Here's why it matters: AI agents are starting to take real actions in production — moving money, modifying records, talking to customers. Traditional observability tools were not designed for this. They tell you what happened after the agent acted. By the time you've read the log, the refund cleared, the record was deleted, the email was sent twelve times. While many observability vendors have tried to extend into agent workloads, the engineers we've talked to keep asking for something different: a layer that sits inline, before tool execution, and prevents bad actions instead of just logging them. SafeRun is built from the ground up for that. Inline policy evaluation. Loop and cost circuit breakers. Human-in-the-loop approval queues. Frame-by-frame replay debugging.…