Comment by devonkelley

These are excellent questions!

Outcome definition: Simpler is better. Teams that start with one binary signal like "did it work?" (call completed, meeting booked, etc.), get value immediately. Governance bottlenecks usually come from overthinking it upfront.

Building trust: When Kalibr routes away from what feels like the "right" model and it works, people are surprised. We capture and show outcome history so teams can see when a path started to degrade and when Kalibr shifted traffic. No LLM decision making means no black box around routing choices, it's all shown in your dashboard when you use Kalibr.

Human intervention: Defining new paths, adding goals, handling edge cases where signal is genuinely sparse. The goal isn't zero humans anywhere, it's getting them out of the reactive debugging loop so they can focus on strategic decisions instead of repeatedly patching failed agents.

Curious, have you built multi step agents and run into the challenge of repeated failures?