The write audit: how to measure what your automation actually wrote

A team I would recognize anywhere runs four hundred UI automations against a system somebody else owns. The dashboard is green. The success rate has been 98-point-something for a year. Then a reconciliation turns up eleven records that were updated with values belonging to a different account, all in the same month, all in runs the dashboard counted as successes. Nothing crashed. No exception was thrown. Every one of those runs saw a confirmation banner and believed it. ...

July 27, 2026 · 9 min · OpenAdapt Team

Compile once, govern every repair

Most software robots re-read the manual every single time they run. A person who has done a task a hundred times does not re-derive it on attempt 101. The robot does. A general computer-use agent looks at the screen, thinks, picks an action, looks again, thinks again, all the way to the end, every run. For a task nobody has seen before, that is exactly right. For the tenth-thousandth triage note in the same clinic, it is a strange thing to pay for: latency, model cost, and a plan that comes out slightly different each time. ...

July 20, 2026 · 6 min · OpenAdapt Team

The silent wrong write: your automation should halt instead of guessing

A crashed bot is a support ticket. A bot that writes to the wrong record (or writes the wrong thing, or writes nothing at all) and then reports success is a different kind of problem, and almost nobody publishes a number for it. Nothing pages anyone. The dashboard is green. The error surfaces later, owned by whoever owns the record it landed in: a note in the wrong patient’s chart, a payment posted to the wrong loan. And the defining property is that the tool’s own verification passed. It confirmed that something was saved. It never checked whose record it was, or whether the database agrees with the banner. ...

July 17, 2026 · 9 min · Richard Abrich