Why 90% of Al Workflows Fail at This One Step Nobody Talks About

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What's really happening with AI model selection for serious work? The common story is that one model handles everything — but the reality is more complicated.

In this video, I share the inside scoop on why thinking at the task level changes everything:

- Why workflows fail when you throw a single agent at 14 steps
- How to break work into atomic units like cleaning data or reasoning
- What fingertip feel for models actually means in practice
- Where the exponential ROI curve kicks in for AI investment

For operators and builders, the skill that separates casual users from serious practitioners is matching the right model to each task — not the whole workflow.

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For deeper playbooks and analysis: https://natesnewsletter.substack.com/