How leading AI companies 10x experimentation velocity with Statsig
summary
Statsig shows how to run live AI experiments end-to-end with feature gates, a React SDK and Layers that let teams spin up many mutually exclusive experiments without code changes; example parameters flip temperature 0→1 and max_tokens 256→512, logging response time, finished_reason, token consumption and thumbs up/down. A sample test compares GPT‑4 vs GPT‑3.5 and finds higher thumbs up but higher latency and cost. Platform deploys from Azure marketplace and bills a 10x experimentation velocity uplift by removing manual rollout and recompile steps.
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chapters (6)
- 0:00AI experimentation overview
- 1:21Testing AI in production
- 2:31Setting up an experiment
- 6:14Metrics and diagnostics
- 8:37Advanced targeting
- 10:18Scaling with layers
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