Skip to content

PRODUCT LEADER · APPLIED AI · DECISION SYSTEMS

Complex models become workflows people trust.

Across more than 15 years in finance and product, my work has centered on one problem: helping people make better decisions in complex systems.

Portrait of Jose Cao

I spend my weekdays building AI products and my weekends riding my motorcycle, surfing, or helping keep a 2009 Jetta alive. In between, I’m usually reading about AI, economics, or whatever has captured my curiosity that week—ideally over coffee or mate.

Jose AI Assistant

Explore the work

Ask about Jose’s experience, projects, decisions, and ideas. Every answer stays grounded in evidence from this site.

Grounded in the source material behind this site. If an answer matters, follow it back to the work.How I tested itPrivacy note

Projects & Essays

What I’ve built and what I’m still exploring.

Over the past year, many of these projects have revolved around a simple question: how do I make better decisions? That led me from reflection systems, to personal knowledge, to AI interfaces that help organize and challenge my thinking.

Active and evolving

Jose AI Assistant

How do you show how someone thinks before working with them?

The hard part wasn’t the model. It was organizing experience into a representation I could trust.

Jose AI Assistant overview showing the knowledge sources and ways visitors can explore the work.
Completed analysis

HomeTap Analysis

Where does value actually come from in a home-equity investment product?

Understanding the customer wasn’t enough; I had to model the economics their decisions created.

Active and evolving

Compass

How do you keep one bad day from becoming a bad week?

Reflection creates better feedback than a perfect checklist.

Compass trajectory view showing a building state at rising light over a mountain horizon.
Built and iterated

Training System

Can I use GPT as my workout coach without trusting it to remember my workout history?

Reasoning belongs in the model. Memory belongs in software.

Evolving

Agent Workspace

Can agents help build and update a website faster while preserving the judgment behind it?

Still emerging: agents may make work faster, more accurate, and more satisfying when each one has a clear role and review loop.

Writing

The Model Is Not the Product

Why do so many impressive AI demos fail to become great products?

The technology changed. The product problem didn’t.

Launched small and iterating

Record Library

Could a music app optimize for memories instead of engagement?

Launching small taught me faster than polishing alone. The project started for me, then began becoming something someone else might love.

Built and used

The Daily

Can I design the perfect day?

I didn’t discover the perfect checklist. I discovered the limits of one.

Evolving

Capture

Can a knowledge system surface the right idea at the right moment?

Capturing information is easy. The hard part is knowing what matters—and when it matters.

Lately,September 2026

Occupying my thoughts

An obsession is free motivation. If it’s pointed at something worthwhile, pursue it to the max. Don’t seek balance. It will become part of your identity.

Reading

Books shaping my thinking

The IliadHomer

Project Hail MaryAndy Weir

Dopamine NationAnna Lembke

The Man Who Solved the MarketGregory Zuckerman

Watching

Ideas I’m studying

Human Behavioral BiologyRobert Sapolsky

Thinking / Writing

Ideas I’m developing

The Model Is Not the Product

How AI reshapes roles and expectations

Building / Doing

Experiments I’m running

CaptureA knowledge system for surfacing the right idea at the right moment

CompassA personal operating system for reflection and action

Also, lately: trying to perfect my bolognese sauce.

Journey

The thread

Helping people make better decisions in complex systems.

  • 2005–2014

    Learning to Think in Models

    Universidad Torcuato Di Tella • B.A. in Business Economics • Master in Finance

    Economics taught me to think in incentives and constraints; finance taught me to quantify uncertainty and use models without mistaking them for judgment.

  • 2014–2017

    Learning to Invest Under Uncertainty

    Bank of America Merrill Lynch teams • TPCG

    Investing taught me to make decisions with incomplete information, separate signal from noise, and turn complexity into action.

  • 2017–2025

    Learning to Build Products

    Duke University MBA • Zest AI

    Building AI products taught me that accurate models are not enough—the real product is the decision system around them.

  • 2025–Present

    Building My Own Convictions

    Independent • Compass • RecordLibrary • Writing • AI systems

    Stepping away clarified the through-line: helping people make better decisions in complex systems, and making that judgment visible through building and writing.

How I Operate

What I return to

Principles for building, deciding, and working with others.

  • 01

    Build My Own Mental Model

    I don’t like making recommendations based on borrowed understanding.

  • 02

    Quantify the Tradeoffs

    Every meaningful decision involves tradeoffs. I make them explicit whenever possible.

  • 03

    Design with Intention

    Every feature, workflow, and intervention should have a clear reason to exist.

  • 04

    Understand People

    Technology alone does not create change. People do.

  • 05

    Build Shared Understanding

    Complex work moves faster when people share the same representation of the problem.