AI Product Manager Bootcamp

Why the old PM workflow is broken — and how AI collapses 10-week cycles into 2-hour prototypes.

Discover how AI amplifies Thinking, Creation, and Communication to turn you into a leverage machine.

Follow a simple Claude prompt and watch your first working app appear instantly.

Go under the hood of large language models to understand how they “think,” why context windows matter, and how to feed ChatGPT the right inputs for high-quality, product-ready output.

Watch ChatGPT generate detailed, testable user stories with acceptance criteria, edge cases, and prioritization — ready to paste straight into Jira or Linear.

Learn how to analyze a competitor’s positioning, uncover strategic gaps, and extract actionable insights for your own roadmap in minutes.

Practice with ChatGPT acting as a skeptical CFO or CEO, so you can pre-empt objections, tighten your arguments, and communicate with executive precision.

See how ChatGPT can teach you complex topics (like APIs, indexing, or caching) in clear, product-manager language so you can make smarter technical decisions.

Collaborate with ChatGPT to create and score a live prioritization matrix using Reach, Impact, Confidence, and Effort — turning ambiguity into clarity.

Master the 5-part prompt formula (Context, Role, Task, Constraints, Format) and explore advanced ChatGPT features like Deep Research, Canvas Mode, and autonomous Tasks that make you a true AI-powered PM.

Discover how Claude’s “Artifacts,” long context window, and deep analysis capabilities make it the best AI tool for PMs who want to prototype, validate, and think strategically — not just chat.

See Claude build a fully functional dashboard with charts, filters, and sample data in real-time. No code, no setup — just one great prompt that delivers stakeholder- and customer-ready visuals.

Watch Claude generate a working product feedback board — complete with upvotes, status filters, and comment threads — the perfect internal validation tool before asking engineering to build it.

Upload a CSV of user feedback and watch Claude extract top themes, sentiment, and actionable recommendations — instantly transforming messy data into clarity.

Learn exactly when to reach for Claude’s depth and structured reasoning versus ChatGPT’s research and customization strengths. Includes side-by-side comparisons for PM use cases.

A guided overview of Lovable and how it turns plain-English prompts into production-ready web apps. Learn its core features, how it fits alongside Claude, and why PMs use it for instant validation.

Use Lovable to create an interactive pricing page where users can pick plans, toggle monthly vs annual, and leave feedback — revealing what really drives conversions.

Prototype a complete multi-step onboarding flow that tracks drop-off, captures confusion points, and gives you real data to optimize before redesigning the live product.

Build a feedback inbox to centralize customer insights. Tag submissions, search by theme, and visualize trends — a real internal app built in minutes.

Step inside the mindset of a product manager defining a compliance tracking tool. Use ChatGPT to clarify target users, pain points, and jobs-to-be-done to help you write great user stories.

Turn those user stories into a live, no-code prototype using Lovable. Watch how ChatGPT accelerates the setup, structure, and copy for your first working version.

Create and configure your GitHub account to host your Lovable and Claude projects. Learn basic repo setup, commits, and why version control matters for PMs building with AI.

Take your v0 prototype built in Lovable and move it into GitHub as your project’s foundation. Learn how to export clean code, organize it for collaboration, and prepare it for Claude Code refinement and version control.

Download and set up Cursor, the IDE built for AI collaboration. This environment will power your Claude Code workflow, letting you edit, debug, and ship with AI assistance

Sign up for Claude Code and connect it to your workspace. Learn how it integrates with Cursor to generate, refactor, and explain code like a real engineering partner.

Tie everything together into one seamless build pipeline. From AI coding to live deployment, watch how each tool works in sync to create a true production environment.

Connect a Supabase project to your app for real data persistence, authentication, and scalability — the foundation of a production-ready stack.

Learn how to use a structured AI framework to turn a single product idea into a full PRD — complete with goals, scope, success metrics, and detailed feature definitions. You’ll never start from a blank page again.

Watch as AI transforms your PRD into a fully scoped engineering plan — every feature, file, and dependency mapped out in minutes. No more weeks of grooming sessions or sprint planning just to figure out how to build what you’ve already defined.

This is where everything comes together. Using the PRD and detailed build plan your AI tools generated, you’ll create your launchable compliance tracking product — the first Single, Lovable, and Complete version of your app. This one build represents the entire product vision made real — not every tiny feature, but the core experience that’s ready to ship.

Take your new product live by rebuilding a professional marketing site — fast. Using Claude Code and assets from FlurryMap, you’ll redesign the site’s layout, copy, and visuals to align with your launchable product. This step turns your app from a working prototype into a market-ready offering that looks and feels real.

Get a clear, high-level understanding of the Model Context Protocol — the emerging standard that lets AI agents interact directly with live tools, data, and environments.

See how Context7 helps organize and manage context for AI projects, letting you create smarter, more reliable workflows with less manual setup.

Learn how Vercel’s MCP integration streamlines deploying AI applications, connecting code, hosting, and context in one unified environment.

Understand how the Supabase MCP connects AI models to real databases, enabling dynamic read/write operations straight from your assistant or agent.

Explore how Playwright MCP lets AI test your app’s functionality in real-time — automating quality assurance for your next product build.