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Angus, Jáuregui Lorda and Monasterio TattersallLivestock

AI-generated flyers that actually look on-brand

Every auction needs its flyer: same structure, different data, 35 minutes of design each. Now it takes under five, and it comes out on-brand.

35 → 5

minutes per piece

40

pieces per month

3

brands with their identity respected

AI flyer generator: client selection, auction details, reference artwork and output format
The generator runs inside the agency’s internal dashboard, so it is not public. The operator picks the client — each with its own brief and reference artwork —, enters the auction details and chooses the format: feed or story.

The problem

Every livestock auction needs its flyer: always the same structure, always different data. By hand that is about 35 minutes per piece. And generic AI produces things that do not look like the brand — which is why almost nobody uses it in production.

What we did

We built an app where the operator picks the client, enters the auction details, and gets the finished flyer. The key was not the model: we wrote a brand brief per client — exact colors, typefaces, tone, hierarchy, which logos belong — plus a set of reference artwork specific to each one, so the AI produces pieces recognizable as that brand. A breeders’ association does not communicate like an auction house, and the brief says so explicitly.

Every generated piece is logged to a spreadsheet for quality control. We also built a white-label version of the generator, ready for another agency to run with its own clients.

The outcome

From 35 minutes to under 5 per piece, with visual consistency held across three different brands.

Built with

  • Next.js
  • Image-editing AI
  • Executable brand briefs
  • Google Sheets

This case is part of Automated Operations

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