Auditing & Trusting Agent Output

The better your agent gets, the harder it is to spot what it actually got wrong—and most people only audit the product, not the trajectory. In this session, you'll learn why traditional evals miss half the story, then build your own lightweight audit criteria in real time. Walk away with explicit dimensions you can score yourself against before you ship anything.

Why attend

• Flip the Audit Mindset — Discover why checking the output alone is a false confidence signal. Learn to audit both the product and the path, and catch failures that look like wins on the surface.
• Turn Evals Into a Design Problem — Stop thinking like a data scientist. You already know how to design for user experience; evals are the same skill applied to agent behavior. Build criteria that catch real problems without turning verification into a tax on productivity.

What you’ll experience

• The Reframe That Changes Everything — See why the output is the product, but the trajectory is the receipt. A live walkthrough of how an agent can produce correct-looking results via broken or unsafe paths—and why most people miss it. You'll never audit the same way again.
• Build Your Eval Criteria — Write explicit "good" and "bad" examples from your own work, then translate them into scorable criteria. Real criteria. For real problems.
• Debrief the Felt Experience — Share what you built and why you built it. Hear how others are approaching the same problem. Leave with a concrete rubric you can hand to your team or bake into your agent's self-check.