Stewrd vs Building Your Own AI Agent Infrastructure

You want to add AI agent capabilities to your app — research, code execution, document generation, file processing. You have two paths: build the infrastructure yourself, or use a managed API.

Here's what each path actually looks like.

The DIY Path: 8 Steps

Building your own AI agent infrastructure means assembling and managing every layer yourself:

1. Provision a server — AWS, GCP, or DigitalOcean. Pick a region, configure networking, set up IAM roles. Budget 30-60 minutes if you've done it before.
2. Set up Docker & container orchestration — Containerize your agent runtime, configure docker-compose or Kubernetes. Write health checks. Debug networking between containers.
3. Configure SSL, DNS, reverse proxy — Nginx or Caddy in front, Let's Encrypt for certs, DNS records pointing to your server. Another 30 minutes of YAML.
4. Build a tool execution layer from scratch — This is the hard part. You need to route between tools (web search, code execution, file processing), handle failures, manage timeouts, and parse heterogeneous outputs into a unified format.
5. Sandbox code execution — Running user-influenced code is a security minefield. You need isolated environments (gVisor, Firecracker, or at minimum Docker with seccomp). One mistake and you're exposed.
6. Implement file storage & processing — S3 or R2 for storage, signed URLs for secure access, upload/download handlers, file type detection, virus scanning. Plus garbage collection for expired files.
7. Set up monitoring & error handling — Structured logging, alerting (PagerDuty/OpsGenie), distributed tracing if you're running multiple services. You need to know when things break at 3am.
8. Manage scaling & load balancing — Auto-scaling groups, load balancers, connection draining. What happens when you get 10x traffic? Can your sandboxes spin up fast enough?

Time estimate: 2-6 weeks for a production-ready setup. Ongoing maintenance: 5-10 hours/week. Infrastructure cost: $200-800/mo before your first user.

The Stewrd Path: 3 Steps

1. Get your API key — Sign up at www.stewrd.dev, create a project, copy your key. Takes 60 seconds.
2. Send a message — One POST request to /v1/agent with your task.
3. Get finished work back — JSON response with the agent's output, generated files, and usage info.

Example: Research Task

curl -X POST https://api.stewrd.dev/v1/agent \
  -H "Authorization: Bearer sk-stw_your_key" \
  -H "Content-Type: application/json" \
  -d '{
    "message": "Research the top 5 AI agent frameworks in 2026. Compare their features, pricing, and GitHub activity.",
    "capabilities": ["research"]
  }'

That's it. Stewrd handles the web search, source synthesis, and citation generation. You get a structured response back.

Side-by-Side Comparison

When DIY Makes Sense

Building your own is the right call when:

• You need custom tool execution that doesn't fit standard capabilities
• You have strict data residency requirements that a managed service can't meet
• You're building the agent infrastructure itself as your core product
• You have a dedicated infrastructure team with bandwidth

When Stewrd Makes Sense

Use Stewrd when:

• You want AI agent capabilities in your app without becoming an infrastructure company
• You're a small team (1-10 engineers) and can't afford weeks on infra
• You want predictable costs — pay per request, not per server
• You want model flexibility — BYOK means you're never locked into one LLM provider

Get Started

Stewrd's free tier gives you 200 credits/month with Chat and Data capabilities. No credit card required.

Get your API key and send your first request in under a minute.