What Is MCP (Model Context Protocol)? Connecting AI to Your Tools
MCP is the USB-C of AI integrations: one open standard so any assistant can talk to any tool. Here is how it works, why it won, and what to watch out for.
AI Beginner Guides
Clear, jargon-free guides that explain AI concepts, tools, and workflows from the ground up.
Updated Jul 15, 2026
How Speech-to-Text Works: From Sound Waves to Transcripts
Speech recognition went from a brittle research problem to a solved-ish commodity in about three years. Here is the pipeline that made it work — and where it still breaks.
Chain-of-Thought and Reasoning Models, Explained
Letting a model 'think' before answering measurably improves hard reasoning. Here is how chain-of-thought works, how it grew into dedicated reasoning models, and when the extra cost pays off.
How LLM Inference Works: Tokens, KV Cache, and Why It Costs What It Costs
Every word an LLM generates has a cost in compute, memory, and time. Here is what actually happens during inference — and why it explains latency, throughput, and per-token pricing.
What Are AI Agents? Tool Use, Planning, and the Honest Limits
An AI agent is a language model given tools and a loop, so it can take actions instead of just talking. Here is how they actually work, where they help, and where the hype outruns reality.
What Is a Vector Database, and When Do You Need One?
A vector database stores embeddings and finds the most similar ones fast. Here is what it actually does, how nearest-neighbor search works, and when you need one versus a simpler option.
What Is Loop Engineering? Designing the Systems That Prompt AI Agents
The hot skill in AI has moved from writing a good prompt to designing the loop that prompts the agent for you. Here is what loop engineering means, why it emerged in 2026, and how to do it well.
How AI Image Generation Works: Diffusion Models Explained
AI image generators don't paint — they denoise. Here is how diffusion models turn random static into a picture that matches your prompt, explained without the math degree.
How CLIP and Multimodal Search Work: One Space for Text and Images
Searching photos by typing a description, or matching an image to a caption, relies on one clever idea: putting text and images into the same mathematical space. Here is how CLIP made that work.
How to Design a RAG System (System Design, Explained)
Designing a RAG system is mostly a search problem with a language model bolted on the end. Here is how the pieces fit together in production — and the design choices that decide whether it works.
How to Actually Evaluate an LLM App (Without Fooling Yourself)
A demo that works on five hand-picked prompts is not a working AI product. Here is how to measure LLM quality honestly — the metrics, the judge models, and the datasets — so you catch failures before your users do.
How Transformers Work: The Architecture Behind Every Modern AI
Almost every AI you use — ChatGPT, Claude, Gemini — is a transformer. Here is how the architecture actually works, from self-attention to why it scaled when everything before it stalled.