New Territories · Applied AI
AI content generation in Sha Tin
AI content generation that lives in your stack, not on a vendor's roadmap. Shipped from New Territories.
What AI content generation actually does
A content engine trained on your voice, not generic SaaS-speak. Service pages, blog posts, social captions, and email sequences that sound like you wrote them at 2am – but didn't.
The reason we take on work in Sha Tin is that the businesses here tend to be sharper about what they want than the brief lets on. AI content generation for a Sha Tin team almost always ends up looking different to AI content generation for a downtown Auckland one.
- 01 Voice and tone trained on your past content
- 02 Built-in NZ-specific spelling, terms, and slang
- 03 Auto-publishes to your CMS, scheduled across channels
- 04 You approve before anything goes live
Built on: Claude Vercel AI SDK Sanity Buffer Ghost
Why Sha Tin businesses choose this
Sha Tin anchors the New Territories' manufacturing, logistics and science park economy – AI here means industrial-scale operations work, not office admin.
Our field notes from Sha Tin builds.
Hong Kong Science Park and a broad manufacturing and logistics base serving cross-border trade with mainland China sit here. Businesses want AI that handles scheduling, compliance and cross-border logistics without becoming the bottleneck.
We work with teams across Sha Tin: Science Park · Tai Wai · Fo Tan · Ma On Shan.
How we build AI content generation for a Sha Tin team
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Sha Tin business, so value lands before the build is finished. Every engagement starts with a short call and a paid discovery if the brief needs one.
AI content engine.
The outcome for Sha Tin teams
Publishes 4x more content per week without adding headcount. For Sha Tin teams, that almost always shows up as fewer interruptions and a calmer week, not a dashboard chart.
Publishes 4x more content per week without adding headcount.
AI content generation in Sha Tin – common questions
How fast could we have AI content generation in production?
Eight to ten weeks for most Sha Tin businesses. Faster if your data is in good shape and slower if we're untangling a legacy integration first. We'll give you a realistic number on the scoping call rather than the optimistic one.
What's the smallest engagement you'd take on?
A two-week paid discovery for Sha Tin businesses that aren't sure whether the build is worth doing at all. You get a one-page write-up of what we'd build, what we'd skip, and what it would cost. About 30% of those discoveries end with us recommending you don't proceed.
Do you have proof this works for Sha Tin businesses?
Direct case study: Publishes 4x more content per week without adding headcount. Happy to walk you through full numbers on a call.
What if our Sha Tin doesn't have any data ready?
Most don't. Getting the data into shape – ingestion, cleaning, the lightweight contracts you need before any model is useful – is part of the engagement. For AI content generation specifically, we typically run that work on Claude, Vercel AI SDK, Sanity, Buffer, Ghost and assume messy starting conditions from day one.
Sketch this with us.
We'll map your real workflow before quoting anything.
Get in touch
Talk to us about this
Tell us what you're trying to do and we'll reply with how we'd build it — no obligation.