Variant imagery
Every fabric, finish and color needs its own images and copy before it can launch. You can't photograph every combination.
For Shopify brands · Home & decor first
Fixed-price AI builds for Shopify home & decor brands
I scope it, build it and hand it off. You get working software in your store, not a strategy deck.
Written plan first. Code and accounts stay yours.
Every fabric, finish and color needs its own images and copy before a SKU can launch. I build the pipeline that makes them, with your team approving every image.
- Fixed scope
- Fixed price
- Code you own
The problem
Where the time goes
Three bottlenecks I see in growing Shopify catalogs, and the build that fixes each one.
Content and support load
New SKUs wait on photos and copy. "Where's my order?" tickets pile up. Both pull your team off growth work.
Apps that don't connect
You've tried AI apps one at a time, and none of them talk to your stack. You need one plan and one build that works in your store.
Packages
Pick a starting point
Every offer has a fixed price, a fixed scope and a written deliverable.
AI Opportunity Teardown
A short, written list of the AI builds worth doing in your store, and the ones to skip.
$2,000
1 week
- Async review of the public storefront plus a short intake
- Written one-pager and a 15-minute Loom
- Paid upfront
- 100% credited toward the Audit if booked within 30 days
AI Commerce Audit
A ranked 90-day AI roadmap that fits your Shopify stack.
$7,500
2 weeks
- No more trialling apps at random
- Paid upfront
- 50% credited toward a Pilot or Pipeline within 30 days
AI Pilot / Agent Build
One repetitive job taken off your team. Example: an order-status agent that answers routine tickets and hands the unusual ones to a person.
$10,000
4 weeks
- Built and tested in your environment
- 50% at kickoff, 50% at handoff
AI Product Content Pipeline
New SKUs and new fabric, finish or color options go live with images and copy, without waiting on a photo shoot.
$15,000
5 weeks
- Catalog and source photos in through the Shopify Admin API
- Fabric, finish and color variant renders across products
- Image variants, alt text, descriptions and SEO metafields
- Human review queue before anything is published
- Prompt packs, cost-per-SKU estimate, runbook and training
- 50% at kickoff, 50% at handoff
AI Ops Retainer
The build keeps working as models, the catalog and Shopify change, plus one improvement a month.
$5,000/mo
3-month minimum
- Sold only after a build
- Billed monthly in advance
Start small. The Teardown fee is 100% credited toward the Audit, and 50% of the Audit toward a Pilot or Pipeline, each within 30 days. Teardown and Audit are paid upfront. Builds are 50% at kickoff and 50% at handoff. The Retainer is billed monthly in advance.
How it works
Five steps, all in writing
- 1
Fit call or Teardown
A 20-minute call to pick the right package, or the paid one-week Teardown of your public store.
- 2
Written scope in 48 hours
Fixed price, fixed timeline and a written definition of done.
- 3
Kickoff
You own the accounts. I work with least-privilege tokens stored in your secret manager, then start the build.
- 4
Weekly written updates
Progress in writing. Anything new is scoped and priced before work starts.
- 5
Handoff and runbook
You get working software, a runbook, training and a human review step. My access is revoked at handoff.
Anything not in the SOW needs a signed change order first. It becomes a fixed-price add-on or moves to the next package.
Case study
Product imagery for fabric and finish variants
I built a production pipeline, over about six months, that applies fabrics and finishes across furniture to produce product images. See how it works, and which image models I'm comparing.
Read the case study
About
Nick Jensen, Principal Software Architect
You work directly with the person who builds it. No agency layers.
Built in production
Built a production pipeline over about six months that applies fabrics and finishes across furniture to produce product images.
Commerce architecture
Shopify and Stripe commerce, payments, and AWS microservices.
AI agents
Agent systems, MCP, Gemini Enterprise Agent Platform, Node/TypeScript, Python.
Public work: github.com/ncklrs.
FAQ
Data, ownership and scope
Next step
Book a 20-minute fit call
We'll look at your store together. You'll leave knowing which package fits, or that none does yet.
Or send a short note
Send your store URL and the one thing slowing launches down. I'll reply from the same address.