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Contributing

PRs welcome. Two rules:

  1. Lessons must be opinionated. "It depends" is not a lesson. Pick a side; explain the trade-off honestly.
  2. Each lesson must end with one concrete exercise. No exercise = not merged.

Lesson template

# 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.

Style

  • 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.

Things we will not merge

  • 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)

License

By contributing, you agree your contributions are licensed under MIT.