Markdown source

Advanced workshop: Mastering AI Observability

Conference Context

Session Description

Your AI is in production, but is it actually good? In this hands-on workshop, you'll learn how to uncover patterns in your production traces using Braintrust Topics, build custom scorers to target real issues, and systematically improve your agent. By the end, you'll have a repeatable eval workflow and trace-backed evidence that your AI is actually doing what you think it is.

Media Evidence

Evals 101 — Doug Guthrie, Braintrust (speaker-match related prior/adjacent AI Engineer video; captions: English auto-captions).

Evidence Graph

This evidence graph is generated from currently linked source material: official schedule text, related video pages, cached transcripts, visible slide text, dense/reconstructed slide pages, and AI slide-classification audits.

Media Signals

Agent Reading Notes

Use these signals to refine the synopsis, topic links, people/company context, and method notes. If a source is a related external video rather than an exact official recording, keep it framed as supporting evidence.

Transcript Status

Related video transcript availability: English auto-captions. Treat this as supporting context, not a recording of this exact scheduled session unless later confirmed. Cached at raw/sources/youtube-transcripts/bk0TmxoZlUY.txt (9,125 words).

People

Supporting Slides

Slide Evidence

Attendance Visibility

No high-confidence attendance icon signal is shown for this talk. The sampled video evidence was either low confidence, source-proxy-only, or did not expose a clear audience view.

Synthesis

Synthesized Breakdown

Hey everybody, my name is Doug Guthrie. Uh, I'm a solutions engineer at Brain Trust. Um, as you can see here, we're an endto-end developer platform for building AI products. We do evals.

Speaker And Company Context

Topics Covered

Derived Links And Source Material

Novel Concepts / Clever Methods

Evidence Boundary

This synthesis uses the official schedule plus cached video transcripts. Official AI Engineer World's Fair San Francisco 2026 livestreams and cut videos are primary event video sources for transcript/slide evidence; external, historical, or speaker-matched videos remain supporting context unless manually verified as exact official event recordings.