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    Building your own AI agent harness gives you more control, a user argues

    A tailored system prompt can help curb verbose answers, a user says, making the case for customizing an agent’s harness—the software that manages its behavior.

    EL
    1 Source, ,

    TLDR

    A user argues that even a minimal custom AI agent harness can deliver better code and writing, with tailored system prompts making overly verbose answers easier to fix. They acknowledge that optimization is difficult, but predict self-improving algorithms will make it easier. They also say local models allow the model and harness to be tuned together, and point readers to Eve, Exo and Prime Agent as open-source projects to explore.

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    1 Source, first seen 19d ago

    Combined views

    40.7K

    1 Source, first seen 19d ago

    329 likes
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    19d ago
    first seen 19d ago
    329 likes
    33 comments
    467 saves
    29 reposts

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    33 comments
    467 saves
    29 reposts

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

    1 Source

    @omarsar0Build and own your harness, folks. Very few people understand the magic behind customizing and optimizing an agent harness for your work. You can start seeing incredible results quickly, even with a minimal harness. Just better code, better outputs, better costs, better writing, and so on. As an example, I see way too many people complain that they are tired of their out-of-the-box agent harness producing verbose outputs. If you built a harness, that's easier to fix with a system prompt optimized for you. This is why Pi is getting insane adoption these days. You want to control your harness. I agree that it's hard to optimize where things stand, but self-improving algorithms will make it easier to learn from trajectories. And if you use local models, you can tune all of that end-to-end (through a co-evolution of the harness and the models) as you work with them. Look into open-source projects like Eve, Exo, and Prime Agent, and you will see what I mean.

    1 Source

    @omarsar0Build and own your harness, folks. Very few people understand the magic behind customizing and optimizing an agent harness for your work. You can start seeing incredible results quickly, even with a minimal harness. Just better code, better outputs, better costs, better writing, and so on. As an example, I see way too many people complain that they are tired of their out-of-the-box agent harness producing verbose outputs. If you built a harness, that's easier to fix with a system prompt optimized for you. This is why Pi is getting insane adoption these days. You want to control your harness. I agree that it's hard to optimize where things stand, but self-improving algorithms will make it easier to learn from trajectories. And if you use local models, you can tune all of that end-to-end (through a co-evolution of the harness and the models) as you work with them. Look into open-source projects like Eve, Exo, and Prime Agent, and you will see what I mean.