Google Chrome has quietly introduced one of the most important shifts in web development WebMCP (Web Model Context Protocol). Instead of AI guessing how websites work, Chrome now allows websites to expose structured actions directly to AI agents. This blog focuses purely on practical developer use cases, a simple working demo, and why WebMCP could redefine how users interact with the web.
Explore what Clawdbot (now Moltbot) is, why it’s trending in the AI world, how it can improve daily life, Telegram integration with code examples, and the real monthly cost of running your own AI personal agent.
Learn real-world AI engineering lessons from building a local LLM application. Understand challenges, optimizations, streaming, prompt failures, and production techniques.
Learn how to dockerize FastAPI and Ollama for local LLM applications. Understand macOS networking issues, IPv6 problems, and best practices for cloud deployment.
Learn how to build an AI application using local LLMs like LLaMA. Understand architecture, Ollama runtime, and why demo apps are essential for mastering AI engineering.
A complete guide to RAG architecture explaining how Retrieval-Augmented Generation works, its components, data flow, and the most commonly used algorithms in modern AI systems.
A simplified introduction explaining why vector databases are essential for Retrieval-Augmented Generation (RAG), how they improve semantic search, and a small code example to help beginners understand the workflow.