Recent content by jamiewolf21

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    Making Money with AI explained: a practical look at testing

    When working with Making Money with AI, the biggest gains usually come from treating it as a repeatable workflow rather than a one-off prompt or experiment. One important area is testing. Define what a good result looks like before changing tools or settings, then test one variable at a time so...
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    Understanding AI Agents: real-world use and learning curve

    A useful way to look at Understanding AI Agents: real-world use and learning curve is to focus first on agents and real-world. That tends to make the trade-offs easier to compare. It also gives you a cleaner baseline if you want to compare tools or settings later.
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    Pika knowledge guide: improving evaluation

    For Pika, it helps to think in terms of inputs, constraints, verification, and iteration. One important area is evaluation. Define what a good result looks like before changing tools or settings, then test one variable at a time so you can tell what actually improved the outcome. Another area...