Clockwork

AI integration architecture for businesses that build.

Models as components. Infrastructure as strategy. Capability, not dependency.

For engineering-led businesses who want AI embedded properly — not bolted on.

Start a conversation
Precision clockwork mechanism — brass gears and components
Sound familiar?
The AI gap.
The question isn't whether to use AI. It's how — and nothing you've tried so far has stuck.
AI experiments stuck in silos. Proof-of-concepts that never reach production. Individual teams trying things, nothing connecting.
Unpredictable costs. API bills that spike without warning. GPU spend that's hard to forecast. No clear picture of what AI actually costs to run.
Vendor lock-in anxiety. Tied to one provider's API, one model, one platform. No exit strategy. No flexibility when something better arrives.
Security and governance gaps. Data flowing to third-party APIs with unclear policies. No framework for what's safe to automate and what isn't.
Neural network of golden interconnected nodes
Approach
Not another AI consultant.
I build working systems, not strategy documents. The difference matters when the hype fades and you need something that runs.
01

AI as infrastructure

Models aren't magic — they're components. Like databases, queues, and APIs, they belong in your architecture. I help you put them there properly.

02

Capability, not dependency

Every engagement is structured to transfer knowledge, not create reliance. You own the capability when we're done. Your team runs it, not mine.

03

Built with what I sell

I use AI to build AI solutions. This isn't theoretical knowledge — it's daily practice. The tools I recommend are the tools I use.

Services
Three layers. One path forward.
You can start wherever you are. Each stage builds naturally into the next.
Understand

AI Readiness & Education

Cut through the noise. Understand what AI actually is, what's real, what's coming, and what it means for your business specifically.

  • Executive and team AI literacy workshops
  • What LLMs can and cannot do — honestly
  • Opportunity identification and risk evaluation
  • Where automation breaks and where it works
Strategise

Integration Architecture

Map where AI fits in your systems. Not a generic roadmap — a specific, technical plan built around your stack, your data, and your goals.

  • System and workflow analysis
  • Model selection and architecture design
  • Cloud, local, and hybrid strategies
  • Cost modelling and build-vs-buy analysis
Build

Implementation & Transfer

Hands-on building, alongside your team. Working prototypes, production systems, and the knowledge to maintain them without me.

  • Prototype and proof of concept development
  • Production AI pipeline engineering
  • API integration and orchestration
  • Team training and knowledge transfer
Investment
Clear pricing. No surprises.
Transparent pricing. No hidden fees. Here's how engagements are structured.
Understand
$2,500
half-day / from $4,000 full-day
Strategic alignment sessions for leadership and technical teams. Walk away with a clear picture of what AI can and can't do for your business, and where to start.
  • Pre-session business review
  • Facilitated workshop
  • Written summary and recommendations
  • Follow-up call included
Strategise
From $15k
scoped per engagement
Full AI integration architecture. System analysis, model evaluation, infrastructure design, cost modelling, risk mapping, and a phased implementation roadmap.
  • System and workflow deep-dive
  • Architecture documentation
  • Model and vendor recommendations
  • Cost projections and build-vs-buy analysis
  • Phased implementation roadmap
Build
Scoped
project-based or phased delivery
Hands-on implementation alongside your team. Prototypes to production. Every build engagement includes knowledge transfer — your team owns and operates the result.
  • Working alongside your engineers
  • Prototype through to production
  • Documentation and runbooks
  • Team training and handover
  • No lock-in. No retainer dependency.
Brass clockwork gears merging with circuit board traces
Proof of work
Built. Shipped. Running.
A selection of projects that demonstrate real AI integration architecture — from vision pipelines to multi-agent systems to GPU orchestration.
Vision AI + Cloud Infrastructure

TagMills

Semantic image search engine. Vision models analyse images on ephemeral GPU workers spun up on demand via RunPod — processing at scale without permanent infrastructure costs. Search your images by meaning, not filenames.

FastAPI · RunPod · Vision-Language Models · Scheduler · React
Autonomous AI Agent

Justabot

A persistent AI agent with durable memory, persistent state, and tool use — controlling smart home devices, generating images, browsing the web, and managing its own coding sessions. AI as a living system, not a chatbot.

Claude · MCP · Node.js · Tuya IoT · Ollama · ComfyUI
GPU Image Generation Platform

Meld Studio

Full image generation platform with ComfyUI workflow automation, Docker containerisation, and RunPod GPU orchestration. On-demand creative AI infrastructure with a React canvas editor frontend.

ComfyUI · Docker · RunPod · FastAPI · React · Konva
Multi-Agent Architecture

Clockwork Cognitive Council

Multiple AI agents with distinct cognitive profiles debate and synthesise insights through a modular architecture. Used for scenario modelling, decision analysis, and adversarial testing of ideas. Connected via ZMQ message passing.

Python · ZMQ · Multi-LLM · Graph Activation · Modular Architecture
Creative AI Pipeline

Muage

Music-to-visual pipeline that transforms song lyrics into AI-generated artwork synchronised to audio. Songs become moving art that breathes with sound — automated end-to-end from lyrics to rendered video.

Python · Flux.1 · ComfyUI · FFmpeg · Lyrics Processing
AI Memory Systems

Flux Memory

File-based external memory system for AI agents. Persistent, structured, and semantically aware — giving AI systems the ability to remember, reflect, and build on previous interactions across sessions.

JSON · Semantic Indexing · File-based Architecture · LLM Integration
Background
Infrastructure roots. AI present.

Thirty-two years building the systems businesses depend on. Started on SCO UNIX in 1993. Solaris, HPUX, AIX, Linux — if it ran a shell, I've administered it. From rack-and-stack to platform architecture, from DR implementations to virtualisation strategy.

Enterprise infrastructure across banking, telecommunications, healthcare, government, higher education, and aviation. Mission-critical systems, every time. The kind of environments where downtime isn't theoretical.

Now two years deep in AI — not just using tools, but understanding how models work, how to orchestrate them, how to build production systems around them. Forty-plus projects and counting. Building daily.

Few people have spent decades in infrastructure and then gone deep on AI systems engineering. I speak both languages — because AI is the new middleware, and models are the new microservices. The same engineering discipline that made infrastructure reliable is exactly what AI integration needs.

Finance Telecommunications Healthcare Government Education Aviation eCommerce Blockchain
32
Years in infrastructure
40+
AI projects built
6
Production AI systems
0
Slide decks sold
Get started
Let's talk about what AI can do for your business.

Every engagement starts with a conversation. No obligation, no commitment — just an honest assessment of where AI fits and whether I can help.

Melbourne, Australia

jason@clockwork.technology