Playbooks
Practical ways of working with AI.
Repeatable workflows, patterns and useful methods - with general AI conceptualisation and practical application.
Playbook
Before the Coding Agent: Build the Project Context First
A practical workflow for turning messy planning conversations into reliable project context before coding begins.
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Playbook
Don’t Fix the Output — Fix What’s Underneath
How to recognise when repeated AI mistakes are symptoms of a deeper problem in the data, rules or source of truth underneath.
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Playbook
AI Skills: Stop Teaching the Agent the Same Job Twice
How AI skills package repeatable ways of working so you stop rebuilding the same instructions every time.
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Playbook
Iteration Discipline: Give AI Enough to See the Destination, Not Enough to Get Lost
How to give coding agents enough context to see the goal while keeping each stage small enough to review and steer.
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Playbook
Why .md Files Matter So Much in AI
How simple Markdown files become a persistent control layer for AI agents—and how to keep that guidance useful.
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