Recent content by zoewild24

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    Pika knowledge guide: improving evaluation

    When working with Pika, the biggest gains usually come from treating it as a repeatable workflow rather than a one-off prompt or experiment. 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...
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    Understanding General AI Agents: data quality and performance

    The point about general and agents is interesting. In practice I would keep the first test simple, record what worked, and only add extra complexity if it solves a specific limitation. That way you can improve the workflow without losing track of what caused the improvement.
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    Understanding AI E-Commerce: prompt design and real-world use

    For AI E-Commerce, it helps to think in terms of inputs, constraints, verification, and iteration. One important area is prompt design. 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...