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The recommended prompt instructs the model to create novel, never-before-seen product classifications that best fit a search query.
An illustrative prompt: tell the model to devise novel furniture/home-goods classifications fitting a query, given example classification shapes, then supply the query (e.g. 'brown coffee table'). ✦ AI generated
the author (quoting Doug Turnbull's example prompt) · Simon Willison's Weblog · 2026-08-14 · original ↗
Your task is to create novel, never seen before, furniture, home goods, or hardware classification that best fit a search query. ... Here's the query to generate classifications for: brown coffee table
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gives example → A tag vocabulary of 1,856 entries is too large to feed to an LLM in one shot as a flat multiple-choice 'which of these tags match' prompt.the author · Simon Willison's Webloggives example → Instead of classifying against a fixed tag vocabulary, let the model freely hallucinate candidate tags, then resolve them to concrete existing tags via vector embeddings over the corpus.the author · Simon Willison's Weblog