June 29 – July 2, 2026 · San Francisco, CA · imported from ai.engineer's public schedule feed

AI Engineer World's Fair 2026 — unofficial import demo

Unofficial demo. This programme was imported from the AI Engineer World's Fair's own public schedule feed to show vibeboard at real conference scale. Not affiliated with, or endorsed by, the organisers.

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AI in GTMSession

How Juries and Librarians Can Solve GTM's AI Trust Problem

Alex Bauer

When
Thursday, July 21:30 PM – 1:50 PM · 20 min
Where
Track 6San Francisco, CA · imported from ai.engineer's public schedule feed
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About this session

A couple of years ago, everyone worried about AI hallucinating. We rarely hear that word anymore, but it’s just because the problem grew up. Today, your AI still doesn’t know how to say “I’m not sure.” Instead, it hands you a revenue number that’s wrong in ways that look exactly like being right.

The good news is we already solved this once, for people: you onboard a new hire so they understand your business; you put subjective, high-stakes calls in front of more than one set of eyes. This talk walks through patterns we run at Upside, including a librarian every agent consults before it acts, a jury-and-judge model for the questions a single pass can’t be trusted to answer, and knowing when the model itself is just too dumb for the job. Live demos and real failures included.

Speaker

Alex Bauer
Alex Bauer

Co-founder, Upside

Alex Bauer is co-founder of Upside, the data layer for GTM engineers. He spent 2016–2024 at Branch as the public voice of mobile attribution and deep-linking. He now builds the clean, normalized GTM data that revenue teams point Claude and Cursor at to answer "what actually happened, and did it work?"

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