Turn messy thoughts into a brief.
Use dictation to capture the ideas, constraints and doubts you'd otherwise edit away.
Make AI useful. Then make it dependable.
Go from a better conversation to an AI skill you can explain, test and maintain. Practical methods for how you think, what your AI knows and where its authority ends.
Practical resources
Each resource is a working method, not another collection of AI tips.
Use dictation to capture the ideas, constraints and doubts you'd otherwise edit away.
Define what your skill does, what it will not do, and how its work is checked.
Stop old drafts, conflicting policies and poorly governed sources producing polished mistakes.
Learn to separate missing evidence, bad retrieval and wrong application.
Your learning path
Seven focused chapters. Start at the beginning or go straight to the problem you're trying to solve.
Work with AI
Make: A six-part brief you can reuse for real work
02Teach judgement
Make: Explicit principles and non-negotiable boundaries
03Build the skill
Make: A complete ten-part skill specification
04Trustworthy knowledge
Make: A knowledge contract and first audit
05Design workflows
Make: A workflow with clear autonomy and recovery rules
06Test AI
Make: A starter evaluation set and scoring rubric
07Operate AI
Make: A repeatable monitoring and maintenance routine
A better way to start
Dictate the messy version. Let the AI structure your goal, facts, assumptions and open questions. Review the brief before you ask it to do the work.
Use the dictation methodA three-step method
Speak
Capture your thinking, including the unfinished parts.
Structure
Ask AI to organise facts, assumptions and questions.
Review
Correct the brief, then ask for the final output.
Lesson library
Search across the individual lessons, or browse by topic.
24 lessons in 6 topics
A better way to think, brief and collaborate.
Evidence, clear boundaries and knowing when to stop.
Turn repeatable thinking into a documented method.
Build sources the AI can actually trust.
Make autonomy proportionate to the task and its risks.
Keep the system useful after the first demo.