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    Every says AI agents perform worse the more independently they operate

    Every says its employee agent handles stable, repeatable work, while humans frame problems, judge output, catch errors and turn results into decisions.

    E📧
    1 Source, 18d ago, first seen 18d ago

    TLDR

    Every says it has almost 30 people, with its employee agent handling stable, repeatable work and humans responsible for framing problems, evaluating output and making decisions. The company cites cofounder and CEO Dan Shipper’s view that each agent still needs a human—and that the more independently an agent operates, the worse it performs.

    Combined views

    3.4K

    1 Source, first seen 18d ago

    Combined views

    3.4K

    1 Source, first seen 18d ago

    21 likes
    21 likes
    4 comments
    13 saves
    2 reposts

    Sentiment

    Positive——Negative

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    4 comments
    13 saves
    2 reposts

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

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    1 Source

    @everyEvery has almost 30 people. Our employee agent handles stable, repeatable work, while humans frame problems, judge the output, catch errors, and turn results into decisions. @danshipper, cofounder and CEO of Every, says each agent still needs a human for the work to, well, work. The more independently an agent operates, the worse it performs. Read Dan’s Thesis Statement: https://every.to/thesis-statements/dan-shipper?utm_source=x&utm_content=dan_shipper

    1 Source

    @everyEvery has almost 30 people. Our employee agent handles stable, repeatable work, while humans frame problems, judge the output, catch errors, and turn results into decisions. @danshipper, cofounder and CEO of Every, says each agent still needs a human for the work to, well, work. The more independently an agent operates, the worse it performs. Read Dan’s Thesis Statement: https://every.to/thesis-statements/dan-shipper?utm_source=x&utm_content=dan_shipper