","type":"EM","start":280,"end":288,"href":"","anchorType":"LINK","userId":"","linkMetadata":null},{"__typename":"Markup","type":"EM","start":292,"end":304,"href":"","anchorType":"LINK","userId":"","linkMetadata":null}],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"Paragraph:933071abe662_69":{"__typename":"Paragraph","id":"933071abe662_69","name":"1518","type":"P","href":null,"layout":null,"metadata":null,"text":"Perhaps this was always meant to be.","hasDropCap":null,"dropCapImage":null,"markups":[],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"Paragraph:933071abe662_70":{"__typename":"Paragraph","id":"933071abe662_70","name":"f1df","type":"H4","href":null,"layout":null,"metadata":null,"text":"Analysis: The Cognitive Power of Overviews","hasDropCap":null,"dropCapImage":null,"markups":[],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"Paragraph:933071abe662_71":{"__typename":"Paragraph","id":"933071abe662_71","name":"4045","type":"P","href":null,"layout":null,"metadata":null,"text":"The success of third-person, god’s-eye UIs in strategy games isn’t accidental. These interfaces emerged to help players manage complexity by surfacing the right abstractions at the right time. In AI, the design logic is similar. Here’s why it works:","hasDropCap":null,"dropCapImage":null,"markups":[],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"Paragraph:933071abe662_72":{"__typename":"Paragraph","id":"933071abe662_72","name":"ad7a","type":"ULI","href":null,"layout":null,"metadata":null,"text":"Resource Dashboards: In Real-Time Strategy (RTS) games, you track lumber, gold, population capacity. In agentic AI, those same principles apply — just with different resources. Compute budgets, token usage, memory context, and perhaps even cryptoeconomic stakes become the new “gold, lumber and stone” of digital economies. A dashboard that visualizes these resources in real-time would provide the same clarity RTS players have used for decades.","hasDropCap":null,"dropCapImage":null,"markups":[{"__typename":"Markup","type":"A","start":24,"end":48,"href":"https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FReal-time_strategy","anchorType":"LINK","userId":"","linkMetadata":null},{"__typename":"Markup","type":"STRONG","start":0,"end":20,"href":"","anchorType":"LINK","userId":"","linkMetadata":null},{"__typename":"Markup","type":"EM","start":278,"end":300,"href":"","anchorType":"LINK","userId":"","linkMetadata":null}],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"Paragraph:933071abe662_73":{"__typename":"Paragraph","id":"933071abe662_73","name":"30e8","type":"ULI","href":null,"layout":null,"metadata":null,"text":"Agents as Units: Every agent in a multi-agent system can be represented as a “unit” with its own capabilities, tasks, and status indicators. Just as an RTS game differentiates between builders, soldiers, and scouts, an AI society includes specialized models for coding, research, or customer interactions. Assigning, tracking, and reallocating these agents becomes intuitive when they’re laid out spatially rather than buried in text logs.","hasDropCap":null,"dropCapImage":null,"markups":[{"__typename":"Markup","type":"STRONG","start":0,"end":16,"href":"","anchorType":"LINK","userId":"","linkMetadata":null}],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"Paragraph:933071abe662_74":{"__typename":"Paragraph","id":"933071abe662_74","name":"9af6","type":"ULI","href":null,"layout":null,"metadata":null,"text":"The Environment as a Map: RTS maps give players immediate spatial context: where resources lie, where units operate, and where conflicts brew. For AI, this environment can manifest as a knowledge graph, workflow diagram, or even the larger cryptocurrency ecosystem. Instead of manually piecing together relationships from chat threads, you see agents interacting across task networks and data domains — like watching trade routes form in Civilization.","hasDropCap":null,"dropCapImage":null,"markups":[{"__typename":"Markup","type":"STRONG","start":0,"end":25,"href":"","anchorType":"LINK","userId":"","linkMetadata":null}],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"Paragraph:933071abe662_75":{"__typename":"Paragraph","id":"933071abe662_75","name":"e792","type":"ULI","href":null,"layout":null,"metadata":null,"text":"Event Logs as Dynamic Notifications: RTS games keep players updated through event notifications: “Enemy approaching from the west,” “Gold depleted.” In agentic AI, this translates into intelligent alerts — “Agent X exceeded token quota” or “Workflow Y stalled due to resource contention.” The log becomes a live narrative of system activity, giving operators the information they need without overwhelming