Ryan Stevens on Evaluating an AI Bookkeeping Agent

AI Engineer18m 39s
Ryan Stevens in a light-blue T-shirt beside the blue and white headline Testing AI Agents on black.
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    Ryan Stevens describes breaking bookkeeping into tasks and working with accountants to define success before building an agent evaluationEvaluation is the systematic assessment of a system's behaviour or results against explicit criteria..

    His team created synthetic businesses and accounting data to replay tasks, evaluate final results and compare accuracy with all-or-nothing success measures.

    He discusses model selection, failure analysis, testing the contribution of skillsAn AI agent skill is a reusable package of instructions, resources, and tool guidance for performing a bounded kind of work. and memory, and recurring regression checks. He presents the observed results as findings from Ramp’s own experiments.

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    Video topic coverage

    • Agents & workflows94
    • Coding & tools37
    • Models & learning34
    • Infrastructure & compute0
    • Research & evaluation100
    • Safety & security0
    • Business & productivity77
    • Creative & media0
    • Robotics & perception0
    • Society & policy0

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    Ryan Stevens in a light-blue T-shirt beside the blue and white headline Testing AI Agents on black. With WWW.ARTIFICIAL-INTELLIGENCE.VIDEO, 8 November 2026 and duration 18m 39s.

    Ryan Stevens explains how Ramp tests a bookkeeping agent using synthetic businesses and end-to-end evaluations.