A shopper describes what they need in their own words rather than in catalogue terms. In this case, the immediate task is to guide a shopper toward suitable products. The workflow should produce a short list with the reason and tradeoffs for each item, confirmed against the supplied catalogue and current stock.
First replace every [bracketed] placeholder with real store scope and constraints, then add any actual records or data you have, and paste it into your preferred AI assistant or Spark agent. Spark will follow this page's workflow to produce structured output and verification steps.
Act as a Shopify operations specialist.
Help me guide a shopper toward suitable products.
My store context is [describe the business, products and target audience].
My scope is [specify the affected products, pages, customers or reporting period]. Use these inputs: [the shopper's stated requirements including intended use, recipient, budget range, sizes, exclusions and must-have attributes, kept separate from anything inferred, plus the channel in use].
Translate those requirements into catalogue attributes, shortlist the few products meeting every stated requirement, spell out each item's tradeoffs against requirements it satisfies only partly, and exclude any product whose needed attributes the catalogue leaves empty or whose variant is out of stock.
Return the shortlist with tradeoffs noted and every item confirmed against the supplied catalogue and stock for the specified task.
Show the relevant evidence or before-and-after examples and explain how I can verify the result.
If essential data is missing, ask for it and mark unsupported conclusions as unknown.
Do not invent metrics, product claims or customer facts.
For any publication, message, account or store change, use only connected tools within my explicitly authorized scope and report success only after verification; otherwise provide the draft or proposed steps.Split the work into input, judgment, and deliverable phases. Verify each step's output before moving to the next.
Capture what the shopper stated in their own words, covering intended use, recipient, budget range, sizes, materials to avoid and must-have attributes, keep those stated requirements separate from anything inferred, and note the channel the conversation runs on.
Translate those requirements into catalogue attributes, shortlist the few products meeting every stated requirement, spell out each item's tradeoffs against requirements it satisfies only partly, and exclude any product whose needed attributes the catalogue leaves empty or whose variant is out of stock.
Deliver the shortlist with per-item reason, tradeoff and matching attributes quoted, confirm every entry against the supplied catalogue and current stock, and say plainly when nothing matches, offering the closest alternatives with the unmet requirement named.
Cover decision rules, frequent misunderstandings, and required inputs so the team aligns on prerequisites before execution.
Only items meeting every stated requirement belong on it, with partial matches listed separately and the failing attribute named; a long list hands the filtering back to the shopper, which defeats the point of guiding.
Say so plainly and offer the nearest alternatives, naming the requirement each fails; inventing a match pushes the shopper toward a product that will not serve them and increases the chance of a return.
No. Recommendations follow the constraints given, including a stated budget ceiling; a better-fitting item beyond it appears only as a flagged exception with its tradeoff explained, leaving the shopper to decide.
Start with scenarios under the same topic, then expand into cross-topic matches suggested by similarity.
Ciwi Spark builds Shopify-native AI tools and agents around the workflows merchants actually run: research, ads, translation, and customer support. Stop rewriting the same prompts by hand.