Reading up on Raindrop

Evaluating AI agents requires floor-raising error analysis, code-aware offline tests, production monitoring, and a tight feedback loop rather than benchmark-maxxing.

Raindrop's Self Diagnostics lets AI agents proactively report failures and capability gaps to developers, providing human-readable context and dashboard tracking.

Production monitoring and A/B testing offer more reliable evaluation of AI agents than offline evals, which fail to capture real-world performance.