AAGI Scorecard

Product visuals

Deliver a checked set of product-image variations

A creator’s workflow connects Airtable, Make and image generation. Our project brief adds product-accuracy checks and a bounded delivery scope.

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AI Product Packshots with Airtable + OpenAI
By Business Automated · Original source is in English

Creator’s accompanying article

The business brief

Potential buyer
A small shop needing secondary lifestyle images for existing products.
Defined delivery
Three approved variations for one SKU, a source register and a rejection log.
Where you add value
Preserve the actual product. Check labels, proportions, texture and included accessories against the source photograph.
What could fail
Generation may alter product facts. Tool costs rise with rejected outputs; beautiful but inaccurate images are not acceptable delivery.
Demand test
Try one SKU using authorized images. Ask the buyer to compare each output with the physical item before approving any publication.

A delivery you can check

  1. Obtain product images and brand permission; list facts that cannot change.
  2. Produce a small batch, recording all attempts and paid generation costs.
  3. Reject changed labels, dimensions, materials or misleading use scenes.
  4. Deliver only approved assets with size specifications and usage notes.

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Before you promise delivery

Price the actual work

Cost = labor + revisions + allocated expenses. Target price = cost ÷ (1 − fee rate − target margin). Contribution includes your entered labor cost, but excludes taxes and any omitted overhead. This is not a revenue forecast.

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WorkflowCostCalculate retries, review and recurring operating costs.EvidenceBriefRecord buyer evidence and reasons to stop.AGI cloud membershipCloud saves for these workbench tools. This planner stays local.

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