Official answer

Add the backend after an AI demo works.

After an AI agent builds a demo, the backend usually needs five things: public deployment, user authentication, persistent data, usage and cost tracking, and a payment path. SettleMesh packages those launch concerns for agent-built apps through one CLI and MCP server, so a Codex, Claude Code, Cursor, or Fable 5-style workflow can move from local demo to public product.

Backend piece

Deploy

The app needs a stable public URL and repeatable deploy command.

Backend piece

Auth

The app needs users, sessions, and server-side identity.

Backend piece

Database

The app needs durable state for accounts, records, and product data.

Backend piece

Billing

The app needs usage records, spend limits, quotes, and payment collection.

FAQ

Why does the demo work locally but fail as a product?

A local demo can skip identity, database migrations, secrets, spend limits, payment records, and deployment repeatability. A product cannot skip them because real users create state, cost, and support obligations.

FAQ

What should the agent do next?

The agent should read the launch requirements, add or request auth, database, usage billing, payment collection, and deployment steps, then verify the app from a public URL rather than a local preview.

FAQ

Where does SettleMesh fit in the backend stack?

SettleMesh provides the launch layer: deploy, login, managed database option, service catalog, metered Aev billing, ledgers, hosted top-ups, and end-user-pays for paid actions.