Joined August 2009
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Very excited to launch @WorkshopAI. The idea is to make it much easier to build useful things with AI. Connectors to your data, built-in AI without API headaches, and one-click publishing, including private apps. You can do that in the cloud or on your desktop, with local models that are free, private, and offline β€” and we even help you pick the right one for your hardware. Try it out today and let me know what you think!
Introducing Workshop: cloud on-device agentic AI. And to celebrate, we're giving away $250k in @GeminiApp AI credits. (details below). The future of AI work is neither cloud-based nor local. It's both. In Workshop Cloud, you can use agents powered by frontier models like @claudeai and/or open source models like @Zai_org's GLM-5 to build internal tools, dashboards, and AI web apps. Or, breeze through tasks like managing your Google and Meta Ads. In Workshop Desktop, you can do all the same right on your computer, plus make desktop apps, mobile apps, and 3D creations. Our favorite part? You can power the full agent experience with local models like Qwen 3.5 family on your computer. Fully offline. 2026 is the year in which local models for agentic tasks will become viable for mainstream use. But the setup for tools like OpenClaw is like setting up Linux from scratch on your computer. Workshop Desktop is one-click to install on Windows, Mac, and Linux. It recommends which open source model you should use for your hardware and lets you download and run it right in the app. And its agent harness allows you to chat, create websites, build personal utilities, and analyze data. 100% offline. Or multitask with AI models in the cloud while running other agent threads locally. Start in Workshop Cloud when you want flexibility and speed. Download your project and continue in Workshop Desktop when you want local files, privacy, and/or better performance on large code bases. Publish from either. The agent tooling space is maturing and discerning users have come to expect a lot from their tools. We've packed Workshop with features to help you 10x your productivity. - Native support for skills - Autocompaction for seamless context management - Built-in AI for your apps - Dozens of connectors, like Google Drive, Big Query, and Supabase - dbt integration to ground your dashboards in your semantic layer - Native Github integration - Private app deployment - ... and more ( we're shipping super fast) To access the free credit offer, RT this post and reply with "Workshop". Make sure you are following us so we can DM you the instructions to redeem. - First 100 to RT comment get $500 in credits. - Everyone else gets up to $250 And thanks to our partners @modal, @GeminiApp, and @Zai_org! workshop.ai
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A cappella Mexican national anthem goes extremely hard πŸ‡²πŸ‡½ Let the World Cup begin 🍿

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.@Benioff makes the pitch for @RaylineAI flawlessly. Every part is there ... - intelligent model routing, - routing across cloud and on-device, - the immediate focus on coding but the broader need beyond ... Added some callouts for clarity :)
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Introducing Rayline: a model router built specifically for Claude Code. Claude Code's API rates are 8-10x its subscription rates. Most of those tokens are going to easy subtasks. Plug in Rayline, and subagents get routed to open source and on-device models instead of burning Opus-level spend on grunt work. Quality holds. Costs drop 60-90%. What makes Rayline different: - Routes at the subagent/subtask level - On-device routing via MLX (Qwen 3.6 and others) - Built-in ML router trained for Claude Code tasks - Cloud fallback when Anthropic has outages - Works with OpenAI models inside Claude Code You keep using Claude Code exactly as you do today. Rayline handles the routing underneath. We're already routing billions of tokens per day for individual developers and publicly traded companies. Public beta is live now. Try it at Rayline[.]ai
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Claude Code's API rates are 8-10x more expensive than its subscription rates. Most of those tokens are wasted spend. We built @RaylineAI to fix that. Rayline is a model router built specifically for Claude Code. You plug it in, and subagents get routed to open source and on-device models. Use Opus as your main agent overseeing grunt work delegated to open models. Quality holds. Costs drop 60-90%. The key insight: model routing belongs at the API layer, not the harness layer. Harnesses are converging. LLMs are becoming interchangeable. The control point is the gateway, and that's where enterprises need to manage spend without forcing teams to adopt new tools. What makes Rayline different from other routers: - Built specifically for Claude Code - Routes at the subagent/subtask level - On-device routing via MLX (Qwen 3.6 and others) - Built-in ML router trained for Claude Code tasks We've been thinking about this problem for a long time. We built model routing into @WorkshopAI months ago. Others launched similar things last week. Rayline is the first of its kind: a router built from the ground up for the coding agents you already use. We're already routing billions of tokens per day for individuals and publicly traded companies. Try it at Rayline[.]ai (p.s. Codex is next!)
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Gemini 3.5 Flash is now in Workshop. Free for every paid plan today only! Unmetered until 11:59 PM UTC ⏳ Go build something amazing!
Welcome to Gemini 3.5 Flash, our most powerful model to date. It pushes the frontier of intelligence, speed, and cost putting 3.5 Flash in a class of its own. We spent the last 6 months making sure Flash is great for real world use cases. It's available everywhere now!
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Great week to try the Max plan in Workshop!
Gemini is free on Workshop for Max subscribers from May 12–20! Use Gemini for apps, workflows, internal tools, dashboards, agents, image tools, and more. Available for both existing and new Max subs.
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Want to win an election? Change your name. Live data from London's #electiontresult2026 shows candidates higher in the ballot get more votes than their party colleagues in the same ward 72% of the time. 17 candidates so far that missed out on a seat: ballot-order.workshop.build
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Bullpen trust list when @Jared_Carrabis?
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whois.workshop.build πŸ‘€ πŸ€“
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Prompt-to-app is table stakes. The hard part is what comes next: backend, data, APIs, auth, services, jobs, infrastructure. Workshop is for building real software.
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Want to build with AI for free? With local models in Workshop, you can build websites, dashboards, internal tools, workflows, prototypes, and more. That means: - Zero API costs - Offline access - Full privacy Try local models today in Workshop Desktop.
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You don’t have to use one model (or one provider!) for everything. With Workshop, you can combine frontier and local models in the same workflow. For example: Opus can be the main agent, and delegate specific tasks to Gemma 4 via subagents. Better quality where it matters. Better privacy, speed, and cost where it counts. One workflow, best model for each task.
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Yoshida!
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Opus 4.7 is available now. Given some of the early reactions we also decided to keep Opus 4.6 available. Happy building!
Opus 4.7 is now live in Workshop! (Prefer to stick with Opus 4.6? No problem, it’s still available as wellπŸ˜‰)
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Pretty nice!
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"Delegate good times, come on!" That's the song, right?
Not every AI model is best at everything. Some are better at code, others at reasoning, design, or review. Some are fast. Some are cheap. Each one a fit for a different task. So why limit yourself to just one? Or even one family of models? Workshop's new multi-provider subagents let you delegate different parts of a task to different models. A sub-task requires deep reasoning? Use a frontier model. A sub-task is simple? Use a fast, cheap model A sub-task needs access to sensitive or private data? Delegate to a local model. Try them out today in both Workshop Cloud and Workshop Desktop.
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Cool idea @MaziyarPanahi @googlegemma Here is a demo you can play with Gemma 4 Sam 3.1 running all on a Mac via MLX Build with @WorkshopAI Repo πŸ‘‡
Gemma 4 looks at a parking lot. Decides what to ask. Calls SAM 3.1. "Segment all vehicles." 64 found. "Now just the white ones." 23 found. One model reasoning and orchestrating. One model executing. Both running locally on a MacBook. MLX. No cloud. No API.
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