Griot is live. Heres why I built it.
Ive been a creator, a ghostwriter, and Ive worked at agencies. At every level, the same problem kept showing up. The data was broken.
·7 min read·Austin Kennedy
launchmanifesto
Thoughts on AI, content systems, and personal branding from our team.
Ive been a creator, a ghostwriter, and Ive worked at agencies. At every level, the same problem kept showing up. The data was broken.
Imagine AI is a done-for-you content agency. Griot is a data infrastructure layer. The real difference isnt service vs. software — its whether youre building on a foundation that actually solves the data problem.
Stanley is an AI LinkedIn content coach. Griot is a data infrastructure layer. They solve different problems at different levels — and understanding the difference reveals why getting your data infrastructure right is the hard problem nobody talks about.
AI writes generic content because it lacks personalized context about you. The fix isnt better prompts — its giving AI access to structured, dynamic data about who you are.
To make AI write in your brand voice, you need structured, dynamic context — not just a style guide. Heres the complete framework for making AI actually sound like you.
A brand voice database aggregates your content from podcasts, social posts, and notes into a structured, live system that AI tools can query. Heres how to build one.
Data fragmentation costs content teams 60-70% of their productive time. Writers lose hours each week downloading podcasts, scraping social posts, and hunting through notes — before writing a single word.
Ghostwriters scale by replacing manual context aggregation with automated, dynamic data systems. The bottleneck isnt writing — its gathering context for each client.