Project Neuro is a personal AI operating system built as a single portable HTML file. No installation. No server. No dependencies. Open it in any browser on any device, and four AI models (Claude, ChatGPT, Gemini, and Grok) are immediately available as a coordinated team. The core insight behind Project Neuro is that a single AI, like a single human, is bounded by its isolated context window. The solution is not a better AI. It is a coordination layer: a human-directed system in which specialized models collectively hold more context, check each other's assumptions, and produce outputs that no single model could produce alone. When you send a prompt, all four AIs respond simultaneously. Then they automatically see each other's responses and react — challenging assumptions, building on strengths, and refining positions across configurable collaboration rounds. The final round produces a synthesized team position, not four isolated opinions. The document synthesis system takes this further. Ask for an analysis report and the system automatically runs multiple analysis turns, then a synthesis turn where Gemini produces a structured Word, PDF, or Excel document or a ZIP bundle of everything. One prompt. Multiple AI perspectives. Project Memory preserves context across sessions. The system detects significant decisions and insights automatically and injects them into every future session. The AI team always remembers without being re-briefed. Project Neuro was built by a non-coder — an MBA-holding supply chain professional with zero coding experience. Every line of code was written by AI under architectural direction. The same principles that govern world-class supply chain operations — modular components, iterative delivery, human-gated approval, graceful degradation — govern the system's architecture. Live tested: a SAP S/4HANA analysis produced a word report across five sections. A domain expert said the result exceeded what any single AI tool could produce.
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