Course · Skool community · 10 lessons

Use AI to research your money. Make the call yourself.

Most people ask AI "what should I buy?" and get a confident, unsourced guess. This course teaches the other way: build your own AI research system that reads the documents, sorts the news and flags what changed, so you decide with better information.

Join on Skool — $49 Watch Lesson 1 free

One-time payment · lifetime access · no coding needed · educational content, not financial advice

Same AI. A completely different question.

The difference between a guess and real research isn't the model you use. It's what you give it and what you ask it to do.

✕ The guess
  • "Should I buy [hot stock]?"
  • An answer from the model's memory, possibly out of date
  • No source you can check
  • Confident tone, unknown accuracy
✓ The research
  • "Here's the Q3 transcript. List the 3 risks management raised, with the exact quote for each."
  • Built on the actual document you provided
  • Every point traceable to a line
  • The decision stays with you

Watch the first lesson free.

Lesson 1 introduces the 3-layer system the whole course is built on: data, synthesis, and your view. If it clicks, the other nine lessons build it out step by step.

Try one prompt from Lesson 1, right now.

Every lesson comes with copy-paste prompts, a one-page cheat sheet and one action to take straight after watching. Here's the first prompt from Lesson 1. Paste it into ChatGPT or Claude with a money question you've been meaning to ask.

Lesson 01 · Turn a guess into research
Here is a question I was going to ask you:
"[YOUR QUESTION, e.g. Should I buy X?]"

Don't answer it. Instead, rewrite it as 3 research
questions I could answer with real documents
(earnings transcripts, filings, central bank
statements). For each one, tell me which document
I'd need to give you.

The other nine lessons include 16 more prompts like this one: for your research workspace, a daily news briefing, earnings calls, a portfolio tracker, catching AI's wrong numbers and a weekly review.

Lesson 1 cheat sheet: the 3-layer research system
The Lesson 1 cheat sheet. Every lesson has one.

Ten short lessons. One working system.

Each lesson is a few minutes long and filmed screen by screen, so you can follow along and build as you watch.

  1. 01
    AI isn't your oracle
    The 3-layer research system, and why "should I buy" is the wrong question.
  2. 02
    Build your AI workspace
    A Claude or ChatGPT Project that remembers your sources and watchlist, with instructions that keep AI in its lane.
  3. 03
    Skip the Bloomberg terminal
    Five free, reliable sources and the prompt formula to analyse them.
  4. 04
    The geopolitics dashboard
    Turn the day's headlines into a 5-minute briefing: signal, watching, noise.
  5. 05
    Read earnings like an analyst
    Three prompts that surface what changed between calls and where management is hedging.
  6. 06
    Your portfolio, tracked
    Allocation at a glance, your own notes on each holding, and a concentration flag.
  7. 07
    AI will lie to you
    The 2-minute verification habit that catches confident wrong numbers.
  8. 08
    Alerts, not doomscrolling
    Track what's scheduled, ignore the rest until your weekly review.
  9. 09
    The Sunday ritual
    A 20-minute weekly review that makes the whole system stick.
  10. 10
    Your call, not the algorithm
    What AI does, what only you do, and a checklist to run before any decision.

What you see on screen.

Real dashboards, prompts and templates from the lessons. You keep them and adapt them to what you track.

Screens from the course: a portfolio tracker, an earnings-call comparison and a daily news briefing

Who this is for.

Same honesty pattern as every course on this site: you should know what you're not getting, not just what you are.

This is for you if
  • You invest or follow markets and want to research faster
  • You already use ChatGPT, Claude or Gemini, or want to start
  • You'd rather understand the information than follow tips
  • You want a simple weekly routine, not a second job
This isn't
  • Financial advice or stock picks
  • A trading signals group
  • A "get rich with AI" course
  • A coding course: you won't write code

One price. The whole course.

Join the Skool community, unlock the course, and keep it.

Build Your AI Research System
$49 · one-time payment · lifetime access
  • 10 video lessons, filmed screen by screen
  • 17 copy-paste prompts and the templates shown in the lessons
  • A one-page cheat sheet for every lesson
  • One "do this now" action after each lesson, so you build as you go
  • Access to the AI for Your Finances community on Skool
Join on Skool — $49
Prefer 1:1?

If you want help setting this up on your own portfolio, sources and tools, book a 50-minute session with me instead.

Book a 1:1 session — 49€

Questions people ask first.

Is this financial advice?

No. The course teaches you to research with AI: how to find reliable sources, organise information and check AI's answers. It never tells you what to buy, sell or hold. Every decision stays yours.

Do I need to know how to code?

No. Everything is done in tools like Claude or ChatGPT with plain-language prompts. If you can write an email, you can follow the course.

Which AI tool do I need?

Claude or ChatGPT both work, and the lessons show where each fits. A free account is enough to start; a paid plan helps with longer documents.

Is it a subscription?

No. It's a one-time payment of $49 on Skool, with lifetime access to the course.

Can I try it before paying?

Yes. Lesson 1 is free on this page and on YouTube. If the approach makes sense to you, the rest of the course builds on it.

How do I access the lessons?

After joining on Skool, open the Classroom tab. The lessons are there, along with the templates. Skool also has a mobile app if you want to watch on your phone.

AI organizes. You decide.

Ten short lessons, a working research system at the end, and a community doing the same work.

Join on Skool — $49 Watch Lesson 1 first

Educational content only. Not financial advice. Examples in the course use fictional companies and illustrative data.

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