Listing Agent · E-commerce & boutiques
Raw photos in. Published listings out.
The system
human approval gate on generated imagery before anything goes live.
The moat · reliability, not generation
Boring and correct, 500 times in a row.
Anyone can call an image model. The product is the QA layer. Where pixels must be exact — cutouts, shadows, floor placement — the pipeline is deterministic code, not AI: it cannot hallucinate. Generative models are used only where they earn their place (model shots), behind a human approval gate. Copy is generated from your actual product data through validation checks — the system can't invent a fabric, a dimension, or a material that isn't in the source. One wrong description or a six-fingered hand erodes trust instantly; the pipeline exists so that never ships.
What's included
- Photography pipeline — consistent backdrops, shadows, and framing across the entire catalog
- Model shots where the category needs them, human-approved before publish
- Listing copy — titles, descriptions, variants — constrained to your real product data
- Direct publish to your Shopify store; new products flow through automatically on retainer
$2.5–4k
build
$500–750/mo
catalog retainer
Before / after
Pipeline output
Placeholder — drop in the Ohh Bags / NAIFIT before-and-after composites here once the reference catalog run is complete.
How many products are waiting to be listed?
Bring ten raw photos. We'll show you what the pipeline does with them.