Product

Great products start with the problem worth solving.

How I think about product — taking enterprise AI from experimentation to production, with governance from the start and value measured all the way through.

The mission

Help enterprises move from AI experimentation to production — with confidence.

How I build

Understand. Imagine. Create.

01

Problem before technology

Great products start with the problem worth solving, not the technology. I define the outcome first, then choose the simplest thing that gets there.

02

Vision before roadmap

Understand today's reality, imagine a clear future state, then build incrementally towards it. Vision before roadmap, always.

03

Ship and measure

Deliver in increments and measure value continuously. Working software over slideware, evidence over opinion.

The method

Every decision, the same five steps.

  1. 01Start from the user problem.
  2. 02Define the desired outcome.
  3. 03Select the simplest technology that achieves it.
  4. 04Deliver incrementally.
  5. 05Measure value continuously.
On AI

Enterprise AI adoption, done responsibly.

Building AI that solves real business problems.
Putting governance in place from the start.
Keeping humans in the loop where it matters.
Using AI safely in regulated environments.
Helping people work better — not replacing them.
Moving from experimentation to production.

AI should augment human intelligence.

See it in practice

From watching AI
to building with it.

The same philosophy, applied — a practical, no-code course.

Explore the course →

AI Automation Academy is an independent course created by Mercedes Perez-Capilla. It is not affiliated with, endorsed by, or produced by Anthropic. Claude™ is a trademark of Anthropic. All tool references are for educational purposes.