What is an AI Workspace?

An AI workspace is a single environment where conversational AI, app building, deep research, and image and video generation live together with shared project memory. Instead of bouncing between a chatbot, a code generator, a research tool, and a media app, everything happens in one place — and everything stays linked.

In plain English

Think of an AI workspace as one big desk where every AI you work with shares the same pile of notes. Chat, build, research, and media all happen in the same room, and the agent remembers what it did in each corner of it. That means you stop being the copy-paste bridge between tools — which, let's be honest, was a job nobody applied for.

A chatbot is a great friend to talk to. An AI workspace is the friend who also does the dishes.

Why "workspace" instead of "chatbot"

A chatbot gives you words. A workspace gives you artifacts. When you ask Orbit to build an app, it actually creates files in a cloud sandbox, runs a dev server, and hands you a live preview URL you can open. When you ask it to research a topic, you get a report, source links, and coverage tracking — not just a paragraph.

That difference matters because real work produces things you can keep, edit, and share. Orbit treats every conversation as a project with durable state, so your next prompt can build on everything before it.

What lives inside an AI workspace

• Chat with an agent that routes your prompt to the right tools automatically.
• App building on a real stack — Vite + React + TypeScript + Tailwind — with Supabase for backend data, all inside a 1-hour cloud sandbox.
• Deep research that runs 8–14 rounds across 65+ sources before writing a report.
• Image and video generation routed across 150+ models, with chained edits and durable file storage.

The key is that these modes share context. Research you run in the morning can inform the app you build in the afternoon without you copying and pasting anything.

The problem with separate tools

Juggling five AI tools creates five separate memories. Your chatbot doesn't know what your code generator produced. Your research tool doesn't know what your build needs. You end up doing the integration work yourself — manually feeding output from one tool into the next.

That context-switching costs time and it leaks detail. Every hand-off is a place where nuance gets lost. An AI workspace collapses those boundaries so the agent holds the full picture.

How shared project memory works

When Orbit runs deep research, the findings land in the project. When it builds an app, the source files and preview are stored with the project. When you generate media, the assets persist under stable URLs rather than expiring provider links.

Your chat history remembers media and tool steps too, so a follow-up like "make it red" or "do the same research on both images" resolves against what actually happened earlier — not an empty context window.

Real workloads, real limits

This isn't a toy. Orbit enforces honest guardrails so a runaway loop can't burn your credits: chat turns allow up to 25 tool calls, builds allow up to 220, and every turn has a 10-minute timeout. Sandboxes run for up to 1 hour, and backend apps get schema-isolated Supabase so one project's data never bleeds into another's.

Those limits are the difference between a demo and a tool you can trust with real work.

What you should look for

• Durable artifacts — files and URLs that survive a page refresh.
• Shared context — modes that can see what other modes did.
• Real execution — actual sandboxes and live previews, not simulated output.
• Honest limits — clear timeouts and tool ceilings instead of silent failures.

Try it and compare

Don't take our word for it. Ask your favorite chatbot to plan a small dashboard, then ask Orbit to build it. Count the round-trips: how many times did you have to repeat yourself, paste results, or explain context the tool had already forgotten? Then compare who hands you something you'd actually open on Monday morning.

FAQ

Q: What is an AI workspace? A: An AI workspace is a single environment that combines conversational AI, app building, research, and media generation with shared project state.

Q: Why use an AI workspace instead of separate tools? A: It removes context-switching: your research feeds your builds, your chat remembers your project, and every artifact stays linked.

Q: What can you actually do inside an AI workspace? A: Chat with AI, build and preview real apps, run multi-round deep research, and generate images and video — all inside one project that keeps a shared memory.

Q: How is an AI workspace different from a chatbot? A: A chatbot only talks. An AI workspace executes: it writes files to a live cloud sandbox, runs code, deploys previews, and stores durable artifacts you can revisit later.

Build it on Orbit

Orbit by Forion is an AI workspace that combines chat, app building, deep research, and media generation with shared project memory across 150+ models. Stop stitching tools together — Start building on Orbit.