The AI-Native SaaS Boilerplate with a Built-In AI Framework

Most AI SaaS templates bolt on a chatbot or include an OpenAI API route and call it "AI-ready." VibeReady has a 3-layer AI Framework — AGENTS.md core rules, 14 auto-loaded scoped rules, and 22 structured skills with mandatory quality gates — that gives AI coding tools architectural context, pattern enforcement, and structured workflows. It's the difference between AI generating on a blank canvas and AI building within your architecture.

Next.js 16, TypeScript, Prisma ORM, PostgreSQL, Tailwind CSS, shadcn/ui, Clerk (auth), Stripe (payments), Resend (email), Inngest (background jobs), Terraform (infrastructure), Docker, and GitHub Actions CI/CD. A modern, production-grade Next.js AI template stack.

All five major tools: Claude Code, Cursor, Windsurf, Gemini CLI, and GitHub Copilot. Built on AGENTS.md — the LLM-agnostic industry standard for AI coding context — so there's no vendor lock-in. Run make ai-setup to generate configs for all tools at once.

AGENTS.md is the industry standard for giving AI coding tools your project's rules, architecture, and conventions. VibeReady builds on it with 14 scoped rules that auto-load based on what files you edit, plus 22 structured skills that enforce quality gates — making it a complete AGENTS.md starter kit for any AI SaaS starter kit project.

Yes. VibeReady is a full SaaS starter kit with 20+ production features — auth, payments, multi-tenancy, RBAC, background jobs, email, admin dashboard, and more. The AI Framework is a bonus layer that activates when you use AI coding tools.

Run make ai-setup and the framework generates all configuration files — AGENTS.md, scoped rules for each tool, skill library, and MCP configs. It adapts to your project structure. One-time purchase, unlimited projects.

Yes. The AI Framework ($149) installs into an existing codebase: make ai-setup generates AGENTS.md, scoped rules, and the skill library adapted to your project structure. If your stack differs from the kit's defaults, the built-in stack-swap skill walks your AI tool through adjusting the framework to your technology — rule files, skill references, and the stack manifest get updated (say, Drizzle instead of Prisma or NextAuth instead of Clerk) while the universal principles stay intact.

Production-ready. The Full Kit ($399) includes Terraform Infrastructure as Code for GCP, CI/CD pipeline with GitHub Actions, automated security scanning, RBAC with role-based permissions, multi-tenancy, and a super admin dashboard. It's a production-ready SaaS template, not a weekend prototype.

Every feature starts from a Product Requirements Document — not an improvised prompt. Run specify to create a structured PRD from templates, plan to break it into implementation tasks, then new-feature to build with TDD and quality gates. It replaces ad-hoc prompting with a repeatable, auditable workflow.

Yes. The Full Kit includes a working AI assistant built on AI SDK v6 with multi-provider LLM support (OpenAI, Anthropic, Google via OpenRouter). It goes well past launch-era tool calling: persistent conversation memory (sidebar history, auto-titles, resume, tool replay) plus cross-session memory scoped per org and user, a Knowledge Base / RAG layer on pgvector so it answers from your uploaded docs, and human-in-the-loop approval on write-actions like invites and role changes — with an AI-provenance audit trail. You customize the system prompt, tools, and UI for your product's specific use case.

Out of the box, VibeReady connects to OpenRouter, giving you access to 300+ models from OpenAI, Anthropic, and Google through a single API. You can also connect directly to OpenAI, Anthropic, or Google APIs. Switching providers is a config change (LLM_PROVIDER plus the provider's API key) with no code changes.