Step 1
Start with source images, desired background, shadow preference and product-edge examples.
A merchant needs consistent backgrounds across product photos without damaging edges or transparent components. In this case, the immediate task is to replace product-image backgrounds consistently. The workflow should produce background-editing instructions or processed images when tools are available, 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 replace product-image backgrounds consistently.
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 source images, desired background, shadow preference and product-edge examples]. Separate the product from its background, preserve fine or transparent edges and verify that replacement lighting and shadows remain plausible.
Return background-editing instructions or processed images when tools are available 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.
A merchant needs consistent backgrounds across product photos without damaging edges or transparent components. In this case, the immediate task is to replace product-image backgrounds consistently. The workflow should produce background-editing instructions or processed images when tools are available, 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 source images, desired background, shadow preference and product-edge examples.
Separate the product from its background, preserve fine or transparent edges and verify that replacement lighting and shadows remain plausible.
Deliver background-editing instructions or processed images when tools are available; 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.
Their edges and reflections contain background information, so simple removal can erase real product details.
Consistency helps, but the shadow should still fit each object's shape and the scene's lighting.
Start with source images, desired background, shadow preference and product-edge examples. 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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