Provider lock-in
Hard-coding to one LLM means rewriting when pricing changes or better models launch. Your agent should work across providers — not be chained to one.
AI AGENT STARTER KIT
AI Agent Starter Kit for Production SaaS
Your users expect AI. Building agent infrastructure from scratch — tool calling, provider routing, access control, multi-tenancy — takes months. VibeReady is the Next.js AI agent template that ships a production-ready agent architecture inside a SaaS foundation. Your product has AI on day one.
Streaming Chat
OpenRouter
Tool Calling
Vercel AI SDK
Multi-Tenant
Why Building AI Agent Infrastructure from Scratch Stalls Your SaaS
You want to ship an AI-powered product, not become an AI infrastructure team. But that’s exactly what happens when you build agent capabilities from scratch.
Security at scale
AI agents with tool access need role-based permissions and multi-tenant isolation. Get it wrong and User A’s agent sees User B’s data. This isn’t a nice-to-have — it’s table stakes.
The plumbing takes longer than the product
Streaming, conversation state, error handling, token tracking, rate limiting — this is months of infrastructure before your first product feature ships.
Planning your AI SaaS? See the step-by-step building guide →
What Ships in the AI Agent Starter Kit
Everything your SaaS needs to offer AI agent features to your users — pre-built, production-ready, and customizable for your domain.
Streaming AI Chat
Built on Vercel AI SDK. Real-time streaming responses with conversation history. Pre-built chat UI components you customize for your product’s use case.
Multi-Provider LLM via OpenRouter
100+ models from OpenAI, Anthropic, Google through a single API. Switch providers with one environment variable. Your users get the best model for each task — no vendor lock-in.
Tool Calling System
Define tools your AI agent can call — database queries, API actions, calculations. Built on Vercel AI SDK with validated schemas and role-based access. Admins and members see appropriate tools automatically.
Multi-Tenant Agent Isolation
Every agent interaction is scoped by organization. User A’s agent never sees User B’s data. Built into the tool calling architecture, not bolted on.
Usage Tracking & Billing-Ready
Token counting per user, per organization. Ready to wire into metered billing or usage-based pricing. Know exactly what each customer costs you.
MCP-Extensible
Connect your agent to external systems via Model Context Protocol. Databases, monitoring, third-party APIs — extend agent capabilities without changing the core architecture.
Agent features are included in the Full Kit ($399).
How the Tool Calling System Works
Tool calling is the core of agentic development — it’s what turns your AI from a chatbot into an agent. Instead of just generating text, your agent can take actions — query data, trigger workflows, update records — all within enforced security boundaries.
1
Define a tool
Write a Zod schema for parameters, a handler function, and a role requirement (admin or member). The schema validates inputs before the handler runs — no hallucinated API calls.
2
Register it
Add the tool to the registry with display config — icon, title, and color for the chat UI. The agent automatically discovers new tools.
3
AI calls it
When a user asks a question, the agent evaluates which tools are relevant. Parameters are validated against the Zod schema. The handler executes with the user’s orgId and role — enforced, not trusted.
4
Scoped by design
Every tool receives organizationId and userId from the session context. Tools can only query data within the user’s organization. Multi-tenancy is enforced at the architecture level.
Extending is built into the architecture. VibeReady ships with structured skills and scoped rules that guide AI coding tools to generate new tools and agent features following your existing patterns. Add a tool, and AI already knows how it should integrate — because the codebase is built for AI comprehension from day one.
See the full SaaS architecture → AI SaaS Boilerplate
What You Can Build with an AI Agent Starter Kit
When you build an AI agent for your SaaS, VibeReady gives you the infrastructure. You customize it for your domain. Here are the most common patterns.
Customer support agent
AI that queries your knowledge base, checks order status, and escalates complex issues to humans. Tool calling lets the agent access real customer data — not just generate generic responses.
Data analyst agent
AI that queries your product’s database, generates reports, and surfaces insights. Define tools for SQL queries, aggregations, and chart data — the agent handles natural language to structured output.
Workflow automation agent
AI that triggers actions across your product: send emails, update records, create tasks, notify team members. Each action is a tool with role-based permissions and audit logging.
Domain expert agent
AI trained on your domain — legal, medical, financial, educational — with access to relevant tools and data. Use MCP to connect to external knowledge sources and APIs specific to your industry.
Ready to build AI agent features into your SaaS?
See PricingBuilt on a Foundation That Understands AI
VibeReady isn’t just an AI agent starter kit — it’s a complete Next.js AI agent foundation with auth (Clerk), billing (Stripe), multi-tenancy, background jobs (Inngest), email (Resend), and production infrastructure (Terraform, GCP, GitHub Actions CI/CD).
It also includes an AI Framework with structured development workflows, quality gates, and architectural context that keep your codebase consistent as you add features. The same framework that builds your product also ensures your AI agent code follows production patterns.
