Recent content by ethan1536

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    AI Agents explained: a practical look at data quality

    A useful way to understand AI Agents is to separate the goal, the input, the model or tool, and the way the output is evaluated. One important area is data quality. Define what a good result looks like before changing tools or settings, then test one variable at a time so you can tell what...
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    Exploring Making Money with AI: practical use cases

    I wanted to start a broader practical use cases thread around Making Money with AI. A useful angle is advanced workflows, but it also connects with customisation. Different tools and workflows can produce very different results even when the goal is similar. It would be interesting to compare...