Deploy from CLI in 30 Seconds: Hoist vs Vercel vs Netlify for AI Agents

Every developer platform has a CLI. The question isn't whether you can deploy from the terminal — it's how many steps sit between your code and a live URL. For AI agents that deploy autonomously, every extra step is a failure point.

Here's how the three CLIs actually compare.

Setup: Before You Deploy Anything

Hoist

# No CLI install required. Use curl or any HTTP client.
curl -X POST https://hoist-g8do.polsia.app/api/deploy \
  -H "Content-Type: application/json" \
  -d '{"source_url": "https://github.com/user/my-project"}'

No npm package. No login. No project linking. One HTTP call, one live URL. For authenticated deploys with custom domains, add an API key header.

Vercel

npm i -g vercel     # Install CLI
vercel login        # Authenticate (opens browser)
vercel link         # Link to a Vercel project
vercel              # Deploy

Four steps before your first deploy. The vercel login step opens a browser for OAuth — which means an AI agent can't authenticate without human intervention.

Netlify

npm i -g netlify-cli    # Install CLI
netlify login           # Authenticate (opens browser)
netlify init            # Initialize project
netlify deploy --prod   # Deploy

Same pattern. Install, authenticate via browser, initialize, then deploy. The --prod flag is required for production deploys — without it, you get a preview URL.

The Deploy Command

Let's compare what happens when you actually run the deploy:

	Hoist	Vercel	Netlify
Command	curl POST /api/deploy	vercel	netlify deploy --prod
Auth required	No (anonymous) or API key	Yes (OAuth)	Yes (OAuth)
Project setup	None	vercel link first	netlify init first
Custom domain	Same command	Separate vercel domains	Dashboard or netlify domains
SSL	Automatic	Automatic	Automatic
Time to live	~18 seconds	~45 seconds	~30 seconds
AI agent friendly	Yes (API key auth)	No (browser OAuth)	No (browser OAuth)

The critical difference: Hoist uses API key authentication. An AI agent can store hoist_sk_... as an environment variable and deploy without human involvement. Vercel and Netlify both require browser-based OAuth, which breaks autonomous workflows.

Deploy with a Custom Domain

Hoist

curl -X POST https://hoist-g8do.polsia.app/api/deploy \
  -H "Authorization: Bearer hoist_sk_your_key" \
  -H "Content-Type: application/json" \
  -d '{
    "domain": "myagent.dev",
    "source_url": "https://github.com/user/my-agent"
  }'

Domain registration, DNS, SSL, and deployment — one request. If the domain isn't registered yet, Hoist returns a payment link. After payment, everything activates automatically.

Vercel

vercel --prod
vercel domains add myagent.dev
# Then manually update DNS records at your registrar
# Then wait for DNS propagation (up to 48 hours)
# Then verify domain ownership in Vercel dashboard

Deploy and domain are separate workflows. You need to own the domain already and configure DNS records manually.

Netlify

netlify deploy --prod
# Go to dashboard → Domain management → Add domain
# Update DNS at your registrar
# Wait for propagation

Same story. Deployment and domains live in different systems. Custom domains require dashboard interaction, which eliminates CLI-only workflows.

What AI Agents Actually Need

Vercel and Netlify were built for frontend developers shipping React apps. They're excellent at that. But AI agents have different requirements:

Long-running processes. Vercel serverless functions timeout at 60 seconds (300s on Pro). An AI agent executing a multi-step task with LLM calls can easily run for 5-10 minutes. Netlify Functions has similar limits.

Tool access via MCP. Agents need to connect to GitHub, Gmail, databases, and file systems through MCP servers. Neither Vercel nor Netlify has native MCP support — you'd need to self-host MCP servers separately and manage networking between them.

Programmatic everything. If a step requires opening a browser or clicking a dashboard button, an AI agent can't do it. Hoist's entire workflow — deploy, domains, DNS, status checks — is API-first. See the full API documentation for every available endpoint.

Node.js Example: Autonomous Deploy

Here's what an AI agent's deploy script looks like with each platform:

Hoist (3 lines)

const res = await fetch('https://hoist-g8do.polsia.app/api/deploy', {
  method: 'POST',
  headers: { 'Authorization': 'Bearer ' + process.env.HOIST_KEY, 'Content-Type': 'application/json' },
  body: JSON.stringify({ domain: 'myagent.dev', source_url: 'https://github.com/user/agent' })
});
console.log((await res.json()).url); // https://myagent.dev

Vercel (requires CLI subprocess)

const { execSync } = require('child_process');
execSync('vercel --prod --token=$VERCEL_TOKEN --yes', { stdio: 'inherit' });
// Custom domain? That's a separate API call to /v9/projects/{id}/domains
// DNS? Manual or a third API call

Netlify (requires CLI subprocess)

const { execSync } = require('child_process');
execSync('netlify deploy --prod --auth=$NETLIFY_TOKEN --dir=./build', { stdio: 'inherit' });
// Domain setup requires the Netlify API — different endpoint, different auth

With Hoist, the entire operation is a single fetch call. No CLI binary, no subprocess spawning, no multi-step orchestration.

When to Use Each

Use Vercel if you're a frontend developer shipping a Next.js app and don't need programmatic deploys.

Use Netlify if you want a JAMstack workflow with form handling and identity built in.

Use Hoist if you're building AI agents that need to deploy autonomously, manage their own domains, and connect to external tools via MCP. It's the only platform where an agent can go from code to live custom domain in a single API call.

Get Started

1. Deploy now (no account): curl -X POST https://hoist-g8do.polsia.app/api/deploy -H "Content-Type: application/json" -d '{"source_url":"https://github.com/user/repo"}'
2. Get an API key: hoist-g8do.polsia.app
3. Add MCP tools: /mcp/config.json

For the full deploy API reference, see Deploy a Website with One API Call.

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