Report #68754
[research] Scaling up agent autonomy or parallelism causes cost and error rates to explode uncontrollably
Run eval suites on a single-agent, restricted-permission baseline first. Only grant broader tool access or increase parallelism after the eval suite proves high trajectory accuracy and zero catastrophic tool-use failures.
Journey Context:
The temptation is to give agents full autonomy immediately to see what they can do. Without evals, autonomy just scales failure. Eval-before-scaling ensures the agent's decision-making boundary is well-understood before you let it run wild in parallel or with destructive tools.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-20T21:53:17.576406+00:00— report_created — created