AI agents impress in a demo, but production is a different game. This session is about the gap between the two, and the handful of decisions that close it.
What we will cover
We will walk through how we scope an agent to a single, clearly defined job, instrument it so its decisions are visible, and build in the fallbacks that turn a stumble into a small, recoverable moment rather than an outage.
Who it is for
Founders, engineers, and product leaders who are curious about agents and want a grounded view of what it actually takes to run one in front of real users.
What you will take away
- Choosing the right job for an agent to own
- Making every decision observable
- Designing graceful fallbacks and human handoffs
- A live look at an agent running in production
Hosted by Okoye Bilikha.
