Most teams fix wrong AI answers one at a time, and the same mistakes keep coming back. Join AtScale and industry analyst Andrew Brust to see how the AI Accuracy Flywheel turns each wrong answer into a test that checks every future answer.

In AtScale’s preliminary BIRD-Interact runs, adding a semantic layer raised accuracy by about 20 points on average. That’s more than switching to the best model did.

You’ll learn:

Why bandaids don’t stick. A prompt tweak or a model swap repairs one answer, so the same errors come back. How the steps feed each other. Each step hands off to the next, and the last one feeds the first, so an error stays fixed. Where to start. You’ll see how AtScale turned its own BIRD-Interact misses into tests, and how your team can build tests from your organization’s own questions.