Deploy Your First AI Agent in 60 Seconds
By Edward Monzon
Why this matters
Most AI agent tutorials start with "spin up an EC2 instance" or "install Docker." By the time you're done wiring up TLS certificates, load balancers, and auto-scaling, you've spent a weekend — and you haven't written a single line of agent logic.
ClawDeploy eliminates all of that. You pick a model, write a system prompt, and hit deploy. Your agent is live on a unique subdomain with a built-in chat UI, API endpoint, and real-time analytics.
Let's prove it.
Prerequisites
- A ClawDeploy account (sign up free — no credit card required)
- That's it. Seriously.
Step 1: Create your agent
After signing in, click New Agent in the dashboard.
You'll see three fields:
| Field | What to enter |
|---|---|
| Name | my-first-agent (this becomes your subdomain) |
| Model | Claude Sonnet 4.6 (best balance of speed + quality) |
| System prompt | You are a helpful assistant that answers questions concisely. |
Click Create. That's 15 seconds.
Step 2: Deploy
Your agent is already deploying. ClawDeploy provisions a Cloudflare Container with isolated compute, a D1 database for conversation history, and a Durable Object for real-time WebSocket streaming.
The status badge in your dashboard will flip from "Provisioning" to "Live" in under 45 seconds.
Your agent is now live at:
https://my-first-agent.clawdeploy.cuemby.io
Step 3: Test it
Open your agent's URL. You'll see the built-in chat interface. Type a message:
You: What's the capital of France?
Agent: Paris.
That's your AI agent, running in production, on the edge, with conversation history, streaming responses, and zero infrastructure on your part.
Step 4: Connect tools (optional)
Want your agent to read emails or check GitHub issues? Go to Settings → MCP Integrations and connect:
- Gmail — agent can read and draft emails
- GitHub — agent can browse repos, issues, and PRs
- Slack — agent can post messages and read channels
- Google Calendar — agent can check availability and create events
Each integration takes about 30 seconds to authorize via OAuth.
Step 5: Use the API
Every ClawDeploy agent exposes a REST API for programmatic access:
curl -X POST https://my-first-agent.clawdeploy.cuemby.io/api/chat \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"message": "Summarize the latest PR in my repo"}'
API keys are in Settings → API Keys. You get streaming responses via Server-Sent Events or WebSocket — your choice.
What just happened?
In 60 seconds you got:
- A production AI agent on a unique subdomain
- Built-in chat UI — share the link with anyone
- REST + WebSocket API — integrate into any app
- Conversation history — persisted in D1, searchable
- Real-time analytics — tokens used, latency, cost per message
- MCP integrations — connect to Gmail, GitHub, Slack, and more
- Prepaid billing — no surprise bills, ever
All running on Cloudflare's global edge network. No servers to manage. No Docker. No Kubernetes. No DevOps hire.
What's next?
- Customize your agent's personality — tweak the system prompt, add examples, set temperature
- Add skills — give your agent the ability to execute code, search the web, or call external APIs
- Set up a custom domain — point your own domain at your agent
- Embed the chat widget — drop a script tag on your website