AI Product Management

OpenAI’s Product Leader Shares 3-Layer Distribution Framework To Win Mind & Market Share in the AI World

Features get cloned. Models commoditize. But distribution compounds. This is your definitive guide to AI distribution: from GTM wedges to PLG loops to…

Sep 15 •

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Step-by-Step: Three Essential APIs to Interact With LLMs

With 3 exercises: Build a simple chatbot (Lovable + Chat Completions API), a chatbot with file search (Lovable + Response API), and a chatbot that can…

Sep 9 •

14 Prompting Techniques Every PM Should Know

Prompting isn't dead. It’s never been this critical. And it’s no longer optional. Your future employer will assume you know it.

Sep 8 •

Zooming Out: The AI PM Learning Program

A structured path for AI PMs: follow step-by-step guides, track your progress, and build a portfolio that stands out

Sep 6 •

OpenAI’s Product Leader Shares 5 Phases To Build, Deploy, And Scale Your AI Product Strategy From Scratch

The most practical guide you’ll read on AI product strategy. This will teach you how to build an AI moat that compounds and how to lead AI initiatives…

Aug 30 •

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17 Penetration & Performance Testing Prompts for Vibe Coders

A complete set of prompts, tools, and resources to uncover attack vectors, identify critical issues, boost performance, and guide future improvements.

Aug 25 •

Lovable Just Killed Two Apps? Create Your Own SaaS Without Coding in 2 Days

From Dropbox and DocuSign clones to your own million-dollar idea: here’s how I built Accredia in just 16 hours.

Aug 11 •

How to Create an AI Product Strategy: The AI Strategic Lens Framework

The AI era is not about adding features. It’s about building compounding moats. A proven AI product strategy framework with examples.

Aug 2 •

A Guide to Context Engineering for PMs

Context engineering is the new prompt engineering. And it’s becoming the most critical AI skill.

Jul 28 •

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AI Product Manager Glossary

80+ key terms across 12 categories critical for AI Product Managers, AI engineers, and AI builders.

Jul 13 •

14 Principles of Building AI Agents (Learned the Hard Way)

What I learned by building 50+ AI agents and copying the Multi-Agent Research System by Anthropic. Best practices and mistakes to avoid.

Jul 12 •

How to Build and Scale Full-Stack Apps in Lovable Without Breaking Production

Branching: separate dev, test & prod - a complete no-code guide with proven workflows for building real products (not prototypes) with Lovable.

Jul 6 •

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