Deploy Your First AI Agent: A Step-by-Step Tutorial

Deploying an AI agent used to be a multi-day project. You had to provision a server, install dependencies, configure environment variables, set up HTTPS, create a deployment pipeline, and hope nothing broke. That barrier kept AI agents out of reach for most people.

Not anymore. With EZClaws and OpenClaw, you can go from nothing to a fully functional AI agent running in the cloud in under 10 minutes. No servers to manage. No SSL certificates to configure. No Docker files to write.

This tutorial walks you through every step, from creating your account to sending your first message to your running agent. If you can create a Google account and paste a text string, you have all the technical skills you need.

What You Will Build

By the end of this tutorial, you will have:

• A live AI agent running on Railway with its own HTTPS domain
• A real-time dashboard showing your agent's status and usage
• The ability to interact with your agent through its gateway URL
• A foundation to connect your agent to Telegram, Discord, WhatsApp, or other platforms

What You Will Need

Before starting, make sure you have these three things:

1. A Google account - EZClaws uses Google OAuth for authentication. Any Gmail or Google Workspace account works.
2. A credit card - For the EZClaws subscription. You can review plans at /pricing before signing up.
3. An AI model API key - This is the one piece that might be new to you. We will walk through getting one in Step 2.

Step 1: Create Your EZClaws Account

Sign In with Google

1. Go to ezclaws.com/signin.
2. Click the Sign in with Google button.
3. Choose your Google account or sign in with your Google credentials.
4. Authorize EZClaws to access your basic profile information (name and email).

That is it. No email verification, no password creation, no profile forms. You are now logged into the EZClaws dashboard.

Choose a Subscription Plan

After your first sign-in, you will be directed to choose a subscription plan.

1. Go to the pricing page.
2. Review the available plans. Each plan includes:
   • A monthly usage credit allocation
   • A maximum number of concurrent agents
   • Access to the skills marketplace
   • Real-time dashboard monitoring
3. Choose the plan that fits your needs. If you are just getting started and want to experiment, the starter plan is a great choice. You can always upgrade later.
4. Complete the Stripe checkout process with your payment details.

Once your subscription is active, you will be redirected to the dashboard.

Step 2: Get Your AI Model API Key

Your AI agent needs access to a language model to generate responses. EZClaws supports multiple model providers. You bring your own API key, which means you have full control over which model you use and what you pay.

Here is how to get an API key from the three most popular providers:

Option A: OpenAI (GPT-4, GPT-4o, GPT-4o-mini)

1. Go to platform.openai.com.
2. Sign in or create an account.
3. Navigate to API Keys in the left sidebar (or go directly to platform.openai.com/api-keys).
4. Click Create new secret key.
5. Give the key a name (e.g., "EZClaws Agent").
6. Copy the key and save it somewhere secure. OpenAI only shows it once.
7. Make sure you have billing set up on your OpenAI account (under Billing in the sidebar). API usage is billed separately from a ChatGPT Plus subscription.

Recommended model: GPT-4o-mini for cost-effective general use, GPT-4 for maximum quality.

Option B: Anthropic (Claude)

1. Go to console.anthropic.com.
2. Sign in or create an account.
3. Navigate to API Keys.
4. Click Create Key.
5. Name the key and copy it.
6. Set up billing in your Anthropic account settings.

Recommended model: Claude Sonnet for a great balance of quality and cost, Claude Opus for maximum capability.

Option C: Google (Gemini)

1. Go to aistudio.google.com.
2. Sign in with your Google account.
3. Click Get API key in the sidebar.
4. Create a new API key or use an existing one.
5. Copy the key.

Recommended model: Gemini Pro for general use.

Not sure which model to choose? Our AI model comparison guide breaks down the strengths, weaknesses, and costs of each option.

For detailed API key security practices, see our API keys guide.

Step 3: Deploy Your Agent

Now for the exciting part. Let us deploy your agent.

Create a New Agent

1. In the EZClaws dashboard, click the Create New Agent button.
2. You will see a deployment form with several fields.

Fill in the Configuration

Display Name: Give your agent a human-readable name. This is for your reference on the dashboard. Examples: "My First Agent," "Support Bot," "Research Assistant."

