Step 1
Start with shopper requirements, catalog attributes, current availability and recommendation constraints.
Shoppers need help choosing among products, but generic recommendations do not reflect their needs. In this case, the immediate task is to guide a shopper toward suitable products. The workflow should produce a reasoned product shortlist or recommendation dialogue, using the merchant's actual records and constraints.
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: [provide shopper requirements, catalog attributes, current availability and recommendation constraints]. Match stated needs to supported product attributes, explain tradeoffs and ask targeted questions where preferences are missing.
Return a reasoned product shortlist or recommendation dialogue 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.Start with the business context, the trigger, and the expected output before moving into the execution steps.
Shoppers need help choosing among products, but generic recommendations do not reflect their needs. In this case, the immediate task is to guide a shopper toward suitable products. The workflow should produce a reasoned product shortlist or recommendation dialogue, using the merchant's actual records and constraints.
Split the work into input, judgment, and deliverable phases. Verify each step's output before moving to the next.
Start with shopper requirements, catalog attributes, current availability and recommendation constraints.
Match stated needs to supported product attributes, explain tradeoffs and ask targeted questions where preferences are missing.
Deliver a reasoned product shortlist or recommendation dialogue; verify the result against the supplied records and identify unresolved inputs.
Cover decision rules, frequent misunderstandings, and required inputs so the team aligns on prerequisites before execution.
No. Fit with the shopper's requirements and constraints is more important than price alone.
It lets shoppers judge whether the suggested product actually addresses their needs.
Start with shopper requirements, catalog attributes, current availability and recommendation constraints. These inputs establish the relevant scope and help separate an actual issue from missing information or an unsuitable comparison. Without them, the result should remain a proposed approach rather than a confirmed diagnosis.
Start with scenarios under the same topic, then expand into cross-topic matches suggested by similarity.
Shoppers need help choosing among products, but generic recommendations do not reflect their needs. In this case, the immediate task is to r…
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Important specifications or attributes are absent or inconsistent across supplier records. In this case, the immediate task is to identify a…
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.