🤖Overview

🤖 An agent is a digital representative with a defined goal. It combines a model, instructions and personality, knowledge, tools, and workflows to read, analyze, execute, and produce results.

Agent components

• Model: The brain that reasons and writes. It can be selected automatically for the task or chosen by you.
• Instructions and personality: The agent's role, tone, and boundaries.
• Knowledge: Searchable RAG memory that grounds its answers.
• Tools: Capabilities it calls while working, such as search, send, or read-system actions.
• Workflows: Logic that turns an event into action.

Agent lifecycle

1. Define the goal and scope.
2. Choose the model and write instructions.
3. Connect knowledge and tools.
4. Design workflows and guardrails.
5. Publish, monitor logs, and improve.