AI works best when it uses your context consciously and consensually—moving it from big tech tracking to user-owned, task-focused agents that deliver better outcomes responsibly.

How I rebuilt my AI chatbot without RAG: bigger context windows, prompt caching and tool-using agents replaced embeddings and a vector database.

While AI tools can generate complex code quickly, they don't eliminate the need for technical knowledge. The piece argues that AI is better used as a learning tool to develop foundational technical understanding rather than as a replacement for coding skills.

How I built ZeidBot - a RAG chatbot using Vector DBs, LLMs, embedders and LangChain. Using tools within the AI-stack and building reasoning applications with precision and control.

Step-by-step walkthrough showing how to harness the power of AI locally. Learn to run language models on your own computer, opening up new possibilities for privacy-focused and tailored AI applications.

A walkthrough of AI fundamentals which helps contextualise the current excitement around Retrieval-Augmented Generation (RAG) and Agentic AI Applications.