AI MVPs
Short answer: ship one AI workflow on the web — auth, a model API, a meter — before you talk about agents or fine-tunes. These pages answer the product questions people actually search.
Already have a Cursor/Lovable demo? That’s the prototype → production cluster. This hub is what to build when AI is the product.
AI MVP
RAG MVP
A RAG MVP is one job — “ask my files” — with ingest, chunking, retrieval, citations, and auth so User A cannot retrieve User B’s documents. It is not a chatbot with a PDF upload bolted on.
AI MVP
AI Agents MVP
An AI agents MVP is one agent, one job, a small tool list, and a human in the loop on anything that spends money or sends email. Multi-agent graphs are usually a later problem.
AI MVP
AI Chatbot MVP
An AI chatbot MVP answers one class of questions on one channel, with a human handoff and a source of truth. A floating widget that hallucinates your pricing is not a product.
AI MVP
AI SaaS MVP
An AI SaaS MVP is one workflow wrapped in auth, workspaces, Stripe, and usage metering. The model is an API. The product is the job and the bill.
AI MVP
AI Automation MVP
An AI automation MVP is a trigger → LLM step → write-back with an approval on irreversible actions. Stay in Zapier/Make until volume, permissions, or latency force a worker you own.
Playbook
How to Build SaaS with AI
Build SaaS with AI by picking one user job, calling a hosted model, wrapping it in Next.js auth and Stripe, and capping tokens. Do not start with agents, fine-tunes, or your own GPUs.
Architecture
AI MVP Architecture
AI MVP architecture is a web app, a background worker, a model API, Postgres, and a meter. Not a mesh of agents and not a Python monolith you cannot hire for.
Cost
AI MVP Cost
AI MVP cost is two bills: the product build (same ballpark as other web MVPs) and inference (tokens). Founders underestimate the second. Cap usage before you buy ads.
Web + stack
FAQ
What AI products do you document here?
RAG, agents, chatbots, AI SaaS, automation, architecture, and cost — plus how to build SaaS with AI. Separate from the AI prototype → production cluster (Cursor, Lovable, Bolt).
Do I need RAG or just a chatbot?
RAG if users ask over their files. A chatbot if the answers are a short, owned FAQ. Agents if the model must call tools.