Using agents to build an agent company: Joao Moura

Summary

The speaker discusses the rapid growth and potential of AI agents, highlighting the impressive execution of 10 million agents in 30 days. He explains the autonomy and adaptability of these agents, which can make decisions and use tools in real-time. The talk covers the anatomy of AI agents, the complexities of building and orchestrating them, and the shift from traditional software development to agent-based automation. The speaker shares his journey as the CEO of Grayi, the creator of Crei, a production-ready library for multi-AI agent automations. He also announces new features like code execution for agents, training for consistent results, and a universal platform for third-party agents. The talk concludes with an offer for companies to try Crei Plus, an enterprise solution for deploying AI agents.

Takeaways

• 😲 Over 10 million AI agents have been executed in the last 30 days, showcasing the rapid growth and adoption of AI in automation.
• 🧠 AI agents are capable of making autonomous decisions and can be used to create complex automations without the need for traditional programming.
• 🚀 The speaker emphasizes the speed at which AI is being adopted and how it's outpacing many people's expectations.
• 🤖 AI agents can be created to perform specific tasks, like content creation or lead qualification, and can be organized into 'crews' for more complex operations.
• 💡 The speaker shares his personal journey of building a company, Grayi, which focuses on AI automation, starting from a personal need to automate his online presence.
• 🌟 The community around Grayi's product, Crei, is growing rapidly with over 16,000 stars on GitHub and an active Discord community.
• 🔧 Crei is described as a production-ready library for building and orchestrating multi-AI agent automations, indicating its robustness and reliability.
• 📈 The speaker highlights the success of using AI agents for marketing and lead qualification, resulting in significant increases in views and customer engagement.
• 🔗 Crei is positioned as a universal platform that can integrate with third-party agents, expanding its capabilities and use cases.
• 🆕 Upcoming features for Crei include code execution capabilities for agents and a training module to ensure consistent results over time.
• 📈 Crei Plus is introduced as an enterprise offering that allows for easy deployment of AI agents into production environments with robust features like autoscaling and private VPCs.

Q & A

How many AI agents were executed in the last 30 days according to the transcript?

10 million AI agents were executed in the last 30 days.

What is the significance of the number of AI agents executed as mentioned in the script?

The number signifies the rapid growth and adoption of AI agents in various applications, indicating a significant shift in the way automation and software development are approached.

What does the term 'agent' refer to in the context of the transcript?

In the context of the transcript, 'agent' refers to autonomous AI systems capable of making decisions and taking actions based on given options and circumstances, without the need for direct human intervention.

How do AI agents differ from traditional automation in terms of handling complexity as described in the script?

AI agents can adapt to circumstances and build automations in real-time without the need for pre-defined connections or 'dot-connecting' that traditional automation requires. This allows for more complex and dynamic automations.

What are the components that make up the 'anatomy' of an AI agent as discussed in the script?

The components include a central core, tasks, tools, a caching layer, a memory layer, training mechanisms, and guardrails to ensure the agent functions correctly and securely.

What is 'Crew' in the context of the transcript, and how does it relate to AI agents?

Crew, in this context, refers to a group of AI agents that work together, sharing caching and memory, to perform complex tasks. It represents a higher level of AI collaboration and automation.

What is CRE AI, and how does it fit into the narrative of the transcript?

CRE AI is a production-ready library for building and orchestrating multi-AI agent automations. It is central to the narrative as it is the tool used to execute and manage the high volume of AI agents mentioned.

How did the founder of Grayi start his journey with AI agents, as described in the script?

The founder started by building AI agents to automate the creation of LinkedIn posts, which led to the development of CRE AI as a tool to further automate various aspects of his professional life.

What is the significance of the number of GitHub stars and Discord community members mentioned in the script?

The number of GitHub stars and Discord community members signifies the growing interest and adoption of CRE AI and AI agent technology within the developer and broader tech community.

What new features or capabilities are announced in the script regarding CRE AI and AI agents?

New features announced include code execution capabilities for agents, a training feature for consistent results, universal platform support for third-party agents, and CRE Plus for enterprise deployment of AI agents.