Six weeks is not a constraint. It is the point.
Our build sprints are short on purpose. Here is what that forces.
What we learned shipping an agentic product to real users.
Emotix.co is an agentic platform for founders. It takes an idea and returns a validated product brief, market research, competitor analysis, personas, and a landing page, in under a week. The hardest engineering problem is not generating any of those artifacts. It is knowing when the generation is wrong.
We run four eval layers: structural validators on every model output, golden-path regression tests on every deploy, model-graded rubric scores on every production run, and weekly human review of a random sample. Each catches a class of failures the others miss.
The rubric judges drift. The structural validators are load-bearing. The human sample is the most expensive layer and the least replaceable. We would not ship without any of them.
The human sample is the most expensive layer and the least replaceable.
Our build sprints are short on purpose. Here is what that forces.
The interesting question is not whether to use AI. It is what a product becomes when you build as if intelligence is free.
The word stopped doing useful work. Here is what we replaced it with and why clients noticed.
Demos lie cheerfully. These are the evals we actually run before we ship.