Build AI Product Sense

Aman Khan

Arize AI, Spotify, Cruise, and Apple

Tal Raviv

Riverside, Patreon, Wix, and Appsflyer

This course is popular

50+ people enrolled last week.

Build your personal OS in Cursor & Claude Code—to learn AI technical foundations

You're using ChatGPT daily, but still feel like an outsider when engineers discuss context management, RAG pipelines, and agent memory. The gap is widening daily, and then Meta announces a new PM interview: "Product Sense with AI."

Half of product sense is knowing your users. The other half? Deep intuition for the enabling technologies: what's easy, what's hard, and why.

Most courses teach AI through slides and flowcharts. We take the opposite approach: you'll build your personal OS using Cursor and Claude Code, the same "exposed wires" tools engineers use.

Why? Because using AI coding agents daily is like iterating on a suite of AI products with a user of one. The bottlenecks become visceral, the solutions intuitive.

In this radically hands-on workshop, you'll move from chat UIs to engineering tools, build a Personal OS for daily work, and realize you've built a portfolio using every AI primitive.

Result: X-ray vision for any AI product. When others see magic, you see architecture. You're known for saying "let me show you" and demoing live.

When Anthropic or OpenAI announce something new, you already intuited it was coming because you faced that exact problem last week.

What you’ll learn

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 strategy, analysis, and planning work (and repetitive tasks)

  • Build your Personal OS (task management, notes, workflows) that you'll actually use after the workshop.

  • Integrate 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.

  • Master technical concepts of AI through daily, hands-on habitual use

  • Speak confidently about tradeoffs and possibilities

  • Stay ahead as new primitives rapidly emerge and anticipate industry solutions (by facing the same problems yourself)

  • Deconstruct any AI startup into its primitives under the hood

  • Discern genuine innovation from marketing hype.

  • Ask simple, piercing questions that cut through jargon and buzzwords

  • Transform brainstorming conversations into functional prototypes you can immediately test.

  • Prompt coding agents to work self-sufficiently with minimal babysitting.

  • Share screen and build working demos live with confidence

  • 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)

Learn directly from Aman & Tal

Aman Khan

Aman Khan

AI Product leader at Arize AI, Spotify, Cruise, Zipline, and Apple

Apple
Spotify
Cruise
UC Berkeley
Arize AI
Tal Raviv

Tal Raviv

Early PM @ Patreon, Riverside, Wix, AppsFlyer

Patreon
Riverside.FM
Wix
AppsFlyer
DuckDuckGo

Who this course is for

  • C-suite executives and venture investors who need practitioner intuition to evaluate business models confidently.

  • Product builders who want to improve their technical intuition by building their personal AI systems.

  • Big Tech candidates preparing for AI product sense interviews, by building a portfolio of working AI systems they use daily.

What's included

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

Access to professional Engineers and AI PMs to help with debugging your product

You won't feel blocked by technical skills - we've had completely non technical PMs complete this material and push themselves to build functional AI Agents. We'll help you every step of the way.

Lifetime access to recordings and content

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.

Course syllabus

2 live sessions • 36 lessons

Week 1

Dec 5—Dec 6

    Dec

    5

    DAY 1 (4 hours with 30 min break)

    Fri 12/55:00 PM—9:30 PM (UTC)

    Dec

    6

    DAY 2 (4 hours with 30 min break)

    Sat 12/65:00 PM—9:30 PM (UTC)

    Syllabus

    36 items

Free lesson

Build AI product sense: vibe code your personal OS cover image

Build AI product sense: vibe code your personal OS

Earn credibility as an AI-native product manager

Use the same tools as engineers to develop product sense for "what's easy and what's hard" in AI

Build a portfolio of real AI products you personally use

Deploy a working AI system from raw AI building blocks that you use and iterate on daily

Live demonstrations you can replicate

We'll screen share and build complete systems during the session.

Extended open Q&A by +30 minutes

We've added a half hour beyond the calendar invite to make sure all your questions get answered.

Schedule

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.

Testimonials

  • I believe the future of Product Management looks like Tal Raviv

    Testimonial author image

    Lenny Rachitsky

    Author of Lenny's Newsletter and Lenny's Podcast, Investor
  • 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

    Testimonial author image

    Aakash Gupta

    ex-VP of Product for Apollo.io (Unicorn), 15+ yrs of experience

Students enrolled in our previous courses from

Lenny's Podcast: Becoming an AI PM

Lenny's Podcast: Becoming a Super IC

Reviews from previous students

Frequently asked questions

$1,499

USD

7 days left to enroll

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