Spine Swarm - Manage a team of AI agents that do real work
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With Spine, you can manage and deploy swarms of AI agents that complete complex tasks from start to finish. Agents browse the web, conduct deep research, build 50-page strategy documents, generate detailed presentations, create interactive prototypes, and more — all with one prompt. The result: Auditable work on a visual canvas that’s far more thorough, accurate, and complete than what you get from ChatGPT, Gemini, or Claude.
Replies
AutonomyAI
Love it! Can't wait to try this out on marketing ops.
Supported and shared on our channels. :) Best of luck!
Spine
@lev_kerzhner Thank you! Appreciate your support.
Told
Curious how the swarm coordination actually works when agents hit conflicting conclusions mid-task — like if one agent's research contradicts another's during a 50-page strategy doc. That's where these multi-agent setups tend to fall apart in my experience. The visual canvas angle is smart though, auditability is genuinely the missing piece in most AI workflows right now. Most people don't trust the output because they can't see how it got there.
Spine
@jscanzi Typically the agents present both sides or look for additional information in scenarios of conflict. In my experience cases the resolution depends on the sources that the conflicts were derived from.
We make sure our agents cite all their sources in all the work so both agents and users can audit and decide how they want to resolve these scenarios.
Told
@ashwin_raman Thanks for your reply!
Spine
I've watched people use this for the first time and the moment it clicks is always the same, they don't just prompt and wait as AI goes behind a black box to stitch up an answer, but prompt and watch as their specialised AI workforce comes together in parallel to deliver real work, live.
Couldn't be prouder of what this team built. Go try it!
Interesting system design here.
From the description it feels like Spine behaves closer to an orchestration layer coordinating swarms of agents rather than just a typical AI workspace.
Curious how the team internally thinks about that distinction.
Huddle01 Cloud
This is pretty good!
I’m really excited about Spine and had the chance to test out Spine Swarm during a recent product team offsite. We were exploring ways to quickly prototype ideas and initially planned to spin up an OpenAI project and iterate on prompts to feed into Figma Make. Instead, we leveraged Spine and it streamlined the entire workflow. Having all the context in one place meant we could move faster and spend our time actually building prototypes instead of stitching tools together.
Looks dope guys. What are cases you think this would outperform (either in accuracy, cost, latency, etc.) something like Claude Code subagents or agent teams?
Hey my name is Ramadan,
I came across Spine and the idea of coordinating AI agents to handle complex tasks is really interesting.
While exploring the site, I noticed the experience takes users straight to login without first explaining the product or showing how the workflow actually works. For a tool this powerful, that might make it harder for new users to quickly understand the value.
I’m a UI/UX designer focused on designing experiences for users. It's products like this that small UX changes can help users grasp the product faster.
If you're open, I’d be happy to share a few quick ideas that could improve how new users understand and engage with the platform.
Interesting concept. The idea of multiple specialized agents working in parallel instead of one model handling everything sounds powerful. I like that the result is a finished deliverable rather than just a chat response. How does Spine decide which of the 300+ models to use for each step of the task?
Curious how Spine handles credential scoping across agents when each agent needs its own set of API keys or OAuth tokens, do you isolate those at the agent level or pool them at the workspace level? That architecture choice tends to cascade into a lot of downstream access control decisions.