Writing
Insights
Notes from building AI products, leading teams, and working through the technical choices that come with both.
Sep 2025
Why Physical AI Teams Become Infrastructure Companies
Product strategy for robotics must account for the data, simulation, evaluation, and compute systems that make dependable physical intelligence possible.
Physical AI · Product Strategy · AI Infrastructure · 2 min read
Apr 2024
Go/No-Go Decisions for Machine Learning Products
A practical decision framework for choosing whether an ML initiative has enough evidence, data, and delivery readiness to advance.
Machine Learning · Product Management · Strategy · 2 min read
Apr 2024
Estimate ML Effort Before You Commit
Estimate the work, risk, and likelihood of success across the full ML product lifecycle before setting expectations.
Machine Learning · Planning · Leadership · 2 min read
Apr 2024
Evaluate the Decision, Not Just the Model
Build an ML evaluation plan that measures the quality of the product decision and its real-world consequences.
Machine Learning · Evaluation · Product Strategy · 2 min read
Mar 2024
Plan the Path From Prototype to Product
Prepare an ML capability for real users by designing the integration, operations, and learning loop before release.
Machine Learning · Product Delivery · MLOps · 2 min read
Mar 2024
Turn Data Labeling Into a Plan
Build a labeling effort around the decisions, expertise, quality checks, and feedback loops that make annotations useful.
Machine Learning · Data Operations · Product Strategy · 2 min read
Feb 2024
Design the Model Plan Around the Workflow
Connect model choices to the user workflow, constraints, and delivery responsibilities that determine real product value.
Machine Learning · Product Design · Engineering · 2 min read
Feb 2024
Audit Your Data Before You Build
What to learn about available data before promising an ML outcome or committing to model development.
Machine Learning · Data Strategy · Product Discovery · 2 min read
Jan 2024
Choose Machine Learning for the Right Reason
A practical way to decide whether an ML model is the right intervention for a customer problem.
Machine Learning · Product Strategy · Decision Making · 2 min read
Jan 2024
Define the Problem Before the Model
How to frame an ML opportunity around a customer decision instead of an interesting technical capability.
Machine Learning · Product Discovery · Strategy · 2 min read
Jan 2024
A Practical Guide to Starting Machine Learning Work
A product-minded sequence for moving from a meaningful problem to a responsible machine learning investment.
Machine Learning · Product Strategy · Leadership · 2 min read