Glossary

Terms, defined.

Clear, jargon-free definitions for AI app building, web development, and SEO concepts.

AI App Builder

A tool that generates working applications from natural-language prompts, producing real code you can export and deploy.

A category of tools that let non-developers build applications through visual interfaces without writing code.

Building software by describing what you want in natural language instead of writing every line of code manually.

A tool for building or editing web interfaces through direct manipulation — drag, drop, resize, rearrange — rather than writing code.

Generating HTML on the server for each request, so the page arrives fully rendered in the browser.

Pre-rendering pages at build time so they can be served instantly from a CDN without a server.

A Next.js feature that updates static pages in the background without rebuilding the entire site.

A format for embedding machine-readable metadata in web pages so search engines understand the content and display rich results.

A utility-first CSS framework where you style elements by composing small, single-purpose classes directly in your HTML.

A collection of copy-paste React components built on Radix primitives and styled with Tailwind CSS.

A React framework that adds routing, server rendering, and deployment tooling on top of React's component model.

The hierarchical structure of UI components that make up a page — parent components contain child components.

A global network of servers that delivers your website's static files from the location closest to each visitor.

Enhanced Google search results that display extra information — FAQ dropdowns, breadcrumbs, pricing, star ratings — pulled from structured data.

A shared vocabulary for structured data that search engines use to understand web page content.

The definitive URL for a page, declared via <link rel='canonical'>, telling search engines which version to index when duplicates exist.

An open protocol that lets AI applications share context and tools across different language models and providers.

The practice of writing effective instructions for AI models to produce the desired output.

Platforms that reduce the amount of hand-written code needed to build applications, typically using visual builders with code escape hatches.

What You See Is What You Get — an editor where the visual output matches the final rendered result.