Agent Production-Readiness Checklist
Test whether an agent is ready for a stated operating boundary across evaluations, permissions, observation, human oversight, and recovery.
Open frameworkSix living resources for deciding where AI should run, how an agent’s operating boundary can expand, and what an acceptable completed workflow costs.
Move from a convincing demonstration to an operating boundary supported by evaluation, controls, observation, and recovery.
Test whether an agent is ready for a stated operating boundary across evaluations, permissions, observation, human oversight, and recovery.
Open frameworkConnect serving mechanisms and prices to quality, labor, delay, exceptions, and cost per acceptable outcome.
Replace token-price comparisons with a transparent unit that includes quality, retries, review, exceptions, infrastructure, and operating work.
Open frameworkTranslate inference mechanisms into the workload, capacity, quality, and cost questions they can actually change.
Open frameworkPlace components according to verified data, control, capability, latency, continuity, and operating requirements.
Compare public APIs, managed private services, self-hosting, and hybrid designs using one workload and one explicit operating boundary.
Open frameworkTranslate legal, contractual, operational, and technological control requirements into workload-placement questions.
Open frameworkDecompose a workload into local, private-core, and managed-service responsibilities instead of forcing one deployment model onto the entire system.
Open frameworkA dated CEO decision framework that indexes a bounded set of API, local, and seat candidates, shows how to evaluate hybrid routes, and defines the company evidence required before a signed shortlist—not a ranking or forecast.
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