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AI SaaS Development

AI-powered SaaS and MVP development — from first idea to a live product.

I build AI-powered SaaS products and MVPs — applications that use LLM APIs (OpenAI, Claude), structured data, and secure backends to solve real business problems, from sales assistance to lead management.

#what-i-do

AI SaaS and MVP development
LLM API integration (OpenAI, Claude)
AI agents, RAG, and vector search with pgvector
Authentication, dashboards, and role-based access
Stripe payments, subscriptions, and checkout flows
Production deployment on Vercel

#how-i-work

Design the AI flows around a real user problem, not a demo
Structure data and prompts so outputs stay relevant and fast
Wire up payments, auth, and deployment for a launch-ready product

#technologies

OpenAIClaudeSupabasepgvectorNext.jsStripeVercel

#real-projects

#related-expertise

#faq

Can you build an AI SaaS MVP from scratch?+

Yes. I design the product flow, integrate LLM APIs, add auth and dashboards, and deploy a launch-ready MVP on Vercel.

Which AI models and APIs do you work with?+

OpenAI and Claude for LLM features, plus Supabase/pgvector when the product needs retrieval-augmented generation or semantic search.

Do you handle subscriptions and payments?+

Yes. I implement Stripe checkout and subscription flows alongside the AI product so monetization is ready at launch.

What does a typical AI SaaS engagement look like?+

Clarify the user problem, prototype the AI workflow, harden auth and data, then ship a production URL with documentation and iteration plan.

Have a project in mind?

I typically respond within 24 hours with clear next steps.