Start narrower than the big vision.
Begin with one independently sourced or permissioned material stream, its specification, buyer requirements and delivered economics before considering broader optimisation.
FIELD NOTE / 001
05 / FIELD NOTES · LEARNING
What the work is
teaching.
Short evidence-led notes from industrial research, AI testing, value discovery and the reinvention process.
Operational memory is an asset.
Experienced people hold contextual judgement that often never reaches SOPs, databases or formal training material.
FIELD NOTE / 002Generic AI is not a moat.
Defensibility comes from specialist context, permissioned data, workflow integration, testing and real outcomes.
FIELD NOTE / 003Status is not motivation.
IDEA, VALIDATING, TESTING and READY mean different things. The label should reflect evidence, not enthusiasm.
FIELD NOTE / 004The documentary stays personal.
Other factories and Port Adelaide history support the story. The centre remains the miller, the closure, redundancy and the next chapter.
FIELD NOTE / 005The website supports the work.
Once the platform is coherent, real pilots, users and evidence matter more than endless redesign cycles.
FIELD NOTE / 006Begin with the experience you already have.
Make a record of the tasks you can do, the judgement behind them, and the conditions you need in your next chapter. Use AI to organise possibilities, then choose a small real-world test.
Explore the career restart guideTraceability travels beyond the mill.
Document coordination and knowledge capture share a useful principle with grain intake: know where information came from, what has been checked, and what still needs review.
Explore the Concierge direction