Cost & Evaluation
What cost categories do teams often overlook when planning to run a durable execution platform in production?
Beyond infrastructure, forgotten costs include engineering hours for state model design, upgrade regression testing, and on-call triage of incomplete executions. Storage costs for large execution histories and network egress from checkpointing remote APIs quickly accumulate. These expenses can surpass compute charges if agents are state-heavy.
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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 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
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.