💡 Here’s a little example of how you can create a multistep AI agentic workflow—with guardrails and no coding required—using open source system Fractalic:
- February 2025 stock data for three key AI companies is retrieved.
- A basic analysis captures the major price fluctuations.
- Relevant news for both the companies and the broader sector is identified.
- API calls are dynamically generated using Tavily as a search tool.
- A curated selection of news articles is gathered.
- A follow-up analysis pinpoints the key drivers behind the stock movements.
- The final results are presented as a neat Markdown report (see the first comment).
Any feedback is greatly appreciated!
Check out the code on GitHub: https://github.com/fractalic-ai/fractalic
And view a detailed example (25 lines of Markdown + YAML plain text) here: tutorials/02_tutorial_yahoofinance_tavily_stocks_news_analytics/agent-yahoo-finance.md
