# Getting Started with AI Agents I Nikolay Dimitrov

- Channel: [ETHGlobal](https://streameth.org/ethglobal)
- Date: 2025-10-09
- Duration: 17:41
- Topics: FetchAI, ASI Alliance, large language model, LLM, AI agents, Agentverse, agent hosting, Web3, Almanac smart contract, agent registration, DeFi, EV charging, real-time data, developer framework, open source, hackathon, agent discovery, natural language, actionable output, interoperability, documentation, career, innovation, Discord, GitHub, support, marketplace, microservices, prompt engineering
- Watch: https://streameth.org/watch/yt-xdMRNUsfnRQ
- YouTube: https://www.youtube.com/watch?v=xdMRNUsfnRQ

## Description

Nikolay Dimitrov from FetchAI introduces the integration of large language models (LLMs) and AI agents within the FetchAI and ASI, Artificial Superintelligence Alliance, ecosystem. The platform features a 39B parameter LLM, an open-source agent hosting platform (Agentverse AI), and a foundational Web3 layer with the Almanac smart contract for agent discovery. Users can express intents (e.g., DeFi strategies, property search, EV charging) in natural language, and the system finds or creates agents to fulfill these tasks, enabling actionable outputs beyond simple text. 

Developers can easily build, register, and deploy agents for any conceivable use case, benefiting from robust documentation and a supportive community. The system supports real-time data integration and agent interoperability, fostering a two-sided marketplace for users and developers. A hackathon is announced, highlighting the growing demand for AI agent developers as a viable, high-impact career path. Resources, support, and examples are available via FetchAI docs and Discord.

00:00 Introduction  
00:32 Human Intents and Use Cases  
01:03 System Components Overview  
01:56 ASI1 LLM and Agent Hosting Platform  
02:40 Documentation and Core Architecture  
02:59 Smart Contract and Agent Registration  
03:52 Benefits and Real-World Applications  
05:05 Developer Opportunities and Framework  
05:54 Use Cases Beyond Web3  
06:18 User Base and Agent Deployment  
06:42 Live Demonstration: Prompting the LLM  
07:23 Agent Search and Reasoning  
08:03 Creating and Hosting Agents  
08:56 Recap: LLM with and without Agents  
09:28 Real-Time Data and Use Case Examples  
10:14 General Purpose AI and Infrastructure  
11:03 EV Charging Agent Demo  
12:12 User-Agent Interaction  
12:45 Compound AI Systems and Integrations  
13:38 Search, Discovery, and Developer Opportunities  
14:19 Hackathon Announcement  
14:47 AI Agent Development as a Career  
15:33 Hackathon Support and Resources  
16:22 Accessing Resources and Community  
17:09 Documentation and Getting Started  
17:30 Conclusion

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