Every day I see someone bolt an LLM onto something a shell script did better. The best AI practitioners I know are the ones who draw the line early: - Deterministic task, fixed rules? Script it.
- One-off analysis with judgment? Ask a human or a cheap model.
- Open-ended, branching, context-heavy? Now AI earns its keep. The $0 automation stack I run uses AI for exactly one step (summarizing news) and plain code for everything else. That's the whole secret: AI where it compounds, code where it doesn't. What's something you tried to do with AI that you now do without it?
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