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Deconstructing Autonomous Agents in Crypto
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Onchain Agent Worst-Case Defense Design: If Your Agent Is Fully Compromised, How to Keep Losses Within Acceptable Range  ·  How to Choose a Crypto AI Agent Service: Five Evaluation Frameworks to Avoid Marketing Traps  ·  Crypto Agent Pre-Launch Security Checklist: 12 Mandatory Items from Testnet to Mainnet  ·  How to Design an Agent Wallet: Complete Risk and Cost Comparison of Four Architectures  ·  AutoGen vs LangChain vs ElizaOS: Which Framework to Choose — A Complete Decision Guide for Crypto AI Agent Developers  ·  Agent Memory System Design: Three-Layer Architecture of Short-Term, Long-Term, and Semantic Retrieval, and Security Boundaries for Crypto Contexts
Agent Fundamentals
Lead · Agent Fundamentals

Tool Use Mechanism Complete Breakdown: How AI Agents 'Act,' and Why This Design Determines Whether They Can Be Trusted

An AI Agent's LLM doesn't actually execute any tool — it only outputs 'I want to do this' requests; your backend code does the real execution. This design is the foundation of all security: the execution layer is under your control, and security validation is added there. How well tools are designed determines whether an Agent can be trusted.
The most core capability of an AI Agent isn't 'thinking' — it's 'acting.' Thinking is just the LLM's text prediction; acting is the mechanism that connects the Agent to the real world. Tool Use is how this mechanism is implemented — it defines how an Agent issues a request saying 'I want to do something,' how an external system executes it, and how the result comes back to influence the...
Agent Fundamentals
How AI Agents Think: A Complete Breakdown of the ReAct Reasoning Framework and Why It Determines Whether Agents Can Actually Get Things Done
ReAct stops AI Agents from making decisions based on hallucination — every...
"An AI Agent's LLM doesn't actually execute any tool — it only outputs 'I want to do this' requests; your backend code does the real execution. This design is the foundation of all security: the execution layer is under your control, and security validation is added there. How well tools are designed determines whether an Agent can be trusted."
— AI Agent Bible
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