Inside Rippling's four-layer agent eval pipeline: ~10 critical scenarios gate every deploy
LangChain · x · 2026-08-27
LangChain shared how Rippling evaluates its agents in production, split across offline/online and timing:
- Offline evals: pre-recorded mocks and fixtures run locally on every commit with no external dependencies.
- Post-merge integration evals (online): 300-400 queries against a full Rippling sandbox validate system health before deployment.
- Deploy-blocking evals (online): 10 critical scenarios against real systems gate every deployment.
- Continuous evals (online): scheduled runs against production data multiple times a day monitor live health.
Related event: Ripping Went All-In on AI in Six Months with Deep Agents and Layered Evals(2 posts)→
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