
How Product Thinking Changes When AI Is Part of the Product
How product thinking changes when AI is part of the product — from probabilistic systems to uncertainty management and outcome-driven design.

How product thinking changes when AI is part of the product — from probabilistic systems to uncertainty management and outcome-driven design.

A data governance strategy only matters if it ships value. Learn how to treat data as a product to unlock AI-ready, trusted, reusable competitive advantage.

Discover how generative AI is reshaping product discovery, MVP development, and innovation frameworks. Learn how to build AI features with speed and discipline.

Traditional MVPs don’t always cut it in the AI era. Discover how MAPs — Minimum Awesome Products — offer a better framework for launching trusted, user-loved AI features.

The best AI features don’t start with models — they start with a product mindset. This guide unpacks how to apply product thinking when designing, prototyping, and launching AI-driven experiences.

Most AI strategies fail not because of the tech — but because they lack product thinking. In this article, we explore why AI implementation fails, how to align digital transformation with business value, and how a product mindset can turn pilot projects into scalable success. A practical guide for AI strategists, product leaders, and innovation teams.
Ocasionally, I’ll share practical frameworks and tools you can apply right away.