Buildbox launches a UX layer for finding hidden AI agent failures
The YC S26 startup links user confusion and abandoned tasks to product fixes, then tests revised agent behavior before teams ship it.
By Ryan Merket · Published
Primary source: X
Why it matters
Buildbox is betting that AI reliability will be judged by whether users finish tasks and recover from confusion, rather than by clean traces and passing evals alone.
Trishala Jain (@hitrishala) and Mark Nour launched Buildbox on August 3rd, pitching product teams an analytics layer for AI agents that appear healthy in evaluations and traces while still failing their users.
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