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Description

Perplexity Computer is a super agent platform that autonomously executes complex projects based on simple user instructions. Instead of requiring step-by-step prompting, users describe their desired end product, and the system decomposes the task into coordinated workflows handled by multiple AI models. It supports website creation, in-depth research reports, structured datasets, and multimedia production within one unified interface. The system intelligently routes tasks to the most appropriate models for research, visual generation, video production, or rapid search. Built for long-running execution, it can manage multi-stage assignments independently for extended periods. By removing the need to manually select or switch between AI tools, it simplifies sophisticated workflows into a seamless experience. The platform emphasizes outcome delivery rather than model management. Its orchestration layer ensures efficiency, adaptability, and task-specific optimization. Perplexity Computer enables users to move from concept to completed project with minimal friction. It represents a shift toward fully autonomous AI systems designed to handle end-to-end digital production.

Description

Develop interconnected components that produce and manipulate data by utilizing a multi-modal language model to carry out commands, envisioning an endless platform for natural language processing. Assemble and link various components together. Execute a component to generate data outputs. Design workflows that include branches and loops for enhanced functionality. Begin with a sample project; simply click on an example to initiate a new project featuring a ready-made workflow. You have the option to modify this project, thus creating a new version saved in your account. This innovative initiative called "Computer" is brought to you by the creators of tldraw, who are also responsible for the tldraw SDK tailored for infinite canvas applications, alongside the widely-used collaborative whiteboard at tldraw.com. This project aims to push the boundaries of how we interact with data and visual creation.