Arize AI, Spotify, Cruise, and Apple
Riverside, Patreon, Wix, and Appsflyer


You're watching everyone else confidently talk about AI products while you're still trying to figure out what's real versus hype. Influencers make it worse with endless buzzwords and diagrams that leave you more confused.
The fastest path to deep AI product intuition isn't slides and flow charts—it's getting your hands dirty with the raw ingredients, daily.
In this radically hands-on workshop, you'll use AI coding agents (Claude Code, Cursor, Codex, and MCP) for daily non-technical thinking, writing, and productivity. You'll improve your systems using the "exposed wires" instead of polished products, and develop a deep intuition for how all LLM products work under the hood.
Together we'll plainly see how every AI product is built from the same set of primitives. Once you understand these building blocks through hands-on use, nothing is magic anymore. You'll develop intuition to tear down any AI product, and confidently separate what's feasible from the Linkedin hype.
By using AI coding agents daily, you'll be the person others come to for AI insights, and positioned for the best opportunities as the field evolves.
Every session is intensely hands-on and practical
Build custom AI workflows for strategy, productivity, and prototyping using Claude Code, Cursor, and MCP.
Deploy agents that handle recurring tasks and focus on high-level thinking.
Deploy a Personal OS (task management, notes, workflows) that you'll actually use after the workshop.
Build custom productivity tools tailored to your workflow: kanban boards, automated meeting notes, or personal dashboards.
Establish a continuous improvement loop: use your products daily, identify failures, and iterate—the same cycle AI PMs use.
Identify the primitives under the hood of all LLM products
Discern genuine innovation from marketing hype.
Ask simple, piercing questions that cut through jargon and buzzwords
Speak intelligently about AI capabilities and limitations in meetings and strategy discussions.
Stay ahead by understanding the underlying technology, not just feature sets.
Position yourself as the go-to AI expert in your organization.
Transform brainstorming conversations with Cursor into functional prototypes you can immediately test.
Prompt coding agents to work self-sufficiently with minimal babysitting.
Iterate rapidly on AI solutions for your specific work challenges.
Set up collaborative workflows using Git, Dropbox, or Google Drive so your team can build AI-enhanced productivity systems together
Create reusable team templates and rules that encode institutional knowledge into AI-native documentation.
Solve real team pain points live, turning skeptics into advocates through results (not slides)
Leaders making AI decisions who need practitioner intuition to evaluate tools, investments, and product directions confidently.
Professionals ready to build their personal AI systems instead of only prompting ChatGPT.
Candidates looking to build a portfolio of working AI systems they actually use.
Live sessions
Learn directly from Aman Khan & Tal Raviv in a real-time, interactive format.
1:1 lifetime Whatsapp access
Ask us anything forever. Long voice messages welcome.
Build your own Personal OS
We'll help you with the nitty gritty and workflows so you have a portfolio of AI products you can take with you beyond the course
Lifetime access
Go back to course content and recordings whenever you need to.
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.
Maven Guarantee
This course is backed by the Maven Guarantee. Students are eligible for a full refund up until the halfway point of the course.
2 live sessions • 14 lessons
Dec
5
Dec
6
Live sessions
8 hrs
2 days x 4 hours each day (with 30 min break)
Fri, Dec 5
5:00 PM—9:30 PM (UTC)
Sat, Dec 6
5:00 PM—9:30 PM (UTC)
Zero homework
8 hrs
Unlike courses where you're expected to implement learnings on your own time, we build together IN the live sessions.
I believe the future of Product Management looks like Tal Raviv

Lenny Rachitsky
Watching Aman build an AI agent from scratch in Cursor while explaining evals, observability, and PM-eng collaboration was eye-opening. He doesn't just talk about AI PM skills - he shows you exactly how to develop them. Essential for any PM serious about AI

Aakash Gupta