Build AI product sense by using AI agents for real work (start here)
58 free AI use case videos for product leaders
What if you were the person in the room who actually understands AI applications- not from flowcharts, but from daily hands-on use?
Most people use ChatGPT like a chatty Wikipedia or a Slack update generator... and wonder if they’re missing some secret prompt that only influencers know.
There’s a different way: treating AI as a thinking partner, a teammate, a colleague who knows your company strategy, remembers that conversation with your manager from last Tuesday, and can challenge your assumptions when everyone else has gone home.
When you get the foundations right (context, mindset, daily habits) AI becomes a force multiplier for everything you do.
Once you use AI daily for real work, you develop X-ray vision for AI products. Where others see magic, you see architecture.
I’ve helped over 20,000 product leaders build their intuition for AI applications this way, including at Apple, Google, Amazon, Microsoft, Meta, Netflix, and Stanford.
My students tell me they use their AI thinking partner every day, and it’s always open at work. They move so fast that leadership taps them to teach everyone else how they got so productive. (Two weeks after one student set this up and joined a new company, his CEO remarked, “It feels like you’ve been here for months.”)
Most importantly, they become that person in the room who actually understands AI applications. They build a reputation for saying ‘let me show you’ and demoing live. When Anthropic or OpenAI announce something new, they intuit it was coming because they already solved that exact problem last week.
How students use AI as a thinking partner:
Analyzing messy qualitative insights (while staying close to the raw data)
Simulating a hard conversation with a stakeholder (and then reverse-simulating it)
Uploading a meeting transcript and getting coaching + turning it into a simulation
Querying and navigating databases thoughtfully
Understanding their team’s codebase (even if non-technical)
Asking “what’s the single most important thing I should do right now?”
Getting challenged on their thinking when everyone else has gone home
Spinning up functional prototypes with plain English
Building tailored AI workflows for their team’s actual pain points
Making context engineering a team sport so when one person levels up, everyone does
You don’t need magic spell prompts or social media hacks. You just need a quiet moment to get hands-on.
How to build your AI thinking partner:
1. Read my hands-on tutorial in Lenny’s Newsletter for getting started in ChatGPT projects, Gemini Gems, MS Copilot, or Claude projects
From there, follow your curiosity and explore the 58 free video demos.
Start by setting it up in ChatGPT projects (or Cursor/Claude Code!):
Then put your AI thinking partner to work:
Build your intuition for the building blocks of AI engineering:
2. Stay in the loop
Get notified when I publish new tutorials and guides:
3. Build together
If you got this far, you’re in the top 5% of people leaning into AI agents for real work (even if it doesn’t feel that way, trust me).
To go deeper, join me for a live Maven cohort. To get your team on board, let’s plan a build sprint.
About me
“I believe the future of product management looks like Tal Raviv.” - Lenny Rachitsky
Hi, I’m Tal 👋 I was Patreon’s first growth PM, where my team increased paid conversion by 31% over tens of millions of consumers, virally reached 9 million social feeds in one week, and our methods became part of the Reforge curriculum. I was also the founding PM of the Patreon API, which powers products at Spotify, Reddit, and Discord.
At AppsFlyer, I PM’d the engine powering TikTok’s mobile links, and the data feeds powering Amazon. Most recently, I was Riverside’s first PM, leading an AI product used by Spotify, Marvel, TED, NYTimes, and Apple to interview guests like Mark Zuckerberg, Michelle Obama, Bill Gates, and Taylor Swift.
I started my career by co-founding a profitable SaaS company, and working with the founders of Wix and DuckDuckGo.
But here’s what I left off that resume: 18 months after ChatGPT launched, I still wasn’t using AI at work... like at all.
My team and I were building AI products used by tens of thousands of people. But when it came to using AI in my own job, I was a proud Luddite.
When I tried using ChatGPT, I found it disappointing for strategic work, more like consulting a chatty Wikipedia. Deep down, I felt discouraged that I didn’t know the exact magic spells of prompting that only influencers seemed to know.
Then I hit a wall at work. That’s when I finally figured out what was missing: context, mindset, and daily habits that elevated AI to a teammate.
Since then I’ve been a guest on Lenny’s podcast and featured 3X in the newsletter. My workshop with Aman Khan, “Build AI Product Sense,” hit #1 on Maven, with students from Stripe, Figma, Nike, JP Morgan Chase, McKinsey, LEGO, and every company in MAANG.
These days I try to share as much as I can for free, and you’ll find it all here. If you want to go deeper or bring your your whole team along, let’s plan an AI build sprint.
Outside of work, I volunteer as a surf instructor for people with disabilities 🏄♀️
Reach me on LinkedIn or talsraviv at gmail.com.