Staging environment

Build AI Product Sense

Aman Khan

Arize AI, Spotify, Cruise, and Apple

Tal Raviv

Riverside, Patreon, Wix, and Appsflyer

Does this sound familiar?

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.

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 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)

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, 20K+ students

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

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.

Course syllabus

2 live sessions • 14 lessons

Week 1

Dec 5—Dec 6

    Dec

    5

    DAY 1: Claude Code, Cursor, and Codex as non-technical thinking partners

    Fri 12/55:00 PM—9:30 PM (UTC)

    DAY 1: Claude Code, Cursor, and Codex as non-technical thinking partners

    6 items

    Dec

    6

    DAY 2: What is an AI Personal OS and how to build one

    Sat 12/65:00 PM—9:30 PM (UTC)

    DAY 2: What is an AI Personal OS and how to build one

    8 items

Free resource

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

Reviews from our courses

Frequently asked questions