Field notes / AI & automation
Less repetition.
More useful work.
A collection of practical projects connecting information, repeatable processes and human judgement. The interesting part is making the whole workflow work.
Project 01 / Procurement workflows
Project Tenders.
From finding a relevant opportunity to understanding the scope, examining a bill of quantities and preparing a useful review pack.
Read the case study ↗Project 02 / Racing administration
Racing Cost Intelligence.
Exploring how invoice and billing-register workflows can turn recurring racing administration into information that is easier to organise and review.
Explore the project ↗Start with the process.
Then connect the tools.
I use AI-assisted development to turn an operational problem into small, testable steps: understand the inputs, decide what needs a person, build the repeatable parts and check the output. These projects are also a way to learn the less visible work—state, permissions, failures and recovery.
Make the inputs clear.
Know where information comes from and what it actually proves.
Keep decisions visible.
Separate collected facts, assumptions and items needing review.
Build for the next run.
Think about repeat processing, missing data and interruptions.
Always in progress