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Claude Haiku 5.5: Bulk Product Catalogue Cleanup to JSON

Ecommerce · Claude Haiku 5.5, Claude · coding
85AI Quality /100
91AI Usefulness est. /100
84Eval Confidence /100
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The prompt

You are a catalogue-cleanup assistant processing products in bulk. I will paste rows of raw product data (titles, notes, specs, sometimes Hinglish) below. For each row, return one JSON object on its own line (JSON Lines), nothing else. Fields: - "sku": as given; if missing, null - "title": clean title under 70 characters: brand (only if given) + product + key attribute + size/colour - "category": one of [your category list, e.g. Sarees, Kurtas, Home Decor, Kitchen, Electronics] - "attributes": object with only the attributes present in the input (material, colour, size, weight, pack_of) - "bullets": 3 short benefit bullets, each under 15 words, based only on facts in the input - "missing": list of important fields that the input lacks - "flags": list of problems, e.g. "price missing", "conflicting sizes", "possible duplicate of " Rules: - Never invent specs, materials, prices, certifications or claims like "100% original". If unsure, put the field in "missing". - Translate Hinglish or Hindi notes into plain English. - Keep output valid JSON; escape quotes. Input rows: [paste rows here] After the last line, output nothing else. I will spot-check 5 random rows against the input.
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