Build an AI SaaS MVP
LLM, RAG, Billing. 2 Weeks.
An AI SaaS product needs more than a ChatGPT wrapper. It needs a reliable LLM orchestration layer, a RAG pipeline that actually retrieves the right context, usage based billing that tracks tokens and API calls, guardrails that prevent hallucination and prompt injection, and a user experience that makes AI feel like magic, not a chatbox. We build all of it in 14 days.
What Ships in Your AI SaaS MVP
Every feature below is included in the fixed price. This is a production AI product, not a prototype with hardcoded prompts.
Why This Is Not a ChatGPT Wrapper
Not a ChatGPT wrapper
We build production AI with guardrails, evaluation pipelines, and model routing. Your users get reliable, grounded responses, not raw LLM output.
Usage billing from day one
Token tracking, per user quotas, and Stripe integration baked in. You can charge per query, per document, or per seat from launch.
Your data, not theirs
RAG pipeline grounds every response in your users' actual content. No hallucinated answers, no generic responses, no data leaking between tenants.
AI that takes action
Tool use and function calling let your AI search databases, call APIs, generate documents, and trigger workflows. Not just text in, text out.
AI SaaS Architecture
The frontend runs on Next.js with streaming server components for real time AI responses. The backend orchestrates LLM calls through a unified API layer that supports model switching, retry logic, and cost optimization. Documents uploaded by users are chunked, embedded, and stored in a vector database (pgvector for simplicity, Pinecone for scale). Every query hits the RAG pipeline: user input is embedded, relevant chunks are retrieved, and the full context is sent to the LLM with system prompts and guardrails. Stripe tracks token usage per user and enforces plan limits. Redis caches frequent queries. The entire system deploys as three services: frontend on Vercel, API on Railway, and the vector database alongside PostgreSQL on Railway.
Tech Stack
Battle tested AI infrastructure. No experimental frameworks, no vendor lock in, no black boxes.
14 Day Build Timeline
Scope and Foundation
60 minute deep dive on your AI use case, data schema, auth setup, LLM provider configuration, CI/CD pipeline
AI Core
LLM orchestration layer, RAG pipeline, document ingestion, vector database setup, streaming chat UI
Product Features
User dashboard, conversation management, document upload, API endpoints, tool use integration
Billing and Guardrails
Stripe usage tracking, plan limits, AI guardrails, prompt injection defense, caching layer, admin panel
Testing and Optimization
Evaluation test suite, latency optimization, cost reduction tuning, security audit, edge case handling
Launch
Production deployment, monitoring setup, analytics, founder walkthrough, first user onboarding test
What Founders Are Building
AI SaaS products we have built or scoped in the last 6 months.
AI SaaS MVP, Fixed Price
$9,99914 day delivery • RAG + billing included • 30 day support
50% upfront, 50% on delivery • Complex builds from $14,999
Start Your AI SaaS MVPSee an AI SaaS We Built
An AI content platform that uses RAG to generate brand voice consistent copy from uploaded style guides. Launched in 14 days with usage based billing and multi tenant knowledge bases.
Read the Case StudyProven Results
Real projects. Real numbers. See what we delivered.
SaaS MVP Shipped in 14 Days: From Napkin Sketch to Paying Customers
$4,200 MRR in month one
How a solo founder went from idea to $4,200 MRR in two weeks with a project management SaaS built on Next.js, PostgreSQL, and Stripe.
Two-Sided Marketplace MVP: From Zero to 200 Listings in 3 Weeks
200 listings, 47 bookings in month one
How we built a services marketplace connecting local contractors with homeowners, complete with booking, payments, and review system.
Mobile App MVP: Cross-Platform Fitness Tracker in 2 Weeks
1,200 downloads in first week
A React Native fitness tracking app with workout logging, progress photos, and social challenges, shipped to both app stores in 14 days.
Frequently Asked Questions
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