Cost & Evaluation
How should I scope a proof of concept for a durable agent execution platform?
Limit the POC to a representative agent pattern with stateful, multi-step logic that fails intermittently. Instrument the prototype to capture step-level progress, recovery time, and developer effort. Measure only correctness and operational simplicity, not peak performance. Avoid full-scale load tests—durable execution evaluation is about resilience under partial failure, not throughput.
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- Cost & Evaluation
What key metrics should I track during a durable execution proof of concept?
Measure recovery correctness and operational overhead reductions, not agent logic accuracy, when evaluating durable execution.
- Cost & Evaluation
What cost categories do teams often overlook when planning to run a durable execution platform in production?
Engineering for state design, upgrade testing, and on-call triage often outweigh infrastructure costs in durable systems.
- Cost & Evaluation
When is a durable execution platform the wrong choice for an AI agent system?
For agents where failure is cheap and state loss acceptable, durable execution adds needless complexity without benefit.