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.