Ex-PM turned AI-Native Product Builder
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🚨 Save 20% with this link
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💰 The most hands-on AI evals course you'll find under $500
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AI evals are the hottest skill an AI-native PM can have: more and more features run on an LLM, and their accuracy keeps competitors at bay.
The problem is where to start. Evals feel like an engineer's job, the information is scattered, the courses long and expensive.
Concrete practice, not slides. You run every eval on a live example: an agent sorting the real feature requests of Excalidraw, an open-source whiteboard app.
In 3 sessions of 1.5 hours, you go from zero to your own eval tool: a golden set, a scored system prompt, an LLM as a judge, then a tool you vibe code to run your AI evals.
No coding, no Claude Code knowledge required: the method works with any tool (Codex, Cursor...). I teach with Claude Code, the easiest way to apply them. We set up together in session 1.
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🛠️ 60% hands-on practice, 40% theory
📚 Lifetime access to recordings and future cohorts
✍️ Written review of your golden set and judge
🧪 A concrete example to replicate for any AI eval you run
🗂️ A GitHub boilerplate for your own evals
👥 A private Slack channel, even after the course
By the end, you can apply a robust and replicable evaluation method to any AI feature, as the PM who manages it or the Builder who ships it
What makes a good golden set of data
How to come up with the right criteria for your golden set
A real example: automatically categorizing Excalidraw's feature requests
The minimal tool stack for your first AI evals, low budget and few dependencies
A ready-made script that connects to hundreds of models via Vercel AI Gateway
How to visualize your results
How to derive the system prompt for your first run
How to analyze the results from your first run
How to leverage manual analysis to improve your system prompt
When you need an LLM as a judge
How to write a judge and check it against your own grades
Why you freeze the judge before improving the prompt
What an eval tool needs: grading, runs and history
How to plan it with Claude Code before any code is written
How to share your results with your dev team
How to reuse the method on your own AI feature
How to keep your evals honest over time
How to explain your results to your team and stakeholders
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Former Senior Product Manager, now founder of Vibe Coding Academy & AI educator
Product Managers, Product Owners and AI-native Product Builders who ship AI features and want proof that a change helped
Software engineers building LLM features who want a score next to every prompt version instead of a gut feeling
Leaders who steer product and tech teams on AI features, who want to talk evals with them, challenge on evidence and set priorities.
Taught with Claude Code, so Claude Pro is smoothest; Codex or Cursor Pro work too. Plus a laptop you can install on.
You have used Claude or ChatGPT and know what a prompt and an API are. No coding: session 3 is vibe coding, you direct.
We run every eval on Excalidraw's public issues, taught as a method: each step maps to your own AI feature, when you are ready.
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Live sessions
Learn directly from Jules Boiteux in a real-time, interactive format.
Personal written review
Jules reviews your golden set, your prompt and your judge after every session, with feedback specific to your own AI feature.
Lifetime access to course material
Every deck, plus the resources doc with ready-to-use prompts, step-by-step process instructions and the criteria templates.
Community of peers
Stay accountable and share insights with like-minded professionals.
Certificate of completion
Share your new skills with your employer or on LinkedIn.
Private cohort Slack channel
Ask questions, compare scores and unblock between sessions.
Lifetime access to recordings
Every session is recorded and stays yours for life.
A GitHub repo with the structure of a project you can learn from
A ready-to-clone repo with the project structure, the scripts to run any model through Vercel AI Gateway, the criteria and prompt templates, and the judge scaffold. Swap in your own data and you have your first eval running the same day.
Maven Guarantee
Your purchase is backed by the Maven Guarantee.
5 live sessions • 16 lessons • 3 projects
Nov
10
Nov
13
Nov
17
Nov
20
Live sessions
1-2 hrs / week
Each live session last 1h30
Tue, Nov 10
5:00 PM—6:30 PM (UTC)
Fri, Nov 13
4:30 PM—5:00 PM (UTC)
Tue, Nov 17
5:00 PM—6:30 PM (UTC)
Projects
1-2 hrs / week
After each session, an assignment applies the method to your own AI feature. Optional, but this is where it sticks. Jules reviews every submission and sends written, personalized feedback.
Session replays
1 hr / week
Every session is recorded. Rewatch the replay when you want to review a concept from class or catch up on a session you missed. Optional: about 30 minutes a week, depending on how much you want to revisit.
Maven for Teams
Reimbursement
Get your company to pay
Everything L&D needs: email template, receipts, and certificate of completion.
Get reimbursedTeam discount
Learn with your teammates
Save 20%+ when 2 or more teammates enroll in the same cohort.
Save 20%+ with a teamPrivate cohort
Run a cohort for your org
A dedicated cohort with a custom schedule and curriculum, tailored to your team.
Book a private cohort$499
USD