01
Step 1
Record the pixel dimensions of each source file from the merchant's asset records and the display requirements of every placement it serves, including the larger size needed where zoom is enabled and any marketplace size rules.
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Spark playbook scenarios · Spark: AI Store Assistant
Assess whether image resolution suits the intended placement
One image set serves thumbnails, zoom views and marketplace placements, each asking for a different pixel size. In this case, the immediate task is to assess whether image resolution suits the intended placement. The workflow should produce a resolution assessment listing the action each file needs.
Topic
Product Image Quality and Errors
Target keyword
shopify product image resolution
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 assess whether image resolution suits the intended placement.
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: [source file pixel dimensions, display size requirements per placement including zoom and marketplace rules, and the asset records for verification].
Compare each file's captured pixels against the largest requirement it must satisfy, mark files that would need enlargement beyond their captured detail as re-shoot candidates rather than resize candidates, and note oversized files that add loading cost without visible gain.
Return a resolution assessment per image with the action needed, verified 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.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.
02
Step 2
Compare each file's captured pixels against the largest requirement it must satisfy, mark files that would need enlargement beyond their captured detail as re-shoot candidates rather than resize candidates, and note oversized files that add loading cost without visible gain.
03
Step 3
Deliver a per-image resolution assessment stating the action needed — keep, resize or re-shoot — for each placement, then verify the recorded dimensions against the supplied asset records before any file is reworked.
FAQ
Common questions when running this scenario
Cover decision rules, frequent misunderstandings, and required inputs so the team aligns on prerequisites before execution.
How is a file judged too small?
Its captured pixels are compared with the largest display size it must fill, including the zoom level if enabled; when the placement would stretch the file beyond what was captured, the assessment calls for a re-shoot, since resizing cannot restore detail that was never recorded.
What about files larger than needed?
They are flagged as oversized for their smallest placement because they add loading cost without visible gain, and the assessment names the appropriate size per placement rather than one compromise size for all of them.
Do zoom-enabled images face a different test?
Yes, zoom requires the source to hold detail at the magnified size, since softness a standard listing view hides becomes visible when the buyer enlarges it; wherever zoom is enabled, the assessment marks it as the controlling requirement.
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