AI Content Pipeline for SaaS Marketing Team

A SaaS marketing team was spending 20+ hours per week manually creating blog posts, social media content, and email sequences. The process was slow, inconsistent, and couldn't scale with their growth targets.

I built an automated content pipeline that takes a single marketing brief and generates multi-format content across channels.

The marketing lead submits a brief (topic, audience, tone, key messages) through a React dashboard

The system routes the brief through GPT-4 and Claude API in parallel, each generating different content formats

Content is stored in Supabase with version tracking and approval workflows

Approved content is pushed to scheduling tools via API

Multi-LLM orchestration (GPT-4 for long-form, Claude for concise social copy)

Brand voice consistency engine trained on existing content

A/B variant generation for email subject lines

Real-time analytics dashboard tracking content performance

LLMs: GPT-4, Claude API

Backend: Python, Supabase

Frontend: React

Data: Custom data pipeline with automated quality checks

Content production time reduced from 20+ hours/week to under 3 hours

4x increase in content output volume

Consistent brand voice across all channels