AWS and Vercel will bleed you dry with unpredictable compute costs. I deploy 24/7 autonomous Python agents on a $5 Hetzner VPS instead.
Serverless platforms like Vercel and AWS Lambda fail at one thing: keeping agents alive. A serverless function dies after 60 seconds. An agent needs permanent uptime to monitor webhooks, run cron jobs, and execute long reasoning loops. This is why business AI agents need dedicated infrastructure.
I watched a client deploy an agent on AWS Lambda. The bill hit $400 in one month.
The Bare-Metal Architecture
Human capability multiplication runs on dedicated, bare-metal servers. A Hetzner VPS gives you root Linux access, predictable $5/month billing, and zero timeouts. This is the infrastructure layer for agentic AI implementation.
You get a full Linux box. No cold starts. No function limits. No surprise invoices.
Deploying the Systemd Service
I skip Docker and messy PM2 scripts. I write a native Linux systemd service file.
[Unit]
Description=Autonomous Legal Agent
After=network.target
[Service]
User=root
WorkingDirectory=/root/agent-core
ExecStart=/usr/bin/python3 /root/agent-core/main.py
Restart=always
RestartSec=5
Environment=ANTHROPIC_API_KEY=sk-ant-...
[Install]
WantedBy=multi-user.targetSave this to /etc/systemd/system/agent.service, run systemctl enable agent, and your agent becomes permanently embedded in the OS. If it crashes, Linux restarts it in 5 seconds.
Key insight: systemd makes your agent indestructible. It runs as part of the operating system, not on top of it. For production examples, see the case studies.
Want me to deploy this for your business? Download the Blueprint or AI Workflow Repair Intake.