Step 1
Collect the offer terms exactly as recorded, the eligible products, the campaign start and end dates, the brand assets with their usage rules, and the channel sizes and placements each asset version must fit.
Designers receive a vague ask for sale artwork and end up guessing the discount and end date on the banner. In this case, the immediate task is to create promotional image briefs reflecting real offer terms. The workflow should produce one brief per asset restating the offer, range and dates exactly as the merchant recorded them.
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 promotional image briefs reflecting real offer terms.
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 offer terms as recorded, eligible products, campaign start and end dates, brand assets with usage rules, and channel sizes and placements per asset version]. Write one brief per asset version stating the offer value, qualifying range and dates verbatim from the records, specifying the required safe area so the terms remain legible at each size, and marking any size where the full terms cannot fit as a layout problem rather than a copy cut.
Return the promotional content package, then verify each brief against the supplied records 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.
Collect the offer terms exactly as recorded, the eligible products, the campaign start and end dates, the brand assets with their usage rules, and the channel sizes and placements each asset version must fit.
Write one brief per asset version stating the offer value, qualifying range and dates verbatim from the records, specifying the required safe area so the terms remain legible at each size, and marking any size where the full terms cannot fit as a layout problem rather than a copy cut.
Deliver the brief set keyed by channel and size, verify each brief's terms against the supplied records word for word, and confirm every required element, including the terms, sits inside the stated safe area for its placement.
Cover decision rules, frequent misunderstandings, and required inputs so the team aligns on prerequisites before execution.
Each brief specifies a safe area per size, and the terms must sit inside it. Cropped or unreadable terms invite disputes at checkout because the visual implied a broader offer. Sizes that cannot fit the full terms go back for a layout change, never a wording cut.
No, the wording is verbatim from the records. Paraphrasing a discount can change its legal meaning, not just its length. Any change requires merchant approval and a record update before the brief is issued.
Each brief lists the required assets and their usage rules exactly as the brand records state them. Guesswork with logos or imagery recreates design work later. Assets missing from the approved set block the brief rather than being substituted.
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.