I designed and am actively developing OMNI, a local-first AI-assisted engineering platform that transforms natural-language mission requirements into structured, reviewable engineering outputs. OMNI coordinates specialized software agents across robotics, mechanical design, electronics, physics, validation, and technical documentation. Its mission pipeline can interpret an engineering objective, route work to the appropriate specialists, evaluate candidate concepts, calculate reliability metrics, identify risks, and generate traceable artifacts for further development. The platform integrates a FastAPI backend, React/Vite command interface, structured data models, mission knowledge graphs, reliability gates, provenance tracking, and automated testing. OMNI can currently produce starter deliverables for ROS 2 packages, Fusion 360 scripts, KiCad projects, wiring documentation, power budgets, design dossiers, validation reports, and mission summaries. A major focus of the project is ensuring that AI-generated engineering work remains understandable and auditable. Instead of presenting an untraceable answer, OMNI records which components contributed to a result, why decisions were made, what evidence is available, and what the operator should do next. The long-term vision is to develop OMNI into a multidisciplinary engineering laboratory assistant capable of supporting the full workflow from early requirements and system architecture through simulation, electronics, CAD, robotics integration, testing, and fabrication planning.