Practice area · Kansas City and remote
An agent that is 95% accurate per step fails most twenty-step tasks. Reliable agents come from design, not just a better model: verification, retries, escalation to a person and evaluation sets large enough to catch regressions. Vector 1 designs and evaluates agentic systems with the economics in view, measured as cost per completed task.
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Email [email protected]Why a 95%-accurate agent fails most 20-step tasks, and what a verifier, retries and human escalation do to success rates and cost per completed task.
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Errors compound. If each step succeeds 95% of the time, a 20-step task succeeds only about 36% of the time. Verifiers, retries and escalation to a person raise end-to-end reliability, at a cost that should be measured per completed task.
Large enough to detect the change you care about. A few hundred test questions can miss a regression of several percentage points, so the size of an evaluation set should come from a power calculation, like any experiment.
Yes. Vector 1 is based in Kansas City and works with teams in the metro and remotely.