AI content generation designed around the way a San Jose team actually runs.

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

San Jose 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 California.

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

What San Jose teams tell us when they get on a call.

  • San Jose sits in the middle of Silicon Valley, where the AI bar is set by the companies inventing it - AI here has to be genuinely production-grade, not a wrapper on a public API.
  • The commercial and cultural centre of Silicon Valley, surrounded by the companies that build the models everyone else uses. San Jose businesses expect AI built with real engineering discipline, because they can tell when it isn't.

We work with teams across San Jose: Downtown San Jose · Santana Row · Willow Glen · North San Jose · Almaden Valley · Berryessa.

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How we build AI content generation for a San Jose team.

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

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How the work runs

The outcome for San Jose teams

The shape of the result for San Jose 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

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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.

Try the calculator

*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

How fast could we have AI content generation in production?

Eight to ten weeks for most San Jose 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 does AI content generation cost for a San Jose?

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 if our San Jose 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.

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.