@vamsikrishna981
About
I’m Vamsi, a builder focused on production AI systems. I write Production AI Field Notes to break down the architecture behind reliable LLM apps, RAG, agents, multi-agent workflows, evaluation, observability, safety, and governance.
My goal is simple: help builders move beyond impressive AI demos and design systems that can be tested, operated, trusted, and improved in the real world.
Available for
AI system architecture reviews, RAG and agent workflow design, production-readiness audits, technical writing, consulting, workshops, and collaboration on practical AI products.
Vamsi Krishna's blogs
Comments
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Exactly. That question, “what happens when the model is wrong?”, forces the real production concerns into the open early: evaluation, fallbacks, confidence thresholds, human review, monitoring, and ownership. In practice, that is where trust is built. Model choice matters, but reliability is what users actually feel. Appreciate you adding this perspective.