Ship a small AI tool to production

Dev, web & IT · checked 2026-10-17

Build a small internal or customer-facing tool with a coding agent, keep it in GitHub, and deploy it on Railway through Railway’s MCP server, with transactional email through Resend.

Independent review. IonBin has no partnership with any tool on this page and was not paid for this page. Our evaluation is our own, based on public documentation and our research. Product names are trademarks of their owners and are used for identification only. How disclosure works.

Goal

Go from idea to a deployed tool without a platform team.

Connects through: MCP · API

Steps

#WhoWhat happensHowStatus
1Your coding agent Writes the app code and tests AI platform Confirmed
2GitHub Hosts the repository and pull requests MCP Confirmed · source ↗
3You Review the code and approve the deploy Human step Confirmed
4Railway Deploys the service and shows logs
The remote server deploys staged changes (accept-deploy), redeploys and hands log analysis to its railway-agent tool; Railway marks destructive tools so clients ask for confirmation.
MCP Confirmed · source ↗
5Resend Sends transactional email from the app API Confirmed · source ↗

Confirmed means the vendor documents it (linked). It doesn't mean IonBin has tested it. AI-platform and human steps need no source.

Human approval

You approve each deploy.

Watch out for

Keep the human approval step: You approve each deploy.

Starter prompt

Goal: Go from idea to a deployed tool without a platform team. Tools involved: GitHub, Railway, Resend. Your part: writes the app code and tests; hosts the repository and pull requests; deploys the service and shows logs. Work step by step, show me each draft or proposed change, and wait for my approval before anything is sent, published, signed, filed or changed in a live system.

Assembled from this page’s goal and steps. Paste it into your AI platform and adjust it to your situation.

Tools in this workflow

Which AI platforms can run it

PlatformStatusWhy
Claude (incl. Claude Code) Confirmed Every MCP and API step is documented for this platform.
OpenAI Codex Confirmed Every MCP and API step is documented for this platform.
Google Antigravity To verify GitHub: pairing not named in vendor docs
ChatGPT To verify GitHub: pairing not named in vendor docs
Gemini To verify Railway: pairing not named in vendor docs; Resend: code execution to verify (or run it in Make or n8n)
Perplexity To verify GitHub: pairing not named in vendor docs; Railway: pairing not named in vendor docs; Resend: code execution to verify (or run it in Make or n8n)

Computed from the MCP and API steps only: "Confirmed" needs the tool's docs to name the platform and the platform to support the connection. Browser, upload and human steps work from any platform.

What we checked

  • GitHub MCP server gives agents access to repositories, issues and pull requests, so the code and the review live in one place.
  • Railway MCP server. The remote server can stage and deploy changes (accept-deploy), redeploy and hand log analysis or debugging to its railway-agent tool. Railway marks destructive tools at the protocol level, so clients that respect those hints ask for confirmation. With OAuth, you choose which workspaces and projects the client can reach, and tokens can be revoked.
  • Resend sends transactional email through a single API call from your code, and also publishes an MCP server.
  • Costs. Railway bills by usage. Its Hobby plan has a $5 monthly minimum that includes $5 of usage (Railway pricing page, checked 2026-10-17). Watch usage after your first deploy.

Set it up

  1. Have your coding agent write the app and its tests on a branch, and open a pull request.
  2. Review the diff and tests yourself before merging.
  3. Deploy on Railway through MCP and confirm each deploy when your client asks.
  4. Send a test email through Resend before real users sign up.

Sources

No affiliate links on this page. No paid placements in workflows. How IonBin makes money.