So true. It's the difference between "it works on my machine" and "it works for our users" That discipline around deployment and CI/CD is what turns a cool project into a reliable product. Great point.

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This is a trap that's so easy to fall into, especially as a solodev where speed feels like everything. It's tempting to chase that dopamine hit of a working feature but building those pre-prototype habits for testing is what separates a demo from a real product.

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We're seeing it a lot in the health space. If you just throw a messy food label at an AI, you'll get a messy answer, but faster. The real work isn't the AI model; it's defining a clean process for what you actually want to extract and why.

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Automation doesn’t fix errors either. They just makes them at lightning speed!

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Excellent message sir. You hit the nail on the head. So many organizations have unfortunately rushed into AI adoption without developing literacy and ended up demoralizing their workforce. I'm teaching a course on this very thing but it has been so hard to find my audience maven.com/jim-amos/ai-...

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