Rapid AI Product Development & Prototyping

AI MVP Development & LLM Engineering

Turn your artificial intelligence concepts into working, market-ready products with custom OpenAI/Claude integrations, RAG vector pipelines, and autonomous agent workflows.

See What We Build → Get a Quote →

OpenAI & Claude API LangChain & LlamaIndex Pinecone Vector DB 14-Day Sprint

Why AI MVP Engineering

Ship Functional AI Products Before Your Competitors

Velocity · Launch

14-Day Rapid Production Sprint

We skip endless slide decks and build working production prototypes connected to LLM APIs in just two weeks.

RAG · Search

Custom RAG Vector Search

Connecting Pinecone or Qdrant vector databases to ground AI model responses in your proprietary business data.

Agents · Automation

Autonomous Agent Workflows

Engineering multi-step agent chains with LangChain and AutoGen to execute complex task sequences autonomously.

Monetization · SaaS

Production SaaS Integration

Integrating Stripe usage metering, user authentication, and rate limiting so you can start charging users immediately.

Our Work

Built for Real Outcomes,
Not Just Concepts

Case Study — Cognitive AI Search Engine

LLM RAG Vector Search & Autonomous Agent System

Cognitive AI needed a production MVP to present to seed investors. We built a Next.js front-end connected to OpenAI GPT-4 and Pinecone vector search for automated document synthesis.

14 Days Idea to Live Seed Demo

3 LLMs In One Pipeline

Key Deliverables

Next.js AI Interface OpenAI GPT-4 Integration Pinecone Vector Database Stripe SaaS Billing

View Case Study →

What You Get

Every layer of your AI stack, engineered by Cr8v Stacks.

Custom LLM prompt pipelines, vector embedding databases, user interfaces, Stripe subscription metering, and production hosting setup.

01 · Interface

Next.js AI Product Front-End

Responsive Chat UI, streaming text responses, and document upload interfaces built with Next.js and Tailwind.

Discuss AI interfaces →

02 · Models

OpenAI & Claude LLM Wiring

Connecting GPT-4o and Anthropic Claude APIs with system prompt engineering and token usage optimizations.

Discuss LLM wiring →

03 · Vector DB

Pinecone & Qdrant Vector Pipelines

Embedding unstructured PDF, text, and database data for similarity search and ground truth generation.

Discuss vector databases →

04 · Monetization

Stripe Token Billing & Auth

Integrating Clerk/Supabase user auth and Stripe usage-based pricing models for token consumption.

Discuss token billing →

05 · Hosting

Vercel & Supabase Cloud Deployment

Zero-downtime deployment setup on Vercel with automated CI/CD and Supabase database backend.

Discuss cloud deployments →

How We Approach It

How We Approach AI MVP Engineering

Our milestone-driven design and engineering process delivers clear progress at every phase of your project.

Scope

Prompts · Wireframes ·
Model Selection

We map core AI product features, select optimal LLM foundation models, and design wireframes.

Pipeline

Embeddings · RAG ·
Vector Search

We construct vector database indexes, write system prompts, and build RAG document retrieval pipelines.

Interface

Next.js · Streaming ·
Stripe Auth

We build responsive Next.js front-end components with token streaming and Stripe subscription metering.

Launch

Vercel · Live Demo ·
Analytics

We deploy to production cloud hosting, verify API token limits, and deliver your live AI product demo.

AI Stack Options

Choosing Your AI Architecture

Whether you need an AI prototype, a vector search engine, or an enterprise AI SaaS:

Stack · Prototype

Rapid AI Prototype

For founders needing a focused production prototype to validate AI concepts with real users.

Stack · Vector

RAG Vector Search Engine

For businesses connecting LLMs to internal document databases and proprietary knowledge bases.

Stack · SaaS

Full AI SaaS Platform

Complete AI web product with user accounts, token billing, team workspaces, and custom model fine-tuning.

Stack · Retainer

AI Model Tuning Retainer

Ongoing prompt engineering, model upgrades, vector index rebalancing, and API cost tuning.

