A whole collection needs video at once, and without written briefs each shoot drifts in a different direction. In this case, the immediate task is to prepare video briefs for a batch of products. The workflow should produce one brief per identifier covering shot order and permitted claims, each confirmed against the merchant's product records.
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 prepare video briefs for a batch of products.
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: [product identifiers for the collection, verified use steps from the product records, available footage clips with source resolutions, per-channel output formats and aspect ratios, and the merchant's approved permitted-claims list]. Write one brief per product using a shared section order, filling the shot sequence, permitted claims and target formats from the gathered records, and flag for a shoot decision any brief whose use steps cannot be covered by the available footage rather than substituting unverified steps.
Return a batch of briefs keyed by identifier, then confirm each against the supplied product 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.
Pull, for every product identifier in the collection, the verified use steps from the product records, the available footage clips with their source resolutions, the output format and aspect ratio each channel requires, and the merchant's approved list of permitted claims, marking any product without usable footage as blocked.
Write one brief per product using a shared section order, filling the shot sequence, permitted claims and target formats from the gathered records, and flag for a shoot decision any brief whose use steps cannot be covered by the available footage rather than substituting unverified steps.
Deliver the brief batch keyed by product identifier with a coverage summary naming blocked products, reconcile the brief count against the collection's product count, and confirm each brief's claims section matches the merchant's permitted-claims list word for word.
Cover decision rules, frequent misunderstandings, and required inputs so the team aligns on prerequisites before execution.
It is marked as blocked and kept out of the shoot schedule while remaining visible in the coverage summary. A brief cannot specify shots for footage that does not exist, and guessing a sequence risks a reshoot. Blocked products rejoin the batch only after footage is captured or the merchant decides to film them separately.
Only from the merchant's approved permitted-claims list, quoted word for word into the brief. Claims improvised on set can outpace what the product records support and invite disputes. Any wording outside the list needs merchant approval and a record update before the brief is issued.
The brief count is reconciled against the collection's product count so nothing is silently dropped, and each claims section is checked against the permitted-claims list word for word. The coverage summary then shows every blocked or missing product. Any count mismatch blocks the batch from being scheduled.
Start with scenarios under the same topic, then expand into cross-topic matches suggested by similarity.
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