them with noise.","hasDropCap":null,"dropCapImage":null,"markups":[{"__typename":"Markup","type":"STRONG","start":0,"end":37,"href":"","anchorType":"LINK","userId":"","linkMetadata":null},{"__typename":"Markup","type":"EM","start":98,"end":130,"href":"","anchorType":"LINK","userId":"","linkMetadata":null},{"__typename":"Markup","type":"EM","start":133,"end":147,"href":"","anchorType":"LINK","userId":"","linkMetadata":null},{"__typename":"Markup","type":"EM","start":207,"end":235,"href":"","anchorType":"LINK","userId":"","linkMetadata":null},{"__typename":"Markup","type":"EM","start":241,"end":287,"href":"","anchorType":"LINK","userId":"","linkMetadata":null}],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"ImageMetadata:1*xqHgIi5xMD5o2eSUYQ-tuQ@2x.jpeg":{"__typename":"ImageMetadata","id":"1*xqHgIi5xMD5o2eSUYQ-tuQ@2x.jpeg","originalHeight":590,"originalWidth":800,"focusPercentX":-1,"focusPercentY":-1,"alt":""},"Paragraph:933071abe662_76":{"__typename":"Paragraph","id":"933071abe662_76","name":"8afa","type":"IMG","href":null,"layout":"INSET_CENTER","metadata":{"__ref":"ImageMetadata:1*xqHgIi5xMD5o2eSUYQ-tuQ@2x.jpeg"},"text":"","hasDropCap":null,"dropCapImage":null,"markups":[],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"Paragraph:933071abe662_77":{"__typename":"Paragraph","id":"933071abe662_77","name":"2805","type":"PQ","href":null,"layout":null,"metadata":null,"text":"Image Source: Leonardo da Vinci’s map of Imola, Italy in 1502","hasDropCap":null,"dropCapImage":null,"markups":[{"__typename":"Markup","type":"A","start":14,"end":61,"href":"https:\u002F\u002Fwww.goodfreephotos.com\u002Fitaly\u002Fother-italy\u002Fleonardo-da-vinci-map-of-imola-1502.jpg.php","anchorType":"LINK","userId":"","linkMetadata":null}],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"Paragraph:933071abe662_78":{"__typename":"Paragraph","id":"933071abe662_78","name":"73be","type":"H4","href":null,"layout":null,"metadata":null,"text":"Analysis: Aerial Vantage as Cognitive Leverage","hasDropCap":null,"dropCapImage":null,"markups":[],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"Paragraph:933071abe662_79":{"__typename":"Paragraph","id":"933071abe662_79","name":"ae9b","type":"P","href":null,"layout":null,"metadata":null,"text":"This isn’t the first time humanity has had to rethink vantage to manage complexity. When Renaissance artists began painting cityscapes, they embraced aerial perspective to convey the vastness and interconnectedness of urban life. Da Vinci’s maps of Imola, drawn from a hypothetical bird’s-eye perspective, gave military planners strategic insight into roads, fortifications, and supply routes. Centuries later, aerial photography and satellite imagery revolutionized urban planning, logistics, and even geopolitics.","hasDropCap":null,"dropCapImage":null,"markups":[{"__typename":"Markup","type":"STRONG","start":84,"end":229,"href":"","anchorType":"LINK","userId":"","linkMetadata":null}],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"Paragraph:933071abe662_80":{"__typename":"Paragraph","id":"933071abe662_80","name":"9cde","type":"P","href":null,"layout":null,"metadata":null,"text":"Now, we face a similar challenge in AI. Agentic systems operate more like emergent societies than static tools. To manage them effectively, we need to climb the metaphorical bell tower and see the system in full.","hasDropCap":null,"dropCapImage":null,"markups":[{"__typename":"Markup","type":"STRONG","start":40,"end":110,"href":"","anchorType":"LINK","userId":"","linkMetadata":null}],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"Paragraph:933071abe662_81":{"__typename":"Paragraph","id":"933071abe662_81","name":"9e40","type":"P","href":null,"layout":null,"metadata":null,"text":"The third-person vantage offers precisely that cognitive elevation. It transforms agentic AI from a fragmented, conversation-driven maze into a navigable, interactive landscape. And just like Masaccio’s perspective grid or Da Vinci’s aerial sketches, it’s not merely a technical trick; it’s a conceptual shift in how we relate to machine intelligence.","hasDropCap":null,"dropCapImage":null,"markups":[{"__typename":"Markup","type":"EM","start":192,"end":202,"href":"","anchorType":"LINK","userId":"","linkMetadata":null},{"__typename":"Markup","type":"EM","start":203,"end":214,"href":"","anchorType":"LINK","userId":"","linkMetadata":null},{"__typename":"Markup","type":"EM","start":223,"end":249,"href":"","anchorType":"LINK","userId":"","linkMetadata":null}],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"Paragraph:933071abe662_82":{"__typename":"Paragraph","id":"933071abe662_82","name":"bb34","type":"P","href":null,"layout":null,"metadata":null,"text":"From