AI evaluation case studies

Case studies of real product teams shipping AI features: what their evaluation loop looked like, where it failed, and the specific changes that moved the number. No sanitised keynote versions — the parts that were hard, too.

Article10 JUN 2026

Why AI features fail: the silent failure problem

Only 7.8% of teams say their shipped AI features delivered measurable impact. Why AI features fail silently, why teams don't notice, and how to catch it before users leave.

Madalina Turlea

Newsletter13 APR 2026

Lessons from one year of AI product building

Key insights from building AI products over the past year.

Madalina Turlea

Article15 JAN 2026

Building an expense-policy AI agent: what we learned reverse-engineering Ramp

Three prompts, six models, 126 runs. What we learned trying to reverse-engineer Ramp's expense-policy AI agent — including why a more detailed prompt actually made GPT-5 worse.

Madalina Turlea

Article15 JAN 2026

Infinite personalization without the AI slop

AI lets you personalize content infinitely — and slip into generic slop just as easily. The two failure modes to watch for, and why feeding the model your real data is the difference between insight and filler.

Madalina Turlea