AI agents should be as reliable as the infrastructure they run on. Today they aren't. They loop, drift off task, repeat tool calls, and violate policies that nobody catches until the postmortem. We're building the runtime that fixes this in flight. Failproof is an enforcement layer that sits between your agent and its tools, catching failure modes mid-session, denying bad calls before they execute, and injecting corrective context without breaking the workflow.
Observability tools observe. Guardrails block and quit. Failproof enforces and corrects.
The goal: experimental AI that holds up in production. Not someday. Now.
