Original writing · Ideas from the work
Making better decisions
before building faster.
Practical essays about AI products, prototyping, and the decisions that connect emerging technology to useful outcomes.
AI product strategy · 6 min read · Draft
Before You Build an AI Product, Decide What It Needs to Prove
A working prototype should reduce a specific uncertainty—not simply demonstrate that AI can produce an impressive result.
AI product strategy · 4 min read · Draft
The Most Expensive AI Mistake Is Solving the Wrong Problem
A capable AI system can still be a poor investment when the team has misunderstood the work that needs to change.
AI product strategy · 4 min read · Draft
Why AI Demos Create Excitement but Fail to Create Alignment
A demo can make an AI opportunity feel real while leaving stakeholders with very different ideas about the product being proposed.
AI prototyping · 4 min read · Draft
How to Turn an AI Opportunity into a Testable Prototype
A practical sequence for narrowing an AI opportunity into a working experience that can produce useful evidence.
AI investment · 4 min read · Draft
Five Questions to Ask Before Funding an AI Initiative
A funding decision should test the strength of the opportunity, not reward the polish of the proposed solution.
AI leadership · 4 min read · Draft
What Product Leaders Need to Know About AI—Without Becoming AI Experts
Product leaders do not need to master model architecture, but they do need a practical understanding of behavior, evidence, and operating responsibility.
AI prototyping · 4 min read · Draft
Why Prototyping Matters More When the Technology Is Uncertain
When teams cannot predict behavior from requirements alone, a working prototype becomes a tool for product, technical, and organizational learning.