Build vs. Buy: Why an AI Agent Boilerplate Saves You Months
| From Scratch | With VibeReady | |
|---|---|---|
| Tool calling | Build from zero | Vercel AI SDK + role-based access — included |
| LLM providers | Integrate each separately | OpenRouter: 100+ models, one env var |
| Chat UI | Build streaming + state | Vercel AI SDK + pre-built components |
| Multi-tenancy | Design isolation layer | Scoped by orgId — built in |
| Usage tracking | Build token metering | Per user/org, Stripe-ready |
| MCP integration | Wire up each data source manually | Connect databases, APIs, docs via MCP standard |
| Extending agents | No guardrails or patterns | Skills + rules guide AI to follow your architecture |
| SaaS foundation | Months of plumbing | Clerk, Stripe, Prisma, Terraform, CI/CD |
Skip the build. Ship AI agent features this week.
Get VibeReadyStart Building Agentic SaaS Products
AI Framework Only
$149 one-time payment
- One command adapts all context to your tech stack
- AI loads only the context it needs (AGENTS.md)
- Any AI tool — Claude Code, Cursor, Windsurf & more
- Agent Skills (open standard) for features, bugs & more
- Auto-generated docs that never go stale
- Tests, types & security enforced every change
- Tutorials from first setup to advanced workflows
Best for: Existing projects — add structured vibe coding to any tech stack with PRD workflows, skills, and quality gates.
Get AI Framework Full source code, lifetime updates
Most Popular
Full Kit
$399 one-time payment
- Everything in AI Framework PLUS:
- AI Agent with real data access — swap providers anytime
- One-command deploy to GCP — Terraform & CI/CD
- Must-have features built in — email, jobs, flags & more
- Auth, billing & multi-tenancy — ready day one
- Multi-step onboarding with team invites built in
- Super admin with View As, management & audit logs
Best for: New projects — a production-ready SaaS foundation with the AI Framework built in.
Get Full Kit Full source code, lifetime updates
Agent features (tool calling, OpenRouter, Vercel AI SDK, chat UI) are included in the Full Kit. The AI Framework edition includes development tools only.
AI Agent Starter Kit: Frequently Asked Questions
What is an AI agent starter kit?
An AI agent template — a pre-built foundation for shipping SaaS products with AI agent capabilities: tool calling, multi-provider LLM routing, streaming chat, usage tracking, and multi-tenant isolation. You customize for your domain instead of building AI infrastructure from scratch.
What AI agent features does VibeReady include?
Streaming chat built on Vercel AI SDK, multi-provider LLM routing via OpenRouter (100+ models from OpenAI, Anthropic, Google), a tool calling system with role-based access and schema validation, multi-tenant isolation scoped by organization, token usage tracking per user and per org, and MCP extensibility to connect your agent to external systems.
Can I add custom tools to the AI agent?
Yes. Define a schema for parameters, write a handler function, and set a role requirement (admin or member). Register it in the tool registry with display config (icon, title, color). The AI agent automatically discovers and uses new tools — no prompt engineering required.
How does multi-tenant isolation work for AI agents?
Every tool call receives the user's organizationId and userId. Tools can only query data within that organization. There's no way for one user's agent to access another organization's data — isolation is enforced at the tool level, not the prompt level. This is built into the factory pattern, not bolted on after the fact.
Which LLM providers does the AI agent support?
OpenRouter gives your agent access to 100+ models from OpenAI, Anthropic, and Google through a single API. You can also connect directly to OpenAI, Anthropic, or Google APIs. Switching providers requires changing one environment variable — no code changes, no re-deployment.
What's the difference between the AI Framework ($149) and the Full Kit ($399)?
The AI Framework includes development tools: structured workflows, quality gates, and architectural context for building with AI coding tools. The Full Kit adds user-facing agent infrastructure: Vercel AI SDK, OpenRouter integration, tool calling system, chat UI components, plus all SaaS features (auth, billing, multi-tenancy, infrastructure). Agent features require the Full Kit.
How is this different from LangChain or CrewAI?
LangChain and CrewAI are agent orchestration frameworks — they help you build agents but not SaaS products. VibeReady is a SaaS starter kit with agent infrastructure built in: authentication, billing, multi-tenancy, deployment pipeline, plus tool calling and LLM routing. You ship a product with a login page, billing, and AI features — not a Python script.
Can I extend the agent with MCP?
Yes. Model Context Protocol lets you connect your agent to external systems — databases, monitoring tools, third-party APIs, document stores. Add any MCP server to give your agent new capabilities without changing the core architecture. This is how you go from a chatbot to a domain-specific agent.
Have more questions? See our full FAQ →
Ready to Ship AI Agent Features?
Stop building agent infrastructure from scratch. Start with tool calling, multi-provider LLM, and streaming chat — inside a production-ready SaaS foundation.