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AI Agents

Technology Fundamentals

AI Agents

1 min readPublished 22 Jul 2026

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An AI agent goes beyond chatting — it can plan, use tools and take actions to achieve a goal, looping until it's done.

Interactive explainer

The AI Agent Loop

How agents plan, act and observe.

11. Goal22. Reason33. Act (tools)44. Observe & loop

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1. Goal

The objective.

You give the agent a goal, e.g. 'research this topic and draft a summary'. The agent works out the steps to achieve it.

Check your understanding

1. What lets an agent affect the real world?

2. Why do agents need guardrails?

Keep learning

AI AgentsAI Security Microsoft AI-102
Practise this in AI Interview™

How agents work

  • Goal — you give the agent an objective.
  • Reason → Act → Observe — the LLM decides a step, calls a tool (search, an API, code, a database), observes the result, and repeats.
  • Tools — agents connect to real systems via APIs, which is what makes them powerful.
  • Memory — agents keep context across steps, sometimes with RAG.
  • Multi-agent — several specialised agents can collaborate.

Agents can automate complex workflows — but autonomy adds risk (unintended actions, errors compounding), so guardrails, human approval and limited permissions matter (AI security).

Interview Intelligence

How this topic actually shows up in interviews — and how to demonstrate you understand it.

Why employers ask about this

Agentic AI is the fastest-moving area of the field, so early understanding is highly differentiating.

Technical questions
Explain the reason-act loop of an AI agent.+

The LLM reasons a step, acts via a tool, observes the result, and repeats until the goal is met.

Behavioural questions
Tell me about balancing automation with control.+

Show adding guardrails and oversight to an autonomous process.

Real-world scenarios
“An agent has access to production systems.”+

Expected answer: Apply least privilege and human-in-the-loop approval for risky actions — autonomy needs strong guardrails.

Practise in AI Interview™Rehearse these questions, scored.Plan with Career Coach™A personalised path to your goal.Evidence it in Career Passport™Prove this skill to employers.

Employability Intelligence

Where this knowledge takes you — the jobs, skills and certifications it feeds into.

Relevant roles
AI EngineerAutomation EngineerAI Product Engineer
Skills you're proving
AI agentsTool useGuardrails
Recommended certifications
Microsoft AI-900 (AI Fundamentals)Microsoft AI-102AWS AI Practitioner
Career progression

AI & Automation Fundamentals → AI engineering roles.

What employers expect

That you can use AI tools effectively, understand their limits, and automate work responsibly.

Frequently asked questions

What is an AI agent?

An AI system that plans and takes actions using tools to achieve a goal, looping reason-act-observe until done.

How do agents take actions?

They call tools — APIs, search, code execution or databases — and use the results to decide the next step.

What are the risks of AI agents?

Autonomy can lead to unintended actions or compounding errors, so guardrails, limited permissions and human oversight are essential.

Related guides

AI & Automation Fundamentals: LLMs, Prompting, RAG, Agents & AutomationAI Fundamentals: ML, Deep Learning & Generative AILarge Language Models (LLMs)Prompt Engineering

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