Recent content by tomonwizard

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    MCP explained: a practical look at evaluation

    For MCP, 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...
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    A practical overview of AI for YouTube for cost control

    The point about youtube and cost 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 should make it easier to tell whether the change is actually helping.