How to AUTOMATE LINKEDIN POSTS with CrewAI | CrewAI Tutorial

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AI Nuggets

Based on the transcript provided, here is an outline of the detailed instructions, CLI commands, website URLs, and tips extracted from the video:

Crew AI Library for Automating LinkedIn Posts

• Introduction to Crew AI: A framework for orchestrating AI agents.
• Article for Reference: “Automating my LinkedIn post with Crew AI” available on the author’s website.
  • Link to the article: Link in the video description

High-Level Description of Crew AI

• Official Documentation: Crew AI’s framework defines several components.
• Components Diagram: Explains agents, tasks, and tools.
• Agents: Collaborative AI entities with assigned tasks.
• Tasks: Specific objectives assigned to agents.
• Tools: Interfaces for agents to interact with the outside world.
• Crew: A combination of agents and tasks working together.

Crew AI Documentation and Tools

• Crew AI Documentation: Crew AI Documentation
  • Core Concepts: Tools, Agents, Tasks.
  • Available Crew AI Tools: List of all implemented tools.
  • How to Guides: Creating custom tools.

Custom Tool Creation

• Custom Tool for LinkedIn: Connecting an agent with LinkedIn using custom tools.
• Selenium: A tool for automating web browsers.

Code Example from Crew AI Documentation

• Defining Agents: Researcher and Writer agents with roles and goals.
• Defining Tasks: Research and write articles tasks linked to agents.
• Running the Application: my_crew.kickoff() to start the Crew AI application.

Creating LinkedIn Posts with Crew AI

• Proposed Architecture: Three agents (LinkedIn Scraper, Web Researcher, LinkedIn Influencer).
• LinkedIn Scraper Agent: Uses Selenium to scrape LinkedIn profile posts.
• Web Researcher Agent: Uses SerpAPI to download relevant web content.
• LinkedIn Influencer Agent: Creates a LinkedIn post emulating the user’s writing style.

GitHub Repository for Code

• Neural Maze GitHub Organization: Contains all code related to the tutorial.
  • Repository: Crew AI LinkedIn Post
  • Clone the repository to follow the tutorial.

PyCharm Code Walkthrough

• Agents Definition: agents.py module with LinkedIn Scraper, Web Researcher, and LinkedIn Influencer agents.
• Custom Tools: tools folder with linkedin.py module for Selenium tool implementation.
• Running Custom Tool: run_tool.py script to demonstrate the tool’s behavior.

Running the Crew

• Main File: main.py where agents and tasks are defined and the crew is kicked off.
• Output: A generated LinkedIn post comparing LMA 2 and LMA 3.

Conclusion

• Final Thoughts: The generated LinkedIn post is decent but may require tweaking.
• Subscription Reminder: Subscribe for more content.
• Website Reminder: Visit the website for more articles on similar topics.

Video Ending

• Goodbye Message: Farewell until the next video.

Additional Tips

• It is recommended to read the article for a detailed understanding of Crew AI.
• Custom tools can be created for specific tasks, such as connecting to LinkedIn.
• The code is available on GitHub for cloning and customization.

CLI Commands and URLs

• GitHub Repository: https://github.com/neuralmaze/crew-ai-linkedin-post
• Running a Python script: python run_tool.py or python main.py

Please note that the exact URLs and commands are based on the context provided in the transcript and the description of the video.