AI Stack Blueprint

The Local AI Self-Hosted Stack

Run powerful AI models on your own hardware — zero API costs, zero data exposure.

Goal

Build a private, cost-free AI assistant stack using Ollama for local model serving, Open WebUI as the chat frontend, Jan for desktop model exploration, and Groq as a fast cloud inference fallback when you need speed.

Built For

Privacy-conscious developers, indie hackers, and AI builders who want to eliminate API costs and keep sensitive data on-device.

Est. Cost

Free – $20/mo

Run a fully private AI stack for $0/month in API costs on your own hardware

A.R.C. Scorestale

71.1/100

Architecture87/100

Reliability68/100

Context50/100

Context sub-score of 50/100 indicates weakening ecosystem momentum — Jan (score: 34) and Groq (score: 49) are primary drags on long-context capability and vendor momentum in this stack. Reliability at 68/100 is moderate; Ollama's low absolute score (26) warrants monitoring for stability issues. Architecture remains strong (87), allowing tool substitutions without structural breakage, but users should plan for fallback options as the local-first ecosystem matures.