Banyan Digital
AI Automation & Growth
Ran product and operations for a social platform with 127k+ monthly active users. Diagnosed content production as the real constraint and shipped five AI automation workflows that doubled output per editor-day at flat headcount.
Challenge
Publishing velocity was capped by manual content production, not by demand or traffic. Hiring more editors would have worked, but cost would have scaled linearly with output.
What I did
Identified content production as the binding constraint, then designed and shipped five AI automation workflows on Claude Code and Codex, spanning research and asset collection, content and visual generation, automated video editing, distribution, and a data feedback loop. In parallel I owned the acquisition, activation and conversion roadmap, prioritising by engagement quality over raw traffic, and rebuilt SEO and GA4 measurement around behavioural funnels.
Outcome
Multi-format output (copy, cover images, video, image editing) doubled from 5 to 10 pieces per editor-day at flat headcount.



