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Last updated: August 27, 2026
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Build a Custom AI Chatbot for Your Business: A Step-by-Step Tutorial
1. Prerequisites and Setup
- Set up a Python 3.9+ environment with virtualenv and install core dependencies (openai, python-dotenv, fastapi).
- Create an OpenAI account, generate an API key, and store it securely in a .env file.
- Choose a code editor (VS Code recommended) and verify your setup with a simple “Hello World” API call.
2. Designing the Conversation Flow
- Map out your chatbot’s persona, tone, and key use cases (e.g., customer support, lead qualification, FAQ).
- Define system prompts and message history structure to guide the model’s behavior.
- Plan fallback responses and error handling for out-of-scope or ambiguous user inputs.
3. Building the Backend API with FastAPI
- Create a FastAPI app with a single POST endpoint that accepts user messages and returns AI responses.
- Implement conversation memory using a simple message list or a database for persistent history.
- Add
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