Perplexity has introduced a powerful new AI capability called “Computer,” designed to execute complex workflows through a coordinated network of artificial intelligence agents. The feature is currently available to Perplexity Max subscribers and represents a significant step forward in autonomous AI task management.
According to the company, a “Computer” functions as a persistent AI system that can plan, create, and execute full workflows with minimal human intervention. Unlike traditional chat-based tools, this system can operate continuously for extended periods, ranging from hours to even months, depending on the assigned objective.
The launch places Perplexity among a growing group of AI innovators exploring long-running autonomous systems capable of managing real-world projects. By enabling multi-step execution without constant user prompts, the company aims to redefine how individuals and businesses delegate digital tasks.
At the core of this innovation is a multi-agent, multi-model architecture. Instead of relying on a single AI model, the system distributes responsibilities across multiple specialized agents. Each agent handles a defined subtask, ensuring greater efficiency, accuracy, and scalability.
For example, a user might instruct the system to plan and execute a local digital marketing campaign. The Computer would analyze the goal, break it into structured subtasks such as market research, audience segmentation, ad creation, budget allocation, and performance tracking. Each component would then be handled by dedicated AI agents working in coordination.
Similarly, users could request the system to build an Android app for research or internal use. The workflow might include ideation, coding, testing, debugging, and documentation. By managing these phases autonomously, the system reduces manual oversight and accelerates project timelines.
The concept reflects a broader industry shift toward generative engine optimization and advanced automation frameworks. As AI models become more capable, companies are increasingly focusing on orchestration layers that allow multiple models to collaborate intelligently. This multi-agent approach enhances flexibility and enables more dynamic problem-solving compared to single-prompt AI systems.
Perplexity’s move also signals growing demand for AI platforms that act more like digital employees rather than simple assistants. Long-duration execution allows for monitoring performance metrics, adjusting strategies, and refining outputs over time. This opens new possibilities for businesses seeking continuous optimization without daily intervention.
However, the ability to run AI agents for months raises important considerations around oversight, accountability, and data security. As autonomous systems become more embedded in operational workflows, governance and compliance frameworks will play a critical role in ensuring responsible deployment.
By introducing “Computer,” Perplexity is positioning itself at the forefront of autonomous AI infrastructure. The feature highlights how artificial intelligence is evolving beyond reactive chat interactions into proactive systems capable of managing sustained, outcome-driven initiatives.
