Ben Holmes on Reviewing AI Agent Work

AI Engineer19m 20s
Ben Holmes beside the words Reviewing Agent Work.
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    Ben Holmes explains how teams can collect agent conversations, tool calls and outputsAn execution trace records the sequence of operations and results produced while a system carries out a task. to examine work that might otherwise appear successful despite hidden retries or failures.

    Ben Holmes describes using language models with explicit rubrics to score qualitiesEvaluation is the systematic assessment of a system's behaviour or results against explicit criteria. such as efficiency and test coverage. Aggregated failures can guide an agent to propose changes to skillsAn AI agent skill is a reusable package of instructions, resources, and tool guidance for performing a bounded kind of work. or configuration, which people review.

    Ben Holmes demonstrates a one-time analysis and describes tracking scores over time. His examples are a practitioner account of the workflow rather than an independent evaluation.

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    Video topic coverage

    • Agents & workflows94
    • Coding & tools66
    • Models & learning42
    • Infrastructure & compute0
    • Research & evaluation100
    • Safety & security0
    • Business & productivity31
    • Creative & media0
    • Robotics & perception0
    • Society & policy0

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    Ben Holmes beside the words Reviewing Agent Work. With WWW.ARTIFICIAL-INTELLIGENCE.VIDEO, 6 November 2026 and duration 19m 20s.

    Ben Holmes describes a feedback loop that scores agent work and proposes changes for human review.