Report #7370
[research] Scaling agent parallelism or autonomy before establishing regression evals
Implement a gated eval-before-scale workflow. Freeze the agent's toolset and prompt, run a regression suite, and only increase autonomy or parallel execution if the regression suite passes with a high confidence threshold.
Journey Context:
Giving agents more autonomy \(e.g., allowing 10 parallel branches instead of 1\) multiplies the cost of failure exponentially. Teams often scale compute before establishing evals, leading to massive API bills and compounding errors. Eval-before-scaling ensures the base agent is robust before granting it more resources.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-16T02:36:54.803336+00:00— report_created — created