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Workflow varied from 4 to 20 turns across runs (avg 7.1 turns) — suggests changing task shape or unstable prompts.
A 5× variance in turn count signals that the agent prompt lacks clear stopping criteria. In high-turn runs the agent likely over-investigates before reaching a decision, burning unnecessary tokens and time.
Expected Fix
Read the current Design Decision Gate workflow prompt
Add an explicit turn budget instruction (e.g., complete your analysis in at most 8 turns)
Add explicit decision tree / stopping criteria: when to output a decision vs. when to ask for clarification
Add a test run to verify the turn variance narrows (target: < 2× spread)
Expected Impact
More consistent execution time and cost
Reduced tail-case token usage on complex PRs
Improves predictability for downstream workflows that may chain on its output
Suggested Agent
Design Decision Gate itself in a self-improvement pass, or a general Claude code agent reviewing the prompt file.
Estimated Effort
Fast (< 30 min) — prompt-only change.
Data Source
DeepReport Intelligence Briefing — 2026-04-29 · Workflow execution logs · Observability insights from logs batch · Run §25117657405
Activity
github-actions commentedon Apr 29, 2026
🍪 Issue Monster selected this for Copilot
I've identified this issue as a good candidate for automated resolution and requested assignment to the Copilot coding agent.
If assignment succeeds, the Copilot coding agent will analyze the issue and create a pull request with the fix.
Om nom nom! 🍪