here, the path forward becomes clearer: Let’s start overseeing agents like systems architects, city planners — or, if you like, RTS commanders. Let’s use a vantage point that might really helps us understand and orchestrate intelligence as a collective phenomenon rather than a conversational partner.","hasDropCap":null,"dropCapImage":null,"markups":[{"__typename":"Markup","type":"STRONG","start":149,"end":268,"href":"","anchorType":"LINK","userId":"","linkMetadata":null}],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"ImageMetadata:1*ojlHN_jDL-TxJYi-c7Ptxw@2x.jpeg":{"__typename":"ImageMetadata","id":"1*ojlHN_jDL-TxJYi-c7Ptxw@2x.jpeg","originalHeight":967,"originalWidth":1600,"focusPercentX":-1,"focusPercentY":-1,"alt":""},"Paragraph:933071abe662_83":{"__typename":"Paragraph","id":"933071abe662_83","name":"9481","type":"IMG","href":null,"layout":"INSET_CENTER","metadata":{"__ref":"ImageMetadata:1*ojlHN_jDL-TxJYi-c7Ptxw@2x.jpeg"},"text":"","hasDropCap":null,"dropCapImage":null,"markups":[],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"Paragraph:933071abe662_84":{"__typename":"Paragraph","id":"933071abe662_84","name":"3c5b","type":"PQ","href":null,"layout":null,"metadata":null,"text":"Image Source: Starcraft 2 map layout and a new portfolio","hasDropCap":null,"dropCapImage":null,"markups":[{"__typename":"Markup","type":"A","start":14,"end":56,"href":"http:\u002F\u002Ffredrikhenriksson.blogspot.com\u002F2011\u002F12\u002Fstarcraft-2-map-layout-and-new.html","anchorType":"LINK","userId":"","linkMetadata":null}],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"Paragraph:933071abe662_85":{"__typename":"Paragraph","id":"933071abe662_85","name":"f99b","type":"H3","href":null,"layout":null,"metadata":null,"text":"Agentic User Interface Principles","hasDropCap":null,"dropCapImage":null,"markups":[],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"Paragraph:933071abe662_86":{"__typename":"Paragraph","id":"933071abe662_86","name":"5eb3","type":"P","href":null,"layout":null,"metadata":null,"text":"If we want to shift from conversational chaos to orchestrated clarity, the interface itself must evolve. What does that look like in practice? Think of the design patterns honed by decades of RTS and simulation games: map-based overviews, resource dashboards, event logs, and task queues.","hasDropCap":null,"dropCapImage":null,"markups":[],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"Paragraph:933071abe662_87":{"__typename":"Paragraph","id":"933071abe662_87","name":"a78e","type":"P","href":null,"layout":null,"metadata":null,"text":"Here are five core principles for designing a truly Agentic User Interface (AUI) — a framework that turns agent societies from conversational noise into coherent, navigable systems.","hasDropCap":null,"dropCapImage":null,"markups":[{"__typename":"Markup","type":"EM","start":52,"end":80,"href":"","anchorType":"LINK","userId":"","linkMetadata":null}],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"Paragraph:933071abe662_88":{"__typename":"Paragraph","id":"933071abe662_88","name":"a8c1","type":"H4","href":null,"layout":null,"metadata":null,"text":"1. Spatial or Map-Like Layout: Orient the Agents in Context","hasDropCap":null,"dropCapImage":null,"markups":[],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"Paragraph:933071abe662_89":{"__typename":"Paragraph","id":"933071abe662_89","name":"5f2e","type":"P","href":null,"layout":null,"metadata":null,"text":"Agents are inherently contextual entities. Each operates within a certain task domain — research, execution, monitoring — and often shares state with others. In Agentic UI, these agents should be visually “pinned” to relevant contexts on a spatial map.","hasDropCap":null,"dropCapImage":null,"markups":[{"__typename":"Markup","type":"STRONG","start":0,"end":43,"href":"","anchorType":"LINK","userId":"","linkMetadata":null},{"__typename":"Markup","type":"EM","start":161,"end":171,"href":"","anchorType":"LINK","userId":"","linkMetadata":null}],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"Paragraph:933071abe662_90":{"__typename":"Paragraph","id":"933071abe662_90","name":"43ad","type":"P","href":null,"layout":null,"metadata":null,"text":"Imagine a knowledge graph that doubles as a tactical map:","hasDropCap":null,"dropCapImage":null,"markups":[],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"Paragraph:933071abe662_91":{"__typename":"Paragraph","id":"933071abe662_91","name":"8598","type":"ULI","href":null,"layout":null,"metadata":null,"text":"Agents working on customer support tasks cluster near CRM data