{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/dba6b4b722a84944b26d8c48b4530014\" frameborder=\"0\" width=\"1920\" height=\"1440\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1440,"width":1920,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1440,"thumbnail_width":1920,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/dba6b4b722a84944b26d8c48b4530014-b9c5dec25f39ce69.gif","duration":1592.758,"title":"ProdIQ AI Production Planning Agent Demo","description":"This Loom demonstrates Prod.IQ, an AI production planning agent for manufacturing companies that simulates scenarios and generates data-driven plans. The creator shows a Docker-based setup with a React TypeScript frontend, FastAPI backend, PostgreSQL, automated CSV column mapping using fuzzy matching and inference, bottleneck detection, weekly action timelines, narrative manager summaries, and downloadable six-page PDF reports. For performance measurement, the agent uses a five-layer scoring system including data specificity, bottleneck accuracy, and action specificity, and is benchmarked above 8,000 versus a plain Grok score around 2,700, with a layer breakdown of 1,500, 2,000, 1,581, 1,000, and 2,000 marks. The video also covers security practices with no API keys or secrets committed, loaded via a .env file and excluded from the repository."}