How to build your first AI agent in 20 minutes (no code required)

You don't need to be a developer. You don't need to understand machine learning. You need a business problem and 20 minutes.

This guide walks you through building your first AI agent on Oxian — from blank screen to published product.

Who this is for

You should follow this guide if:

• You've spotted a repetitive task that a business does manually
• You're not technical (or you are, but you want to move fast)
• You want to build something you can sell for monthly recurring revenue

If you just want to automate your own tasks, check out the Oxian marketplace — someone may have already built what you need.

Step 1: Describe what you want the agent to do

Go to oxian.ai and click "Build."

Pick a category: Email, Sales, Support, Finance, Social, or Custom.

Then describe the agent in plain English. Be specific. Here are good vs. bad examples:

The more specific you are, the better the agent works. Think: what comes in, what should go out.

Step 2: Watch it simulate

After you describe the agent, Oxian shows you a simulation. The right side of your screen displays a realistic environment — your inbox, CRM, or ticket queue — with sample data.

Watch the agent work:

1. It scans the sample data
2. It identifies items that match your criteria
3. It tags or categorizes them
4. It drafts an action (reply, update, flag)

This is your chance to verify the agent understands what you want. If something looks off, edit your description and run the simulation again.

Common mistake: Skipping this step. Always watch at least one full simulation before publishing. It takes 30 seconds and catches 90% of issues.

Step 3: Approve the test draft

The agent will produce a test output — usually a draft email, a lead score, or a categorized ticket.

Read it carefully. Ask yourself:

• Is the tone right?
• Is the information accurate?
• Would I send this to a real customer/supplier?

If yes, approve it. If not, adjust your description and re-run.

Pro tip: Run 3–5 test scenarios before publishing. Try edge cases — what happens with an unusual email, a lead from an unexpected industry, a ticket in a language you don't support?

Step 4: Publish

Once you're happy with the test results, hit "Publish."

You'll set:

• Price: $19–$149/month (see our pricing guide for strategy)
• Title: Clear, specific, benefit-focused
• Description: What it does, who it's for, how it works
• Category: So buyers can find it on the marketplace

Your agent is now live. Buyers can find it on the Oxian marketplace or you can share a direct link with clients.

Common mistakes to avoid

1. Being too vague. "Handle emails" doesn't work. "Read supplier pricing emails and draft replies using my rate sheet" does.

2. Skipping the simulation. The simulation exists for a reason. Watch it. Every time.

3. Pricing too low. $9/month signals low quality. $49/month signals professional tool. Price based on the value you deliver, not the time it took to build.

4. Waiting for marketplace traffic. Your first 5 clients should come from personal outreach. Don't just publish and hope.

5. Building for everyone. "An agent for businesses" is too broad. "An agent for independent restaurants that handles supplier pricing emails" is a product.

What to build first

If you're not sure what to build, start with one of these proven categories:

Pick one. Build it in 20 minutes. Sell it to 5 people. Then build another.

Start now

The best time to build your first agent was yesterday. The second best time is right now.

Build your first agent free on Oxian →

*Read next: How to make $2,000/month selling AI agents*