nodes.","hasDropCap":null,"dropCapImage":null,"markups":[],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"Paragraph:933071abe662_92":{"__typename":"Paragraph","id":"933071abe662_92","name":"af02","type":"ULI","href":null,"layout":null,"metadata":null,"text":"Research agents hover around data-collection hubs.","hasDropCap":null,"dropCapImage":null,"markups":[],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"Paragraph:933071abe662_93":{"__typename":"Paragraph","id":"933071abe662_93","name":"4ae9","type":"ULI","href":null,"layout":null,"metadata":null,"text":"Executors stay anchored to active task pipelines.","hasDropCap":null,"dropCapImage":null,"markups":[],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"ImageMetadata:1*rQnS_kWCAcM20zFzaZ9iRw@2x.jpeg":{"__typename":"ImageMetadata","id":"1*rQnS_kWCAcM20zFzaZ9iRw@2x.jpeg","originalHeight":1275,"originalWidth":1768,"focusPercentX":-1,"focusPercentY":-1,"alt":""},"Paragraph:933071abe662_94":{"__typename":"Paragraph","id":"933071abe662_94","name":"bff1","type":"IMG","href":null,"layout":"INSET_CENTER","metadata":{"__ref":"ImageMetadata:1*rQnS_kWCAcM20zFzaZ9iRw@2x.jpeg"},"text":"","hasDropCap":null,"dropCapImage":null,"markups":[],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"Paragraph:933071abe662_95":{"__typename":"Paragraph","id":"933071abe662_95","name":"7855","type":"PQ","href":null,"layout":null,"metadata":null,"text":"SVG source code here.","hasDropCap":null,"dropCapImage":null,"markups":[{"__typename":"Markup","type":"A","start":16,"end":20,"href":"https:\u002F\u002Fgist.github.com\u002Fsadasant\u002Fbe7ab7aec36481e1cd7bed664b3c4daf#file-0_map-like-layout-svg","anchorType":"LINK","userId":"","linkMetadata":null}],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"Paragraph:933071abe662_96":{"__typename":"Paragraph","id":"933071abe662_96","name":"b1b3","type":"P","href":null,"layout":null,"metadata":null,"text":"This layout provides an intuitive overview of agent distribution, operational hotspots, and neglected areas. It’s The Sims, but for intelligence orchestration.","hasDropCap":null,"dropCapImage":null,"markups":[{"__typename":"Markup","type":"EM","start":114,"end":122,"href":"","anchorType":"LINK","userId":"","linkMetadata":null}],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"Paragraph:933071abe662_97":{"__typename":"Paragraph","id":"933071abe662_97","name":"77a2","type":"H4","href":null,"layout":null,"metadata":null,"text":"2. Resource Management Panel: Track the Lifeblood of Agentic Economies","hasDropCap":null,"dropCapImage":null,"markups":[],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"Paragraph:933071abe662_98":{"__typename":"Paragraph","id":"933071abe662_98","name":"e113","type":"P","href":null,"layout":null,"metadata":null,"text":"Every agentic system runs on finite resources: tokens, compute cycles, context window real estate, and, in the nearby future of cryptoeconomic architectures, staked capital. Without visibility into these resources, agents can overconsume, stall, or fail silently.","hasDropCap":null,"dropCapImage":null,"markups":[{"__typename":"Markup","type":"STRONG","start":0,"end":47,"href":"","anchorType":"LINK","userId":"","linkMetadata":null}],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"Paragraph:933071abe662_99":{"__typename":"Paragraph","id":"933071abe662_99","name":"ee8e","type":"P","href":null,"layout":null,"metadata":null,"text":"A resource panel should mirror the RTS tradition:","hasDropCap":null,"dropCapImage":null,"markups":[],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"Paragraph:933071abe662_100":{"__typename":"Paragraph","id":"933071abe662_100","name":"9a19","type":"ULI","href":null,"layout":null,"metadata":null,"text":"Token usage: How many tokens have been consumed? What’s the projected burn rate?","hasDropCap":null,"dropCapImage":null,"markups":[{"__typename":"Markup","type":"STRONG","start":0,"end":12,"href":"","anchorType":"LINK","userId":"","linkMetadata":null}],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"Paragraph:933071abe662_101":{"__typename":"Paragraph","id":"933071abe662_101","name":"59a6","type":"ULI","href":null,"layout":null,"metadata":null,"text":"Compute distribution: Which agents are hogging GPU cycles?","hasDropCap":null,"dropCapImage":null,"markups":[{"__typename":"Markup","type":"STRONG","start":0,"end":21,"href":"","anchorType":"LINK","userId":"","linkMetadata":null}],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"Paragraph:933071abe662_102":{"__typename":"Paragraph","id":"933071abe662_102","name":"3142","type":"ULI","href":null,"layout":null,"metadata":null,"text":"Staked assets: If agents operate in cryptoeconomic environments, what assets have been pledged as