AIDC-AI.IO Design Engine

# AIDC-AI.IO > AI Data Center Automation Tool and infrastructure design engine for source-backed 3D graph design. > Korean discovery phrase: AI 데이터센터 자동화 툴. > Korea live. Region-specific utility, AHJ, climate, and operations validation. ## Overview AIDC-AI.IO is an AI data center automation tool that creates and validates AI data-center designs as one EngineSession-backed 3D node-edge graph. In Korean search terms, it is an AI 데이터센터 자동화 툴 for data center design automation. The formal workflow is OPR -> BOD -> standards matrix -> IT load/rack model -> electrical topology -> cooling topology -> building/site fit -> code/AHJ/fire/security validation -> cost/procurement -> commissioning test matrix -> operations handover. The NVIDIA / OCP / Microsoft public AIDC facility reference set, vendor data, AHJ/code inputs, utility data, and owner inputs are evidence for that graph, not replacements for project-specific validation. No LLM in the engine itself — calculations and validation rows are reproducible and traceable to inputs. The intended AI-agent behavior is to analyze those public AIDC facility manuals and references, recombine them with the selected site, rackPlan, power, cooling, network, AHJ/code, cost, schedule, and procurement constraints, and present the strongest visual/system options rather than asking the user to browse raw catalogs. The public product exposes one EngineSession. People review the visual session through humanProjection and costSchedule read models; AI agents read and mutate the same OPR, BOD, standards matrix, rackPlan blocks, node/edge schemas, facilityFlowModel, SLD/Sankey/pandapower, BOM, estimate, costSchedule, validation rows, RFIs, and evidence refs over the graph/API surface. Human new-project flow: Site Finder first. Suitable or conditional sites create/save EngineSession and hand off to 3D Rack Viewer. The 3D Rack Viewer is the primary human visual session where recommended electrical, mecha

{"openapi":"3.1.0","info":{"title":"AIDC-AI.IO Engine & Agent API","version":"2026.07.13","description":"AI Data Center Automation Tool and infrastructure design engine for EngineSession-backed 3D graph generation and validation. Korean discovery phrase: AI 데이터센터 자동화 툴. The engine traces OPR, BOD, standards matrix, IT load/rack model, electrical topology, cooling topology, building/site fit, code/AHJ/fire/security validation, cost/procurement, commissioning, and operations evid