AI features a real user opens twice
AI that ships looks boring next to AI that demos. We build the boring one, because it is the one people use on Tuesday.
90 to 99%
the gap that turns a demo into a product
~15 examples
the cheapest accuracy win there is
Human-in-loop
where the stakes are real
We hold every AI feature to one test: would a real user reference this, or is it a demo feature. On a healthcare platform we shipped AI-assisted intake that reads a patient's lab PDFs and turns the values into plain language a provider can use during the call. It passed the test. A provider actually opens it.
Getting there is not about a clever prompt. It is about examples, evaluation, and knowing where a human still has to sign off.
What we add to your product
- Document and PDF understanding: extract the values, not just the text.
- Drafting and summarization that a person reviews before it goes out.
- Classification and routing with a confidence threshold, not a coin flip.
- The evaluation harness that tells you when the model quietly got worse.
Taste is the moat
AI can produce a hundred decent options in minutes. The valuable skill is the judgment to pick the one that lands, and that judgment is earned by having built the thing the hard way. We keep human review in the loop because the bottleneck moved from making the work to choosing it.
When not to hire us
If an AI feature will not pay back the cost of running and maintaining it, we will say so before you fund it. Some workflows want a checklist, not a model.