Revscale Blog Agent: 3-Model Prompt Chaining Pipeline — Webflow Form → AI Outline → Draft → Optimized Post

Problem:

Revscale needed a scalable blog production system that could generate high-quality, structured content without hallucinations or generic output, a single AI model producing full articles in one pass was producing inconsistent quality, mixing research, structure, and writing into one error-prone step.

Solution:

Built a Webflow form-triggered n8n workflow using prompt chaining across three specialized AI agents, the first AI Agent uses Groq (Deepseek) to generate a structured content outline from the topic; the Outline Agent uses OpenAI (o3-mini) to revise and validate the outline for accuracy and relevance; the Blog Agent uses Claude 3.5 (Sonnet) to write the final polished post from the validated outline, variables are then set and the completed post is sent to Relay for transactional email delivery.

Result:

Delivered a production-grade blog pipeline where each AI model handles only what it does best, reasoning, refinement, and writing, producing consistently high-quality articles with reduced hallucinations, cleaner structure, and faster turnaround than any single-model approach.