Hong Kong Island · Applied AI
AI content generation in Cyberport
AI content generation designed around the way a Cyberport team actually runs.
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.
Cyberport businesses don't need another generic AI pitch. AI content generation only earns its keep when it's built around the workflow you actually run on a wet Tuesday, and that's how we scope every engagement we take on in Hong Kong Island.
- 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 Cyberport businesses choose this
Cyberport is Hong Kong's dedicated tech and fintech precinct, purpose-built to house the city's startup and digital economy – AI here is judged by founders and engineers, not procurement committees.
Our field notes from Cyberport builds.
A government-backed tech park concentrating fintech, AI and digital media startups alongside venture capital and accelerator programs. Businesses here expect AI built with real technical rigor, since many of them build software themselves.
We work with teams across Cyberport: Pok Fu Lam · Telegraph Bay · Wah Fu · Aberdeen.
How we build AI content generation for a Cyberport team
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Cyberport 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 Cyberport teams
If we build the right slice first, Cyberport teams feel the difference inside the first month. Publishes 4x more content per week without adding headcount.
Publishes 4x more content per week without adding headcount.
AI content generation in Cyberport – common questions
What's the realistic timeline for AI content generation with a Cyberport?
Most Cyberport businesses have their first usable slice in week 5 or 6. We'd rather ship narrow and real than broad and aspirational – your team gets to use the thing well before the engagement is "done".
Is AI content generation worth it for a smaller Cyberport?
Often, yes – and counterintuitively the ROI is sometimes faster than for the big end of town because there's less integration overhead. We'll tell you honestly on the scoping call if it isn't.
Can you walk us through a comparable build?
Yes – on the first call we'll pick the closest engagement we've shipped to what you're describing and walk through the outcome, the headcount and the time it took. Publishes 4x more content per week without adding headcount.
What happens if we want to swap a vendor out later?
AI content generation is built behind a small adapter layer specifically so swapping a model provider or a data source is a one-day job, not a re-architecture. Claude, Vercel AI SDK, Sanity, Buffer, Ghost are our defaults, but the build is intentionally portable.
One reply, one direction.
We don't run sequences or follow-up automation. One useful answer, one decision on your side.
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.