collateral?","hasDropCap":null,"dropCapImage":null,"markups":[{"__typename":"Markup","type":"STRONG","start":0,"end":14,"href":"","anchorType":"LINK","userId":"","linkMetadata":null}],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"ImageMetadata:1*UnOu-cH-uA_lHscaU7KyqA@2x.jpeg":{"__typename":"ImageMetadata","id":"1*UnOu-cH-uA_lHscaU7KyqA@2x.jpeg","originalHeight":1286,"originalWidth":1769,"focusPercentX":-1,"focusPercentY":-1,"alt":""},"Paragraph:933071abe662_103":{"__typename":"Paragraph","id":"933071abe662_103","name":"a415","type":"IMG","href":null,"layout":"INSET_CENTER","metadata":{"__ref":"ImageMetadata:1*UnOu-cH-uA_lHscaU7KyqA@2x.jpeg"},"text":"","hasDropCap":null,"dropCapImage":null,"markups":[],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"Paragraph:933071abe662_104":{"__typename":"Paragraph","id":"933071abe662_104","name":"6550","type":"PQ","href":null,"layout":null,"metadata":null,"text":"SVG source code here.","hasDropCap":null,"dropCapImage":null,"markups":[{"__typename":"Markup","type":"A","start":16,"end":20,"href":"https:\u002F\u002Fgist.github.com\u002Fsadasant\u002Fbe7ab7aec36481e1cd7bed664b3c4daf#file-1_resource-panel-svg","anchorType":"LINK","userId":"","linkMetadata":null}],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"Paragraph:933071abe662_105":{"__typename":"Paragraph","id":"933071abe662_105","name":"82e9","type":"P","href":null,"layout":null,"metadata":null,"text":"This isn’t abstract bookkeeping. In agentic workflows, resource imbalances often signal strategic or operational misalignments. Surfacing this data early allows proactive intervention, much like spotting your gold supply dwindling in Age of Empires before the trebuchets stop firing.","hasDropCap":null,"dropCapImage":null,"markups":[{"__typename":"Markup","type":"EM","start":234,"end":248,"href":"","anchorType":"LINK","userId":"","linkMetadata":null}],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"Paragraph:933071abe662_106":{"__typename":"Paragraph","id":"933071abe662_106","name":"df6a","type":"H4","href":null,"layout":null,"metadata":null,"text":"3. Task Orchestration & Priority Queues: Command Centers for Cognitive Workflows","hasDropCap":null,"dropCapImage":null,"markups":[],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"Paragraph:933071abe662_107":{"__typename":"Paragraph","id":"933071abe662_107","name":"54c4","type":"P","href":null,"layout":null,"metadata":null,"text":"In an RTS game, players queue tasks: build a barracks, then train infantry, then research new tech. AI agents benefit from similar orchestration mechanisms, especially when tasks have dependencies or priority rules.","hasDropCap":null,"dropCapImage":null,"markups":[{"__typename":"Markup","type":"STRONG","start":0,"end":36,"href":"","anchorType":"LINK","userId":"","linkMetadata":null}],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"Paragraph:933071abe662_108":{"__typename":"Paragraph","id":"933071abe662_108","name":"c280","type":"P","href":null,"layout":null,"metadata":null,"text":"A well-designed AUI should provide:","hasDropCap":null,"dropCapImage":null,"markups":[],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"Paragraph:933071abe662_109":{"__typename":"Paragraph","id":"933071abe662_109","name":"f35c","type":"ULI","href":null,"layout":null,"metadata":null,"text":"Per-agent queues: Each agent displays its current task, queued tasks, and pending inputs.","hasDropCap":null,"dropCapImage":null,"markups":[{"__typename":"Markup","type":"STRONG","start":0,"end":17,"href":"","anchorType":"LINK","userId":"","linkMetadata":null}],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"Paragraph:933071abe662_110":{"__typename":"Paragraph","id":"933071abe662_110","name":"a050","type":"ULI","href":null,"layout":null,"metadata":null,"text":"Group-level orchestration: Agents working as a team (e.g., a “research pod”) share a unified queue with priority levels.","hasDropCap":null,"dropCapImage":null,"markups":[{"__typename":"Markup","type":"STRONG","start":0,"end":27,"href":"","anchorType":"LINK","userId":"","linkMetadata":null}],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"Paragraph:933071abe662_111":{"__typename":"Paragraph","id":"933071abe662_111","name":"d383","type":"ULI","href":null,"layout":null,"metadata":null,"text":"Dynamic reprioritization: Drag-and-drop adjustments to reallocate efforts based on real-time