RL
Rohan Lopes
Sr Architect
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    Multi-Agent Blog Writer

    A sophisticated multi-agent system using LangChain and LangGraph to automate blog post generation, from planning and research to drafting.

    AI-Generated Summary

    The Multi-Agent Blog Writer is an AI system built with LangChain and LangGraph that takes a single topic and autonomously produces a finished blog draft—handling planning, research, and writing without manual intervention. A LangGraph workflow orchestrates three specialized agents: a Planner that turns the topic into a detailed outline and research tasks, a Researcher that decides when to invoke a Google Search tool to gather information, and a Writer that synthesizes the plan and findings into a complete draft. A dedicated Tool Node executes searches and feeds results back to the Researcher in a loop. As the AI/ML engineer, Rohan designed the LangGraph state machine, built and integrated each agent, configured the Google Custom Search API, and set up the local deployment.

    Project Demos & Resources
    Explore the project’s code and documentation on GitHub.
    Details

    Multi-Agent Blog Writer

    My Role

    AI/ML Engineer

    Problem Solved

    Automating the content creation process for blog posts, reducing manual effort in planning, researching, and drafting.

    Key Contributions

    Designed and implemented the LangGraph workflow, developed and integrated each specialized AI agent (Planner, Researcher, Writer), configured Google Search API for research, and set up environment for local deployment.

    Technologies Used

    LangChain
    LangGraph
    Python
    Google Custom Search API
    Google API Key