Your whole marketing program. Including the photoshoot.

The 5-phase production system

Phases 00 and 03 halt for your approval. Phases 01, 02, and 04 are automated. Nothing ships to your store without you signing off.

1. 00

   Calibration Halts for human review

   Eight anchor images, one per scene template. You approve the set. That set becomes the locked visual contract for every render after.

2. 01

   Inventory

   I read your Shopify catalog via API. Build a structured manifest: handle, title, type, dimensions, materials, scene-template match.

3. 02

   Generation

   Your brand constitution + the matched scene template + per-product subject block goes to Gemini Image 3. PNGs land in staging.

4. 03

   Human review Halts for approve / reject

   A review batch HTML pairs each staged image with its source product photo. You approve or reject per image, line by line.

5. 04

   Upload

   Approved scenes push to Shopify via GraphQL productCreateMedia. Appended to the gallery. Never replaces your primary catalog photo.

Brand constitution

A JSON spec I write with you in week one. It defines your brand visually: light, palette, architecture, props rules, composition, atmosphere, forbidden territory. Every batch after week one reuses it.

"brand": "Your brand",
"light": {
  "source": "single window natural",
  "kelvin": 3200–4200,
  "time": "late afternoon, golden hour",
  "forbidden": ["overhead flat", "strobe"]
},
"palette": {
  "cream": "#f5f0e6",
  "caramel": "#9c7a4e",
  "warm_brown": "#2a1e15",
  "forbidden": ["pure white", "jewel tones"]
},
"architecture": {
  "walls": "aged plaster, matte",
  "floor": "wide-plank aged oak",
  "anchor": "baseboard or doorway always visible"
}

The 99% fidelity engine

Six mechanical safeguards. Every batch passes through all of them. No vibes.

1. 01

   Multi-angle reference photos

   Your catalog photos passed as inline image data on every generation call, not just text descriptions.

2. 02

   Distinctive features array

   Per-product list of must-preserve details (hardware, joinery, finish, proportions, edge profile) injected into every prompt.

3. 03

   Subject proportions (5% tolerance)

   Width-to-height ratios computed from your dimensions string. Generation rejected if rendered ratio drifts more than 5%.

4. 04

   Scene scale anchors

   Every scene contains a known-size element: baseboard at 6 inches, door at 80 inches, window sash at 36 inches. Forces correct scale on the subject.

5. 05

   Vision QA pass

   After generation, a separate model scores the image on FEATURE, PROPORTION, and COLOR each 1–10. Below threshold, it auto-retries with corrective notes.

6. 06

   SHA256 spec hash

   Every approved image carries a content-addressable hash of the exact prompt, brand constitution version, and references that produced it. Audit trail.

Source → Rendered

Twelve products from Emma Grace Home. Each row pairs the catalog product photo I sent the model as the fidelity anchor with the lifestyle scene the model returned. Same piece, every time. No swapped hardware, no invented joinery, no drift.

• Source

  Rendered

  Dawson entertainment console

• Source

  Rendered

  Cheltenham chair, blue velvet

• Source

  Rendered

  Keswick club chair, antique leather

• Source

  Rendered

  Reclaimed pine, double-arched bookcase

• Source

  Rendered

  Large cabinet, glass panel doors

• Source

  Rendered

  Garcia armchair

• Source

  Rendered

  Tarbes tall mirror

• Source

  Rendered

  Rhone swivel chair, Belgian linen

• Source

  Rendered

  French casement media console

• Source

  Rendered

  Hampden hand-carved arched mirror

• Source

  Rendered

  Lori four-drawer chest

• Source

  Rendered

  Single vanity with drawers

From render to ad

The renders don't sit in a folder. They ship into Meta as finished ads: brand profile, ad copy, link preview, Shop Now button, the lot. Below: five live Meta ads for Emma Grace Home, generated and laid out inside the same engagement that runs the campaigns. No agency middleman, no creative re-brief, no version drift.

Five concepts. Different products, different rooms, different palettes. Same brand visual spine across every ad. Different copy, different offers, different angles for testing. Once your brand constitution is locked, this is what creative velocity looks like: ad-ready output in days, not weeks. And the same operator who renders the imagery sets up the campaigns.

Ship to Google Merchant without flinching

Compliance is wired in at the model layer, not bolted on after.

• Google Merchant 2026 ready

  Every PNG carries IptcExt:DigitalSourceType = trainedAlgorithmicMedia, the disclosure Google has required since 2024. The Q3 2026 C2PA-for-all-creative requirement is already baked in.

• SynthID + C2PA preserved

  Watermarking and content provenance baked in by the model, preserved end to end. Not stripped on upload.

• Alt-text disclosure

  Generated alt text discloses the image as AI-rendered. Shopify and Meta both accept this; it protects you on consumer-protection compliance.

• Never replaces your real product photo

  Renders push to the gallery only. Your primary catalog photo stays the real product. Lifestyle scenes earn the secondary slots.

• Named-designer prompt sanitizer

  Living designer names (the ones at risk in Andersen v. Stability AI) are stripped from prompts before they reach the model. Style without legal exposure.

• Content safety gate

  Auto-rejects faces, hands, text, logos, seals, alcohol, weapons. Catalog-safe by construction.