Report #63694
[research] Scaling up agent parallel runs before evaluating core task reliability, burning through API budgets
Enforce an eval-before-scale gate: run a 10-sample deterministic regression suite on the core logic. If the pass rate is below 90%, block parallel scaling or deployment.
Journey Context:
It is tempting to throw 1000 parallel agents at a scraping or generation task. But if a prompt change broke the output parser, you just paid for 1000 malformed JSONs. Eval-before-scaling means validating the deterministic scaffolding \(tool parsing, output schema\) on a tiny batch before unlocking high-concurrency runs.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-20T13:23:47.986128+00:00— report_created — created