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#Harness

2026-10 2 posts

  1. Every Organization Needs an Agent Runtime

    Part 2 of 4: why even air-gapped organizations will run a general-purpose agent runtime on work PCs, and how to connect it to internal models and tools.

    AI·Agent #37

  2. Separating the Worker from the Tool

    Part 1 of 4: work spans products, so general-purpose agents become workers and products their tools. What to expose, and where software keeps its value.

    AI·Agent #36

2026-05 4 posts

  1. Requirements as Latent State

    A requirement is a latent state and the user's sentence a noisy observation. What follows for EARS, spec-driven development, harnesses, and when to ask.

    AI·Agent #30

  2. Skill and Harness

    A skill compresses how to behave; a harness organizes how to tell if that behavior nears the goal. Why the two still contain each other in practice.

    AI·Agent #29

  3. Harness as Environment

    A vector DB full of experience does not make an agent adapt. That takes a harness: what may change, how success is judged, how far a failure rolls back.

    AI·Agent #28

  4. Weights, Prompts, Codes as Parameters

    If agent problems are POMDPs, weights, prompts, and code are parameters at three layers of one policy space. Why the layers opened in that order.

    AI·Agent #26

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