Ai-Agents

Scoby: I built a free Kimchi

Kimchi’s shape (plan, build, judge, three models) on free inference APIs. What free actually means, why compaction had to be turned inside out, and why the cheapest checkpoint is still a person reading the plan.

Kimchi's terminal UI on first launch in the brew-buddy repo — the opening prompt reads 'hi kimchi welcome to my homelab. My name is Janos and i'd like to try you'

I gave Kimchi my kombucha app

Same builder model, same task, two harness modes — a real feature on my homelab, and why the architecture, not a smarter model, decided every outcome that mattered.

n8n workflow canvas

🍵 I A/B-Tested Cloud vs Local LLMs in One n8n Agent. The Local One Faked It.

I built an AI agent in self-hosted n8n over my kombucha-tracking app, then gave it two brains — NVIDIA’s 70B and a local Phi-3.5 — sharing the same tools. The cloud model called the tools and answered from real data. The local one couldn’t, so it made things up.