Free Lesson
Take an AI Prototype to Production
45 min
Oct 28, 2026 12:00 PM
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What you'll learn
How to find the failures that only appear with real users
Real inputs are messier than anything in your test set. Learn where the gap usually opens.
How to decide what to monitor once it is live
You cannot watch everything. Pick the few signals that tell you something is wrong.
How to roll back a bad version safely
Ship in a way that lets you undo it. Know what to put in place before you need it.
Why this topic matters
A prototype that works in a demo and a system that holds up with real users are different things, and the distance between them is where most AI projects stall. This session covers the failure modes that only appear in production, what to monitor once it is live, and how to undo a bad release without breaking everything around it.
