AI
Models & tools
Which model for which job – and does it really have to be the cloud? These articles compare models, tools and setups soberly: capabilities, costs, privacy.
Fable 5 vs. Kimi K3: The New Top Duel in AI Models
Claude Fable 5 versus Kimi K3 – and the rest of the field: strengths, prices, context windows and benchmarks of today's frontier models, soberly compared. As of July 2026.
LM Studio Bionic: The Local AI Agent, Reality-Checked
LM Studio Bionic brings AI agents to your own machine: coding, documents, research and voice transcription with open models – fully local. What the new app can do, which hardware it really needs and where its limits are.
Local AI vs. Cloud: When Your Own Models Pay Off
Local AI vs. cloud compared: data sovereignty, costs under sustained load, a worked payback example, and the routing pattern that combines both worlds.
ChatGPT Sites: The Builder Europe Doesn't Get
Since July 2026 ChatGPT builds, hosts and publishes websites straight from the chat – just not in the EEA, Switzerland or the UK. What Sites can do technically, what its contract forbids, and why the blocked region is the more interesting story. As of July 2026.
OpenClaw, Hermes or Grok Bot: Which AI Agent Fits You?
OpenClaw, Hermes Agent and Grok Bot compared: two open AI agent frameworks vs. one closed cloud subscription — and which fits you. As of 31 Aug 2026.
OpenClaw: 5 Workflows You Can Use Now
OpenClaw is more than an AI chat: five concrete workflows for research, Home, browser tasks, distributed execution, and controlled weekly reports.
Omarchy: Linux for Developers Using AI Agents
Omarchy explained: what DHH’s Arch Linux system changes for developers using AI agents, how install, snapshots and rollback work — and who it suits.
AI PCs and NPUs: What's Really Behind the Marketing
“AI PC” is stamped on almost every new laptop. What NPUs actually do, which specs matter when buying – and when waiting for the next generation pays off.
Open-Weight Models: What “Open” Really Means in AI
Open-weight vs. open source in AI: the three levels of openness, a licence comparison, the most common mistakes, and a checklist before deployment.
Understanding AI Costs: Tokens, Context, Caching
Understanding AI API costs: the three pricing factors behind every bill, a worked example, and the five practical levers that keep costs under control.
Why AI Hallucinates – and What Actually Helps
Why does AI hallucinate at all? The mechanics behind invented facts, a worked example, the ranked countermeasures, and a checklist for the practical check.