Independent systems practice · Australia
Systems, automation and local-AI tools built with explicit evidence and human control.
Three substantial projects spanning AI orchestration, governed knowledge and local creative production.
A custom AI campaign harness built around bounded workers, explicit contracts, durable evidence and human acceptance.
Public main includes the accepted native Linux work through Phase 5. Later work is intentionally excluded.
Read case studyRepository-centred project memory with explicit authority, provenance and deterministic retrieval.
The core approach and deterministic interface are implemented; private operational memory remains private.
Read case studyA resumable local-AI production system for turning long-form writing into directed, assembled audio.
The production pipeline is active and incomplete; this is not presented as a finished audiobook system.
Read case study02 / Practice
Mick is a career changer with a background in hands-on industrial work. The current practice applies that same fault-finding instinct to Linux systems, automation, local AI and evidence-led project delivery.
He identifies the problem, designs constraints and operating procedures, directs AI-assisted implementation, and decides what evidence is sufficient for acceptance. The contribution is described accurately; neither hidden behind “the AI did it” nor inflated into sole authorship of every line.
Read the working approach03 / Now
Static, dated—not a fake operations console.
04 / Evidence
Case studies distinguish implemented work from active or incomplete work, name the public evidence boundary, and link to source material when that material can safely be public.