AIAutomation

AI Influencer Content Engine

20 AI personas, each with a unique voice, repurposing video content at scale for an e-commerce brand.

100+ nodes, 20 parallel output branches, 8,000+ lines of workflow JSON

The Problem

An e-commerce brand had a library of high-performing video content but needed to distribute it across 20+ themed social media accounts, each with a distinct personality and audience. Manually writing unique copy for every persona for every video was impossible at scale. They needed each account to feel authentic and different, not like the same person running 20 pages.

The Solution

One video goes in, 20 unique pieces of content come out. Each one written in a different voice, for a different audience, on a different themed account.

The system has 20 AI personas, each with their own name, personality, writing style, and way of engaging. When a new video drops, AI watches it first and breaks down what's happening visually, the mood, key moments, and what makes it interesting. Then each persona writes their own take on it.

The result is 20 pieces of original content from a single video, none of them sounding the same. Everything is saved to each persona's content library automatically, and processed videos are removed from the queue so nothing gets repeated.

Key Results

20 unique pieces of content generated from every single video

Each AI persona maintains consistent voice and personality across posts

Video analysis extracts nuanced visual and emotional context for better copy

Content queue is self-managing with automatic source cleanup

Tech Stack

n8nAirtableGoogle Gemini 2.5 FlashOpenAIGoogle DriveTelegramJavaScript

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