We've worked with enough operators in Kaikōura to know that the brief that arrives in our inbox is rarely the brief that ends up shipped. The first thing we do on any AI content generation project is sit with your team for a day before we propose anything.
For Kaikōura operators who want a working pilot in weeks, not a year-long programme.
Our goal is to give Kaikōura businesses a three-day weekend, so people can spend more time with their families and the people they love :)
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.
- 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
Without Kiwi Dynamics
With Kiwi Dynamics
What you actually get
Every engagement is scoped and quoted up front. This is what is in the box.
- A working pilot, in productionNot a prototype on someone's laptop. The first slice of AI content generation runs against real work within weeks.
- Your data stays yoursIt runs on your accounts and your tools. If we part ways you keep the system and everything in it.
- The workflow mapped before codeWe write down what good looks like for Kaikōura businesses first, so nobody is guessing at handover.
- Support after it landsThe people who built it stay reachable when the business changes shape around it.
How AI content generation compares
The two things most businesses do instead, and where each one runs out.
| Hiring for it | An off-the-shelf tool | Kiwi Dynamics | |
|---|---|---|---|
| Fit to how you work | Fits perfectly, costs a salary | You bend your process to suit the tool | Built around the workflow you already run |
| Time to something useful | Immediate, and permanent | Quick to switch on, slow to make fit | A working slice in weeks, then hardened |
| Who owns the data | You do | The vendor, on the vendor's terms | You do, in your own accounts |
| When it breaks | That person sorts it, if they are in | A support queue and a ticket number | The people who built it |
| What it costs | A salary, every year, forever | Per seat, forever, used or not | Scoped and quoted up front |
The Kaikōura context, plainly.
- Kaikōura runs on whale-watching, hospitality, and fishing - AI here means handling spikes, language mix, and the weather changing the plan.
- Marine tourism, accommodation, hospitality, and a tight local services sector. AI tools that speak multiple languages and handle weather pivots earn keep.
We work with teams across Kaikōura: Kaikōura township · South Bay · Hapuku · Oaro · Clarence.
Talk to us about this →
How we build AI content generation for a Kaikōura team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Kaikōura business, so value lands before the build is finished. AI content engine.
Talk to usHow the work runs
- Find the one workflowWe look for the job costing Kaikōura businesses the most hours or the most leads, and deliberately ignore the rest for now.
- Ship a working sliceA narrow version goes into production in weeks, against real work, so the value shows up before the build is finished.
- Prove it, then widenWe measure it against what the work cost before. If it does not pay for itself, we say so rather than scaling it.
- Harden and hand overLogging, fallbacks and a real handover, so it keeps running when we are not in the room.
The outcome for Kaikōura teams
The shape of the result for Kaikōura teams: Publishes 4x more content per week without adding headcount. Built on Claude, hardened with the rest of the stack as it scales.
Not your typical AI agency.
Honest about what AI can and cannot do
Ships the one workflow that pays for itself
Hours given back, never the size of the invoice
*Every engagement is scoped and quoted up front. Results vary by workflow and business.
FAQ
How long does AI content generation take to ship for Kaikōura businesses?
We aim for a working pilot inside 4-6 weeks - narrow scope, real Kaikōura businesses data, measurable outcome. From there it's another 6-8 weeks of hardening before you'd consider it production. Full rollouts (multiple sites, multiple teams) typically land in 3-4 months.
Are there hidden costs we should plan for?
Three to know about: model/API spend (which we set up under your own account, not ours, so you see and control it), any new SaaS subscriptions we recommend, and your team's time during rollout. We surface all three in the quote so there are no surprises.
Has this actually shipped for a real Kaikōura?
Yes. Publishes 4x more content per week without adding headcount. We'll share comparable engagements on the call.
Who owns the code and the model setup?
You do, on delivery. We deploy AI content generation into your own cloud account where possible, with the model setup, prompts, evals and integration code all checked into a repo you own. Claude sits in your account too - we don't operate it from ours.
The honest version of a sales call.
No deck. No discovery doc. Just whether this is worth building and what it would cost.
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.