Weekly Multi-Agent Reports
Weekly manufacturing reports written by an AI and fact-checked by a second AI — running locally on a laptop, no cloud infrastructure to set up.
Customer-facing reports need to be factually right. But LLMs hallucinate — they'll confidently invent numbers, twist methodology, or call trends that aren't there. Most pipelines write the report first and (maybe) check it after — which is too late: once a wrong number is in front of a customer, the trust hit is irreversible.
Weekly reports run on autopilot, with a separate AI agent sitting between the writer and the published page. It checks every numeric claim against the underlying data before any HTML is rendered — bad claims trigger an auto-fix or halt the run, so wrong numbers don't reach customers. Built end-to-end with Claude Code and runs entirely on a laptop, so there's no cloud orchestration to maintain. Each report covers loss rate per productive hour, broken down by shift and by weekday, with the per-shift trend over time. It splits losses by cause (machine wait, material, operator absent, rework, changeover) and surfaces the LLM's top three suggested actions for the coming week.