Digital asset

Build Your AI Analyst: The Agentic Analytics Playbook + 3 Guides

AI Analyst Lab

Teaching builders to do real product analysis with AI. No SQL, no Python.

You can point an AI at a dataset and get a chart in ninety seconds. That part is solved. Three things are not. The tool has to exist on your machine first, and the first hour of setup is where most people quit. Once it works, almost nobody sees how it works, so it stays magic instead of something you can change. And a fast answer is not a correct one: a wrong answer looks exactly like a right one, same clean chart, same confident tone, same speed. These four guides cover all three, in plain English, with every term glossed the first time it appears.

What's inside

The Agentic Analytics Playbook (32 pages). The flagship. Set up the analyst, open the box and see how it runs, then make its answers safe to act on.
Set Up Your AI Analyst in an Afternoon (14 pages). Empty laptop to working analyst in six steps, plus the free starter kit and your first real analysis.
The Agentic Analytics Pipeline (13 pages). Skills versus agents, the six phases every good analysis passes through, the orchestrator, and the six-step pattern for building your own.
Making the Answers Trustworthy (14 pages). Seven tools for checking a confident answer, including reliability testing, the validation map, the confidence receipt, and using a second model as a cheap second opinion.

What you'll be able to do

Go from an empty laptop to an AI analyst running real analysis on your own data, in one sitting.
Read and edit the plain-English instruction files that make it work, so it stops feeling like magic.
Tell a skill from an agent, and build your own piece of the pipeline without writing code.
Ask the same question five times and read how much the answers disagree, which needs no correct answer to run.
Attach a confidence receipt to any number before you send it, and know when to go get a second model's opinion.

What you need

Reading all four guides costs nothing and needs nothing installed. If you want to build along with Part One, you need a laptop and a Claude subscription. No coding experience, no terminal experience, and no data team required.

Who it's for

Product managers, designers, engineers, and founders who are tired of waiting on a data team and want their own analyst. Every example runs on one made-up online store called NovaMart, explained from scratch, so you can follow it with no background at all.

Free

Four free guides on building an AI analyst on your own machine and trusting what it hands back. 73 pages, no coding.