Could a Swarm of Autonomous AI Agents be the Ultimate Business Asset? - Stage 1
AI Summary
Summary: Swarm of AI Agent Workers Concept
Introduction
- Presenting the first stage of a swarm of AI agent workers concept.
- Overview of the UI for data collection on a specific topic.
- Conceptual integration of a decision-making “brain” and agent workers.
Stage One: Data Collection
- Use a custom UI to enter a research topic (e.g., GPT Vision use cases).
- Data collection involves scraping Google and YouTube, saving results as JSON files.
- Data is stored in Azure cloud storage for easier automation.
Upcoming: Creating the Brain
- Development of a “master agent” with specific goals (e.g., create a blog post).
- Master agent assigns tasks to various specialized agents (summary, writer, SEO, evaluation).
- Process involves summarizing data, evaluating it, and writing content to achieve the goal of a blog post.
Backend of Stage One
- Flask app with HTML UI.
- Data collection via Ser API for Google and YouTube scraping.
- Use of Whisper for YouTube video transcription.
- Data saved as JSON in Azure Blob Storage.
Running Stage One
- Flask app executed to collect data.
- UI allows for search query input without login.
- Results are JSON files with scraped data from Google and YouTube.
Outreach Agents Example
- Outreach agents designed to find email addresses for marketing purposes.
- Leader agent instructs data agent, which performs functions like scraping and saving data.
- Agents work in a loop to gather and save contact information.
Conclusion
- Project progress will focus on developing the master brain.
- Future videos will explore integration and decision-making processes.
- Membership on YouTube provides access to the GitHub repository for the project.
To explore the concept further and access the project files, consider joining the YouTube membership for access to the GitHub repository.