Gyms · Applied AI

Built for the gym who's already tried the off-the-shelf option and bounced off it.

Gyms are some of the most efficient operators in New Zealand – which means the easy wins from AI knowledge base are usually already taken. The brief we accept is the one focused on the workflow you've tried to fix twice and given up on.

What AI knowledge base actually does

Your team's tribal knowledge, finally searchable. Upload your SOPs, training videos, past emails, and Slack threads – your team asks questions and gets answers with citations.

  • 01 Ingests PDFs, Word docs, videos, Slack, Notion, Drive
  • 02 Answers with citations back to source documents
  • 03 Permission-aware – staff only see what they should
  • 04 Detects stale docs and prompts owners to update

Built on: Claude Pinecone Vercel AI SDK Postgres MCP

From the trenches

The shape of every gym brief we've seen.

  • Gyms and studios live or die on membership retention, and most churn happens quietly, weeks before someone cancels.
  • Lead follow-up, trial conversion, and renewal reminders are the levers that decide a gym's membership numbers.
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How we build AI knowledge base for gyms.

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

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The outcome for gyms

The shape of the result for gyms: New staff get to productive 3x faster – less senior-team interruption. 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

How fast could we have AI knowledge base in production?

Eight to ten weeks for most gyms. 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's the smallest engagement you'd take on?

A two-week paid discovery for gyms that aren't sure whether the build is worth doing at all. You get a one-page write-up of what we'd build, what we'd skip, and what it would cost. About 30% of those discoveries end with us recommending you don't proceed.

Has this actually shipped for a real gym?

Yes. New staff get to productive 3x faster – less senior-team interruption. We'll share comparable engagements on the call.

What if our gym 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 knowledge base specifically, we typically run that work on Claude, Pinecone, Vercel AI SDK, Postgres, MCP and assume messy starting conditions from day one.

Twenty minutes, your call.

You describe what's broken. We'll tell you what we'd actually do about it.

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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.