A prototype for SCN Chat of generative UI Please review the code and join the discussion around lexicon shapes and other considerations https://tangled.org/sharedcomputer.network/scn-chat
Beautiful UI — Crafted primitives for AI-native interfaces
A small library of extremely crafted, copy-paste components for chat agents, thinking states, human-in-the-loop approvals, and everything agents need to talk to humans beautifully.
Introducing Open Intelligent UI | The Open-Source Alternative to ChatGPT's Intelligent UI
Announcing CSML, a new open-source language to easily build full-featured chatbots
We are building the framework to support the chatbots of the future
Beyond Chat: Bringing Models to the Canvas • Lu Wilson • GOTO 2025
Reverse-engineering Claude's generative UI - then building it for the terminal
Extracting Anthropic's design system from a conversation export and rebuilding generative UI for the terminal.
Generative UI: A rich, custom, visual interactive user experience for any prompt
Yaniv Leviathan, Google Fellow, Dani Valevski, Senior Staff Software Engineer, Vishnu Natchu, Principal Engineer, and Yossi Matias, Vice President & Head of Google Research
Awesome Generative UI - AI-Powered User Interface Generation Resources
Discover the best Generative UI resources: research papers, real-world cases, video tutorials, and open-source projects about AI-driven dynamic interface generation. Explore how LLMs like Gemini, Claude, and GPT are revolutionizing UI/UX design.
(PDF) Hyperchat and Hypervideo: Enabling Real-time Groupwise Conversations at Unlimited Scale
PDF | This paper explores a novel Generative AI based communication technology called Conversational Swarm Intelligence (CSI) or simply Hyperchat AI. It... | Find, read and cite all the research you need on ResearchGate
How to... use ChatGPT to boost your writing
The key to using generative AI successfully is prompt-crafting
make ai speak computer by dottxt @ Nouscon 2024
lastnpcalex/a-shadow-loom
Self-hosted web interface for branching AI conversations across Claude Code, ChatGPT Codex, Antigravity (agy), Goose ACP, and local llama.cpp models — with mid-conversation handoffs. Every conversation is a tree: branch, fork, regenerate, and search across every path without losing anything.
Macaron-A2UI: A Model for Generative UI in Personal Agents
As personal agents evolve to handle complex, user-centric tasks, static plain-text chat is rapidly becoming a bottleneck. Generative UI emerges as the necessary new interface layer, dynamically synthesizing the right controls, options, and state from the interaction context in real time. We present Macaron-A2UI, a model for Generative UI in personal agents. Our goal is to move beyond text-only interaction by enabling agents to generate natural language together with lightweight, executable UI actions for information collection, preference refinement, confirmation, and multi-goal organization. We build a large-scale Generative UI corpus from heterogeneous dialogue sources, introduce A2UI-Bench for controlled evaluation, and train 30B, 235B and 754B models with parameter-efficient LoRA-based supervised fine-tuning followed by reward-driven reinforcement learning. The best Macaron-A2UI model reaches 75.6 overall on A2UI-Bench without explicit schema hints, surpassing the strongest full-schema frontier baseline. We release the models, benchmark, and evaluation protocol to support future work on Generative UI for personal agents.
erik on Twitter / X
cursor now has design mode (⇧+⌘+D)- click to edit, drag to draw- shift + drag to box things in- add directly to chat with ⌥+click pic.twitter.com/nh7RXNV9LU— erik (@flowstated) April 2, 2026
