Paul
busy...

Hi, I'm Paul.

I love building stuff. 25+ years of shipping software, a decade making SEEK scale, and now architecting the AI systems that come next - plus a few of my own on the side.

Australia | Tech-first | Outcome-driven
Solution Architect, Data & AI @ SEEK
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Latest Posts

Testing the Loop That Runs While You Sleep
The 15-phase run found five bugs in kodr2's loop scripts, and four of them failed silently - the run looked healthy while it was already broken. So the scripts finally got tests: a scripted kodr on PATH, a real temp git repo, 31 cases in nine seconds. Then the drift guard turned out to need a guard of its own.
Read post
Woot - Fable 5 stays in the subscription
Anthropic walked back pulling Fable 5 out of the subscription plans. Which, for me, is the whole difference between using it and not.
Read post
Looping a One-Shot Harness
Claude Code sorts agent loops by trigger and stop condition. Where does a zero-dep, one-shot harness sit? It already has the per-iteration parts - the outer loop is a shell script. The one thing a shell can't fake is a fuzzy stop condition, so kodr2 gets a `goal` command: iterate until a read-only model judge says met. The first live run caught one real bug, the next caught three more, and a 15-phase build over two long runs caught five more - one of them a fix that regressed before it stuck.
Read post
// what I do

Systems, and AI that scales

I design and deliver reliable systems that are easy to evolve, operate, and scale.

Software architecture and technical strategy
Cloud-native platforms (AWS, GCP and Azure)
Python/TypeScript backend and frontend builds
Event-driven systems and integrations
Data modeling and performance
Agentic systems and LLM features that are practical, not hype (agents that do stuff)
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Hands-on & pragmatic

Clear architecture, minimal complexity
Shipping in small increments
Strong defaults: observability, security, reliability
Clean boundaries, sensible automation, maintainable code
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What I'm up to

At SEEK, on the Data & AI team - architecting generative AI across the platform: job-candidate matching, assistants, hirer automation, and the patterns and guardrails that let teams ship AI features that scale and stay sane.

Building Agentic Diagrams - a tool for visualising agentic systems, with an AI Architect that designs alongside you and an open-source schema (.agentic.yaml) so your architecture lives in your repo, not a screenshot.

Building Kodr in public - a zero-dependency coding harness for local LLMs. Every phase ships with a blog post: the decisions, the failures, and the evals to prove it.

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Let's talk

If you want to talk architecture, agentic AI, AWS/GCP, TypeScript systems, or practical AI features - reach out:

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