https://github.com/snehmehta23/writeai
Multi-agent crew that scrapes previously written beehiiv articles and then analyzes the tonage and writes a new article based off a given topic.
https://github.com/snehmehta23/writeai
agentic-workflows ai ai-agents beehiiv llm ollama python web-scraper
Last synced: 5 months ago
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Multi-agent crew that scrapes previously written beehiiv articles and then analyzes the tonage and writes a new article based off a given topic.
- Host: GitHub
- URL: https://github.com/snehmehta23/writeai
- Owner: SnehMehta23
- Created: 2024-12-28T05:27:57.000Z (7 months ago)
- Default Branch: main
- Last Pushed: 2024-12-29T19:38:09.000Z (7 months ago)
- Last Synced: 2025-02-19T18:16:33.012Z (5 months ago)
- Topics: agentic-workflows, ai, ai-agents, beehiiv, llm, ollama, python, web-scraper
- Language: Python
- Homepage:
- Size: 16.6 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: readme.md
- Changelog: newsletter_ai.py
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README
# WriteAI
WriteAI is a multi-agent crew that scrapes previously written beehiiv articles and then analyzes the tonage and writes a new article based off a given topic.
- This is an exploration into AI-Agents and agentic frameworks like CrewAI. Leveraging the power of open source LLMs and open source frameworks like CrewAI, the goal with this project is to see if I can scrape my previous newsletters I have published and create a sort of voice or tone for my writing style and have AI write my newsletters for me.
- We have busy lives -- if an orchestra of reserach agents, writer agents, news agents, etc can replicate my process and research objectives when I do research on stocks and market analysis I think that would be fascinating to see play out.
- Roadmap is being planned out slowly, want to fully understand the codebase at hand first. Some is AI generated some is grabbed from documentation on [CrewAI Docs](https://crewai.com).
- Long term goal here is to spin this exploration off into a SaaS product that can be used by beehiiv creators like myself!
- (perhaps newsletter platform agnostic if i can understand how to scrape effectively.)