A fast, SEO-ready storefront on Next.js + headless commerce: product catalog, cart, Stripe or Iyzico/PayTR checkout and search. Build prompt ready.
Built for: Brands, agencies and teams moving from Shopify to headless
Headless e-commerce splits the storefront from the backend: catalog, inventory and orders come from an API, while the Next.js storefront loads in milliseconds, not seconds. Payments and invoicing are critical: Stripe for global sales, plus Iyzico, PayTR and e-invoicing (e-Fatura) if you sell in Turkey.
The prompt brings the product-variant model, the cart/checkout state machine, search (Algolia/Typesense) and SEO requirements (structured data, sitemap, Core Web Vitals) together in a single document.
Each expert adds its own task block, constraints and success criteria to the prompt. Default selection for Headless E-commerce:
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.
AEO + SEO: programmatic SEO pages, schema.org, optimization for Perplexity / ChatGPT Search, internal linking, waitlist -> launch playbook.
Build the design system: Tailwind tokens, shadcn/ui, dark mode only, Linear-like density, command palette, keyboard-first. Describe wireframes for the 3 critical flows.
Deployment and operations plan: CI/CD pipeline (preview + production), IaC, secrets management, observability (logs, traces, alerts), SLO/SLA definitions, incident runbook, cost estimate and scaling thresholds.
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 fast, SEO-first headless storefront for a fashion brand". Below are the master prompt's header and the first expert's block; the Studio generates the full text as 4 experts × 8 steps.
# Headless E-commerce - MASTER BUILD PROMPT Stack: Next.js 16 (App Router), Go Fiber Goal: A fast, SEO-first headless storefront for a fashion brand This prompt builds a full-stack Headless E-Commerce in 8 steps. Each step consumes the previous step's output. 4 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="Staff Engineer / CTO" org="ex-Stripe, ex-Vercel" specialty="System Architecture" experience="12y"> You are a Staff Engineer / CTO with 12 years of experience. Specialty: System Architecture. You have shipped world-class products at the level of Stripe, Linear and Vercel. </role> <context> Project: Headless E-commerce - A fast, SEO-first headless storefront for a fashion brand Type: Headless E-Commerce Vision: Catalog and inventory come from a headless API; the storefront runs on Next.js ISR. Products with variants, promotion rules, Stripe checkout with 3D Secure, an e-invoicing webhook, Typesense search and an LCP < 1.5 s target. Target user: Brands, agencies and teams moving from Shopify to headless - Pain: - Budget: Competitors: USP: Monetization: Commission %, One-time + Lifetime | Payments: Stripe Tech Stack: Next.js 16 (App Router), Go Fiber, PlanetScale, Algolia Features: Advanced CRUD + Bulk Ops, Global Search (⌘K), File Upload + CDN, Ratings & Reviews, Notifications Center, Analytics Charts, Webhooks & Events Compliance: KVKK/GDPR, 3D Secure Lang: EN </context> <task> 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. 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: Go Fiber - Edge runtime, RPC, zod validation - DB: PlanetScale - pgvector for semantic search, type-safe ORM, RLS policies - Auth: - Passkeys first, org/team model - Search: Algolia - typo-tolerant, faceted - Realtime: - presence, CRDT-ready Payment flow: Stripe -> Webhook -> Background job -> Entitlement update -> Audit log </technical_architecture> <feature_matrix> - [ ] Advanced CRUD + Bulk Ops -> Spec + API + UI + Tests - [ ] Global Search (⌘K) -> Spec + API + UI + Tests …
Stripe for international sales, Iyzico or PayTR if you sell in Turkey; the prompt connects both to the same payment abstraction layer.
Product schema (JSON-LD), canonical URLs, a sitemap, image optimization and Core Web Vitals targets all sit in the SEO/AEO Strategist's task block.
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).
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Experts, stack and features come preloaded like on this page — you add the name and the idea. Free, no card required.