Every AI PM Use Case in One Place – Curated by Tal Raviv

As product managers, one of the biggest challenges we face with AI today isn’t access — it’s focus. Every week, there are new tools, frameworks, and demos that claim to change the way we work. But where do you even begin? Which use cases are worth experimenting with, and which are just noise?

That’s where Tal Raviv has been a huge help.

Over the past year, Tal has been running live demos that showcase how PMs can actually use AI — not just in theory, but in real workflows. Recently, he consolidated every single one of these demos into a single place, organized by use case.

And the best part? It’s free.

Why this matters for PMs

When I think about AI in my daily work, I usually bucket my needs into four areas:

1. Productivity – speeding up execution and reducing manual overhead.

2. Analysis – combining qualitative and quantitative insights faster.

3. Soft skills – rehearsing conversations, framing decisions, or preparing for interviews.

4. Building AI intuition – moving from using AI to building with it.

Tal’s collection is structured in exactly this way, which makes it easier to dive into specific categories rather than get lost in the overwhelming sea of “AI for everything.”

What’s inside the collection

Here’s a quick snapshot of the themes Tal covers (with demos attached to each):

• Build your AI Copilot → From onboarding your AI assistant to gossip workflows that keep it updated.

• PM Productivity → Tips on thriving as a super IC, managing emotional load, and unfair advantages of AI.

• Data Analysis with AI → Visualizations, competitor revenue analysis, behavioral overlaps, and when to trust AI analysis.

• Soft Skills & Hard Conversations → Using AI to simulate feedback sessions, stakeholder discussions, and interview prep.

• From Using AI to Building AI → Understanding prompts, system architecture, and principles for designing AI tools.

• Cursor for Plain English → Why Cursor feels different, context management, and advanced PM frameworks encoded as rules.

• Advanced Use Cases → From mining support tickets to transforming PRDs into prototypes.

• AI Automations → Building schedulers, research brains, auto-prioritizers, and daily issue reports.

Reading through it, I realized it’s not just about what AI can do — it’s about how a PM should think when integrating AI into their work.

Side note: the last cohort of Tal Raviv - Build Your Personal PM Productivity System & AI Copilot

Build your AI copilot

• Build your personal AI copilot Guest post in Lenny's Newsletter

• Why an AI Copilot - Understanding the value of building a personal AI copilot for product management

• Onboard Your AI Copilot - How to set up and onboard your AI copilot with the right context and instructions

• Gossip to AI - Keep your AI copilot updated with every conversation and project update using the gossip workflow

• Common Questions - Frequently asked questions about building and using a PM AI copilot

PM productivity

• Becoming a Super IC - my conversation on Lenny's Podcast about PM productivity tips, building resilient teams, and thriving in product management without moving to management.

• Overwhelming emotions for product managers - A strong emotional inner game is a force multiplier for leveraging AI at work (with Jack Cohen)

• Product management is an unfair Role. So work unfairly. Guest post in Lenny's Newsletter

Data analysis with AI (and Hilary Gridley)

• Data Visualization - LLMs excel at rapid visualization prototyping - generate and iterate on HTML/CSS visualizations in seconds

• Reverse Engineer Competitor Revenue - How to estimate competitor revenue from accidentally leaked information using rigorous cohort analysis

• Recommend Strategic Metrics - Define the right activation metric and move it using app store reviews and qualitative data

• Analyze Behavioral Overlap - Find overlap between features to build smarter user journeys and increase AI feature adoption

• How LLMs Analyze Data - Understanding how LLMs use code to perform reliable data analysis and combine quantitative with qualitative insights

• When to Trust AI Analysis - Best practices for balancing AI-driven analysis with product instinct and expert validation

• MCP to Database - Using Model Context Protocol to connect AI to databases (with Dan Byler)

Soft skills & hard conversations

• Inner Dialogue Using AI - Use AI to simulate and understand difficult emotions before challenging conversations (with Jack Cohen)

