Free Tool · Beginner

Build your own AI agent

An AI agent is a computer helper that can think in steps and do a job for you. Here, you will build one yourself, no code needed. Read what's ahead below, then start whenever you're ready.

A team in a navy-toned meeting room watches a presenter walk through AI agent analytics on a wall screen, representing how real teams build and review AI agents together

Listen to this briefing

Build Safe AI Agents Without Code

0:00

Getting Started

What this tool is, and what you're about to do

An AI agent is a computer helper that can think about a job in steps, then try to do that job on its own. Real companies are starting to use AI agents to help with real work. But before anyone switches one on, they build it carefully and check that it is safe first.

On this page, you will build a practice AI agent yourself, then run a safe, practice test on it. You will not type any code. You will just answer simple questions. It is free, it takes about 5 to 10 minutes, and nothing you type is ever saved or sent to anyone.

What you will do — 7 short steps

1Name it. Give your agent a name, like Robo or Sunny.
2Give it a job. Pick one clear job for it to do.
3Give it tools. Choose what it is allowed to use, like a web search.
4Set its rules. Choose rules it must always follow.
5Test it. Write it a task and watch it think, step by step.
6Check it is safe. Answer 4 safety questions real companies ask before they launch an agent.
7Get your record. Open a full report of everything you built, ready to print or save as a PDF.

How to use this tool

Go one step at a time. Fill in each step, then press Next.
Press Back any time to change something you already picked.
The Next button turns on once you have filled in enough for that step.
Every step has a short "Why this step matters" box. Read it if you want to know more.
This is a practice space, not a real AI. Nothing you type is saved or sent to anyone.

Start Building →

NameJobToolsRulesTaskSafetyRecord

Step 1 of 7: Give your agent a name

1Give your agent a name

Why this step matters

Giving your agent a name makes it feel real, like someone you can talk to. A name does not change what your agent can do. It just makes it easier for you to think about your agent while you build it.

Pick a job for it

Pick a job below. It will fill in a starting goal for you. You can change the words after.

Why this step matters

A job is your agent's one big goal. Real AI agents work best with one clear job, not five. A clear goal helps your agent know what "done" looks like, and stops it from wandering off into things you did not ask for.

Give it tools

A tool is something your agent is allowed to use to do its job. Pick at least one.

Why this step matters

A real AI agent can only do things it has tools for. If a task needs a tool your agent does not have, it cannot finish the job. Pick tools that match the job you gave it in Step 2.

Set its rules

A rule is something your agent must always do, or never do. Pick at least one.

Always be kind.Never make up facts. Say "I don't know" when unsure.Ask a person before doing anything big or risky.Only talk about the job. Do not wander off topic.Keep private information private.

Why this step matters

Rules keep your agent safe. Even a smart agent can make mistakes, or try to do something you did not want. Rules are like a fence: they keep your agent on safe ground, even when a task is tricky or unclear.

Write it a task

Your agent so far

🤖

Your Agent

Pick a job and give it a name to get started.

No tools chosen yet

No rules chosen yet

This is called a "prompt." It is the exact job you are giving your agent to try, right now.

How to write a good prompt

✓Say exactly what you want. "Write a thank-you email" works better than "help with email."
✓Add the important details. Names, numbers, and dates help your agent get it right.
✓Keep it short and clear. Use simple sentences. One idea at a time.
✓Ask for one task, not five. A single clear ask works better than a long list.
✓Say how it should sound, if that matters. Example: "in a friendly voice" or "in three short bullet points."

Weak prompt

"help with the customer thing"

Strong prompt

"Write a short, kind reply to a customer whose order is 3 days late. Tell them it is on the way, and offer a 10% discount code."

Write a task above, then press Test My Agent to see how it thinks.

This is a practice tool that teaches the ideas behind AI agents using simple, built-in rules. It does not call a real AI model, so the "answer" it gives is a demo, not a live AI reply. Everything you type stays in your browser. It is never sent to Terence Kok or anyone else.

Make it safe to launch

Before any real AI agent starts working, grown-ups check a few important things first. This is called governance. Check the boxes that are true for your agent.

A person can stop your agent right away if something goes wrong.IMDA MGF · Stop ControlYour agent knows the jobs it must never do.IMDA MGF · Scope & LimitsA person will check on your agent after it starts working.IMDA MGF · MonitoringYour agent has its own name, so people know which agent did what.IMDA MGF · Agent Identity — done in Step 1 ✓

Why this step matters

Real companies follow rules before letting an AI agent loose in the world. Singapore's government agency, IMDA, wrote a framework just for agents like this one. It says: know the risks first, keep a person in charge, build in safety checks, and watch the agent after it starts. These four checks are a simple version of that.

For grown-ups: this maps to Singapore's IMDA Model Governance Framework for Agentic AI (2026) — the world's first governance framework written specifically for agentic AI.

Your AI system record

Real companies write down how they built and checked their AI agent. This is called an AI management system record. Here is yours, in plain English.

ISO 42001 · Clause 6.2The agent's goal

—

ISO 42001 · Clause 8How it is controlled

—

ISO 42001 · Clause 9How you check it is working

—

ISO 42001 · Clause 10How you will improve it

If a test shows a missing tool or a broken rule, add it, then test again. Real teams do this every time they change their agent.

ISO 42001 · Annex A.6System record

—

Why this step matters

ISO/IEC 42001 is the world's standard for managing AI responsibly. It asks every organisation to write down the same five things you just saw: the goal, the controls, how it is checked, how it improves, and a record of the system itself. Big companies get audited on this. You just did a simple version of it.

This safety check and record are simplified for learning. They are based on real frameworks — Singapore's IMDA Model Governance Framework for Agentic AI and ISO/IEC 42001 — but finishing them here does not mean a real agent is certified or compliant. For a real organisation, use the full ISO 42001 AIMS Readiness Checklist and TRACE Agent Evaluation tools, or read about theIMDA framework in full.

Ready for more?

You just built one agent. Real work often needs a team. Try theAdvanced AI Agent Builder — build a Supervisor and Specialists, watch them plan a task, pause for your approval, and recover from a failure.

Before you start

Four words to know

Every AI agent, even a real one, is built from these four parts. Learn them here, and you will understand how any AI agent works.

Goal

What you want your agent to do. Every agent needs one clear job. Without a goal, an agent does not know what it's for.

Tools

What your agent is allowed to use to do its job, like a web search or a calculator. An agent can only use tools you give it.

Rules

What your agent must always do, or must never do. Rules keep an agent safe and helpful, even when a task is tricky.

Prompt

The exact task you type in, in your own words. A clear prompt helps your agent understand exactly what to do.