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AI Agents · June 15, 2026 · 1 min read

ContentAgent: I Built a Multi-Agent Blog Writer in a Day

ContentAgent: I Built a Multi-Agent Blog Writer in a Day
LangGraphLangChainAINext.jsFastAPI

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

  1. Research Node: Searches the web for current data.
  2. Writing Node: Drafts the content based on research.
  3. Critic Node: Reviews the draft for accuracy and tone.
  4. Loop: If the Critic isn't satisfied, it goes back to Research or Writing.
  5. 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.

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