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Tool Use

AI models calling external functions and APIs

What is Tool Use?

The ability of AI models to call external functions, APIs, or tools during generation to accomplish tasks beyond pure text output. An LLM with tool use can search the web, run code, query databases, send emails, or interact with smart contracts. This transforms AI from a text generator into an action-taking system, essential for building AI agents that actually get things done in Web3 and beyond.

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LV’s AI hub

Original context on AI applied to creation, research, and systems.

Creator OS

Useful when AI is part of a content workflow that still needs human judgment.

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In plain words

"Think of it like giving a smart intern access to your company tools — they know when to use which."

How it works

Key takeaways

  • LLM decides which external tool to call

  • Bridges AI knowledge with real-time data

  • Foundation for agents and function calling

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Real-world example

A user asks 'What's the weather in Madrid?' The LLM can't check weather itself, but with tool use it calls a weather API, gets live data, and returns 'Madrid: 28°C, sunny.' The model decided to call the tool on its own.

Related terms

AI Agents

Autonomous AI that plans and executes tasks

MCP (Model Context Protocol)

Open standard connecting AI to external data and tools

Automation

Eliminating repetitive tasks with tech

LLM (Large Language Model)

AI models that understand and generate text

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