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🐍 Python AI Tools — zNeto.AI

Practical Python utilities built for real AI automation workflows. These scripts are used internally at zNeto.AI as building blocks for larger automation pipelines — extracted, sanitized, and documented for reuse.

Each tool is self-contained, dependency-light, and built to plug directly into n8n workflows, APIs, or standalone automation scripts.


🧰 Available Tools

1. 🧠 Message Classifier

Classifies any text input by intent using the OpenAI API. Returns a structured JSON result ready for downstream routing logic.

/message-classifier


2. 🔗 Webhook Payload Parser

Normalizes incoming webhook payloads from any source into a clean, consistent data structure — regardless of origin format.

/webhook-parser


3. 📊 Automated Report Generator

Takes raw interaction or lead data and generates a structured summary report using an LLM — ready to send to clients or internal teams.

/report-generator


⚙️ Requirements

  • Python 3.10+
  • openai library — pip install openai
  • python-dotenvpip install python-dotenv

Each tool folder contains its own setup instructions.


🔐 Environment Variables

All tools read credentials from a .env file. Never hardcode API keys. A .env.example file is provided in each tool folder as a reference.


👤 Author

José Neto — AI Automation Engineer & Founder @zNeto.AI

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Python utilities for AI automation workflows — message classification, webhook parsing, and automated report generation

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