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Build Your Own AI Content Generator: A Step‑by‑Step Tutorial

1. Prerequisites and Setup

Install Python 3.9+ and create a virtual environment to isolate dependencies.
Sign up for an OpenAI API key and set it as an environment variable for security.
Install required libraries: openai, streamlit, python-dotenv, and pyyaml.

Explore the Chat Completions endpoint: messages structure, roles (system, user, assistant), and temperature/max_tokens parameters.
Write a simple Python function that sends a prompt and returns the generated text.
Handle common errors like rate limits and authentication failures with try‑except blocks.

Create a generator.py module that accepts a user prompt, system instructions, and optional style parameters.
Implement a caching layer (e.g., functools.lru_cache or a simple dictionary) to avoid redundant API calls for identical prompts.
Add a retry mechanism with exponential backoff for transient network issues.

Design a clean UI: text area for prompt input, sliders for temperature and max tokens, and a “Generate” button.
Use st.session_state to preserve generated content and allow iterative editing.
Display the output in a formatted container with copy‑to‑clipboard functionality.

Let users choose from pre‑built “tone” presets (professional, casual, persuasive) that modify the system message.
Implement a few‑shot prompt template: include example input/output pairs to guide the model’s
AI Automation Playbook
Step-by-step workflows for automating content, email, social media, and research with AI agents.
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