Guides
Practical writing about running open-source AI yourself: what the hardware actually delivers, what the licences actually say, and what the bill actually looks like.
AI assistantsOpenClaw setup: what you need before you startWhat OpenClaw actually needs to run: the gateway, a model key, chat bridges and somewhere always-on to h…
AutomationHow to self-host n8n (and what the licence actually says)A practical guide to running n8n yourself: what it needs in production, the webhook URL trap, and what t…
Private LLMRunning an LLM on CPU: what actually worksWhat a quantized model really delivers on CPU cores: tokens per second, memory needed per model size, wh…
ArchitectureA self-hosted AI stack that actually holds togetherChat, gateway, model, retrieval and observability: which open-source pieces fit together, what each one …
CostCutting an LLM bill without cutting qualityWhere model spend actually goes and the seven changes that reduce it: routing, caching, context discipli…
MCPHow to host an MCP server your agents can reachModel Context Protocol servers are built for local stdio. What changes when a hosted agent needs them, h…Put your AI stack on your own box
Pick an app, pick a size, and have it running today. Month to month, cancel whenever.