WORKFLOW RELIABILITY
Find the ugly 10% before it becomes an incident.
For AI, API and automation workflows that usually work but fail unpredictably. I have been building AI/LLM-assisted systems and automation since November 2022, with hands-on focus on retries, validation, observability and duplicate prevention.
Questions I answer.
What actually failed?
Separate input, external-service, transformation, persistence and notification failures.
Can it be retried?
Classify transient failures, configuration errors and operations where replay can duplicate work.
Can someone recover it?
Identify missing state, logs, alerts and manual recovery boundaries.
What should be fixed first?
Prioritize changes by severity, likelihood and operational cost without rebuilding everything.
See the deliverable before buying.
Sample Reliability Audit
A fictional, sanitized example showing failure map, severity, remediation order and verification tests.
Have a workflow that “sometimes” breaks?
Send a sanitized payload, screenshot, log excerpt or short description.