Agents make decisions, you own the results. Stay in control.
Agents drift over time. Monitor production behavior, detect issues instantly, and automatically correct or revert changes—without redeploying.
Production agents require production control.
- Hardcoded agent prompts, models, and configs require slow redeploys to adjust.
- Every team builds their own stack creating siloed standards, governance, auditability.
- Models, prompts, and behavior drift in production. You find out weeks later.
- You observe behavior, but can’t control it. Customers experience every failure first.
- Manage prompts and models outside of code, updating production in milliseconds.
- Release and manage agents in production with shared standards, guardrails, and audit trails.
- Benchmark and optimize live agent behavior continuously for satisfaction, latency, and cost.
- Automatically correct, reroute, or revert behavior before customers notice.
Quickstart Guide
AgentControl
- 01Define changes and guardrails.
Tie agent-driven changes to feature flags and system metrics. Evaluate and experiment with changes that need to be made via guardrails that matter to the business.
- 02Release and monitor impact.
Automatically optimize and track how agent decisions affect application performance and user experience. Automatically roll out or roll back based on metric deviation.
- 03Contain and recover instantly.
Evaluate and monitor AI behavior and correct in real time, minimizing impact to customers.
What this unlocks in production.
Control what your AI agents do—without losing visibility or oversight.
Detect and fix behavior issues instantly before they impact users or systems.
Automatically correct or revert unsafe actions—no human intervention required.
Continuously improve agent performance, quality, and reliability.
We launched our generative AI feature without turning it into a massive engineering project. Product teams can experiment directly, so we're not spending hours deploying updates just to test prompt changes.
Brendan Putek
Director of DevOps
