Thinking
Insights on Product Management, AI, and the future of building software. Based on real experiences from 20+ years in product and recent deep dive into AI.
Featured Article
The AI Product Manager's Dilemma: Build vs Buy vs Partner
Every product team I've worked with in the last year asks the same question: "Should we build our AI features in-house, buy existing solutions, or partner with AI companies?" After helping 15+ teams navigate this decision, here are the frameworks that actually work.
Read Full ArticleRecent Articles
Why Product Metrics Break in AI Features
Traditional product metrics don't work for AI features. Here's what to measure instead and how to build feedback loops that matter.
Read more →From PIX to AI: What Payment Innovation Taught Me About AI Products
Leading Brazil's instant payment launch taught me principles that apply perfectly to AI product development. Here's what transfers.
Read more →The 3 Types of AI Product Managers
Not all AI product managers are the same. Understanding these archetypes helps teams hire the right profile and set proper expectations.
Read more →Building AI Products That Users Actually Want
Most AI features feel like demos. Here's how to build AI products that solve real problems and create lasting value.
Read more →Product + AI Framework
The AI Product Playbook
Complete guide for product managers building AI features. Based on real implementations across 20+ companies.
Updated monthly
Chapters:
- 1AI Product Discovery & Validation
- 2Metrics That Matter for AI Features
- 3Building AI-Human Feedback Loops
- 4Safety & Ethics in AI Products
- 5Team Structure for AI Products
Case Studies
How We Reduced User Research Time by 60% with AI
Complete walkthrough of building and implementing an AI research assistant that transformed how our team understands users.
Read case study →PIX Implementation: The Product Story
What really happened when we launched Brazil's instant payment system. Lessons on stakeholder management, technical debt, and launching at scale.
Read case study →💭 Quick Thoughts
Short insights and observations from building AI products
AI product metrics need to account for learning curves. Traditional time-to-value doesn't work when the product gets smarter over time.
December 15, 2024
Best AI features feel invisible. Users should accomplish their goal, not interact with "AI."
December 10, 2024
After watching 50+ AI product demos: The most successful ones focus on workflow integration, not standalone intelligence.
December 5, 2024
Product managers in AI need to become comfortable with probabilistic outcomes. Binary success/failure metrics often miss the nuance.
November 28, 2024
The hardest part of AI product management isn't the technology—it's explaining to users why the AI made a specific decision.
November 22, 2024
Stay Updated
Get new articles and insights delivered to your inbox. I write about AI product management, share frameworks, and document lessons learned from real implementations.
No spam, just insights. Unsubscribe anytime.