Step 1
Start with order-state events, fulfillment and tracking data, approved templates and destination rules.
Customers receive late or confusing messages about order progress. In this case, the immediate task is to create delivery-status notifications from reliable evidence. The workflow should produce notification templates and event rules, 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 create delivery-status notifications from reliable evidence.
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 order-state events, fulfillment and tracking data, approved templates and destination rules]. Map messages to verified events, prevent duplicates and clearly distinguish processing, dispatch and delivery states.
Return notification templates and event rules 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.
Customers receive late or confusing messages about order progress. In this case, the immediate task is to create delivery-status notifications from reliable evidence. The workflow should produce notification templates and event rules, 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 order-state events, fulfillment and tracking data, approved templates and destination rules.
Map messages to verified events, prevent duplicates and clearly distinguish processing, dispatch and delivery states.
Deliver notification templates and event rules; 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.
Not necessarily. A label and a physical carrier handoff are different events.
Clear states reduce unnecessary support requests and incorrect delivery expectations.
Start with order-state events, fulfillment and tracking data, approved templates and destination rules. 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.
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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.