Agent

An agent is an actor within a specific environment (e.g., software system, workflow, data pipeline, or service). Unlike static programs, agents follow clear goals, roles, or objectives. They:

• Perceive: Gather and interpret data from their environment.
• Reason: Use algorithms, rules, or models to choose the best action.
• Act: Execute decisions to achieve desired outcomes and improve processes.

Fundamental Characteristics

1. Autonomy
   Agents operate without constant human input. They use policies, models, and rules to adapt to changing conditions.

2. Perception of the Environment
   Agents integrate with data sources, APIs, and services to maintain awareness. They monitor key indicators (e.g., customer behavior, inventory, system performance) and respond in real time.

3. Decision-Making and Reasoning
   Agents apply AI methods—rules to machine learning—to evaluate actions. Their choices align with defined objectives, regulations, and business logic.

4. Action and Influence
   After deciding, agents take actions that can adjust resources, optimize operations, or make recommendations. These actions deliver tangible business value.

5. Goal-Directed Behavior
   Each agent works toward specific outcomes, such as boosting efficiency, raising customer satisfaction, cutting costs, or driving innovation. Clear goals guide their actions.

6. (Often) Learning and Adaptation
   Agents often improve over time. They learn from historical data, feedback, and performance metrics to refine their strategies and better meet evolving demands.