• Simulate a Hard Conversation - Use AI to rehearse difficult stakeholder conversations - practice being both yourself AND seeing through their eyes

• Practice Hard Conversations with AI Voice Mode - Practice difficult feedback conversations with AI playing a defensive recipient (with Jack Cohen)

• Big Tech Interviews - Use AI to prepare for high-stakes tech interviews and difficult conversations (with Ben Erez)

From using AI to building AI (with Aman Khan)

• How Using AI Makes You a Better Builder - Turn your AI product intuition from using great tools into building great AI products

• Using My AI Copilot to Generate a Prompt for Bolt - Explore how AI prototyping tools work by using Claude to create prompts for Bolt

• Understanding Agent Tools & Architecture - Learn how AI coding tools transform your ideas into code through implicit tools and text generation

• Dissecting Bolt's System Prompt - Peek behind the magic to see how AI prototyping tools actually work through careful prompt engineering

• Product Principles for AI Tools - Strategic Insights - Apply strategic product principles from dissecting Bolt to building your own AI features

• System Architecture & Improvement Opportunities - Why AI products sometimes fail spectacularly, and why that might be intentional

Using Cursor for plain English

• Intro to Cursor with a Simple Use Case - How PMs can use Cursor when ChatGPT and Claude are blocked at work

• AI Copilot Architecture in Cursor - Three levels of context for building your PM thinking partner

• Why Cursor Hits Different Than Projects - Small UX changes that create big workflow impacts

• Don't Use Cursor to Start - Why you should begin with Claude or ChatGPT projects first

• What Cursor Taught Me About Building AI Products - Why the right interaction design matters more than the model

• Cursor vs Other Tools - Why choose Cursor over Claude Code, and when not to (with Patrik Boström, Zevi Arnovitz, Sven-Erik Nielsen)

• Context & Hallucination Management - How to manage context effectively and prevent AI from making things up (with Hilary Gridley, Sven-Erik Nielsen, Tristan Rodman, Zev Arnovitz)

• Advanced use cases

  • PM Frameworks as Cursor Rules - Encode your favorite PM frameworks into reusable, systematic tools (with Tristan Rodman)

  • Mining Support Tickets with MCP - Query support tickets conversationally without pre-built dashboards (with Sven-Erik Nielsen)

  • Ask Your Codebase Dumb Questions - How non-technical PMs can understand technical complexity (with Hilary Gridley)

  • From PRD to Prototype in Minutes - Transform finished PRDs into interactive prototypes that look like your product (with Zevi Arnovitz)

  • Turn Meetings into Action Items with Cursor Rules - Automatically extract action items from one-on-ones and add them to your todo list (with Patrik Boström)

Build AI automations

• A guide to AI agents for product managers - Guest post in Lenny's Newsletter

• Auto-Prioritize Feature Requests - Build an agent system for prioritizing feature requests as the first line of defense (with Bryce Vernon)

• User Research Brain - Build an AI agent that joins every user research conversation and becomes a searchable institutional memory (with Flo Crivello)

• Build an AI Scheduler - Create agents for scheduling user research interviews and researching sales leads at scale (with Flo Crivello)

• Build a Daily Issues Report - Automatically synthesize your open support issues into an actionable daily report (with Jacob Bank)

• Auto-Research Meeting Participants - Build a sales prep agent that automatically researches meeting participants before calls (with Bryce Vernon)

• Start with AI Automation Templates - How to adapt and customize existing AI workflow templates for your specific needs (with Jacob Bank)

• Common Questions - Q&A about building AI agents and automations for product management

My takeaway

If you’re like me — a PM constantly experimenting with AI to figure out where it actually drives leverage — this collection is pure gold.

Instead of passively reading about “AI trends,” you can:

• Watch short, bite-sized demos (most just a few minutes).

• Explore realistic PM workflows where AI adds value.

• Build intuition as both a user and builder of AI tools.

If you have any questions or feedback do comment.