Resources

Practical techniques and frameworks.

The methodology behind the AI Readiness Diagnostic is published in writing as long-form essays, one per strategic question. The pages below are the practical complement: prompting frameworks, techniques, and partner-level decision tools that the long-form essays draw on.

These are evergreen reference material — not on the cadence, not paired with LinkedIn posts. Read in order if you want a structured introduction; jump to whichever fits the work in front of you.

Start here
01
One Prompt, One Job
The simplest improvement you can make to AI output — stop asking for ten things at once
02
The RTCF Prompting Framework
Four slots when CRAFT is too many — the framework I reach for first
03
The CRAFT Prompting Framework
Five slots that turn vague AI output into something a partner would sign
04
Managing Context with AI
The underrated skill that turns long messy conversations into useful work
Going deeper
05
Seven Useful Prompt Techniques
Beyond CRAFT — specialised techniques worth knowing for partner-level work
06
RE2 Prompting
Re-read for better reasoning — the simplest improvement you can make to a complex prompt
07
Cognitive Prompting
Designing prompts that build judgement, not just produce output
08
Prompt Chaining
Structured multi-step AI workflows — the difference between a clever chatbot and a working production line
09
Prompt, Context, Harness
The three layers of AI engineering — and where the leverage actually is for a small firm
At partner level
10
Strategic Prompting
Three techniques for partner-level decisions — when you want AI as a thinking partner, not a content generator
11
The Question Architect
Expertise in the age of AI — and why your firm's value is moving from the answer to the inquiry
12
Prompt Engineering Worksheet
Six regulated-firm scenarios — work through one in three rounds and you will see the difference structure makes