Carlos Gonzalez de Villaumbrosia

Discover how to design customer-facing AI products that improve usability, trust, and business outcomes.

Your team already adopted AI. Here's why that usage isn't compounding into value, and the operating conditions that separate the teams where it does.

AI product management careers explained: the real job titles, 2026 salary bands by role type, the career ladder, and how PMs actually break in.

Senior product manager technical interview prep now means live prototypes, vibe coding, agent design, AI evals, and safety judgment.

Claude Code for Product Managers explained: what it is, why it matters, and how it helps PMs prototype, validate, and move faster.

An AI Builder is a product professional who uses AI to prototype, analyze, evaluate, and ship — turning product thinking into artifacts faster than the traditional build cycle allows.

What the top 1% of AI-native product teams are doing differently – and why most won't catch up without rebuilding the operating model.

Product School has trained product leaders for 12 years and continues to do so. Product Partners extends that work to the enterprise level, helping organizations transform the systems around those leaders. In this founder letter, Carlos Gonzalez de Villaumbrosia explains what we’re building, what we’re committing to, and why product DNA is essential to AI transformation.

Learn when AI Agents actually help product teams—plus a simple framework to decide when not to use them.

AI experimentation for product teams. Here’s how to test AI features, choose the right metrics, handle variability, and make data-driven decisions.

Understand AI data security risks in product teams, what product data is most exposed, and how to use AI tools responsibly without slowing innovation.

Pretotyping vs. prototyping explained: differences, benefits, examples, and when to use each approach to validate ideas before you build.