66°33′S · How we use AI

We pick the AI that fits you — not the priciest one.

AI only makes software affordable if you choose the right tool for the job. Here’s how we think about it, in plain terms — so your budget is realistic and the system actually works.

How we use AI

AI does the heavy lifting.

AI plays two roles here — the tool that helps us build faster, and the engine inside what we deliver. Both work in your favour: more capability, lower cost.

Build engine

AI that helps us build

Agentic coding tools let a small senior team ship in days what used to take months. We pass that speed on to you as a lower price.

  • Claude Code
  • Cursor
  • v0
  • Copilot
Product engine

AI inside what we ship

The intelligence in your product — assistants, automations, document understanding — runs on the model that best fits the job.

  • Claude
  • GPT
  • Gemini
  • Open models

How we pick a model — Accuracy & documents → Claude · General & integrations → GPT · Vision & volume → Gemini · Private data → self-hosted open models.

Model comparison

Which AI model, and why.

The most powerful model is rarely the right one. We match the model to the work so you don’t overpay for capability you won’t use.

ModelStrengthBest forCostData privacy
ClaudeStrong reasoning, long documents, safe, great with toolsAssistants that must be accurate · policy, legal & document work$$Cloud (no training on your data)
GPTVersatile, excellent function-calling, huge ecosystemGeneral features · many integrations · broad use cases$$Cloud (no training on your data)
GeminiMultimodal, very long context, cheap Flash tierImage/document reading at volume · budget-sensitive work$Cloud (no training on your data)
Open modelsSelf-hostable, no per-token cost, full data controlSensitive data · high volume · cost control at scaleInfra onlySelf-hosted — data never leaves you
GroqExtremely fast, near-realtime inferenceLive chat & voice where speed matters most$Cloud

Cost is relative ($ = lower, $$$ = higher). Models update quickly — we re-check specs and pricing before every project.

Automation platforms

Where your workflows should run.

Automation is only cheap if the platform fits the job. Here’s how we choose between the three we use most.

PlatformWhat it isControlCost modelBest for
n8nSelf-hostable automation with real logic & branchingFull — you own itFlat / self-host (no per-op fee)Our default — volume, complex or business-critical flows
MakeVisual, drag-and-drop app-to-app automationMedium — hostedPer-operationFast app-to-app wiring your team can read
ZapierThe simplest way to connect popular appsLow — hostedPer-taskSmall, basic triggers you want live today

How we pick for you

Tied to your budget and your result.

Four principles behind every recommendation we make. No hype — just what earns its keep.

01

Right-sized, not biggest

The most powerful model is rarely the right one. We match the model to the job so you’re not paying premium rates for work a cheaper model does just as well.

02

Budget is a real constraint

We estimate running cost before we build — token spend, hosting, volume — so the system is affordable to run, not just to launch.

03

Your data, your call

Sensitive data can stay on models we host for you, so nothing leaves your business. We tell you the trade-offs plainly.

04

It has to actually work

We ground assistants in your real content and test on your real cases — so the system does the job, not just a demo.

66°33′S · Start here

Not sure which AI fits?

Book a free consultation. We’ll tell you honestly what’s worth doing — and what isn’t — for your budget.