Mini Project: Build a Simple AI Text Generator
Put everything together and build a complete, working AI application. This project is already fully implemented in the Practice section above. Here we review what you built and what to add next.
20 min•By Priygop Team•Updated 2026
What You Built
- A command-line AI assistant that uses the OpenAI API
- Secure API key handling via environment variables
- Conversation history management (multi-turn chat)
- A clear and restart commands for better user experience
- A system prompt that keeps responses beginner-friendly and concise
- Error handling for API failures
Diagram
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Deep Learning ⊂ Machine Learning ⊂ Artificial Intelligence
Next Steps to Extend Your Project
- Add a web interface using Flask (Python) or Express (Node.js)
- Save conversation history to a file so it persists between sessions
- Add topic-specific system prompts (e.g., coding tutor, writing assistant)
- Display token usage after each response so you understand your costs
- Add a simple input validation to prevent very long prompts
- Connect to a different AI provider (Google Gemini or Anthropic Claude) and compare quality
Key Takeaways
- Put everything together and build a complete, working AI application.
- A command-line AI assistant that uses the OpenAI API
- Secure API key handling via environment variables
- Conversation history management (multi-turn chat)