Field Notes
Notes from
the starting line.
Practical thinking on problems, prototypes, first users and the decisions that shape an early company.
What makes an early AI product worth returning to?
A striking output can win a first look. Reliability, context and a useful place in the workflow earn the second.
Your first ten users are a learning system
At the beginning, a useful user relationship teaches you where the product belongs—not just how to increase a count.
A prototype should answer a question
The best early prototype is often smaller than the product you want to build—and more precise about what it needs to prove.
What we look for before there is traction
Before a dashboard can tell the story, the quality of a founder’s learning can still be visible.