UFG Content Creator Agent v3: Multi-Brand Scheduled Content Generation with Perplexity Research & Airtable Storage

Problem:

A multi-brand content operation needed to produce research-backed content across multiple brands on a recurring schedule, manually researching topics, writing content for each brand, and storing outputs was unsustainable at scale and produced inconsistent quality across brands.

Solution:

Built a scheduled n8n workflow that triggers every 5 days, reads brand configurations from Gmail, sets brand variables, splits into individual brand loops, and for each brand runs a dual-path content pipeline: Path 1 hits the Perplexity API for live research, passes results to a Content AI Agent powered by Anthropic with Google Docs access, runs output through an auto-fixing parser, then through a Basic LLM Chain with Anthropic for refinement, and stores the final content in Airtable; Path 2 runs a parallel Perplexity research → Content AI Agent (Anthropic + OpenAI + structured parsing) → Basic LLM Chain → Airtable flow, with a Gmail completion notification sent when all brands are processed.

Result:

Delivered a fully automated multi-brand content engine that researches, writes, refines, and stores publication-ready content across all brands every 5 days, with zero manual input between schedule trigger and Airtable delivery.