Model Provider: Select the provider matching the API key you obtained in Step 2 (OpenAI, Anthropic, or Google).

API Key: Paste the API key you copied earlier. EZClaws encrypts and securely stores this key. It is never exposed in your dashboard or logs.

Telegram Bot Token (optional): If you want to connect your agent to Telegram, enter your Telegram bot token here. You can skip this for now and add it later. See our guides for Telegram, Discord, and WhatsApp setup.

Click Deploy

Click the Deploy button. Now watch the magic happen.

On the dashboard, your new agent card will appear with the status Queued. Within a few seconds, it will change to Creating. You are watching EZClaws:

1. Provision a container on Railway
2. Configure the OpenClaw instance with your settings
3. Set up the HTTPS domain
4. Start the agent process
5. Run health checks

After 30 to 60 seconds, the status will change to Running. Your agent is live.

Note Your Gateway URL

Once the agent is running, you will see a Gateway URL on the agent card. It looks something like:

https://your-agent-name.up.railway.app

This is your agent's address on the internet. Anyone (or any service) can send requests to this URL to communicate with your agent. Bookmark it or copy it somewhere handy.

Step 4: Talk to Your Agent

Your agent is running. Let us make sure it works.

Using the Gateway URL

You can send a message to your agent by making an HTTP request to its gateway URL. The simplest way to test this is with a tool like curl in your terminal:

curl -X POST https://your-agent-name.up.railway.app/api/chat \
  -H "Content-Type: application/json" \
  -d '{"message": "Hello! What can you do?"}'

Replace your-agent-name.up.railway.app with your actual gateway URL.

You should receive a JSON response with your agent's reply. If you see a response, everything is working.

Using Telegram (If You Added a Bot Token)

If you configured a Telegram bot token during deployment:

1. Open Telegram and search for your bot by its username.
2. Click Start or send any message.
3. Your agent will respond through Telegram.

Troubleshooting First Messages

If you do not get a response:

• Check the agent status on the dashboard. It must show Running.
• Verify your API key is correct and has billing enabled with the model provider.
• Wait 30 seconds and try again. Some first requests take slightly longer as the model connection initializes.
• Check the agent event log on the agent detail page for any error messages.

If you are still having issues, our troubleshooting guide covers common problems and solutions.

Step 5: Explore the Dashboard

Now that your agent is running, take a few minutes to explore what the dashboard offers.

Agent Overview

The main dashboard shows all your agents at a glance. Each card displays:

• Status indicator - Green for running, red for error, gray for stopped
• Display name - The name you gave your agent
• Gateway URL - Click to copy
• Model provider - Which AI model is powering this agent
• Actions menu - Start, stop, restart, and delete options

Agent Detail Page

Click on your agent's card to see the detail page. Here you will find:

• Full configuration - All settings for this agent
• Event log - A chronological record of everything that has happened with this agent (deployments, status changes, errors)
• Skills tab - Installed skills and access to the marketplace
• Usage statistics - How many credits this agent has consumed

Billing Section

The billing page shows:

• Your current subscription plan
• Usage credits remaining for this billing cycle
• Credit consumption history
• Options to upgrade your plan or purchase additional credits

Settings

The settings page lets you manage your profile and notification preferences.

Step 6: Install Your First Skill

Skills extend your agent's capabilities beyond basic conversation. Let us install one.

1. From your agent's detail page, click the Skills tab.
2. Click Browse Marketplace or navigate to the Skills Marketplace.
3. Browse the available skills. Good first skills include:
   • Web Search - Lets your agent search the web and provide current information
   • Knowledge Base - Lets your agent answer questions from a custom document
   • Conversation Summary - Generates summaries of long conversations
4. Click Install on the skill you want.
5. If the skill requires configuration (like an API key for a third-party service), fill in the required fields.
6. The skill is immediately active. No redeployment needed.

For more on skills, including building your own, see the skills development guide.

Step 7: Customize Your Agent

Your agent is running with default settings. Let us make it more useful by customizing it.

Writing a System Prompt

The system prompt is the most important configuration for your agent. It defines the agent's personality, knowledge, and behavioral rules.

