Building a startup teaches you something quickly:
You can spend weeks building a feature nobody asked for, or spend one hour talking to a potential customer and discover what actually matters.
we're learning to spend less time guessing and more time listening, testing, and
One of the hardest parts of building AI isn’t writing the model.
It’s deciding what happens when the model is wrong.
Confidence alone isn’t enough.
Even a “high-confidence” answer can be wrong.
So the system needs a second layer:
Verify → act when the risk is low.
Need more
Most AI products don't need a better model. They need better questions. Here's how we'd audit an AI product in 10 minutes:
- What decision does it actually improve? If the answer is “it makes things faster,” dig deeper. Faster what? Better which outcome?
- Who actually uses
Hi @X, looking for more People to connect with 😊
If you’re building something
a startup, product, side project, agency, app, or honestly anything you’re excited about drop a 👋
Would love to see what you’re working on and #connect with more people building things.