๐Ÿ 60/30/10 Lesson 1.3 Check-In
VigilOre and NLP Logix aren't isolated wins. They're instances of a repeatable model.
This lesson reveals the training funnel that sits behind all of it. 600+ employees trained across Fortune 500 companies. 95% adoption rate. Industry average is less than 10%.
That gap exists because most AI training teaches tools. Tools decay. The 60/30/10 teaches patterns. Patterns survive tool changes.
The course companion has five exercises you run with Claude using your own work. Your real processes. Your real bottlenecks. Same approach I use when I walk into a Fortune 500.
If you've gone through it, which exercise are you running? ๐Ÿ‘‡
๐Ÿ“‹ Exercise 1: The 60/30/10 Audit โ€” mapping my own workflow to the layers
๐Ÿ” Exercise 2: Find Your Training Data โ€” diagnosing which layer my bottlenecks live in
๐Ÿ“Š Exercise 3: The Leverage Map โ€” calculating my actual time savings
๐Ÿ”„ Exercise 4: Design Your Flywheel โ€” finding where my loop leaks
โšก Exercise 5: Tools vs Patterns โ€” testing whether my AI skills survive the next update
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Matthew Creamer
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๐Ÿ 60/30/10 Lesson 1.3 Check-In
Clief Notes
skool.com/cliefnotes
Jake Van Clief, giving you the Cliff notes on the new AI age.
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