Airbnb’s eval‑driven pipeline slashes GenAI failures by 80%
Airbnb built an eval‑driven pipeline that starts by manually reviewing 100 GenAI prototype outputs to surface failure modes, then codifies them into programmatic checks and calibrated LLM judges that agree with humans in the high‑80% range. Continuous monitoring now catches regressions before shipping, turning evaluation into a core engineering discipline rather than an after‑thought.