Spine AI has launched Spine Swarm, a multi-agent system that operates on an infinite visual canvas to tackle complex non-coding projects. The platform allows specialized AI agents to collaborate on tasks like competitive analysis, financial modeling, SEO audits, and pitch deck creation by breaking work into modular blocks that can be connected and composed in various ways.

Unlike traditional chat interfaces, Spine Swarm provides a structured workspace where each block represents a specific AI operation - from LLM calls to image generation to spreadsheet creation. The system is model-agnostic, enabling agents to select the optimal AI model for each task and run multiple analyses in parallel before synthesizing results. This approach addresses the limitations of linear chat threads where context gets lost and workflows cannot be easily modified or branched.

The platform demonstrates strong performance on benchmarks like Google DeepMind's DeepSearchQA, achieving 87.6% accuracy without human intervention. Early users report success with tasks ranging from website SEO analysis to fundraising pitch decks with financial models. Spine Swarm offers a free tier with usage-based pricing tied to block usage and underlying model costs, positioning itself as a visual alternative to chat-based AI workflows for complex, multi-step projects.