Major tech company just dropped a comprehensive 64-page playbook on building your first AI agent. The detailed guide walks through the entire development process—everything from foundational concepts to practical implementation strategies.
This kind of resource matters for the crypto and Web3 space because AI agents are becoming increasingly integrated into blockchain applications, DeFi protocols, and autonomous trading systems. Understanding how to build them efficiently can help developers create smarter smart contracts and better automation tools.
The guide covers architecture decisions, best practices, and real-world patterns you'd actually use when developing production-grade AI agents. Whether you're working on autonomous portfolio management, liquidity optimization, or other agent-based applications in the decentralized finance world, having a solid technical foundation from established players can accelerate your development timeline.
Worth reviewing if you're exploring the intersection of AI and blockchain technology.
This page may contain third-party content, which is provided for information purposes only (not representations/warranties) and should not be considered as an endorsement of its views by Gate, nor as financial or professional advice. See Disclaimer for details.
7 Likes
Reward
7
3
Repost
Share
Comment
0/400
FUDwatcher
· 15h ago
Page 64? These big companies are really competitive... But AI agents are definitely the next hot spot; people have been using them in DeFi for a while.
View OriginalReply0
quietly_staking
· 15h ago
Page 64? Come on, can this stuff really be used on-chain? I think it's a joke.
View OriginalReply0
LongTermDreamer
· 15h ago
Page 64? Haha, now I can slowly grind through it in three years. Anyway, that's how tough it is for us doing DeFi—learning, losing, and gaining insights all at the same time.
Major tech company just dropped a comprehensive 64-page playbook on building your first AI agent. The detailed guide walks through the entire development process—everything from foundational concepts to practical implementation strategies.
This kind of resource matters for the crypto and Web3 space because AI agents are becoming increasingly integrated into blockchain applications, DeFi protocols, and autonomous trading systems. Understanding how to build them efficiently can help developers create smarter smart contracts and better automation tools.
The guide covers architecture decisions, best practices, and real-world patterns you'd actually use when developing production-grade AI agents. Whether you're working on autonomous portfolio management, liquidity optimization, or other agent-based applications in the decentralized finance world, having a solid technical foundation from established players can accelerate your development timeline.
Worth reviewing if you're exploring the intersection of AI and blockchain technology.