From trial-and-error to a cleaner local AI workflow.

XDA Developers

Lessons learned from months of self-hosting LLMs distilled into five practical changes: adopting Docker-only deployment for stability, documenting every configuration detail from the start, building agent-first infrastructure with tools like AgenticSeek and n8n instead of just chat interfaces, avoiding model hoarding by keeping only a few reliable models, and focusing on workflow integration so the LLM is embedded in daily work rather than a separate destination.

I’d do these 5 things differently if I started self-hosting LLMs today

Adopting "Agent-First" infrastructure from day one

<p>The points are good but the usage of AI to write this article is so painfully obvious to me that i cannot read it without feeling like i am reading something by someone who did not care at all about the output quality.</p>


<p>Great article. Contains many useful information.</p>
