AI Agents Need a Flight Recorder, Not Just a Demo

Schneider Electric published a new AI at Scale podcast episode on October 26, featuring Sam Crowder, Head of Product at LangChain. Its published description focuses on observability, evaluation and informed model choices as agents move toward real-world workflows. Read the episode details.

My take: visibility is necessary, but it isn’t proof of value. For one narrow customer task, trace what the agent does, check whether the task was completed as intended, and agree in advance when a person should step in—or the trial should stop. Keep a human accountable for the outcome.

What evidence would convince your team an agent is helping users, rather than merely generating activity?