Recent content by rubythetech

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    Step-by-step data quality tutorial for AI Troubleshooting

    This tutorial shows a simple repeatable way to work with AI Troubleshooting while focusing on data quality. Step 1: Define the result you want. Write down the output format, quality requirements, and any limits before you start. Step 2: Prepare a small representative example. Test with...
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    AI for Instagram explained: a practical look at productivity

    The point about instagram and practical 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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    A practical overview of Unity + AI for testing

    For Unity + AI, it helps to think in terms of inputs, constraints, verification, and iteration. 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 you can tell what actually improved the outcome. Another...