conditions.","hasDropCap":null,"dropCapImage":null,"markups":[{"__typename":"Markup","type":"STRONG","start":0,"end":26,"href":"","anchorType":"LINK","userId":"","linkMetadata":null}],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"ImageMetadata:1*PLjtLUilZaJO0gOXgZU5zw@2x.jpeg":{"__typename":"ImageMetadata","id":"1*PLjtLUilZaJO0gOXgZU5zw@2x.jpeg","originalHeight":1235,"originalWidth":1763,"focusPercentX":-1,"focusPercentY":-1,"alt":""},"Paragraph:933071abe662_112":{"__typename":"Paragraph","id":"933071abe662_112","name":"9f60","type":"IMG","href":null,"layout":"INSET_CENTER","metadata":{"__ref":"ImageMetadata:1*PLjtLUilZaJO0gOXgZU5zw@2x.jpeg"},"text":"","hasDropCap":null,"dropCapImage":null,"markups":[],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"Paragraph:933071abe662_113":{"__typename":"Paragraph","id":"933071abe662_113","name":"c513","type":"PQ","href":null,"layout":null,"metadata":null,"text":"SVG source code here.","hasDropCap":null,"dropCapImage":null,"markups":[{"__typename":"Markup","type":"A","start":16,"end":20,"href":"https:\u002F\u002Fgist.github.com\u002Fsadasant\u002Fbe7ab7aec36481e1cd7bed664b3c4daf#file-2_task-manager-svg","anchorType":"LINK","userId":"","linkMetadata":null}],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"Paragraph:933071abe662_114":{"__typename":"Paragraph","id":"933071abe662_114","name":"afaa","type":"P","href":null,"layout":null,"metadata":null,"text":"Industrial assembly lines optimized production through task sequencing. Now, we apply that same logic to sequences of cognitive work across distributed agents. Without this, task management devolves into reactive prompt-spamming. Structured queues transform agent orchestration from guesswork into proactive planning.","hasDropCap":null,"dropCapImage":null,"markups":[{"__typename":"Markup","type":"A","start":55,"end":70,"href":"https:\u002F\u002Fnextplus.io\u002Flean-manufacturing\u002Foptimizing-assembly-line-efficiency-a-step-by-step-guide\u002F","anchorType":"LINK","userId":"","linkMetadata":null}],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"Paragraph:933071abe662_115":{"__typename":"Paragraph","id":"933071abe662_115","name":"259b","type":"H4","href":null,"layout":null,"metadata":null,"text":"4. 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Event logs serve the same purpose in AI: brief signals that prompt immediate action. The goal is to surface significant events without overwhelming users with noise. Filters and hierarchical categorization help operators separate routine agent chatter from critical interventions.","hasDropCap":null,"dropCapImage":null,"markups":[{"__typename":"Markup","type":"A","start":28,"end":40,"href":"https:\u002F\u002Fseaforce.my\u002Fnaval-communication-history\u002F","anchorType":"LINK","userId":"","linkMetadata":null}],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"Paragraph:933071abe662_124":{"__typename":"Paragraph","id":"933071abe662_124","name":"26a5","type":"H4","href":null,"layout":null,"metadata":null,"text":"5. 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Agentic ecosystems will need the same. This isn’t just a technical necessity; it’s a design shift from deterministic algorithms to adaptive, self-governing agent societies.","hasDropCap":null,"dropCapImage":null,"markups":[{"__typename":"Markup","type":"A","start":5,"end":20,"href":"https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FSolon","anchorType":"LINK","userId":"","linkMetadata":null}],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"Paragraph:933071abe662_133":{"__typename":"Paragraph","id":"933071abe662_133","name":"9440","type":"H4","href":null,"layout":null,"metadata":null,"text":"The Blueprint for Vantage-Driven Intelligence","hasDropCap":null,"dropCapImage":null,"markups":[],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"Paragraph:933071abe662_134":{"__typename":"Paragraph","id":"933071abe662_134","name":"af34","type":"P","href":null,"layout":null,"metadata":null,"text":"These five principles should be considered as part of a broader shift from conversational AI toward agentic intelligence. The first-person interface gave us direct control, the second-person interface gave us relatable dialogue, but the third-person top-down interface will give us systemic insight — By adopting spatial layouts, resource dashboards, task queues, event logs, and governance panels, we stop wrangling agents through chat threads and start managing them like living, dynamic systems.","hasDropCap":null,"dropCapImage":null,"markups":[{"__typename":"Markup","type":"STRONG","start":0,"end":121,"href":"","anchorType":"LINK","userId":"","linkMetadata":null}],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"Paragraph:933071abe662_135":{"__typename":"Paragraph","id":"933071abe662_135","name":"dece","type":"P","href":null,"layout":null,"metadata":null,"text":"After all, if you wouldn’t manage an empire through a dozen open messenger apps, why try to manage AI societies that way? The god’s-eye view might be the natural vantage for orchestrating intelligence at