AI Agents · June 15, 2026 · 1 min read
ContentAgent: I Built a Multi-Agent Blog Writer in a Day

TL;DR
ContentAgent is a multi-agent system built with LangGraph. It breaks down technical writing into a pipeline: Researcher -> Outline Creator -> Writer -> Critic -> Formatter. It produces ready-to-publish technical blogs from a single prompt.
The Problem
Writing technical content requires deep research and multiple drafts. A single prompt to an LLM often produces generic, surface-level content. I needed a system that loops back, critiques itself, and verifies facts.
Workflow
- Research Node: Searches the web for current data.
- Writing Node: Drafts the content based on research.
- Critic Node: Reviews the draft for accuracy and tone.
- Loop: If the Critic isn't satisfied, it goes back to Research or Writing.
- Format Node: Adds Markdown formatting and SEO metadata.
Results
I used ContentAgent to write part of this portfolio's content. It maintains a consistent technical tone and handles complex multi-step reasoning that a single-prompt LLM would fail at.