A good system prompt includes:

• Identity: Who is this agent? What is its name and role?
• Purpose: What is it supposed to help with?
• Tone: How should it communicate? Formal? Casual? Technical?
• Boundaries: What should it not do? What topics should it avoid?
• Format: How should responses be structured? Short paragraphs? Bullet points?

Here is a starter template:

You are [Agent Name], an AI assistant that helps with [purpose].

Your communication style:
- [Tone description]
- [Length preference]
- [Format preference]

You should:
- [Helpful behavior 1]
- [Helpful behavior 2]
- [Helpful behavior 3]

You should not:
- [Boundary 1]
- [Boundary 2]
- [Boundary 3]

If you are unsure about something, [fallback behavior].

For an exhaustive guide to every configuration option, read the OpenClaw configuration deep dive.

Connecting to Messaging Platforms

Your agent can be connected to various messaging platforms:

• Telegram - Add your Telegram bot token in the agent settings. Full guide coming in our blog.
• Discord - Follow our Discord bot guide.
• WhatsApp - Follow our WhatsApp guide.
• Slack - Configure a Slack app and connect it to your agent's webhook URL.

Each platform integration lets your agent serve users on the channels where they already communicate.

Step 8: Monitor Your Agent

Good monitoring habits start on day one.

Daily Check

Spend 30 seconds each day glancing at your dashboard:

• Is the agent status Running?
• Are usage credits being consumed at expected rates?
• Are there any error events in the log?

Weekly Review

Once a week, do a deeper review:

• Check the total interaction volume
• Review credit consumption trends
• Sample a few conversations to ensure quality
• Adjust the system prompt if you notice recurring issues

Set Up Alerts

Configure notification preferences in settings to be alerted when:

• Your agent stops running or encounters an error
• Usage credits are running low
• An unusual spike in activity occurs

For a comprehensive monitoring strategy, read our monitoring guide.

What to Do Next

Congratulations. You have a running AI agent. Here are the natural next steps to explore:

Deepen Your Configuration

• Read the OpenClaw configuration deep dive to learn about every available setting
• Experiment with different system prompts and observe how they change agent behavior
• Try different model providers and compare quality and cost (see the model comparison)

Expand Capabilities

• Install more skills from the marketplace
• Build custom skills for your specific needs (see the skills guide)
• Connect to additional messaging platforms

Optimize Performance

• Monitor token usage and optimize your system prompt for cost efficiency
• Choose the most cost-effective model for your use case
• Set up conversation context limits to manage token consumption

Learn More

• EZClaws Review 2026 - A comprehensive review of the platform
• From ChatGPT to a Dedicated AI Agent - Why dedicated agents beat general-purpose chat
• AI Agent ROI Calculator - Quantify the value of your agent
• 25 Automation Ideas - Inspiration for what to build
• Running AI Agents Locally vs Cloud - Understanding your hosting options

Common Beginner Mistakes

Using an API Key Without Billing

The most common first-time issue. Your model provider API key needs an active billing method. A free OpenAI account without billing set up will return authentication errors.

Writing a Vague System Prompt

"You are a helpful assistant" is a fine default but will not produce great results. The more specific your system prompt, the better your agent performs. Invest time in this.

Not Monitoring Usage Credits

Credits represent your budget. Keep an eye on consumption, especially in the first week when you are testing and experimenting more heavily. Check pricing for credit details.

Giving Too Many Instructions at Once

Start with a simple configuration. Get it working, then add complexity. Trying to configure everything perfectly before your first deployment leads to frustration and errors.

Forgetting to Test Edge Cases

Send your agent confusing messages, off-topic questions, and adversarial inputs during testing. Discovering how it handles these in production is much worse than discovering them during testing.

Conclusion

You just deployed your first AI agent. It is running on Railway with its own HTTPS domain, connected to the AI model of your choice, and ready to serve users on any channel you connect it to.

The deployment is the easy part. The real value comes from configuring your agent thoughtfully, installing the right skills, connecting it to the right channels, and continuously refining its behavior based on real interactions.

Welcome to the world of AI agents. It only gets more interesting from here.

Need help? Check the deploy guide for quick reference, the troubleshooting guide for common issues, or explore the full blog for guides on every aspect of running AI agents.