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Spark playbook scenarios · Spark: AI Store Assistant

Generate an AI-assisted product-page draft

Drafting pages one by one is slow, yet generating them freely yields confident sentences the data never supported. In this case, the immediate task is to generate an AI-assisted product-page draft. The workflow should produce a draft whose copy comes only from verified inputs, listing every unsupported line and every asset still outstanding.

Topic
Product Page Creation
Target keyword
shopify ai product page 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 generate an AI-assisted product-page draft.
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: [verified product facts, existing image inventory, audience and tone notes, the merchant's section structure, and the source record certifying each fact].

Generate each section's copy only from those certified inputs, tag every line no input supports as unverified, and leave any required field whose value is missing marked rather than filled with plausible wording.
Return the draft with its asset requirements and the unresolved inputs listed, checked against those 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.
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 the verified product facts, the existing image inventory, audience and tone notes, and the section structure the merchant wants, and record which record certifies each fact so every claim can be traced to a source.

02

Step 2

Generate each section's copy only from those certified inputs, tag every line no input supports as unverified, and leave any required field whose value is missing marked rather than filled with plausible wording.

03

Step 3

Deliver the draft with a per-section asset list and an unresolved-input register, then verify line by line that every factual claim maps to a named record and that each unverified tag is resolved or cut before publication.

FAQ

Common questions when running this scenario

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

Can generated copy be published without review?

No. The generator recombines only the inputs it was given, so a fluent sentence can still assert a spec, fit or material that no record confirms. Every line must be traced to a certified input, and any line still tagged unverified must be cut or resolved before the page goes live.

What inputs does the generator need?

Verified specifications, the image inventory, audience and tone notes, the applicable policy wording, and the intended section structure. Missing inputs do not stop generation, but they force either generic filler or unverified claims, so the draft lists each gap as unresolved instead.

Does a draft include the images?

It lists each required asset with its purpose, target section and required size, drawn from the image inventory. Slots with no verified image are marked outstanding rather than filled with placeholder or stock visuals that imply the product looks different.

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Next step

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