83% of AI output looks right. The other 17% is destroying value -- here's how to catch it.

Описание: My site: https://natebjones.com
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What's really happening when frontier models beat professionals with 14 years of experience 70% of the time but the output still doesn't survive contact with anyone who actually understands the domain? The common story is about prompting and workflow design—but the reality is more interesting when rejection creates institutional knowledge that did not exist before.

In this video, I share the inside scoop on why learning to say no is the missing skill in the judgment and taste category:

• Why your rejections are more valuable than your prompts
• How recognition, articulation, and encoding break down into learnable dimensions
• What Epic Systems teaches about scaling taste through thousands of encoded workflows
• Where the structural gap in the AI tool ecosystem leaves every rejection on the floor

For anyone watching AI flood organizations with output, the frontier of AI value is identical to the frontier of your organization's taste.

Chapters
00:00 Your Most Valuable AI Skill Is Actually Saying No
02:15 What Happens in the Moment of Rejection
04:30 Why Generation Skills Are Now Commodity
06:30 GDPVal: AI Beats Professionals 70% of the Time
08:15 Recognition: Detecting When Something Is Wrong
10:00 Articulation: Explaining Why in Usable Constraints
12:00 Encoding: Making Rejections Persist Beyond the Moment
14:00 The Epic Systems Lesson: Scaling Taste Across Decades
16:15 Building Infrastructure to Scale Your No's
18:15 What This Means for Teams and Individuals

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