Using agents to build an agent company - Joao Moura
AI Summary
Video Summary
AI Agents and Automation
- Over 10 million AI agents were executed with creAI in the last 30 days.
- AI agents, like those from chat GPT, can autonomously make decisions and interact with tools.
- Engineers have traditionally built automations step by step, but AI agents can adapt in real-time without needing to connect all the dots manually.
- Building AI agents involves considering caching layers, memory layers, training, guardrails, and inter-agent communication.
creAI Framework
- creAI is a production-ready library for building and orchestrating multi-AI agent automations.
- The framework has been used to run more than 10 million agents monthly.
- It has gained significant community support, including a GitHub community with over 16,000 stars and a Discord community with over 8,000 members.
Founder’s Journey and Use Cases
- Joal, the CEO and founder of creAI, started the company after automating LinkedIn posts with AI agents.
- He expanded the use of AI agents to automate various aspects of his company, including marketing, lead qualification, and code documentation.
- The approach was to start simple and expand to low-risk, high-impact areas.
Future Developments and Announcements
- New features for creAI include allowing agents to build their own tools and training agents for consistent results.
- creAI is a universal platform that can integrate third-party agents.
- A new version of creAI was released, and a 2-hour course on how to use creAI is available at learn.crew.com.
creAI Plus
- creAI Plus is an enterprise offering that allows users to build crews, push them to GitHub, and turn them into APIs with features like autoscaling and private VPCs.
- It also enables exporting to a React component for UI customization.
- For the first 50 companies that sign up, access to creAI Plus will be provided in less than 24 hours.
- A special crew can build a user’s first crew based on their email and company name alone.
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