Beyond the Prompt: Governing AI Behavior Like You Govern Releases

AI features don't behave like static software. The prompt, model, or threshold that works today may not work tomorrow, and most teams have no way to change it without a full redeploy.

Join us for a live demo of AI Configs, Harness's answer to controlling AI behavior with the same discipline you apply to feature releases: progressive rollout, experimentation, and kill switches, all governed by the same pipeline as the rest of your delivery process.

What you'll take away:

• Why hardcoded prompts and models create hidden release risk, and why AI behavior needs the same governance as any other production change
• How to adjust AI behavior at runtime (prompts, models, routing) without a redeploy, and propagate that change globally in under a minute
• How progressive rollout and experimentation let you validate AI behavior with real users before committing to it broadly
• How kill switches and rollbacks give you an instant safety net when AI behavior drifts
• How to close the governance gap between the code your teams ship and the AI they run, all through one pipeline