Zoer

Zoer is an app creation tool. An AI app builder that generates full-stack web applications (frontend, backend, database) from a written description, with a built-in assistant for iterative changes. The community gallery spans dashboards, landing pages, messaging apps and small games.

Zoer is an AI app builder that turns a plain description into a working web application. The product page frames it as a full-stack generator: the frontend, the backend and the database are all produced from the prompt, and no coding is required at any stage. A built-in AI assistant sits alongside the project so changes can be requested in conversation rather than by editing files. The model layer is advertised as current, with the homepage noting support for Opus 4.8 under a Claude label. The community gallery shows the range better than any feature list. Projects on display include a project management dashboard, an influencer marketing dashboard, a personal income and expense tracker, a Telegram-inspired real-time messaging app, a Web3 staking platform, an investment trading app, a stock control system, a child tracking system, a hotel boutique site and a complete Tetris game. There is also a steady stream of landing pages for open source repositories, SaaS products, agencies and schools. The common thread is small, self-contained products built by people who want the working version rather than a mockup. In practice the workflow is conversational. You describe what you want, Zoer drafts the app, and you iterate by asking for adjustments. The assistant is the main interface, so the quality of the result tracks how specifically you brief it. Prompt templates on the homepage hint at the intended entry points, for example asking for a dashboard with a stated purpose. Zoer sits in the same territory as other prompt-to-app tools: closer to a rapid builder than a traditional IDE. Developers get a fast first draft to take further; founders and small teams get a working prototype without hiring. Support is tied to the Claude family, so teams standardised on another model stack should look elsewhere, and anyone expecting a finished commercial product will still need to review what comes out.