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Introducing Alvea! An adaptive AI assistant creating unique user interfaces personalized to your tasks just in time. Your evolving tool, designed to enhance productivity and user experience 🚀 Won 🥇 AGI House w/ Nathan Black Shawn Simister Gen
62,113 views • 2 years ago •via X (Twitter)
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Existing AI chat apps boost productivity yet fall short in delivering optimal experiences due to their reliance on text chat UIs Alvea's solution is integrating AI to develop dynamically rendering user interfaces that are interactive and tailored to the user's current task

🎨 @vhurgenes is shaping the future of user interaction, refining our vision in Alvea's Figma designs. Unveiling soon!

❤️ Big thank you to the sponsors of the hackathon! ◆ @agihouse_org for hosting ◆ @coframe_ai @joshpxyne for a cutting-edge inspirational example of just-in-time generative UIs ◆ @Replit @amasad for thought provoking review of generative UI history:

🙇♂️ Inspired by ChatGPT and @perplexity_ai Copilot 🤖Tech Stack: ◆ @OpenAI for GPT-4 ◆ @vercel for Next.js, AI SDK, Analytics, Deployments ◆ @tailwindcss for styling ◆ @threejs & @pmndrs @0xca0a for #r3f enabling AI to code a 3D scene!

@agihouse_org @sockcymbal @narphorium @vhurgenes Super cool man! Great job, especially the 3D scene

@jesuslares_me @agihouse_org @sockcymbal @narphorium @vhurgenes Thanks! I was really glad we got enough of the 3D scene generation working to showcase for the hackathon. It still blew my mind when we were able to easily copy-&-paste the LLM generated code to see the visualization 🤯 The worst it will ever be! 🚀

@agihouse_org @sockcymbal @narphorium @vhurgenes Epic!! Congrats on the win!!!

@agihouse_org @sockcymbal @narphorium @vhurgenes Thanks, Josh! One of the highlights of my week trip to SF was our winning team breakfast with you after, talking about AI and SDUIs 😃 Made a great day even greater!

@agihouse_org @sockcymbal @narphorium @vhurgenes This is sick I wasn't ready for the 3d. Thats super cool

@agihouse_org @sockcymbal @narphorium @vhurgenes Thanks! Glad you’re as impressed as I was. I was really hoping this use case would work, yet it still blew my mind when we were able to easily copy-&-paste the LLM generated code to see the visualization 🤯 The worst it will ever be 🚀

