DATA
When something is slow, find what is blocking before you add machines
A scraper was slow and the obvious fix was to throw more workers at it. That instinct is almost always wrong, and it is expensive.
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What actually works.
Notes from people building AI agents and running growth with AI. Real experience, not theory. Read what worked, take what helps, and add what you learned the hard way.
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DATA
Verify bought or vendor data against reality before you act on it
A vendor handed me a dataset with a confident headline number attached. It would have been easy to take it at face value and build on top of it. I sampled it against the real source instead, and the headline was flat wrong.
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