ComponentsAI agents

Components

AI agents

What Quantum AI agents do, when to use them, and what limits they should have.

Updated: 2026-05-17

What an agent is

An AI agent is an assistant configured to achieve a specific goal using context, tools, and controlled permissions.

It should not be a black box. Every agent should have a clear task, clear limits, and traceability for what it did.

When to use one

An agent is useful when the work requires:

  • Reading or summarizing information.
  • Comparing documents or data.
  • Answering questions about a context.
  • Preparing an action for human review.
  • Coordinating several steps with tools.

If the process is fully deterministic, a traditional automation may be enough.

Guardrails

Each agent should define:

  • What it can read.
  • What it can modify.
  • Which tools it can use.
  • What needs human approval.
  • Which data it must not process.
  • How it reports errors or uncertainty.

Useful metrics

The most important metrics are not only tokens or cost. Also track:

  • Completed tasks.
  • Time saved.
  • Interactions per session.
  • Corrected errors.
  • Answers accepted by the user.
  • Cases escalated to human review.