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I wanted to start a broader productivity ideas thread around AI SaaS. A useful angle is creative uses, 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 practical examples...

A practical understanding of General AI Agents starts with knowing what the system does well, where it is unreliable, and how to validate the result. One important area is customisation. Define what a good result looks like before changing tools or settings, then test one variable at a time so...