AI content generation that lives in your stack, not on a vendor's roadmap. Shipped from Texas.

Our goal is to give Austin businesses a three-day weekend, so people can spend more time with their families and the people they love :)

The reason we take on work in Austin is that the businesses here tend to be sharper about what they want than the brief lets on. AI content generation for an Austin team almost always ends up looking different to AI content generation for a downtown Auckland one.

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

What you actually get

Every engagement is scoped and quoted up front. This is what is in the box.

How AI content generation compares

The two things most businesses do instead, and where each one runs out.

 Hiring for itAn off-the-shelf toolKiwi Dynamics
Fit to how you workFits perfectly, costs a salaryYou bend your process to suit the toolBuilt around the workflow you already run
Time to something usefulImmediate, and permanentQuick to switch on, slow to make fitA working slice in weeks, then hardened
Who owns the dataYou doThe vendor, on the vendor's termsYou do, in your own accounts
When it breaksThat person sorts it, if they are inA support queue and a ticket numberThe people who built it
What it costsA salary, every year, foreverPer seat, forever, used or notScoped and quoted up front

The pattern across Austin engagements we've shipped.

  • Austin is the tech and startup capital of Texas, and every business here has already seen an AI pitch - AI that ships is the only kind that gets taken seriously.
  • A dense startup and venture scene, major tech company offices, and a live-music and hospitality economy layered on top. Austin teams have high AI literacy already, so the bar is a working product, not a pitch deck.

We work with teams across Austin: Downtown Austin · South Congress · East Austin · The Domain · Round Rock · Cedar Park.

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How we build AI content generation for an Austin team.

We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Austin business, so value lands before the build is finished. AI content engine.

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How the work runs

The outcome for Austin teams

Publishes 4x more content per week without adding headcount. For Austin teams, that almost always shows up as fewer interruptions and a calmer week, not a dashboard chart.

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

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*Every engagement is scoped and quoted up front. Results vary by workflow and business.

How much is not automating costing you?

Nine hours a week of admin is 468 hours a year. With Kiwi Dynamics, that drops to about 52.

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*Based on 9 hours a week of admin at Kiwi Dynamics' typical 80% automation rate. Your number may vary, the calculator uses your own.

FAQ

What's the realistic timeline for AI content generation with an Austin?

Most Austin 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".

What does AI content generation cost for an Austin?

Pilots start from a fixed scope priced to land a measurable result inside 6 weeks. Pricing depends on data volume, integration complexity, and whether you need us on managed services afterwards. We'll quote precisely after a 30-minute scoping call.

Anyone else in this space using AI content generation?

Plenty. Publishes 4x more content per week without adding headcount. The interesting question is rarely "does it work" - it's "is your team ready to use the output." That's what we'd scope on the call.

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.

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.