For the first time, you can vibe-code any AI agent. Meet — Computer Human AI by Langbase ☕ 🔹Prompt: "make an agent that…" 🔹Sip: chai builds any AI agent 🔹Ship: every agent gets a UI 🤯 Like your on-demand AI Engineer. What will you s(h)ip today?

Watch me vibe code several AI agents in this video - An AI agent to chat with pdf - Agent that finds a lunch spot near me - Bed time story maker agent by DT - AI email agent that can summarize, analyze, and generate a response Chai is beta right now, oh it's super powerful.

Vibe coded a Receipt OCR Agent Give this agent a receipt image and it can analyze whatever you want in it. Woohoo! 🥳🥳🥳

Chai vibe coded a mini Perplexity for me 🤯 Unbelievably good. Can't wait to see what y'all will build. Our beta testers had multiple 🤯🤯🤯 moments. Let's go! 👊

Chai is built on AI primitives by Langbase: • Agents - for reasoning and planning • Tools - for taking actions in the world • Memory - for human-like context & learning • Workflows - for orchestrating complex tasks All with type safety and production reliability.

1. Why are we doing this? Everyone is building an AI agent today, but it's hard. Cursor, perplexity, v0, chai, lovable, bolt — what do they all have in common? They weren’t built on AI frameworks—they're built using primitives optimized for speed, scale, and flexibility.

With Chai, what used to take days/weeks — now only takes minutes. From idea → agent → deployed!! We wanted to make it super easy for everyone to building their AI agents. People spend weeks wiring together LLMs, tools, and memory systems just to get something basic working.

Chai removes all the complexity of: • LLM orchestration (unified API) • Tool integration (deployment and scale) • Memory (long term memory Auto RAG) • Deploy agents, and scale to millions • Langbase processes 100M+/mo agent runs

2. What problem are we solving? Every company is trying to build AI agents, but the infrastructure is missing. Takes too long. It's too expensive. Hire MLEs? Teams are reinventing the wheel, building brittle systems that break in production + can't scale with their needs.

The result? Most AI agent projects never make it to production. Those that do require constant maintenance and lack the reliability users expect. (new LLMs every week) AI agents should be composable, reliable, and production-ready from day one. (minute one?)

3. Why now? The foundation models are ready. The tools are maturing. But the glue that connects everything is still missing. LLMs are evolving fast—like, literally every week. New standards pop up (looking at you, MCP), and APIs change faster than you can keep track.

We've seen how products like GitHub, Vercel and Supabase have changed how we build apps. Now, we're doing the same for AI. Making it accessible to every builder, every developer, not just ML experts.

From today, anyone on your team can vibe code an AI agent with Chai. And every agent comes with a UI. Personal apps 🤝 personal agents at scale!! Start today at @chaidotnew ↳

Stop wasting time following up with leads. Let our AI agents do it for you.