We introduce a groundbreaking multi-agent system for web automation that suggests that agent cardinality (the number of agents working in concert) could represent a new scaling dimension in AI, opening exciting directions for future research and applications. Our approach is directly inspired by the coordination and specialization strategies used by effective human teams. By translating human organizational principles into novel computational techniques, our system achieves state-of-the-art performance on the Mind2Web benchmark, significantly outperforming leading systems such as OpenAI’s Operator and Anthropic’s Computer Use.
https://getinvisible.com/articles/human-inspired-agent-design-in-web-automation
We introduce a groundbreaking multi-agent system for web automation that suggests that agent cardinality (the number of agents working in concert) could represent a new scaling dimension in AI, opening exciting directions for future research and applications. Our approach is directly inspired by the coordination and specialization strategies used by effective human teams. By translating human organizational principles into novel computational techniques, our system achieves state-of-the-art performance on the Mind2Web benchmark, significantly outperforming leading systems such as OpenAI’s Operator and Anthropic’s Computer Use. https://getinvisible.com/articles/human-inspired-agent-design-in-web-automation
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Human-Inspired Agent Design in Web Automation: From Principles to Practice - Invisible
We introduce a groundbreaking multi-agent system for web automation that suggests that agent cardinality (the number of agents working in concert) could represent a new scaling dimension in AI.
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