Experiments

Editorial Intelligence in practice

Everything here began as knowledge — research, customer interviews, organisational expertise, market signals. None of it ended as an article. These are the things that got built instead: diagnostics, tools, workflows and guided experiences that people use rather than read.

They were not planned as a product line. Each came out of editorial work that could have stopped at content and didn't. The point is not to present any of them as finished, but to show what the same evidence produces when the output is something to use.

Frameworks explain the thinking · Methods show the process · Experiments prove the approach

Workflow Active experiment

Continuous publishing

Interrogate the corpus before creating another asset

An experiment in keeping published work inside the knowledge system: new signals are tested against what already exists before choosing to extend, correct, merge, split or create.

Tool Active experiment

Editorial Brief Generator

A prototype for turning raw interviews and notes into structured editorial briefs

Explores whether interviews, transcripts and raw notes can be turned into structured editorial briefs without losing judgement, nuance or narrative quality. The aim is not to automate writing — it is to make the thinking before writing more consistent, reusable and scalable.

Workflow Active experiment

Designed signal gathering

Using knowledge gaps to decide which questions to ask, who to ask and which activities can produce useful evidence

Organisations gather signals constantly through events, webinars, interviews, customer conversations and research. Designed signal gathering starts with what the organisation needs to learn, then chooses the questions, people and activities most likely to produce useful evidence.

Workbook Published experiment

AI Action Workbook

Turning AI curiosity into a 30-day action plan

A guided workbook that turns AI interest into action — combining customer examples, practical exercises, prompts, workflow mapping and a 30-day plan. A demonstration of Editorial Intelligence working as experience design, not just content.

Agent Active experiment

Case Study Agent

AI-assisted transformation of customer interviews into reusable strategic evidence

Explores how AI can help transform customer interviews into reusable strategic evidence rather than one-off case studies — applying the Case Study Intelligence Framework at the speed of a conversation.

Diagnostic Active experiment

Hidden Hours Diagnostic

Turning research into an interactive strategic tool

Transforms the Hidden Hours research narrative into an interactive diagnostic that helps accounting firms identify where operational pressure is creating hidden work — demonstrating how research can evolve into a reusable strategic tool.

About this section

Each entry documents a prototype built and refined in real conditions, or a published asset examined as a demonstration of Editorial Intelligence method. Some are active and evolving. Some are complete. All of them show the approach applied, not just described.

What they share is a starting point: knowledge the organisation already held, and a decision to build something from it rather than write about it. Some of what you know should be built, not published sets out the argument behind that choice, and what still needs testing.