๐Ÿ 60/30/10 Lesson 1.1 Check-In
Five agents. 160 hours down to 5 minutes. $7,500/month against a $39K-$59K traditional team.
And the AI? Maybe 20 lines per agent.
This lesson breaks open a real system I built for a mining compliance client in the DRC. Every component mapped to the ratio. Every pricing decision shaped by the architecture.
The course companion has five exercises you run with Claude using your own work. Not hypotheticals. Your actual systems. Your actual pricing questions.
If you've gone through it, which exercise hit hardest? ๐Ÿ‘‡
๐Ÿ” Exercise 1: Break Down Your System โ€” mapping my own build to the layers
โšก Exercise 2: Find the AI That Shouldn't Be AI โ€” this one's changing how I think
๐Ÿ’ฐ Exercise 3: Price It โ€” finally anchoring my rates to real numbers
๐Ÿ›ก๏ธ Exercise 5: Fragility Test โ€” checking if I'm a thin wrapper or actually architectured
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Matthew Creamer
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๐Ÿ 60/30/10 Lesson 1.1 Check-In
Clief Notes
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Jake Van Clief, giving you the Cliff notes on the new AI age.
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