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

I wanted to start a broader community experiences thread around Kling AI. A useful angle is cost control, but it also connects with learning curve. Different tools and workflows can produce very different results even when the goal is similar. It would be interesting to compare practical...