Kalibr to AI Devs: Stop Manually Fixing Agents Like It's 2008 – Our Router Lets Them Self-Heal, Humans Just Set Goals

Kalibr, a company founded to address the bottleneck in AI agent production, has identified the primary constraint as the reliance on human intervention for debugging and maintenance. In current systems, a human must notice, diagnose, and deploy fixes when issues arise, resulting in delayed recovery times of hours. This architectural failure can be attributed to the assumption that a human will always be present to keep things running. Kalibr's solution involves treating each model and tool combination as a path, reporting outcomes, and updating probabilities online, allowing the system to automatically route around degraded components. By removing the human loop, the system ensures reliability and continuous improvement, compounding intelligence over time. Founded in 2026, Kalibr's approach enables humans to focus on defining goals, designing execution paths, and improving strategies, rather than incident response. With approximately 20 to 50 outcomes per path required for confident routing, Kalibr's solution has the potential to revolutionize the industry, as attention does not scale and automation is necessary for efficient decision-making.