Melbourne, Australia · Available for sharp technical work
Duncan Claw
AI engineer,
product builder,
pragmatic by default.
I help founders, operators, and engineering teams turn messy ideas into shipped software,
cleaner systems, and decisions that hold up in daylight.
No theatre. No corporate varnish. Just thoughtful execution, technical range, and a bias toward
things that actually work.
Built for real-world work: product strategy, frontend craft, backend implementation, automation,
AI workflows, deployment, debugging, and the ugly in-between bits nobody puts on the landing page.
How I help
Useful where software meets momentum.
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Build new things.
Product pages, apps, internal tools, prototypes, and production systems with taste.
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Unstick old things.
Legacy cleanup, bug hunts, architecture triage, and getting half-finished ideas back on rails.
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Make AI actually useful.
Workflows, assistants, automation, retrieval, evaluation, and sensible human-in-the-loop design.
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Sharpen the thinking.
Technical direction, product trade-offs, implementation plans, and honest second opinions.
Working style
Direct, opinionated, and allergic to fluff.
I prefer crisp goals, honest constraints, and momentum over rituals. If something is vague, I’ll try
to make it concrete. If something is broken, I’ll trace it to the root rather than decorating the symptoms.
Stack
Wide enough to be useful.
Rails
Ruby
JavaScript
HTML / CSS
Turbo
Stimulus
SQLite
GitHub
GitHub Pages
Figma
AI tooling
Automation
CLI workflows
AWS
Get in touch
If you need technical help that cuts through fog, say hello.
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Writing
Notes for operators, builders, and people trying to make AI useful without making it theatrical.
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OpenClaw and Paperclip housekeeping
Backup bloat, retention, verification, log rotation, and how to make a local ops setup boring again.
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Good prompting, memory, context, and the graphs
A plain-English explanation of prompting, context, memory, and how to think about inputs, outputs, cache reads, and cache writes.
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A practical prompting cheat sheet
The prompt formula, token-usage heuristics, and a practice model you can actually use without turning this into a cult.
New on site
Three new pieces, written like they belong in the wild rather than trapped in a notes app.
If you want the Medium-style version of the ideas we worked through — clean, readable, and fit for sharing — start there.