🚀 ByteBrief - AI-Powered Tech Trend Digest

ByteBrief is an AI-powered system that automatically discovers, summarizes, and archives trending tech topics into engaging Twitter threads. Stay ahead of the curve without lifting a finger!

🌟 Key Features

• 🤖 AI Crew: A team of specialized AI agents working together
• 🔍 Trend Discovery: Automatically finds trending tech topics
• 📝 Smart Summarization: Converts complex news into digestible bullet points
• 🐦 Twitter-Ready Threads: Crafts engaging 2-tweet threads for social media
• 📚 Google Docs Archiving: Automatically saves all threads for future reference
• ⚡ Real-time Updates: Always stay current with the latest tech developments

🤖 Meet the AI Crew

Agent	Role	Specialization
Tech Trend Scraper	Researcher	Finds 3-5 trending tech topics daily
Trend Summarizer	Editor	Converts findings into concise bullet points
Tech Thread Writer	Copywriter	Crafts engaging Twitter threads
Thread Publisher	Archivist	Saves threads to Google Docs

🚀 Quick Start

Prerequisites

• Python 3.13 or higher
• Google Cloud account with Docs API enabled
• API keys for Gemini and Serper

Installation

1. Clone the repository:

   git clone https://github.com/yourusername/bytebrief.git
   cd bytebrief

2. Install dependencies:

   pip install -r requirements.txt

3. Set up environment variables: Create a .env file with your API keys:

   GEMINI_API_KEY=your_gemini_api_key
   SERPER_API_KEY=your_serper_api_key
   GOOGLE_DOC_ID=your_google_doc_id  # Optional

Usage

Run ByteBrief to generate and archive your first tech thread:

python bytebrief_crew.py

Watch as the AI crew:

1. Discovers trending tech topics
2. Summarizes them into concise points
3. Crafts engaging Twitter threads
4. Archives them in your Google Doc

🛠️ Configuration

Environment Variables

Variable	Description	Required
GEMINI_API_KEY	Gemini API key for LLM	✅
SERPER_API_KEY	Serper.dev API key for search	✅
GOOGLE_DOC_ID	Fixed Google Doc ID (optional)	❌

📁 Project Structure

bytebrief/
├── bytebrief_crew.py     # Main AI crew orchestration
├── google_docs_tool.py   # Google Docs integration tool
├── setup_google_docs.py  # Google Docs setup wizard
├── main.py              # Entry point
├── requirements.txt     # Python dependencies
├── .env                 # API keys (not included)
└── credentials.json     # Google OAuth credentials (not included)

🧠 How It Works

1. Discovery Phase: The Trend Scraper agent searches the web for trending tech topics
2. Summarization Phase: The Trend Summarizer refines findings into tweet-friendly content
3. Creation Phase: The Thread Writer crafts engaging 2-tweet threads
4. Archiving Phase: The Thread Publisher saves threads to Google Docs with timestamps

🤝 Contributing

Contributions are welcome! Feel free to:

• Report bugs
• Suggest new features
• Improve documentation
• Add new AI agents

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🙏 Acknowledgments

• CrewAI for the amazing multi-agent framework
• Google Docs API for seamless document integration
• Serper.dev for reliable search capabilities

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Made with ❤️ and ☕ by tech enthusiasts