Content Genius 2.0

AI-native content operations platform with visual workflow builder, brand RAG system, and multi-model orchestration. Autonomous content creation with 97% margins via self-hosted infrastructure.

36K

Users on v1.0

97%

Gross margins

AI models

Beta

Status

Visual workflow builder — drag-drop AI nodes with streaming responses

Content Genius 1.0 reached 36,000 users before we froze it in 2022. The AI landscape has transformed since then. Version 2.0 is a complete rebuild using 2025 technology: multi-model orchestration, brand-aware RAG, and visual workflows. Built entirely with Claude Code, self-hosted for 97% margins instead of the typical 40-60% SaaS model.

The Problem

Content teams are drowning

Marketing teams need blog posts, social content, emails, and video scripts — all matching brand voice. Generic AI tools produce generic content that requires heavy editing.

No memory, no learning

ChatGPT forgets your brand guidelines every session. Jasper and Copy.ai offer basic templates but no true brand intelligence. Teams waste time re-explaining context.

Brand RAG system — upload guidelines, past content, and customer research for context-aware generation

The Solution

Content Genius 2.0 builds a persistent brand brain. Upload your style guides, past content, and customer research. The RAG system vectorizes everything into searchable embeddings. Every piece of content automatically retrieves relevant brand context — your metaphors, your tone, your formatting preferences. The AI doesn't just write; it writes like you.

Core Capabilities

Visual Workflow Builder

Drag-drop node editor powered by XY Flow. Chain AI models, RAG queries, and transforms. Real-time streaming execution. Save workflows as reusable templates.

Brand RAG System

Upload brand assets: guidelines, past content, research. Vector embeddings via pgvector + Qdrant. Automatic pattern recognition. Every generation pulls relevant context.

Multi-Model Orchestration

Claude Opus for creative writing. GPT-5 for versatile tasks. Gemini for multimodal. Perplexity for research. Choose the right model per node.

Publishing Integrations

One-click publish to WordPress, Webflow, Buffer. Zapier webhooks for custom workflows. Content lifecycle management from draft to archive.

Technical Architecture

Frontend

Next.js 16 with React 19 Server Components. TypeScript strict mode. TailwindCSS v4. Radix UI components. Real-time streaming via Vercel AI SDK.

Backend (Self-Hosted)

PostgreSQL 16 + pgvector for embeddings. Qdrant for similarity search. Redis for caching. MinIO for file storage. Docker-based deployment.

97% Margin Architecture

Traditional SaaS platforms run on cloud infrastructure with 40-60% gross margins. Content Genius 2.0 self-hosts the entire stack: databases, vector stores, file storage. AI API costs are pass-through. Result: 97% gross margins on subscription revenue. This isn't just a product decision — it's a business model innovation enabled by modern infrastructure tools.

Results

Market validation

36K users on v1.0 proved demand for specialized AI content tools. 2.0 adds the capabilities users requested: brand memory, workflows, multi-model support.

Technical achievement

Complete platform built with Claude Code in 3 months. 5 AI model integrations. Production RAG system. Visual workflow engine. Multi-tenant architecture.

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