The fastest way to build AI chat interfaces
Production-ready chat interfaces built on the Vercel AI SDK. Streaming, errors, loading states - the hard parts are done.
Clone β Add your modelβs API key β Deploy
AI Chat as a Widget
Free
A floating AI chat that opens on icon click: smooth responses, loading, feedback, and error handling.
The same structure used in Notion, Chronicle, and Intercom.
Get code hereππ» See it in action. Helpful? β us on Github!
More advanced AI chat interfaces coming soon! Stay tuned.
and your app comes alive with AI β¨
One command. Takes a few minutes.
Drop it in .env.local and you're configured.
Run locally, test, and push to Vercel. Live in under a minute.
We've felt this pain building AI products. So we solved it once, properly.
Streaming takes 2-3 days to get right
Chunk by Chunk message streaming like ChatGPT
Loading states cause layout shifts (1 day)
Loading state with smooth transitions to messages.
Error handling leaves users confused (1-2 days)
Graceful error handling for all edge cases.
Auto-scroll logic frustrates users (half day)
Auto-scroll that stays put when users scrolled up.
Formatting content breaks (1 day)
Markdown, code, and long text render cleanly every time.
You pay for AI usage even while building and testing
You only pay when real users use it.
Total: ~1 week + API token costs for development β fewer than 30 minutes + No API token costs for development
Save weeks of dev time, spend less on AI token costs, and avoid hard-to-catch production bugs.
Building an AI product? This gives you a solid AI chat foundation, so you can
focus your time and budget on what sets your product apart.
For solo developers:
Skip the learning curve + API token costs. Get production patterns from day one. Ship faster.
For early-stage startups:
Stop burning runway on solved problems. Use what works, build what's unique.
For dev teams:
One developer, one afternoon. Then everyone builds on solid ground.
Built by developer, for developers. Open source, MIT licensed, and free forever.
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