Ready to build an AI product? Schedule an AI scoping call to review model selection and vector database requirements.

Start an AI MVP Scoping Call →

Project Catalog

Every Kind of AI Product We Engineer

From LLM chatbots to autonomous agent platforms — hover to inspect the AI engineering stack.

LLM Conversational Interfaces

Custom AI chat interfaces with token streaming, prompt memory, and user workspace management.

Chat AI →

RAG Document Synthesis Engines

Vector search pipelines indexing PDFs, databases, and internal knowledge bases for accurate AI answers.

RAG Engines →

Autonomous AI Agents

Multi-step autonomous agent chains executing web scraping, research, and data synthesis automatically.

AI Agents →

AI Image & Media Generation SaaS

Generative media web applications powered by DALL-E 3, Midjourney API, and Stable Diffusion.

Generative AI →

Fine-Tuned Model APIs

Domain-specific fine-tuned LLMs deployed as private microservice endpoints for specialized tasks.

Fine-Tuning →

AI SaaS Token Subscription Systems

Complete SaaS infrastructure with Stripe token tiers, team seats, and API billing management.

AI SaaS Stack →

Client Feedback

What clients say after launch

They took our rough workflow idea and shaped it into a working prototype our first users could try. The interface made the AI easy to trust.

Chinedu Obi — Founder, Promptly Labs, Lagos

Connecting the AI tools to our data was handled thoughtfully, and we learned what our idea needed before spending more.

Siddharth Rao — Senior Product Lead, Halcyon AI, Bengaluru

The model set-up was sensible and well explained. They told us plainly what to build now and what to leave for later.

Chloe Bennett — CTO, Fernhill Analytics, Cape Town

PRICING MODELS

HOW WE WORK TOGETHER

Whether you need a dedicated extension of your team or a custom AI build with guaranteed delivery, we have a model to fit.

Ongoing Support

Growth Retainer

$800/mo

A monthly block of dedicated senior AI engineering hours for continuous model prompt tuning, vector index updates, model fine-tuning, and feature releases.

Dedicated monthly AI developer hours block

Vector database rebalancing & prompt tuning

Model API upgrade migrations (e.g. GPT-4o)

Secure Retainer Slot

Fixed Scope

Fixed Projects

From $3,500 entry

A rapid, fixed-scope AI product sprint with transparent scoping, clear milestone deliverables, and full IP source code ownership.

Next.js AI user interface with streaming responses

OpenAI GPT-4 / Claude API wiring & system prompts

Pinecone vector DB setup & Stripe token billing

Start A Project

Project Scope Estimator

Build Your Stack Estimate

Select your desired setup below to calculate an immediate starting price range estimate for your project.

1. Core AI Product Tier

2. Model & Data Pipeline

3. Add-On Engineering

Estimated Starting Investment

$3,500 - $4,375

Included Deliverables:

• Next.js AI product front-end

• OpenAI GPT-4 / Claude API integration

• Live production deployment

Submit Scope Request Or build a custom stack with our Calculator →

COMMON QUESTIONS

AI MVP Engineering FAQ

Clear answers to common questions about our AI MVP production sprints, vector search setups, and LLM integrations.

Talk to us

We leverage battle-tested modular starter architectures, pre-configured vector search connectors, and rapid Next.js UI component libraries to skip repetitive setup and focus 100% on your core AI product logic.
We integrate OpenAI GPT-4o, Anthropic Claude 3.5, Google Gemini Pro, Llama 3 open-source models, and DALL-E image models, selecting the optimal foundation model for your performance and cost requirements.
Retrieval-Augmented Generation (RAG) connects foundation LLMs directly to your business data (PDFs, databases, docs), allowing the AI model to answer queries using your exact company information with zero hallucinations.
Yes. We include full Stripe subscription billing integration with token consumption metering and user authentication, allowing you to launch and accept customer payments immediately.
You own 100% of the custom source code, vector index configurations, prompt templates, and repository IP upon final project payment.
We provide post-launch support and offer dedicated monthly retainers for ongoing prompt optimization, feature iterations, and AI model API upgrades.