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The next "v3.7" will include `c. steam()` feature. AI ready. This demo is built with: * ChatGPT / `openai` package * Sonik - Hono base meta-framework * `c. stream()` * React * Cloudflare Pages

13,035 просмотров • 3 лет назад •via X (Twitter)

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On August 11, SpaceXAI shipped Grok Bot. Grok Bot was built to stay on, gets its own computer, works inside apps and tools like you do, and keep working 24/7 even when your laptop is off. And a lot of AI agents existed before this, including OpenAI’s earlier agent products, but most of them worked more like where you give it a job, let it finish, and then it stops. Grok Bot pushed the idea of having an AI worker that is always there, always running, and organized more like a team. You can have a chief of staff at the top, different specialists handling different jobs, and now the same bot can even be shared across a team. Then on September 8, Meta launched Muse, 28 days later. Meta called it “The World’s First Personal AI Agent Built for Everyone.” Muse also gets its own computer in the cloud. It can work across apps, keep going after you close it, and ask before doing things like sending emails or spending money. Zuck made it a huge part of Meta Connect and talked about bringing this kind of agent to billions of people. Then yesterday, 49 days after Grok Bot launched, Sam introduced dots. OpenAI describes them as always-on agents with their own cloud computers that can work on your goals 24/7 and connect across thousands of apps. A full team of dots is part of the bigger vision too. So when I see people framing this as OpenAI vs. Meta, a huge part of the story is missing… Grok Bot shipped first. The shift toward always-on AI workers with their own computers is clearly where the industry is going now and Grok Bot kicked off the next big AI product category… it’s one of the hottest products in AI. But don’t get it twisted, everyone is copying Elon right now.

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Claude Code + Google Stitch 2.0 is f*cking cracked 🤯 Google just dropped a free AI design agent that solves Claude Code's biggest weakness: frontend design. One screenshot of a high-converting landing page → a production-ready site for your brand in minutes. All inside Google Stitch + Claude Code. Perfect for DTC brands and agencies who are building advertorial pages and product launch pages for Meta but burning days on designer back-and-forth. If you're running Meta ads and need 5-10 different landing pages testing different hooks, angles, and offers — each one targeting a different audience and pain point — you know the bottleneck isn't the ads. It's the pages. Briefing designers, waiting for revisions, paying $2-5K per page. Stitch eliminates the design bottleneck: → Find a high-converting advertorial that's scaling on Meta → Screenshot it and drop it into Stitch (powered by Gemini 3.1) → Stitch redesigns it with your brand's colors, fonts, and imagery using Nano Banana 2 → Edit sections visually — headlines, CTAs, layouts — without touching code → Export the code and paste it into Claude Code → Claude builds the full production site and deploys to Vercel or Netlify in 60 seconds No designer. No $3K per landing page. No Claude Code frontend that looks like a template from 2019. What you get: → Designer-quality landing pages and advertorials built in minutes, not weeks → Visual editing so you actually see the design before you code it → Nano Banana 2 generating on-brand product imagery and hero shots → A repeatable system — new angle, new page, same pipeline Built 100% with Google Stitch 2.0 + Claude Code. I put together a full playbook showing the exact workflow: how to find winning pages, redesign them in Stitch, and deploy with Claude Code. Want it for free? > Like this post > Comment "STITCH" And I'll send it over (must be following so I can DM)

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