Perplexity is shifting the AI goalposts from one-off answers to continuous work. Its new 'Teammates' feature gives users a crew of persistent AI agents designed to own long-term tasks, a significant leap beyond the typical prompt-and-response model.
What Are Perplexity Teammates?
Imagine
hiring a team of digital assistants, each dedicated to a specific, ongoing responsibility. That's the core idea behind Perplexity Teammates. Announced in early November 2026, this feature allows users to create specialized AI agents that handle continuous work without needing a new prompt for every action. Instead of just answering a question, a Teammate takes on a role—like 'Marketing Analyst' or 'Legal Researcher'—and works autonomously in the background. This marks a conceptual shift from AI as a reactive tool to AI as a proactive, persistent partner. These Teammates build on Perplexity's existing 'Computer' platform, which is already adept at handling complex, multi-step tasks. However, Teammates are designed for a much larger scale, capable of managing work around the clock.
The Power of Separate, Persistent Threads
The key to making this all manageable is how Teammates are organized. Each agent you create gets its own dedicated, persistent thread that appears in your Perplexity sidebar, right alongside your other projects. This thread never closes, creating a complete, chronological log of everything the agent has done, what it's currently working on, and when it has completed tasks. This is a crucial design choice that provides much-needed transparency. Users can dip into an agent's thread at any time to check its progress, provide new instructions, or change its priorities, much like messaging a human colleague. This structure prevents the confusion of having instructions and outputs scattered across different conversations, providing a clean and permanent audit trail for each agent's work. Each Teammate also operates in its own isolated environment, with an independent virtual desktop and browser session, ensuring that its work doesn't interfere with other tasks.
How Monitoring and Collaboration Work
Delegating work to an AI requires trust, and Perplexity has built monitoring directly into the Teammates framework. While the agents are designed to be autonomous, they aren't meant to operate in a black box. They work 24/7 but will proactively notify you when a human decision is needed. For example, a Teammate tasked with fixing a code issue might be instructed to page a human engineer for final approval before deploying a change. Users can also take direct control when necessary. The platform also fosters collaboration between AI and human teams. Teammates can be integrated into workplace tools like Slack, where human coworkers can assign them tasks, ask for status updates, or review their progress. Furthermore, different AI Teammates can coordinate with each other, handing off work as a project moves through different stages. For instance, one agent could identify customer complaints, and another could take that data to draft potential solutions.
Practical Use Cases and The Bigger Picture
The potential applications are broad and business-focused. A marketing Teammate could monitor ad campaign performance and automatically prepare followup actions when results change. An operations agent could track project deadlines and flag missing documentation before it becomes a problem. Other roles could include triaging bug reports, researching competitors, or even comparing legal contracts against other documents to flag inconsistencies. This feature is initially available for subscribers of Perplexity's highend Max plan, which costs $200 per month, positioning it as a tool for serious professionals and businesses looking to automate complex workflows. The launch represents a clear strategic push by Perplexity to move beyond its roots as a sophisticated search engine and become an indispensable platform for autonomous work. By giving AI agents memory, context, and persistent responsibilities, the company is betting on a future where every employee could be supported by a team of digital specialists.
