From demo to production
What it takes to run an AI agent in production: budgets, retries, idempotency, observability, asynchronous work, fallbacks, and criteria for not using an agent.
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Video summary
The ideas to retain
Budgets before promises
An agent should have explicit limits:
Retries, idempotency, and terminal failures
Not every error should be recovered in the same way. A timeout may be retryable; an invalid argument is not. A 429 requires backoff and respect for quota; a negative business response may…
Asynchronous work and honest completion
The Reactive/Proactive Agent pattern used by 5sigmas models a common case: the agent accepts work, the tool continues outside the visible turn, and the result arrives when the operation…
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