A public lab for building & getting seen
Build products with AI. Launch them fast. Get real users.
We’re testing what it takes to turn AI-built products into things people actually use. The builds, the traffic, the mistakes. All out in the open.
By Monte Summers. Learning in public.
The process
AI helps us build faster.
This helps us make better bets.
Talk to a specific audience. Study what they already use. Test why they would switch before committing to a large build.
Find a problem worth solving.
Use AI to build a focused product. Record the time, tools, costs, and tradeoffs along the way.
Make the smallest useful thing.
Ship a usable version with measurement in place. A public URL is the starting line.
Put it in front of people.
Try a small number of distribution channels. Measure sources and useful visits instead of guessing.
Test how people find it.
Look for repeat use, conversations, and real problems solved. A visitor is not automatically a user.
See who comes back.
Publish revenue alongside costs. Treat willingness to pay as a hypothesis to test early, then measure actual results.
Test whether value gets paid for.
A learning loop, not a promise of revenue. Test willingness to pay before you build, too.
Start here
Failure File #001 · Watcher
Stopped before public launchAI helped me build a home-media platform. It couldn’t tell me whether anyone needed another one.