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Spark playbook scenarios · Spark: AI Store Assistant

Create a white-background product image brief

A template asks for a purely white backdrop, while the merchant's shots carry mixed backgrounds and uneven margins. In this case, the immediate task is to create a white-background product image brief. The workflow should produce a reusable brief or a generated cutout, checked against the reference or cutout source supplied.

Topic
Product Image Generation
Target keyword
white background product photo generator
Copyable AI prompt

A prompt you can drop directly into Spark

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.

ai-prompt.txt
Act as a Shopify operations specialist.
Help me create a white-background product image brief.
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: [a clean product reference under neutral lighting, the channel's background value, margin ratio and output dimension rules, and the merchant's contact shadow policy]. Specify even lighting, true-to-reference colour and accurate edge separation in the brief, and flag products with translucent, furry or reflective edges as needing manual edge work rather than a plain cutout.
Return a reusable image brief or a generated cutout with its edge and colour checks noted 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.
Use in Spark
How to solve

A recommended resolution workflow

Split the work into input, judgment, and deliverable phases. Verify each step's output before moving to the next.

01

Step 1

Collect a clean product reference under neutral lighting, the channel's background rules including the required white value, margin ratio and output dimensions, and the merchant's stated policy on contact shadows.

02

Step 2

Specify even lighting, true-to-reference colour and accurate edge separation in the brief, and flag products with translucent, furry or reflective edges as needing manual edge work rather than a plain cutout.

03

Step 3

Deliver the brief or generated cutout, then inspect every edge at full zoom for halos and clipping artefacts, check colour against the reference, and verify the margin ratio and pixel dimensions match the channel's stated template rules before submission.

FAQ

Common questions when running this scenario

Cover decision rules, frequent misunderstandings, and required inputs so the team aligns on prerequisites before execution.

How are cutout edges verified?

Each edge is inspected at full zoom against the reference for halos, clipped outlines and softened transitions, because these artefacts change the apparent shape of the item; any edge that fails is flagged for manual masking rather than accepted as shipped.

Is pure white the same across channels?

No, each channel states its own background value and margin ratio, so the brief records the target rules per placement instead of assuming one standard; an image that passes one template can still fail another's margin or size check.

How are difficult materials handled?

Translucent, furry or reflective products are flagged at brief stage for manual edge treatment, since automatic separation on those materials either eats real detail or leaves a visible fringe that misrepresents the product.

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Next step

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