Human-on-the-Loop

Agentic AI

AI systems that can autonomously plan, reason, and take actions to achieve goals with minimal human intervention.

AI Agent

An autonomous software entity that perceives its environment, makes decisions, and takes actions to achieve specified objectives.

Autonomous Agent

An AI agent capable of operating independently, making decisions and taking actions without continuous human oversight.

Reactive Agent

An AI agent that responds to environmental stimuli with predefined actions without maintaining an internal model of the world.

Deliberative Agent

An AI agent that maintains an internal model of its world and reasons about actions before executing them.

BDI Architecture

Belief-Desire-Intention — an agent architecture where agents reason about beliefs, desires, and intentions to decide actions.

Agent Planning

The ability of an AI agent to formulate a sequence of actions to achieve a goal from its current state.

Tool Use

The capability of AI agents to interact with external tools, APIs, and services to extend their functionality.

Agent Hierarchy

An organisational structure where agents are arranged in levels, with higher-level agents delegating tasks to lower-level ones.

Supervisor Agent

An agent that oversees and coordinates the work of other agents, making high-level decisions and resolving conflicts.

Agent Sandbox

An isolated environment where AI agents can safely execute actions and experiment without affecting production systems.

Agent Autonomy Level

The degree of independence an AI agent has in making and executing decisions without human approval.

The ability to monitor, trace, and understand the internal states, decisions, and actions of AI agents in production.

An AI agent that interacts with graphical user interfaces by perceiving screen content and executing mouse clicks, keyboard inputs, and navigation actions like a human operator.

Methods and metrics for assessing the performance, reliability, and safety of autonomous AI agents.

Complex patterns and capabilities that arise from the interactions of simpler agent components or rules.

Safety constraints and boundaries that limit agent behaviour to prevent harmful, unintended, or out-of-scope actions.

An advanced retrieval-augmented generation pattern where an agent dynamically decides what information to retrieve, from which sources, and how to refine queries iteratively.

The accumulated information, history, and environmental state that informs an AI agent's decision-making.

The strategic process of redesigning business operations around autonomous AI agents to achieve hyperscale efficiency.