Rajan Mishra
Architecting production RAG pipelines and autonomous multi-a
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"Can I upgrade our payment service from v2 to v4 tonight?"
Engineers propose production changes like this based on partial mental models. The facts that invalidate the plan are already documented — but scattered across release notes, migration guides, and stale architecture docs.
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Most AI agents break in production for one simple reason:
Teams dump raw OCR and unverified context directly into an LLM, hoping the prompt will magically prevent hallucinations.
It doesn’t. You get garbled tables, missed math, and fabricated citations.
To solve this, I built a...
