Full transparency on the 4-agent AI pipeline behind icanbefitter.com — Research, Strategist, Writer, SEO — and why Opus writes but Sonnet does everything else.
Every blog post on icanbefitter.com is produced with the help of AI. Not written by AI. Produced with the help of AI. That distinction matters, and I am going to explain exactly how the system works because transparency is not optional when AI is involved.
I built a 4-agent pipeline that handles the mechanical parts of content production — research, strategy, writing assistance, and SEO optimization. Each agent has a specific role, a specific model, and a specific output that feeds into the next agent. The result is content that carries my voice, my experience, and my perspective, produced at a speed that would be impossible without AI.
Here is the full breakdown. No secrets. No vague hand-waving about "AI-assisted content." The exact system, agent by agent.
Agent 0: The Researcher
Before a single word is written, Agent 0 goes to work. This agent thinks like a journalist. Its job is to gather facts, statistics, unique angles, and relevant context about the topic.
Agent 0 runs on Claude Sonnet — fast, capable, and cost-effective for research tasks. It receives a topic brief — usually a few sentences about what the post should cover — and returns a structured research document. That document includes: key facts and statistics, common misconceptions about the topic, unique angles that most articles miss, relevant personal experience points to weave in, and potential counterarguments to address.
The research document is not the post. It is the raw material. Think of it as a journalist's notebook — full of facts and angles, waiting for a writer to turn them into a story.
Why a separate research agent instead of just having the writer research and write simultaneously? Because separation of concerns produces better results. When an AI tries to research and write at the same time, the research suffers. It grabs the first relevant fact instead of finding the best one. By separating research from writing, each agent can focus entirely on its specialty.
Agent 1: The Strategist
Agent 1 takes the research document and creates the strategic plan for the post. This agent thinks like an editor-in-chief.
Also running on Claude Sonnet, Agent 1 produces: title options (usually 3-5, ranked by impact), the slug (URL-friendly, SEO-optimized), a detailed outline with H2 headings and bullet points for each section, the tone and voice specifications, the target audience definition, and the hook strategy for the opening paragraph.
The strategist does not write the content. It architects the content. It decides the structure, the flow, and the emotional arc. Where should the personal story go? Where should the data land? Where should the reader feel challenged? Where should they feel inspired? These are editorial decisions, and Agent 1 makes them based on what has performed well in previous posts.
This is the agent I interact with most. I review the strategy, adjust the outline if it misses something important, change the angle if it feels too generic, and approve it before the writer touches it. The strategy is where the post succeeds or fails — a well-structured mediocre post outperforms a brilliantly written chaotic one every time.
AI is not magic. It is a well-prompted function. The quality of the input determines the quality of the output. Always.