Home AI Platform

Local LLMs · Open WebUI · Docker · APIs · Automation

A private AI environment running on self-hosted infrastructure for experimenting with local language models, automation, document workflows, and software integrations.

The Goal

The goal of this project is to build an AI environment that I can control and extend rather than relying entirely on standalone cloud applications.

It provides a foundation for experimenting with local inference, private data workflows, APIs, and automation while integrating AI with the rest of my home infrastructure.

Architecture

AI Interface

– Open WebUI
– Browser-based access
– Private authentication
– Central interface for local models

Compute & Hosting

– Linux server
– Docker
– Local model runtime
– Persistent configuration and storage

Access Layer

– Cloudflare Tunnel
– Private remote access
– No traditional inbound port forwarding

What I’m Building Toward

The platform is intended to support workflows such as:

– working with personal documents
– development assistance
– local knowledge search
– automation of repetitive tasks
– integration with home services
– API-driven workflows
– experimentation with different local models

Why Local AI

Running AI locally gives me a practical environment to learn how AI applications actually fit into broader systems.

Instead of treating an LLM as an isolated chatbot, I can experiment with the surrounding architecture: storage, authentication, APIs, automation, monitoring, networking, and integration with other applications.

Integration With My Home Platform

The AI environment is part of the broader personal cloud infrastructure rather than a standalone machine.

It runs alongside services such as Nextcloud, WordPress, media services, monitoring, and automation tools, allowing future workflows to connect AI with existing applications and data.

Technologies

AI
Open WebUI · Local LLMs

Infrastructure
Linux · Docker · Cloudflare

Development & Automation
Python · APIs · JSON · Bash

Future Integration
Personal documents · Search · Home services · Developer tooling

What This Project Demonstrates

This project explores AI as an integrated software platform rather than only a user-facing application.

It demonstrates experience with:

– self-hosted AI applications
– containerized deployment
– secure remote access
– API integration
– Linux infrastructure
– automation
– system architecture
– experimenting with emerging technologies

Current Status

Operational

– Private Open WebUI instance
– Self-hosted infrastructure
– Secure remote access
– Integration with the existing home platform

In Development

– Local model experimentation
– document and knowledge integration
– automation workflows
– deeper application integrations