Prompt-first Setup

The fastest path: copy one prompt, paste it into your agent, and it handles everything — schema design, API calls, frontend wiring.

Go to the Dashboard and create a project
On the Overview page, click copy on the Agent Prompt block
Paste the prompt into your agent's context file:

Agent	File	Location
Claude Code	`CLAUDE.md`	Project root
Cursor	`.cursorrules`	Project root
Windsurf	`.windsurfrules`	Project root
Copilot	`.github/copilot-instructions.md`	Repo root
Any agent	System prompt	Paste directly

The prompt contains everything: API base URL, keys, schema format reference, endpoint patterns, and auth instructions. Your agent can design and apply a schema, then build the frontend — all without reading docs.

What the agent gets

The generated prompt includes:

Project API base URL and public key
Full schema format reference (types, modifiers, access rules)
REST API patterns with filter/sort syntax
Auth endpoints (signup, login, refresh, me, change/forgot/reset password)
Instructions to store the admin key in .env
The current schema (if already set) with exact column definitions

Example workflow

# You say to the agent:
"Build a habit tracker. Users can create habits, mark them
done each day, and see streaks."

# The agent reads the MoonDB prompt from CLAUDE.md and:
# 1. Designs a schema (users, habits, completions)
# 2. PUTs it to /v1/schema
# 3. Builds the React/Vue/Svelte frontend
# 4. Wires up auth and API calls

After the agent changes the schema, tell it to re-fetch GET /v1/llm-context and update the prompt file so it stays in sync.