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Taking AI Agents From Demo to Production
Building an LLM agent that works in a notebook takes a day. Getting it reliable in production takes weeks. This episode unpacks the invisible infrastructure gap that tutorials skip: full-stack observability, prompt versioning as a safety problem, A/B testing with non-deterministic models, canary deployments, rollback strategies, and the human oversight question nobody wants to answer. We walk through real failure modes from production incidents, the tools that catch them, and the organizational structures that prevent them from happening again. Episode 2185 — myweirdprompts.com/n/2185…
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