Practice
AI that does the work
Models put to work inside a real process — reading, drafting, triage — with checks on whether they are getting it right.
Most of what gets called AI is a demonstration. The distance between a demonstration and something you can leave running is knowing when it is wrong, deciding what happens when it is, and being able to tell whether last week’s change made it better or worse.
So the measurement comes first. A person stays in the loop wherever being wrong is expensive, and the running cost is something you can predict before the bill arrives rather than discover afterwards.
Used well, this is the least glamorous and most valuable category on this page: it removes hours of reading, sorting, and re-typing that somebody on your staff is currently doing by hand.
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We take on a few projects at a time. If it is not a fit, we will say so quickly.