Asavin Wattanajantra

Editorial Intelligence
for the AI era

Editorial Intelligence is the discipline of turning organisational knowledge — research, customer insight, market evidence — into strategic narratives that compound in value over time.

Most organisations generate signals continuously. Few have the systems to recognise which ones matter, build narratives from them, or accumulate evidence rather than recreate it. This site documents the frameworks, methods and working examples of a practice designed to change that.

The Editorial Intelligence Cycle

Signals Observations worth paying attention to
Insights Patterns that reveal strategic meaning
Narratives Positions built from evidence over time
Editorial Assets Reusable articles, frameworks and tools
Evidence New signals generated by published work

Worked example

See how the cycle operates in practice


Frameworks

Reusable methods and models

All frameworks →

Editorial Intelligence OS

The implementation layer

The OS is not another framework. It is how an organisation operationalises the Editorial Intelligence Cycle through repeatable libraries, workflows and AI-assisted processes.

  • Recognise important signals earlier
  • Build stronger long-term narratives
  • Accumulate evidence rather than recreate it
  • Reuse knowledge across teams
  • Apply AI with greater context and editorial judgement
Learn about the OS →