TechDataCenters
Live demo: https://data.controlnautas.com/ BlackboxDC Twin Repair helps a data-center operator avoid an unsafe decision based on an outdated wiring map.
Core trick
A Critic agent compares the digital twin's render with an updated wiring drawing and repairs cable links before an independent check of feeder limits.
Description
Live demo: https://data.controlnautas.com/
BlackboxDC Twin Repair helps a data-center operator avoid an unsafe decision based on an outdated wiring map. Rack N4 is overheating, so the operator must move an 8 A-equivalent workload. The old digital twin recommends N3, but an updated electrical drawing shows that N2 and N3 were rewired.
Two Gemini 4 Argon Managed Agents work in separate sandboxes: Builder constructs the old 3D twin; Critic compares its render with the updated drawing and repairs the cable connections. An independent verifier then tests the decision. Moving the load to N3 would put feeder F1 at 48 A, above its 44 A limit. The repaired twin recommends N2, keeping F1 at 40/44 A and F2 at 28/50 A.
The web demo shows the wiring change, agent work, and before/after decision. This is a simulation; a human approves any real-world action.
please make the following steps in the website:
1. Look at rack N4: it is overheating, and the operator must move an 8 A-equivalent workload.
2. Select “N2 and N3 rewired” and click “Simulate a new as-built drawing.” This represents today's wiring, which differs from the old digital twin.
3. Choose “Fast” and click “Ask Argon to inspect and repair.” Open “Agents live” to watch the Critic check the drawing and repair the twin.
4. Return to “Decision” and compare Before / After. Try “Move 8 A to N3,” then “Move 8 A to N2.” The old choice overloads F1 (48/44 A); the repaired choice keeps F1 at 40/44 A.
5. Open “Evidence” to inspect the verification. This is a simulation; a human must approve any real-world action.
If the live run is unavailable, open the recorded full two-agent run shown on the page.
README excerpt
<!-- pdf-ignore-start --> <h1 align="center">⚡ BlackboxDC</h1> <p align="center"> <strong>Can an AI read an electrical diagram, find the overheating rack, and move the load to the right place — provably?</strong> </p> <p align="center"> We hand a <strong>Gemini 4 Argon</strong> agent a data-center wiring diagram plus thermal images showing a dangerous hotspot on server rack N4.<br/> The agent must figure out <em>which</em> rack is overheating, <em>why</em> (bad connector vs poor cooling), and <em>where</em> to safely redirect 8 A of electrical load — a decision that prevents equipment damage.<br/><br/> Then we <strong>swap two wires on the diagram</strong>. The correct answer flips. <strong>The AI gets both right.</strong><br/><br/> A second AI agent, running in a <strong>completely separate sandbox</strong>, independently verifies every step.<br/> Every claim is <strong>cryptographically sealed</strong> (SHA-256 hash chains) and can be verified offline with zero API keys. </p> <p align="center"> <img src="docs/cover.jpg" alt="BlackboxDC Twin Repair: a 3D data-center aisle with racks N1–N4, the N4 connector at 89°C, and a panel to change today's wiring drawing" width="100%" /> <br/><sub>The live demo: the 3D twin shows a hot N4 connector and an outdated wiring map. Change today's drawing, then Argon compares it with the twin before the cables move.</sub> </p> <p align="center"> <a href="#2-core-technical-result"><img src="https://img.shields.io/badge/%E2