Nexus: A Three-Pronged Agentic AI System for Intelligent Research & Analysis

3-agent system for automated research discovery and synthesis

Nexus is an advanced multi-agent AI research and analysis system designed to automate the end-to-end workflow of information gathering, fact-verification, structured article generation, and multi-format storage. Traditional research workflows require rigorous manual searching, filtering, validation, note-making, and synthesis — processes that are time-consuming, cognitively heavy, and prone to omissions or inconsistencies. Nexus eliminates these inefficiencies through an orchestrated pipeline of three highly specialized AI agents, each responsible for one phase of the research lifecycle. The system integrates web scraping (Google Search API, Wikipedia API, ArXiv API), natural language processing, fact-checking, document generation, and agentic reasoning into a seamless fully automated process. Built with Flask, LangGraph, React, and Tailwind, Nexus is optimized for both backend efficiency and frontend usability. It supports tone customization, multi-format exports (.md, .json, .pdf), and includes an interactive UI for monitoring research progress.

Key metrics

  • Average Processing Time: <8 seconds
  • Sources per Query: 3–10
  • Article Structure: 6 sections
  • Fact-Check Coverage: 80–100%

Tech stack

Python, Flask, LangGraph, React.js, Tailwind CSS, Framer Motion, Google Search API, Wikipedia API, ArXiv API, Google Fact Check API, Google Gemini LLM, WeasyPrint

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