@ZabihullahAtal: The anatomy of an AI agent, explained simply: 1. Perception: Receives input from users, APIs, files, or sensors. Exampl…

The anatomy of an AI agent, explained simply: 1. Perception: Receives input from users, APIs, files, or sensors. Example: You ask an agent to summarize your emails. 2. Reasoning: The LLM understands the request and decides what to do next. 3. Planning: Breaks a complex task into smaller steps. Example: Find emails → identify important ones → summarize them. 4. Memory: Stores conversation context and retrieves relevant past information. 5. Tool execution: Uses APIs, MCP, databases, browsers, or code to perform actions. 6. Guardrails: Controls permissions, checks risky actions, and requests human approval when needed. 7. Observability: Tracks logs, errors, latency, and costs so developers can debug the agent. How it works: Input → Reason → Plan → Use tools → Check results → Repeat until the task is complete. An AI agent isn't just an LLM. It's a system that combines models, tools, memory, and control mechanisms to get things done.