Witchai

ai-evaluation-framework is an open-source framework by Dreamers Inc. for benchmarking model-based solutions by accuracy, p95 latency, and estimated cost against user-defined ground-truth cases. Each task specifies fields and a scoring rule per field, including exact identifiers, normalized dates, numeric tolerances, containment, token overlap, and expected-missing values; cases can also provide alternate accepted renderings. It runs models from OpenAI, Anthropic, or an OpenAI-compatible gateway, compares results in a table, emits detailed JSON reports, and caches responses by model, task, and case so scoring rules can be changed without another model call. The repository uses document-field extraction as its worked example but accepts arbitrary text inputs such as OCR output, transcripts, and PDF text. A separate feedback server collects thumbs-up or thumbs-down responses with required comments, stores append-only JSONL data, and exposes statistics, exports, and candidate cases for human review; it does not train models. The repository includes tests using scripted mock models and is licensed under Apache-2.0.

AI Design Skills is an MIT-licensed collection of Markdown design skills for AI coding tools such as Claude Code, Cursor, Codex, Windsurf, and Cline. Its skills provide coding agents with guidance for landing-page strategy, page structure, conversion copy, typography, spacing, visual systems, border radius, and motion. Each skill is stored as a self-contained folder with a SKILL.md file that can be copied into an agent's project-rules directory, added to a system prompt, or uploaded to a Claude.ai project. The repository currently documents a landing-page-design skill that asks intake questions, builds the page structure and copy, and defines the visual system; its design values are grouped in an editable section so users can change fonts, colors, spacing, and motion. The collection can be forked and used, modified, distributed, or used in commercial work under the MIT license.

An AI-assisted design tool aimed at non-designers that generates design outputs intended to resemble the work of professional designers.

VI codebench is a coding benchmark that measures how well AI models turn natural-language prompts into full-stack web applications. It is associated with VALS, an AI evaluation company that develops continuously evolving assessments for measuring model performance before release and in practical coding workflows.

BoardUI is a React design system for agentic interfaces and dashboards, combining AI-product components such as chat, thinking indicators, streaming agent logs, task lists, web-search trails, composers, and an agent runtime with dashboard components such as tables, charts, forms, cards, navigation, authentication, and design tokens. Its CLI copies individual components and their dependencies, or the complete free catalog, into a Next.js project as source files rather than installing a runtime dependency, so developers can modify the code directly. The system uses React Aria Components for accessible controls, Tailwind CSS v4, semantic design tokens, light and dark theme classes without runtime CSS, and Figma-based typography and styling rules. The repository includes a working AI chat application with a streaming chat endpoint and an agent runtime that accepts provider keys for supported services or an OpenAI-compatible server, reads keys server-side, and streams replies to the chat UI. It also provides an MCP server for browsing and installing components, along with agent rules specifying design tokens, type scale, and conventions.