Shapeshift is a Next.js + React 19 component that turns a single text input into context-aware UI cards. As you type, the box morphs into event cards, checklists, timers, color pickers, bill splitters, converters, polls, and more based on detected intent. Intent classification is powered by TypeSafe Jev, which answers 14 typed questions in a single parallel call, while all value extraction (dates, amounts, units, math) is handled by deterministic code. The project works fully offline by default using a built-in keyword classifier and can optionally use the online Jev model with an API key.
- One Jev call answers 14 typed questions in parallel (speculative fan-out), covering card type plus signals like "is it a video call?" and "is it urgent?"
- A state machine with hysteresis prevents flickering: a card only changes when a challenger wins twice in a row or is very confident
- 19 card types supported, including trip planner, time zone converter, dice roller, countdown, and goal tracker
- Built with TypeScript (strict), Tailwind CSS v4, shadcn/ui, Motion, chrono-node, and zod
- Live demo at shapeshiftui.vercel.app
- One Jev call answers 14 typed questions in parallel (speculative fan-out), covering card type plus signals like "is it a video call?" and "is it urgent?"
- A state machine with hysteresis prevents flickering: a card only changes when a challenger wins twice in a row or is very confident
- 19 card types supported, including trip planner, time zone converter, dice roller, countdown, and goal tracker
- Built with TypeScript (strict), Tailwind CSS v4, shadcn/ui, Motion, chrono-node, and zod
- Live demo at shapeshiftui.vercel.app
In this essay, the author reflects on the three-month journey of building syntaqlite, a high-fidelity developer toolset for SQLite, using AI coding agents. After eight years of wanting better SQLite tools, the author utilized AI to overcome procrastination and accelerate implementation, even managing complex tasks like parser extraction and documentation. However, the experience also revealed significant pitfalls, including the "vibe-coding" trap, a loss of mental connection to the codebase, and the tendency to defer critical architectural decisions. Ultimately, the author concludes that while AI is an incredible force multiplier for writing code, it remains a dangerous substitute for high-level software design and architectural thinking.
>"Several times during the project, I lost my mental model of the codebase31. Not the overall architecture or how things fitted together. But the day-to-day details of what lived where, which functions called which, the small decisions that accumulate into a working system. When that happened, surprising issues would appear and I’d find myself at a total loss to understand what was going wrong. I hated that feeling."
>"Several times during the project, I lost my mental model of the codebase31. Not the overall architecture or how things fitted together. But the day-to-day details of what lived where, which functions called which, the small decisions that accumulate into a working system. When that happened, surprising issues would appear and I’d find myself at a total loss to understand what was going wrong. I hated that feeling."
>It is a 15KB, zero-dependency TypeScript library that allows for multiline text measurement and layout entirely in "userland," bypassing the DOM and its performance bottlenecks.
>Pretext turns text blocks on the web into fully dynamic, interactive and responsive spaces, able to adapt and smoothly move around any other object on a webpage, preserving letter order and spaces between words and lines, even when a user clicks and drags other objects to intersect with the text, or resizes their browser window dramatically.
>Pretext turns text blocks on the web into fully dynamic, interactive and responsive spaces, able to adapt and smoothly move around any other object on a webpage, preserving letter order and spaces between words and lines, even when a user clicks and drags other objects to intersect with the text, or resizes their browser window dramatically.
Infinite Monitor is an AI-powered dashboard builder that allows users to describe the widget they want in plain English, and an AI agent will write, build, and deploy it in real time. Each widget is a full React app running in an isolated iframe, offering flexibility and customization. Users can drag, resize, and organize these widgets on an infinite canvas for various applications like cybersecurity, OSINT, trading, and prediction markets.
The project supports multiple AI providers and offers features like dashboard awareness, live web search, and a widget marketplace. It prioritizes security with local-first storage and threat scanning.
The project supports multiple AI providers and offers features like dashboard awareness, live web search, and a widget marketplace. It prioritizes security with local-first storage and threat scanning.
Zach Lloyd argues that we are moving beyond traditional apps towards “meta-apps” – AI-powered tools like Claude Code and Warp that directly fulfill user intent rather than requiring users to learn and adapt to specific applications. These meta-apps will access all of a user’s data, anticipate needs, and dynamically create tailored solutions, effectively eliminating the need for most standalone apps. He predicts a shift in software development, emphasizing data accessibility and agent-based systems over frontend development, and believes companies like Apple are uniquely positioned to lead this transition. Ultimately, Lloyd envisions a future where everyone can be a “digital god,” effortlessly creating software through simple interaction with these meta-apps.
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This document provides 68 samples of some of the intelligent textbooks that have been created with our workflows. This list is changing every day, so please check back frequently.
Boxy is a Boxer-inspired box editor that provides various functionalities for managing and manipulating boxes. It supports key bindings, modules, and allows running in a browser. The editor includes features such as mouse and keyboard interactions, saving and restoring boxes, markdown visualization, and LLM inference.
Researchers at the University of Colorado Boulder have developed an AI tool that transforms static textbook diagrams into interactive 3D simulations.
Boxy is a box editor inspired by Boxer, with key bindings and features for managing boxes and editing text.
Boxer Demo