scale.","hasDropCap":null,"dropCapImage":null,"markups":[{"__typename":"Markup","type":"EM","start":126,"end":140,"href":"","anchorType":"LINK","userId":"","linkMetadata":null}],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"Paragraph:933071abe662_136":{"__typename":"Paragraph","id":"933071abe662_136","name":"a069","type":"H3","href":null,"layout":null,"metadata":null,"text":"Cryptoeconomic Considerations","hasDropCap":null,"dropCapImage":null,"markups":[],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"Paragraph:933071abe662_137":{"__typename":"Paragraph","id":"933071abe662_137","name":"c48b","type":"P","href":null,"layout":null,"metadata":null,"text":"Multi-agent systems, when scaled, will become miniature economies of computational labor. Agents request resources, execute tasks, produce outputs, and sometimes even collaborate or compete with each other. This complexity demands more than conversation logs and dashboards; it requires cryptoeconomic principles — like stake-based accountability and transparent function orchestration — to maintain trust and efficiency. The god’s-eye vantage can bridge between interface intuition and cryptoeconomic rigor.","hasDropCap":null,"dropCapImage":null,"markups":[{"__typename":"Markup","type":"STRONG","start":0,"end":89,"href":"","anchorType":"LINK","userId":"","linkMetadata":null},{"__typename":"Markup","type":"STRONG","start":207,"end":312,"href":"","anchorType":"LINK","userId":"","linkMetadata":null}],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"Paragraph:933071abe662_138":{"__typename":"Paragraph","id":"933071abe662_138","name":"ec3f","type":"P","href":null,"layout":null,"metadata":null,"text":"If we take a moment to ponder on how this future might look, it might reveal to us some insightful considerations.","hasDropCap":null,"dropCapImage":null,"markups":[],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"Paragraph:933071abe662_139":{"__typename":"Paragraph","id":"933071abe662_139","name":"c97d","type":"H4","href":null,"layout":null,"metadata":null,"text":"Revelation 1: Zero-Knowledge Courts as Verifiable Truth in a World of Autonomous Actors","hasDropCap":null,"dropCapImage":null,"markups":[],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"Paragraph:933071abe662_140":{"__typename":"Paragraph","id":"933071abe662_140","name":"3f20","type":"P","href":null,"layout":null,"metadata":null,"text":"In multi-agent ecosystems, bad actors or malfunctioning agents aren’t just theoretical risks. Misreporting data, claiming false task completion, or exceeding resource quotas can disrupt workflows and waste resources. Traditional oversight requires exhaustive audits; cryptoeconomic protocols solve this with verifiable proofs.","hasDropCap":null,"dropCapImage":null,"markups":[],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"Paragraph:933071abe662_141":{"__typename":"Paragraph","id":"933071abe662_141","name":"a4af","type":"P","href":null,"layout":null,"metadata":null,"text":"Imagine clicking on the “Court Panel” in the AUI. Here’s what you’d see:","hasDropCap":null,"dropCapImage":null,"markups":[],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"Paragraph:933071abe662_142":{"__typename":"Paragraph","id":"933071abe662_142","name":"5d5a","type":"ULI","href":null,"layout":null,"metadata":null,"text":"Suspicious Agent Detected: An agent claims to have extracted 1,000 data points from a source but provides no proof.","hasDropCap":null,"dropCapImage":null,"markups":[{"__typename":"Markup","type":"STRONG","start":0,"end":26,"href":"","anchorType":"LINK","userId":"","linkMetadata":null}],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"Paragraph:933071abe662_143":{"__typename":"Paragraph","id":"933071abe662_143","name":"f169","type":"ULI","href":null,"layout":null,"metadata":null,"text":"Zero-Knowledge Proof Display: The system presents a zk-proof of the agent’s task execution without revealing raw data, preserving privacy while confirming integrity.","hasDropCap":null,"dropCapImage":null,"markups":[{"__typename":"Markup","type":"STRONG","start":0,"end":29,"href":"","anchorType":"LINK","userId":"","linkMetadata":null}],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"Paragraph:933071abe662_144":{"__typename":"Paragraph","id":"933071abe662_144","name":"4820","type":"ULI","href":null,"layout":null,"metadata":null,"text":"Stake-Slashing Interface: If the agent’s claim is proven false, its staked tokens are partially slashed as a penalty. 