Panel: What Breaks When AI Products Meet Real Users
Grace Liu, Tom Achebe, Kwame Mensah, Aisha Rahman
- When
- Tuesday, September 153:15 PM – 4:00 PM · 45 min
- Where
- Main StageFort Mason Center, San Francisco
About this session
Four practitioners on the gap between the demo and the deployment: the failures that only appear at scale, the support burden nobody budgets for, and what they would build differently. Audience questions from the start.
Speakers (4)
AI Product Lead, Meridian
Grace has shipped AI features to twelve million users and killed about as many that never earned their place. She writes about interface design for systems that answer differently every time.
CTO, Forgeline
Tom co-founded Forgeline after leading platform engineering at two payments companies. He is the reason Forgeline had an evaluation suite before it had a marketing site.
Director of Engineering, Northwind Health
Kwame leads the clinical AI group at Northwind, where every model output is reviewed by a clinician before it reaches a chart. He is candid about what regulation does and does not actually slow down.
VP Engineering, Loomis
Aisha grew Loomis engineering from twelve people to ninety while shipping the company's first AI product. She writes mostly about the parts of that which went badly.
More in AI Engineering
- Test Data Is a Product: Fixtures for Nondeterministic SystemsTime to be announced
- Context Engineering in Production: What Actually Survives Contact With UsersTuesday, September 15 · 9:45 AM – 10:30 AM · Room 2A
- Your AI Pair Programmer Is Lying to You: Verification Patterns That ScaleTuesday, September 15 · 10:30 AM – 11:00 AM · Main Stage
- Multi-Agent Systems Are Just Distributed Systems (And That's Good News)Tuesday, September 15 · 11:15 AM – 11:45 AM · Main Stage
- Prompt Injection Is a Solved Problem (If You Do These Five Things)Tuesday, September 15 · 1:15 PM – 1:45 PM · Main Stage
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