OpenClaw – Complete Guide, Part 1: Installation and First Launch
Part one of the practical OpenClaw guide: requirements, local vs VPS installation, the onboarding wizard, and daemon configuration.
Artificial Intelligence
Language models, agents, local AI and everything that is changing the way we work. Here you’ll find analysis of what’s new (minus the hype), hands-on guides for running models on your own computer and a few thoughts on where we’re heading.
OpenClaw: The AI That Works While You Sleep (But Be Careful What You Give It Access To)
OpenClaw has surpassed 100,000 GitHub stars promising proactive 24/7 AI agents. A complete breakdown: what it does, the hype, pros, cons, security risks, and real costs.
Doc Analyzer: Multi-Format Support and an Advanced Interface for Your Local AI
Doc Analyzer evolves with support for new file formats (TXT, RTF, code, Markdown and YAML), LLM model selection, and advanced context management, while keeping your data 100% safe and local.
QwQ-32B: The Little AI Giant Taking On the Colossi (Even on Your PC)
QwQ-32B promises performance comparable to models 20 times its size, with support for local execution. Find out how this model with just 32 billion parameters can compete with giants like DeepSeek-R1, …
Open WebUI with Docker and Ollama: 2026 Installation Guide
A complete, up-to-date guide to installing and configuring Open WebUI with Docker and Ollama (including Windows with WSL), turning your computer into a private AI workstation: a ChatGPT-style …
Doc Analyzer: The New Release - More Formats, More Flexibility
Discover Doc Analyzer’s new features: multi-format support, a modular architecture, and flexibility in choosing the language model.
DeepSeek R1 Locally with Ollama: A Mac Guide (2026)
The up-to-date guide to installing and using DeepSeek R1 on your Mac with Ollama: which model to pick for your RAM, context length, Zed integration and troubleshooting. No compromises on privacy and a …
AI for Everyone: How Do We Know If an AI Really Works? (Part 6)
From hallucinations to human feedback, discover how to assess whether an AI really works well. Sixth and final part of our guide that makes AI understandable for everyone.
AI for Everyone: Optimization and Putting Models on a Diet (Part 5)
From quantization to model compression, discover how to make AI models more efficient and lightweight, explained through culinary and post-lunch analogies. Part five of our guide that makes AI …
AI for Everyone: Advanced Techniques Made Simple (Part 4)
From Chain of Thought to RAG, discover how AI learns to think and reason through practical examples and everyday analogies. Part four of our guide that makes AI understandable for everyone.
AI for Everyone: Architectures and Artificial Brains (Part 3)
From neural networks to attention mechanisms, discover how the ‘brain’ of AI works through simple and fun analogies. Part three of our guide that makes AI understandable for everyone.
AI for Everyone: How Machines Learn (Part 2)
A fun journey through the different ways machines learn, explained with everyday analogies: from a bike with training wheels to training a dog, discover how artificial learning really works.