Thoughts on product strategy, AI, and building things people actually love.
13 postsA well-instructed agent with great context still deleted a developer's home directory. Here's why that failure sits at the harness layer, not the prompt, and what that actually means to build.
The best AI products aren't the ones that make the most LLM calls, they're the ones that make the fewest calls needed to get the job done. A breakdown of the loop patterns behind production AI products, what they actually cost in tokens, and how to keep them efficient at scale.
A new breed of product manager is emerging — one who doesn't just spec features, but deploys AI directly into workflows, decisions, and customer interactions. Here's what that shift means for the future of product.
Most personas describe users. Very few help teams understand them. I replaced traditional personas with AI-generated behavioral archetypes — and it permanently changed how I think about user research.
Stop manually checking G2, pricing pages, and app store reviews every week. Here's how I built a system using Apify, Notion, Claude, and Slack that delivers competitor signals automatically — with AI analysis included.
For 7 days, I replaced key parts of my PM workflow with AI tools. Here's where AI genuinely helped, where it struggled, and what it means for the future of Product Management.
As a PM, it often feels like you're building a rocket ship with IKEA instructions. MoSCoW is the framework that brings clarity to chaos.
AI is revolutionizing product management by providing deep insights, automating processes, and enhancing forecasting accuracy.
The rise of generative AI has changed how we build products. AI is no longer just a feature — it's the foundation.
How to balance quantitative insights with qualitative user feedback
Step-by-step guide to building your first product from concept to launch
Moving beyond vanity metrics to insights that drive product decisions
How to maintain product quality while growing your team