From Notebook to Production — Why GenAI Needs LLMOps
FreeTH2PR1PNW2An AI Integration Manager who ships a prompt that works in a notebook but hallucinates in production learns the hard way why LLMOps is the real job.
- What LLMOps is and the gap between a demo prompt and a production agent
- The GenAI lifecycle: build, evaluate, deploy, monitor, retrain prompts
- Where agent projects fail after the demo (drift, cost, hallucination)
- Audit a sample agent notebook for three production-blockers (hardcoded keys, no evals, unbounded cost)
- List the steps it would take to run that agent reliably for another user
- Write a one-page 'demo to production' gap report for a sample GenAI agent
- Micro-task: submit your gap report