Auto repair shops · Applied AI

AI content engine, built around how a auto repair shop actually works.

There is a version of AI content generation that auto repair shops buy off a shelf and quietly stop using inside a month. Then there's the version that's wired into your real workflow, owned by a person on your team, and still in use a year later. We only build the second 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

Sector reality

Auto repair shops need software built around their week, not against it.

  • Mechanics quote from underneath a car and answer the phone from underneath a car, and one of those always loses.
  • Booking, quoting, and parts follow-up are the admin layer that decides how many cars a workshop can turn over in a week.
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How we build AI content generation for auto repair shops.

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

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The outcome for auto repair shops

The shape of the result for auto repair shops: 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

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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.

Questions

FAQ

What's a typical engagement length for auto repair shops?

Six to twelve weeks for the build, then a short managed-services month while the system goes from "shipped" to "owned by your team". After that you keep us on retainer if you want, or take it from there yourself.

Do you do hourly billing or fixed price?

Fixed price for the pilot, every time. After that it's your call – fixed price per milestone or a small monthly retainer for ongoing iteration. We don't run open-ended T&M because it disincentivises us from finishing.

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.

Can you work with our existing systems?

Yes. The default AI content generation stack we reach for is Claude, Vercel AI SDK, Sanity, Buffer, Ghost, but we'll bend it around whatever you already run – Xero, HubSpot, Shopify, Cin7, your own in-house apps. The discovery week maps every data source before any build starts.

Ready to talk specifics?

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Tell us what you're trying to do and we'll reply with how we'd build it — no obligation.