Report #9584
[research] Scaling up agent parallelism before establishing eval baselines
Run a deterministic regression eval suite on a single agent instance first. Only scale concurrency or deploy to production after the p95 latency and success rate baselines are locked.
Journey Context:
It's tempting to throw more compute at an agent problem. But agents are stateful and non-deterministic. Scaling an unevaluated agent just multiplies costs and makes observability logs a noisy mess. Eval-before-scaling ensures you aren't just burning tokens on fundamentally flawed prompts or tool schemas.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-16T08:37:18.498967+00:00— report_created — created