AI SaaS development: from LLM demo to paying product

An OpenAI or Claude demo is not an AI SaaS. Buyers pay for a workflow: login, saved context, permissions, billing, and a URL that stays up. AI SaaS development wraps models in a real product, often Lovable or Next.js on the front and Supabase behind it.

#MVP shape that works

• One job the model improves, not AI for everything.
• Auth + per-user data so prompts and history stay private.
• Usage limits or Stripe before costs explode.
• Logging and failure UX when the model times out.

#Stack I ship often

OpenAI or Claude APIs, Supabase (and pgvector when retrieval matters), Stripe, Vercel. Lovable for speed when the UI starts there. Next.js when the product needs a stronger production shell.

AI SaaS launch gate:
[ ] User journey clear without the model
[ ] Secrets server-side only
[ ] Cost controls / rate limits
[ ] Stripe test → live path documented

#Hire signal

If you have a prompt that impresses friends but no multi-user product, AI SaaS Development (or Lovable AI MVP when the UI is Lovable-first) is the fit.