How should I design a comparable evaluation environment to test Catalyst, DBOS, and Inngest with the same AI agent workload?

An apples-to-apples evaluation uses an identical agent implementation, workload trace, and failure injection plan across all platforms. Containerize each agent and run them in the same infrastructure to isolate platform behavior. Measure end-to-end latency, state recovery consistency, and observability depth. Note that configuration differences (e.g., retry policies) can skew results, so document and normalize them before drawing conclusions.