Cost & Evaluation
What key metrics should I track during a durable execution proof of concept?
The most telling metric is whether all in-progress agent steps resume correctly after process restarts, mirroring real-world failure modes. Also measure the total engineering effort to add durable execution retroactively, and the reduction in on-call escalations for stuck state. Collect these metrics alongside baseline agent accuracy to isolate platform from logic issues.
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- Cost & Evaluation
How should I scope a proof of concept for a durable agent execution platform?
Focus a proof of concept on resilience over scale to reveal true platform fit for agentic workflows.
- 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.