Build a Custom AI Research Assistant: Step-by-Step Tutorial with OpenAI & LangChain



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AI Automation Playbook

Step-by-step workflows for automating content, email, social media, and research with AI agents.

Build a Custom AI Research Assistant: Step-by-Step Tutorial with OpenAI & LangChain

1. What You’ll Need Before You Start

  • An OpenAI API key (sign up at platform.openai.com and add $5–$10 in credits).
  • Python 3.10+ installed on your machine and a code editor (VS Code recommended).
  • Basic familiarity with the command line and Python syntax—no AI experience required.

2. Setting Up Your Project Environment

  • Create a new project folder, set up a virtual environment, and install core dependencies (pip install openai langchain python-dotenv streamlit).
  • Store your API key securely in a .env file and load it using python-dotenv—never hardcode keys.
  • Verify your setup by running a quick test script that calls the OpenAI Chat Completions endpoint with a simple prompt.

3. Designing the

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