Content Methodology
Five questions, asked before writing anything.
GAMMA is a content methodology for getting AI and human writing on-brief, on-voice, and built to survive review. Before a single sentence is drafted, five questions are answered — and those answers do the work of a creative brief.
The Method
What this piece of writing has to accomplish.
Who it's for and what they care about.
The one thing they should take away.
Why they should care or act.
What they should do next.
Goal · Audience · Message · Motivation · Action
The core distinction
Tone modifies register, not voice.
Most AI content fails because tone instructions overwrite the brand's voice. GAMMA separates the two, so output stays on-brand while adapting to the situation.
Co-developed with John Freedman while both were at Symantec.
In Practice
A live GPT implementing the method as a 7-step guided intake — Sender, Goal, Audience, Tone, Subject Line, Motivation, Action — plus a corporate-casual voice spec with a banned-words table and a pre-delivery quality checklist. Built for Proc.us Integrations and tested with real users.
A whitepaper on structured intake plus voice constraint: keeping enterprise AI content on-brand at scale.
Contact
GAMMA is the intake layer behind my consulting engagements — AI workflow design, content systems, and archive & data projects.