Route cheap work away from expensive models
Agent cost explodes not from reasoning calls but from using Claude Opus for heartbeat checks, status validation, and retry logic—move those to cheaper models or simple code.
May 27, 2026
Summary
Long-running agents become expensive when supervision logic retries on expensive models. Separating task routing by complexity cuts spend to one-third while improving reliability through explicit state and hard retry limits.
Why it matters
Long-running agents become expensive when supervision logic retries on expensive models. Separating task routing by complexity cuts spend to one-third while improving reliability through explicit state and hard retry limits.
Implementation verdict
Replaces all-Claude-Opus architectures and prompt-based loop prevention. Requires explicit state storage (Redis/Postgres), coded retry limits, and task triage logic. Worth implementing immediately—the pattern is proven across n8n, Make, Zapier, and custom agents.
Sources
- 1.moving heartbeat checks, cron pings, and other low-value supervision off Claude Opus cut spend to about one-third
- 2.The expensive part usually isn't the main reasoning step. It's the invisible scaffolding around it.
- 3.heartbeat checks, cron-trigger validation, retry bookkeeping, simple routing, status classification, watchdog logic, 'did this step finish?' checks
- 4.Agents rarely become expensive because one prompt was huge. They become expensive because a workflow can't confidently tell whether it succeeded.
- 5.A lot of teams pay premium model costs to compensate for weak state handling. That's backwards. Better state is cheaper than better prompting.
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100+ sources compressed into one 4-minute read. Ranked, cited, implementation-ready.