AI-Projects

Field-tested, step-by-step guides for building your own AI, automation and self-hosting projects. The articles take you from the prerequisites through installation and configuration to a working system, document common pitfalls and show how to reliably verify functionality, security and results.

AI-Projects

AI Agent on Your Own NAS: Setting Up the Hermes Agent with Docker, Dashboard, and Telegram

A field-tested step-by-step guide, including the stumbling blocks from a real-world build A single missing line break was all it took. Hermes could no longer read the configuration file and silently fell back to default values. The container kept running, the dashboard kept responding, nothing flashed red only every security rule that had been set

AI-Projects

AI & APQC Benchmark: How Microsoft Copilot Becomes a Tool for Building Your Own Benchmark

There is a particular moment in almost every large corporation that always plays out the same way. Someone from Controlling asks: “Are we actually efficient? How do we compare to our own subsidiaries?” And then comes the reflexive follow-up: “Shouldn’t we bring in a consultancy for that?” Consulting firms specialize in answering exactly this question

AI-Projects

OpenClaw with ChatGPT Plus and Claude MAX: From €400 Variable API Costs to Predictable Flat Rates

A technical step-by-step guide for Docker environments, illustrated with a Synology NAS – reproduced and rebuilt from scratch, complete with a backup harness, cost brake, and a few tripwires you’re better off spotting in advance. What OpenClaw is, and why it needs model access on this scale in the first place, is explained in OpenClaw

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