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seedling
Naming things with LLMs
A tiny workflow for generating names that don't feel generated.
The default output of any model, asked for names, is a puddle of made-up compound words. The workaround: constrain the search.
Feed it real references, real constraints, and real rejection criteria. Ask it to explain, not just generate. Then throw away 90% of what it produces without guilt.
You're not asking the model to name the thing. You're asking it to widen your search so you can find the name yourself.
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/ More from the garden
seedling
Voice guardrails for AI content
How to encode taste as a rubric so agents don't drift into slop.
sapling
Context is the product
Prompts are cheap; the context you feed the model is the moat.
evergreen
The zag rule
If your competitor could run your prompt and get the same output, you don't have a brand.
