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AI Automation Playbook
Step-by-step workflows for automating content, email, social media, and research with AI agents.
Build Your First AI-Powered App: A Step-by-Step Tutorial with OpenAI & Python
1. What You’ll Build & Why It Matters
- Project overview: A command-line AI assistant that answers questions, summarizes text, and generates creative content using the OpenAI API.
- Real-world use case: Automate customer support drafts, brainstorm marketing copy, or build a personal research helper — all with less than 100 lines of code.
- Key skills you’ll learn: API authentication, prompt engineering, handling streaming responses, and basic error handling in Python.
2. Prerequisites & Environment Setup
- Tools you need: Python 3.9+, a code editor (VS Code recommended), and an OpenAI account with API access (free credits available).
- Install dependencies: Run
pip install openai python-dotenv— we’ll keep the API key secure using a.envfile. - Get your API key: Step-by-step


