Synthetic Hires
summary
AI adoption is creating 50,000 copies of Opus and other agent instances that inject preferences, leak ROI into review load and repeated work, and drive costly inference bills (teams report $500k bills on bottom‑up spend). Isolated person‑agent‑task fits show 10x–100x productivity but the return is buried. Concrete fix: capture repeatable judgment calls as AI‑executable SOPs (Hanks/Hank Wave) on a shared backplane so processes mature, go headless, and drop from Opus to cheaper models over time.
AI-written summary · about
chapters (7)
- 0:00Introduction and context
- 1:11AI as a synthetic hire
- 4:00Judgment calls and slop
- 8:35Why not wait
- 10:20Smarter models and context
- 12:05Maturing agentic workflows
- 13:51Automating workflow capture
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