Sprint Lesson
From ChatGPT to Production: Making AI Features Stick
The honest gap between a working demo and a shipped feature.
About this sprint lesson
Live 30-min session covering the five things that break when you move from an LLM demo to a production feature, and the cheap fixes for each. Examples from LangChain in production. Q&A on your specific stack.
About Rahul
Rahul Menon
ML Engineer & LangChain Core Contributor
Vetted by Maram
Rahul is a core contributor to the LangChain open-source project and an ML engineer who has built agent systems used by millions. He previously led AI infrastructure at a Series B startup and speaks regularly at NeurIPS and AI Engineer Summit.
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