Agent Guardrailing

Agent Evaluation

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

Agent Guardrails

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

Human-in-the-Loop

A system design where human oversight and approval are required at critical decision points in automated processes.

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

Standardised evaluation of AI agent capabilities across tasks like tool use, planning, reasoning, and task completion.

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

Breaking down complex tasks into smaller, manageable subtasks that can be distributed among AI agents.

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

An AI agent specialised in writing, debugging, refactoring, and testing software code, capable of operating across multiple files and understanding project-level context.

A mechanism allowing language models to invoke external functions or APIs based on natural language instructions.

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