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When working with MCP, the biggest gains usually come from treating it as a repeatable workflow rather than a one-off prompt or experiment. One important area is performance. Define what a good result looks like before changing tools or settings, then test one variable at a time so you can tell...

I have a question about Robot AI Models that may be useful for other people working with it too. I am particularly interested in data quality and collaboration. I would like to compare approaches that people have actually used rather than just theoretical suggestions. What trade-offs have you...