AI engineering
Use when a multi-request AI workflow fails on retries, rate limits or malformed output.
--- name: ai-engineering description: Diagnose or improve reliability of a structured, multi-request, rate-limited, or cost-sensitive AI workflow. Use for malformed or truncated outputs, retry/rate-limit failures, unreliable fan-out, cache/resume bugs, or missing run telemetry. Do not use for ordinary prompt edits or simple one-shot model calls. ---