Summary of "Watch how a Pro builds AI Agents in real-time"
The video demonstrates a pro building AI agents in real-time, showcasing the development of Maestro and Deli by Petro. Maestro acts as an orchestrator for setting tasks and utilizes sub-agents like Sonet for real-time execution. Deli uses multiple agents to search online and provide research summaries. The methodology involves creating an orchestrator, using sub-agents, cloud-based capabilities, feedback loops, and optimizing AI agents for complex projects. The video emphasizes the power and potential of these AI agents for problem-solving scenarios. Additionally, it discusses managing latent spaces, utilizing open AI and Cloud, and crafting effective prompts for AI models. Various uses of AI agents for research, image creation, and information gathering are also highlighted.
Methodology:
- Create an orchestrator to specify goals and tasks.
- Utilize sub-agents like Sonet for executing tasks in real-time.
- Use cloud-based capabilities for increased context and efficiency.
- Implement a feedback loop for refining tasks and providing feedback.
- Optimize the use of AI agents for complex projects.
- Crafting effective prompts is crucial for successful AI agent creation.
- Experimenting with different prompts is necessary to achieve desired outcomes.
- Spending significant time on prompt creation is essential for optimal results.
Speakers:
- Petro
- David Andre
- Pro builder of AI agents
- Other speaker mentioned throughout the conversation
