AI Agent
An AI agent is an AI system that can take actions in the real world, not just generate text. Agents use tools like terminal commands, file operations, web browsing, and API calls to accomplish multi-step tasks autonomously or semi-autonomously.
How It Works
Traditional chatbots only produce text responses. AI agents go further by planning a sequence of actions, executing them using tools, observing the results, and iterating until the task is complete. A coding agent, for example, might: read your code, identify a bug, write a fix, run the test suite, and verify the fix passes, all without manual intervention at each step.
AI Agent in Chapeta
Chapeta is an AI agent platform for macOS. Its 9 tools (Bash, file operations, web search, screenshots, and more) let the AI take real actions on your Mac. Four approval modes (Supervised, Balanced, Autopilot, God Mode) control how much autonomy the agent has. Skills let you pre-configure agent behaviors for specific workflows.
Related
More Terms
OpenRouter
OpenRouter is a unified API gateway that provides access to hundreds of AI models from different providers through a single API endpoint.
BYOK (Bring Your Own Key)
BYOK stands for Bring Your Own Key.
LLM (Large Language Model)
A Large Language Model (LLM) is an AI system trained on massive text datasets that can understand and generate human language.
API Key
An API key is a unique string of characters that authenticates your identity when making requests to a web API.
Context Window
A context window is the maximum amount of text (measured in tokens) that an AI model can process in a single request.
Prompt Engineering
Prompt engineering is the practice of crafting input text (prompts) to get the best possible output from AI models.
Token
A token is the basic unit of text that AI models process.
Fine-Tuning
Fine-tuning is the process of further training a pre-trained AI model on a specific dataset to specialize it for a particular task or domain.