Rules engine, search index, or LLM: which one should actually power your feature?
An LLM is the only one of the three that can give you a different answer to the same question. Choose with that in mind.
to1 Blog
Notes from a software studio that builds products from zero to one: hiring a studio, AI-native engineering, and rescuing stalled codebases.
AllZero To One Build PlaybookAI-Native Product EngineeringProduct Rescue And HandoffsHiring A Software Studio
Which AI Features Are Worth Building First, and Which Ones to Skip?
Build the narrow assist your users can check. Skip the autonomous agent, the chat box on every screen, and the pilot with no path to production.
What Breaks First When You Ship an LLM Feature to Real Users?
Five failure points we check before an AI feature meets users, and not one of them is the model.
What we learned building Goblyn, an AI that runs a brand blog
Goblyn is our autonomous AI platform for running a brand blog. The hard part was never the writing.
How to Tell Whether Your Product Actually Needs an LLM
A five-step test for deciding when to reach for a model and when a plain deterministic feature wins.