Free Lesson
Build a Semantic Layer So AI Defines Your Metrics
Part of Build Your AI Product Analyst
60 min
Sep 9, 2026 1:00 PM
What you'll learn
Define joins, metrics, and terms once
Write down what "active user" and "retention" mean, plus how the tables join, in one place the AI reads every time.
Make every AI answer use the same logic
Point the agent at your semantic layer so it computes the same number the same way, no matter who asks.
Stop arguing about whose number is right
Kill the "my dashboard says 40, yours says 32" fights by giving every query one shared source of meaning.
Keep it current as the data changes
Update a definition in one file and every future AI answer picks it up, no rewriting prompts or dashboards.
Why this topic matters
Everyone on your team defines retention differently, and AI makes that worse. Ask three people, or three chat sessions, and you get three numbers, all confidently wrong. The fix is one place that says what each metric means and how tables connect: a semantic layer. Once it exists, AI stops guessing and computes your metrics your way, every time. This session builds a starter one live.
