PRs welcome. Two rules:
- Lessons must be opinionated. "It depends" is not a lesson. Pick a side; explain the trade-off honestly.
- Each lesson must end with one concrete exercise. No exercise = not merged.
# Lesson NN: title
## TL;DR
One paragraph: what this lesson teaches and why it matters for a solo operator targeting outlier outcomes.
## Core idea
The 1–3 framework-level points.
## How it works in practice
Examples, decision matrices, code, math, whatever fits.
## Common traps
Things smart people get wrong here.
## Exercise
One actionable thing to do in the next 1–7 days.
## Further reading
2–5 links. No more.- Terse. Cut the fluff. If a sentence isn't earning its keep, delete it.
- Specific over general. "Charge $99/seat/mo" beats "price appropriately."
- Numbers where possible. Show the math.
- Honest about failure modes. What kills people doing this? Say so.
- No hype. "AI changes everything" is a tell that the writer hasn't shipped.
- Lessons that boil down to "use [my framework]"
- Lessons that promise outcomes without explaining the survivorship bias
- Lessons that confuse "tools I like" with "tools that win"
- Posts about LangChain (sorry)
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