Step 1
Start with prospect context, inquiry history, offer, communication preferences and follow-up ownership.
Promising inquiries or prospects receive inconsistent follow-up and ownership is unclear. In this case, the immediate task is to draft inquiry emails from verified prospect context. The workflow should produce an outreach draft and follow-up schedule, 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 draft inquiry emails from verified prospect context.
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 prospect context, inquiry history, offer, communication preferences and follow-up ownership].
Draft a relevant message and sequence, define timing and stop conditions and record missing context before proposing any send.
Return an outreach draft and follow-up schedule 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.
Promising inquiries or prospects receive inconsistent follow-up and ownership is unclear. In this case, the immediate task is to draft inquiry emails from verified prospect context. The workflow should produce an outreach draft and follow-up schedule, 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 prospect context, inquiry history, offer, communication preferences and follow-up ownership.
Draft a relevant message and sequence, define timing and stop conditions and record missing context before proposing any send.
Deliver an outreach draft and follow-up schedule; 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. Relevance depends on the inquiry, prior response and fit with the offer.
Stop when the contact opts out, the need is resolved or the defined sequence ends without an appropriate reason to continue.
Start with prospect context, inquiry history, offer, communication preferences and follow-up ownership. 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.