Workshop AI

Workshop your ideas into reality with cloud and on-device AI. Chat with AI to build websites, AI apps, dashboards, native tools and more.

Cloud + Desktop

[Workshop AI @WorkshopAI]

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!

https://t.co/KGBIflxxjK

[Workshop AI @WorkshopAI]

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!

[Logan Kilpatrick @OfficialLoganK]

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!

[Workshop AI @WorkshopAI]

Learn more about the offer and terms here:
https://t.co/kSDO6r4dT0

[Workshop AI @WorkshopAI]

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.

[Workshop AI @WorkshopAI]

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.

[Workshop AI @WorkshopAI]

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.

[Workshop AI @WorkshopAI]

@vonDehnvisuals @GeminiApp Hey! Send us a DM so we can share more info!

[Workshop AI @WorkshopAI]

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!

https://t.co/KGBIflxxjK

[Workshop AI @WorkshopAI]

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.

[Qwen @Alibaba_Qwen]

🚀 Meet Qwen3.6-27B, our latest dense, open-source model, packing flagship-level coding power!

Yes, 27B, and Qwen3.6-27B punches way above its weight. 👇

What's new:
🧠 Outstanding agentic coding — surpasses Qwen3.5-397B-A17B across all major coding benchmarks
💡 Strong reasoning across text & multimodal tasks
🔄 Supports thinking & non-thinking modes
✅ Apache 2.0 — fully open, fully yours

Smaller model. Bigger results. Community's favorite. ❤️
We can't wait to see what you build with Qwen3.6-27B! 👀

🔗👇
Blog: https://t.co/P2Zx7FwMxB
Qwen Studio: https://t.co/c4vm4LuZrU
Github: https://t.co/zKDEbv0R4U
Hugging Face:
https://t.co/N67hyzxvfr
https://t.co/SSdtbWRDap
ModelScope:
https://t.co/xODf1pj9kw
https://t.co/xXhoqlJ2AB

[Workshop AI @WorkshopAI]

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.

[Workshop AI @WorkshopAI]

@donovinsims @GeminiApp Sending you a DM!

[Workshop AI @WorkshopAI]

@perherman @GeminiApp Hey @perherman. Yes! Workshop should be able to help with that.

We have a guide on how to import your project from Lovable if you'd rather not start from scratch, but Workshop should be able to connect to whatever database you use.

https://t.co/cjSimJtRZM

[Workshop AI @WorkshopAI]

Opus 4.7 is now live in Workshop!

(Prefer to stick with Opus 4.6? No problem, it’s still available as well😉)

[Eitan Rovero-Shein @tanchoco]

"Delegate good times, come on!"

That's the song, right?

[Workshop AI @WorkshopAI]

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.

[chilang @chilang]

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 👇

[Workshop AI @WorkshopAI]

Need assets for your project? We got you.

[Eitan Rovero-Shein @tanchoco]

A real bottleneck in shipping projects is getting assets that feel polished enough to share.

@WorkshopAI can generate them as part of your building process, in the same conversation.

Here, I asked for a site for a baseball field next to the Charles River in Boston. Workshop planned the site, decided what images each section needed, wrote and ran the image generation prompts (using Nano Banana 2), and assembled the whole thing in one go.

Prompt was one line.

Also: this field would be pretty awesome.

[Workshop AI @WorkshopAI]

@JoanCasas @GeminiApp 🙌🏻. Can you shoot us a DM so we can send you more info?

[Eitan Rovero-Shein @tanchoco]

A lot of our product thinking has gone into this idea:

AI workflows get much more useful when you can mix frontier + local models, across providers and environments, in one easy to use system.

Excited to see that taking shape in Workshop.

[David Valerio Gilmore @davidvgilmore]

Most on-device AI isn't useful for running agents beyond a demo.

But the models are no longer the bottleneck. Most people just aren't using them the right way.

We've found that a simple paradigm change takes on-device models from demo to actually useful:

Oversee on-device models with a more powerful AI model.

It's an overlooked approach, because all of the major agent harnesses are optimized to keep you spending money with their cloud inference.

With yet another update to our agent harness this week, @WorkshopAI lets you use frontier and "open frontier" models for the main agent, which can itself delegate tasks to smaller, on-device models.

It eliminates >90% of the failure modes of using on-device models for agentic tasks, and it turns on-device AI usage from a demo to a legitimate tool for daily use.

[Workshop AI @WorkshopAI]

@CoachRodWhite42 @GeminiApp Sent you a DM with more info!