XBotter CLI
I built XBotter to generate and post tweets with AI. With compatibility for any AI model, you can effortlessly swap API keys to tailor the experience to your needs. Let AI take your Twitter engagement to the next level.
Tech Stack
- • Node.js & TypeScript
- • X API Integration
- • AI Language Models
AI Integration
- • NLP to train and fine tune models on previous tweets
- • GPT-4 tweet generator based of prompts and keywords
⚠️ Development Challenges
Navigating API rate limits, content moderation, and maintaining authentic engagement while automating posts. Oh, and not getting banned from twitter too. I prompted my model to swear like nobody was there and boy did it. A week later my account got a short term restriction lol.
Architecture
Development Process
The initial XBotter concept was to act as a smart twitter bot on a leash. Restrain it with a prompt, get it used to your 'schedule', and feed it keywords whenever you think it gets hungry.
Core Features
Key components and functionality that power the automation engine are Open AI's GPT-4 model, Twitter V2 Auth, and some lines of code for the bot to operate within certain scopes and restraints. XBotter empowers you to build and engage your Twitter community like never before.
Thanks and References
Inspired by Ryan Carmody's tutorial and Gabe's support
Disclaimer
This is an experimental project showcasing AI capabilities. Use responsibly and in accordance with X's Terms of Service.