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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
.envfile and load it usingpython-dotenv—never hardcode keys. - Verify your setup by running a quick test script that calls the OpenAI Chat Completions endpoint with a simple prompt.


