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AIsa Cookbook

Welcome to the AIsa Cookbook! This repository contains a collection of standalone, ready-to-run recipes for building AI agents and automated workflows using the AIsa.one ecosystem.

Each recipe is designed as a completely independent project. You can copy any folder out of this repository, install its specific requirements, configure your API keys, and run it immediately!

📚 Available Recipes (Python)

Below is a summary of the fully-functional agents and scripts currently available in the python/ directory:

Recipe Description AIsa Features Used
01. Viral X/Twitter Thread Bot Automates social media growth by finding the latest engaging facts on a topic and crafting a viral 5-part Twitter thread. LLM Gateway (gpt-4o), Tavily Web Search
02. Automated Investment Memos Transforms hours of manual equity research into an automated investment memo with live data synthesis. Live Financial Metrics, Earnings Press Releases, News, LLM Gateway
03. Academic Fact Checker Rigorous researcher that searches peer-reviewed studies to mathematically fact-check any claim and generate markdown reports. Smart Search API, LLM Gateway (gpt-4o)
04. Trend-to-Video Creator Fetches top real-time trends from X, crafts cinematic prompts, and generates AI video automatically. Twitter API, AIGC Video Synthesis, LLM Gateway
05. CEO/CFO Trade Monitor Monitors SEC filings for specific stock tickers to fetch insider trades, then analyzes structural buying or dumping by executives. Insider Trades API, LLM Gateway (gpt-4o)
06. Crypto Sentiment Trader Fetches live crypto prices and breaking news, then synthesizes fear & greed sentiment to make Buy/Sell/Hold decisions. Crypto Prices Snapshot, News API, LLM Gateway

🚀 Quick Start

To run any of the recipes in this cookbook:

  1. Clone the repository:

    git clone https://github.com/AIsa-team/aisa-cookbook.git
    cd aisa-cookbook
  2. Navigate to the setup folder:

    cd python/01_social_automator
  3. Install dependencies:

    pip install -r requirements.txt
  4. Configure your API keys: Get your API key from AIsa.one and add it to your environment.

    cp .env.example .env
    # Edit .env and insert: AISA_API_KEY="sk-..."
  5. Run the agent: Consult the README.md inside the specific recipe's folder for exact run commands (e.g., python bot.py or python analyst.py).

🔗 References

🤝 Contributing

Contributions are always welcome! If you have a powerful use case or a minimal agent recipe built on top of AIsa, please open a PR.

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