Five Rules for Picking an AI Model That Actually Works

How do you pick the right AI model when there are suddenly so many options? According to Nate B Jones on YouTube, it's not about finding the most capable model—it's matching intelligence to the actual job. For familiar, repeatable work, cheaper models like G-L-M five point two handle the load. Keep your frontier models for the fuzzy problems where you're still figuring out what the job really needs. Specialists shine for images, video, live web feeds, and coding tasks. The key skill is routing work by what it genuinely requires, then keeping your context portable so a model change doesn't derail your workflow. His rule: test any choice on your own real work first.

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