Chat is great for Q&A, but real work isn’t linear. Spine Canvas is an unlimited visual workspace for AI that lets you orchestrate 300+ models with a single subscription. Think in blocks (Chat, Deep Research, Apps, Memo, Image, Slides), branch safely, run in parallel, and keep explicit context across everything — all in one collaborative canvas.
Loving the whole canvas approach! One feature that would take it to the next level: Block-Level Version Control - a mini Git-style history for each block so we can revert specific prompts or research paths without undoing the entire canvas. Would be a game-changer for complex workflows
Great project! In this field, everything changes so fast that regular users can’t keep up with updates. It would be great if you could recommend the best AI model for a specific task. For example, recently I needed to make screenshots for an article in the same style our designer used before. I’ve heard there are specialized design AIs, but I’ve never used them. Which AI would do this task best today? A service that could answer this and allow me to complete any task in one place would be very helpful.
Just an idea, maybe it will be useful for you)
Hey @Spine ! Visual collaboration across 300+ AI models is ambitious.
How does the interface help users choose between similar models? Like if I need an image generator, how does Spine Canvas surface the best option for my specific use case?
Looks promising!
This is so cool - currently wrenching on recruitment operations automations in Spine and love what I'm seeing here.
The ability to intuitively build complex automations and share them across a team means this just enabled every team member to MVI solves for our process pain points.
Very excited to see how the product evolves!
I’ve been loving using the Canvas capability the last few weeks. Find it a great way to manage my long running creative and thinking projects.
Impressive that you offer over 300+ models .... How stable is Spine if many tasks are happening at same time?
Love this! Chat interfaces lose context so fast when switching between models.
For workflows like research → writing → images, do you keep it all in one canvas or split into multiple?
Congratulations on the launch! It's a very smart product, and I see it being very useful.
Big fan of the block-based approach. Makes real workflows way easier to manage. Congrats on the launch!
Hi, congrats on the launch! I love to interact with LLM in canvas. However, there are some problems in such canvas: 1. frontend performance: the webpage stucks when there are so many elements in the canvas. 2. learning curve: canvas need more interaction than chat, which is more complex. It need some time for a beginner to be familiar with UI. I am curious how you solve these. Could you share your thoughts?
As a former researcher, I’ve loved the control and transparency the cavas gives me over the sources I want to use.
But I find myself using it the most for learning new skills. One of my favorite tricks: using chat to find relevant YouTube tutorials for a new subject, adding the most popular ones to the canvas, and chatting with them to figure out which is the most useful for what I’m focused on. Fantastic for avoiding long tutorials that aren’t actually that relevant.
Can’t wait to see more of what the community comes up with.
🚀 We’re excited to launch Spine Canvas!
Spine AI is an infinite thinking and creation canvas powered by 300+ AI models. Every model becomes a block — chat, text, lists, deep research, image generation, slide generation, app generation across models like Gemini 3, and more. You can pass context between blocks, branch ideas, and run them in parallel.
Instead of juggling Google Docs, Notion, tabs of different LLMs, and scattered design tools, you get one workspace where thinking → exploration → creation happens seamlessly.
Also here are some power user shortcuts and tips:
Copy paste public ChatGPT, Gemini or Grok links into the canvas and watch the ✨
Double click anywhere on the canvas to add a new block
Drag and drop files anywhere directly onto the canvas
As an engineer, I mostly use Spine Canvas just as a regular user who often doesn’t know the exact steps to start with.
For open-ended tasks—writing blogs, brainstorming engineering problems, exploring the best trading algos, or even doing fun stuff like making a comic-style breakdown of the upcoming Marvel movie Doomsday— Spine Canvas has become my default place to think. Instead of bouncing between tabs and search results, I just drop everything onto a canvas and let it pull in what I need, so I can work through it all in one place. It makes research-heavy work feel a lot less tiring and a lot more structured.
What I love most is how context works here. Because it’s a canvas and not just a linear chat, I can throw in notes, links, docs, ideas—whatever—and different blocks can share and reuse that context. I don’t have to worry about the AI forgetting what we were doing; the canvas itself is the memory.
On top of that, from the same space I can generate high-quality images, spin up presentations, or even build some great apps on the go. As someone helping build it, it’s been really fun to see how much it already improves my own workflow, and I’m genuinely excited to see where we take Spine Canvas next.
As an engineer on the team, what excites me most about Spine Canvas is how well it supports real technical workflows. Architecture work is never linear you’re evaluating patterns, exploring alternative system designs, comparing models, and keeping multiple layers of context (requirements, constraints, docs, traces) aligned.
Canvas finally gives me a visual workspace to map architectures, branch into different implementation paths, test reasoning across models, and link research, specs, and diagrams together. Being able to run parallel flows and re-use context across blocks has genuinely improved how I design and iterate on systems.
Can’t wait to see how other engineers use it for architecture, research, and multi-model workflows. 🚀
As a digital marketer, I'm always adapting to content needs. New products, new features, new messaging. Spine Canvas is my cheat code. I can run 10 versions of a campaign in parallel via one new prompt, pass context between branches, and quickly have context ready content for platforms like LinkedIn and X. It removes 90% of the copy-pasting and context-reset pain with ChatGPT. Thank you Spine :)
Loving the whole canvas approach! One feature that would take it to the next level: Block-Level Version Control - a mini Git-style history for each block so we can revert specific prompts or research paths without undoing the entire canvas. Would be a game-changer for complex workflows