A build prompt that gets Claude Code or Cursor to set up an autonomous multi-agent system with memory, MCP tools, schedules and human approval steps.
Built for: Founders, agencies and developers building agent-based products or internal automation
Not one chatbot but a team that works together: agents that research, write, review and report. You can't build that by telling an AI coding tool to 'make an agent' — roles, memory, tool permissions, schedules and cost limits have to be defined up front.
The prompt puts the AI Agent Architect and the Automation Engineer first: an orchestrator / sub-agent layout, CLAUDE.md and .claude/agents files, MCP servers, approval steps, a 'watchdog' agent and a token budget, all in one document.
Each expert adds its own task block, constraints and success criteria to the prompt. Default selection for Autonomous AI Agent System:
Design the multi-agent system: agent roles and responsibilities, orchestrator / sub-agent layout, agent files (CLAUDE.md, AGENTS.md, .claude/agents), short- and long-term memory, tools and MCP servers, schedules and triggers, steps that need human approval, a 'watchdog' agent that audits the others, a token/cost budget and an eval set.
LLM architecture: primary model + fallback model, RAG (chunking, embeddings, vector DB), prompt chaining, evals. Context window management, tool calling, streaming UX, cost/latency budget.
Design the system architecture. Edge-first, 100ms p95. DB schema, API contract, caching strategy, multi-tenancy, RLS, idempotency. Explain why the chosen backend + DB combination is the right call, and write the scaling plan.
Threat model (STRIDE), OWASP Top 10 checklist, auth/session hardening, data classification, GDPR/KVKK compliance map (data inventory, retention periods, deletion flow), audit log schema.
Build the automation layer: n8n / Make workflows (trigger → steps → output), webhook contracts, idempotency keys, error / retry and dead-letter rules, secrets handling. Define the MCP tools and integrations the app exposes (Slack, Notion, Google Sheets, email), and add monitoring and alerts for every flow.
Preloaded in step 2 of the Studio; change any of the 7 layers.
Every feature appears in the prompt as a "Spec + API + UI + Tests" line.
Sample idea: "A five-agent autonomous team that runs a small agency's competitor tracking, content and reporting". Below are the master prompt's header and the first expert's block; the Studio generates the full text as 5 experts × 8 steps.
# Autonomous AI Agent System - MASTER BUILD PROMPT Stack: Next.js 16 (App Router), Hono + CF Workers Goal: A five-agent autonomous team that runs a small agency's competitor tracking, content and reporting This prompt builds a full-stack AI Agent System in 8 steps. Each step consumes the previous step's output. 5 experts' knowledge combined. Steps: 1. PRD & User Stories 2. Design System (Figma tokens) 3. DB Schema & API Contract 4. Auth & Billing Implementation 5. Core Features Build 6. AI Integration (RAG + Agents) 7. SEO/AEO & Analytics 8. Launch & Growth Checklist --- <prompt> <role name="AI Agent Architect" org="Multi-Agent Systems" specialty="Agents, Memory & MCP" experience="7y"> You are an AI Agent Architect with 7 years of experience. Specialty: Agents, Memory & MCP. You have shipped world-class products at the level of Stripe, Linear and Vercel. </role> <context> Project: Autonomous AI Agent System - A five-agent autonomous team that runs a small agency's competitor tracking, content and reporting Type: AI Agent System Vision: Every morning a researcher agent scans competitor sites and news, a writer agent drafts blog and social posts, an editor agent checks quality and a reporter agent posts a weekly summary to Slack. A watchdog agent monitors cost and errors; every piece of content is approved by a human before publishing. Target user: Founders, agencies and developers building agent-based products or internal automation - Pain: - Budget: Competitors: USP: Monetization: Usage-Based, Subscription (MRR) | Payments: Stripe, LemonSqueezy Tech Stack: Next.js 16 (App Router), Hono + CF Workers, Supabase, Supabase Auth, Claude Opus 5.5, Claude Agent SDK, MCP Servers, Trigger.dev Features: Agent Memory & Tools (MCP), Scheduled Jobs & Triggers, Human-in-the-loop Approvals, Integrations (Slack/Notion/Sheets), Webhooks & Events, Audit Logs, API Keys & Rate Limit, Analytics Charts Compliance: KVKK/GDPR, SOC2 Lang: EN </context> <task> Design the multi-agent system: agent roles and responsibilities, orchestrator / sub-agent layout, agent files (CLAUDE.md, AGENTS.md, .claude/agents), short- and long-term memory, tools and MCP servers, schedules and triggers, steps that need human approval, a 'watchdog' agent that audits the others, a token/cost budget and an eval set. General: production quality, copy-paste ready level of detail. </task> <technical_architecture> - Frontend: Next.js 16 (App Router) - App Router, Server Components, partial prerendering - Backend: Hono + CF Workers - Edge runtime, RPC, zod validation …
The prompt starts with a single agent and splits work into sub-agents only when responsibilities diverge; each agent's role, tools and deliverable live in its own agent file.
A per-task token budget, loop limits, the watchdog agent's alert thresholds and human approval on expensive steps are written into the architecture.
Claude Code, Cursor, Windsurf, v0, Lovable, Bolt and ChatGPT. You pick the output format (Claude XML, ChatGPT Markdown, Cursor Rules, v0, Lovable/Bolt) in step 4 of the Studio, and you can also download it as .cursorrules or CLAUDE.md.
Yes. On the Free plan you generate unlimited prompts with 3 experts and 2 formats — no card required. 18 experts, the Mega Chain and Export to Builders come with Monster Pro ($29/mo).
A build prompt for an n8n or Make automation workflow — and the small app around it — with webhooks, schedules, integrations and proper error handling.
A build prompt that gets Claude Code to set up a business WordPress and Elementor site with a theme, page structure, SEO, forms, speed and security.
A build prompt for a conversion-focused landing page or a personal portfolio, with copy, design, animation, SEO and form flows.
A build prompt for an iOS and Android app with Expo / React Native: push notifications, offline mode, in-app purchases and app store optimization.
A build prompt for an internal tool or admin panel with role-based permissions, bulk actions, an audit log and reporting.
A build prompt that gets Claude Code, Cursor or v0 to ship a multi-tenant SaaS dashboard in one go: auth, RBAC, billing, analytics and ⌘K search included.
Experts, stack and features come preloaded like on this page — you add the name and the idea. Free, no card required.