Free Lesson
Agentic Analytics: What to Build First and How to Trust It
45 min
Oct 1, 2026 3:00 PM
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What you'll learn
Choose an analytics problem worth automating
Pick a recurring question with clear inputs, a useful output, and a result you can check.
See how an analytics agent gets from question to answer
Follow a live example using a small dataset, a clear metric definition, and reusable instructions.
Check the answer before someone acts on it
Catch a convincing but wrong answer by checking its sources, calculations, and assumptions. Know when to ask for review.
Why this topic matters
You have a recurring report or business question. Where should AI help, and how will you know its answer is right? I'll walk through one analytics workflow, from choosing the problem to checking the result. You'll see how missing context can produce a convincing but wrong answer, and what to check before sharing it. Leave with a practical way to choose your first project in Cursor, Claude Code, or Codex.
