"I Like Jira" Became "Has Issues With Jira" — Fixing AI Data Accuracy
By Zeineb
"I like Jira" became "has issues with Jira." Zeineb shows how we're fixing data accuracy in Yield's AI interviews.
By Zeineb
"I like Jira" became "has issues with Jira." Zeineb shows how we're fixing data accuracy in Yield's AI interviews.
More from the Lab
What makes an AI interviewer trustworthy? Not intelligence — behavior. Four research-backed principles for building Yield.
Yield interviews every employee, connects every system, and builds a live map of how your company actually works.
Pain points had 75% coverage. Everything else? Under 10%. Mugi shows how we taught Yield to go wider, not just deeper.
Munkhchimeg Sergelen explains how ASL differs from spoken English and why these differences are essential when designing SignMate.
Zeineb introduces her medical AI project focused on early brain tumor detection, explaining how AI, precision, and analysis can improve patient outcomes.
Kevin compares different AI agents for image analysis, showing how each approaches visual tasks and where certain tools perform better by use case.