Topic
AI Fundamentals
How AI actually works, in plain English: LLMs, transformers, tokens, embeddings, RAG, fine-tuning and the terms behind the headlines.4 posts
AI AgentsAgentic AI vs Generative AI: The Difference ExplainedGenerative AI creates content when prompted; agentic AI uses the same model to plan and take actions toward a goal. Differences, a table, examples and costs. · 8 min read
MCP and IntegrationsMCP vs RAG: Different Jobs, and How They Work TogetherRAG grounds answers in retrieved text; MCP connects AI apps to tools and live data. A clear comparison table, when to use each and how to combine them. · 7 min read
AI FundamentalsRAG vs Fine-Tuning: When to Use Each (and When to Use Neither)RAG gives a model knowledge; fine-tuning changes its behaviour. A decision table, costs as of October 2026, what vendors still allow and how to combine both. · 9 min read
AI FundamentalsWhat is llms.txt? The format, who uses it and whether AI actually reads itllms.txt is a proposed Markdown file that gives LLMs a map of your site. Here is the format, who publishes one, and what Google and AI tools really do with it. · 6 min read