Notes for building AI products with clarity.
Practical guidance for founders deciding what to build, how to validate it, and what it takes to ship.
How founders validate an AI product before building it
Find the riskiest assumption and test it before investing in a full system.
From AI prototype to production product
The product, data, and operational decisions that change after the demo.
RAG, agents, and workflows: choosing the right approach
A practical way to match AI capabilities to the job your product needs done.