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Operators wouldn’t need to sift through cryptographic hashes; they could see a transparent case file, a verdict, and a consequence.","hasDropCap":null,"dropCapImage":null,"markups":[{"__typename":"Markup","type":"A","start":82,"end":88,"href":"https:\u002F\u002Fkleros.io","anchorType":"LINK","userId":"","linkMetadata":null}],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"Paragraph:933071abe662_148":{"__typename":"Paragraph","id":"933071abe662_148","name":"7ee2","type":"P","href":null,"layout":null,"metadata":null,"text":"Why it matters: In open systems, agents might belong to external parties who profit from misinformation or resource overuse. 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If something breaks, the AUI highlights the failing node and suggests corrective actions. If an agent goes rogue — say, spamming expensive function calls — it flags the event and, if necessary, refers the incident to the cryptoeconomic court.","hasDropCap":null,"dropCapImage":null,"markups":[],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"Paragraph:933071abe662_158":{"__typename":"Paragraph","id":"933071abe662_158","name":"1a50","type":"P","href":null,"layout":null,"metadata":null,"text":"Why it matters: Function orchestration is the operational core of multi-agent systems. AUI tools that treat function calls like task units would allow users to understand and adjust complex workflows intuitively. 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Multi-agent workflows often feel like black boxes: tasks vanish into the system, and results appear with little visibility into intermediate steps. The third-person, god’s-eye interface changes that dynamic. Concretely, it delivers:","hasDropCap":null,"dropCapImage":null,"markups":[],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"Paragraph:933071abe662_161":{"__typename":"Paragraph","id":"933071abe662_161","name":"dc10","type":"ULI","href":null,"layout":null,"metadata":null,"text":"Reduced Complexity: Instead of juggling chat threads, operators track tasks, resources, and agent interactions from a single dashboard. 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Zero-knowledge proofs, stake-based penalties, and distributed courts provide the trust infrastructure; spatial dashboards, function maps, and task queues provide the cognitive infrastructure. Together, they form the foundation of the future orchestration of artificial intelligent societies.","hasDropCap":null,"dropCapImage":null,"markups":[{"__typename":"Markup","type":"STRONG","start":0,"end":82,"href":"","anchorType":"LINK","userId":"","linkMetadata":null}],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"Paragraph:933071abe662_170":{"__typename":"Paragraph","id":"933071abe662_170","name":"4d28","type":"P","href":null,"layout":null,"metadata":null,"text":"Historically, societies evolved courts and maps in parallel to manage growing complexity. 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In technology, perspective will enable us to grasp the emergent behaviors of artificial intelligent societies — fleets of specialized models collaborating across tasks, resources, and tangible stakes with real world effects. The age of chatting with solitary AIs is ending. We are not alone in the cyberspace anymore. The era of overseeing digital fleets of synthetic peers has just begun.","hasDropCap":null,"dropCapImage":null,"markups":[{"__typename":"Markup","type":"STRONG","start":93,"end":317,"href":"","anchorType":"LINK","userId":"","linkMetadata":null}],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"Paragraph:933071abe662_176":{"__typename":"Paragraph","id":"933071abe662_176","name":"4e85","type":"P","href":null,"layout":null,"metadata":null,"text":"The challenge ahead is as thrilling as it is necessary. The tools we use today — chat threads, linear logs, fragmented dashboards — weren’t built for multi-agent concurrency. We need new design patterns that embrace third-person vantage: spatial layouts, task orchestration, live event streams, and cryptoeconomic governance panels.","hasDropCap":null,"dropCapImage":null,"markups":[{"__typename":"Markup","type":"STRONG","start":0,"end":55,"href":"","anchorType":"LINK","userId":"","linkMetadata":null}],"codeBlockMetadata":null,"iframe":null,"mixtapeMetadata":null},"Paragraph:933071abe662_177":{"__typename":"Paragraph","id":"933071abe662_177","name":"9e7b","type":"P","href":null,"layout":null,"metadata":null,"text":"In a few years, we may sit in front of a single interface that shows an entire society of agents in motion: research agents synthesizing new findings, operational agents handling tasks across functions, dispute-resolution agents arbitrating conflicts via cryptoeconomic protocols. We’ll tweak resource flows with a slider, allocate tasks with a simple drag-and-drop, and watch as agentic collectives autonomously optimize workflows across industries. 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