Leveraging patterns: pattern extraction technique

This article is part of a series from Leveraging patterns. Here we cover pattern extraction: analysing content and extracting properties—meaning, themes, language, tone, and more.

Diagram from the original worksheet

What it is

Analyse content and extract properties (for example meaning, themes, language, tone).

Why it works

LLMs encode how meaning tends to be structured in language—statistics over text—and can reflect intent encoded in wording.

Examples of use

  • Extract something specific from user feedback
  • Analyse assumptions or themes in a piece
  • Critique an article or other content
  • Check for biases or gaps in thinking
  • Steelman an opposite view
  • Check how content is framed
  • Divergent thinking (spot narrow framing / bias)
  • Critical thinking (steel-man counterarguments)

Usage example (1)

%CONTEXT%
Describe the content and insert it

%TASK%
Give me concise list of the [themes | properties | language | tone] for this text

Usage example (2)

%ARTICLE%
Insert article

%TASK%
Analyse using "Toulmin Model of Argumentation"

Supporting prompts

Add a line such as:

List some frameworks for analysing [what you want to analyse]

Then plug in the framework you need (Toulmin, stakeholder lens, risk framing, etc.).

References

Background on distributed / contextual semantics (why models can surface themes, tone, and structure) plus structured argument frameworks:


Also in this series

Iqbal Ali

Iqbal Ali

Fractional AI Advisor and Experimentation Lead. Training, development, workshops, and fractional team member.