For PMs who want to improve their analytical skills and decision making.
Manual QA cannot scale for non-deterministic AI products. Learn how PMs build synthetic evals and LLM-as-a-Judge frameworks to automate AI testing.
You cannot measure an AI feature using standard software metrics. Discover the AI-specific telemetry needed to measure edit rates, trust, and token economics.
Data debt is the AI equivalent of technical debt. Learn how poorly labeled datasets cause hallucinations, and how PMs can govern data quality in 2026.
A/B testing is universally praised, but deeply misunderstood. Here is when to use it, and more importantly, when to trust your gut instead.
Stop looking at vanity metrics. Here is how to find the numbers that actually dictate the physics of your product.