A production AI agent does not always fail loudly. Sometimes it loops, retries the same tool call, waits on missing context, spends tokens on a doomed plan, and still returns a polished update that looks fine from the outside. That is the risky part.
Source: [Dev.to](https://dev.to/jackm-singularity/ai-agent-distress-signal-let-stuck-workflows-ask-for-help-46hi)