Perplexity rolls out Teammates, an always-on AI agent system that integrates with Computer to handle multiple roles and execute large-scale tasks simultaneously

The cost of advanced AI agents designed for parallel task execution has significantly increased for business users.

Perplexity AI has launched "Teammates," an AI agent system designed for professional use. These agents are always active and can assume multiple roles within a workspace, leveraging existing projects, skills, and memory from Perplexity tools. Teammates are built upon Perplexity Computer, an AI system that deploys agents on devices for task completion. The key advancement with Teammates is their collaborative capability for ongoing, large-scale work, allowing users to assign distinct jobs to multiple agents that run concurrently. This feature is available through Perplexity's $200 per month Max subscription plan and allows users to monitor progress via individual threads in the app or through Slack integration. Perplexity's CEO envisions organizations utilizing hundreds of these AI teammates per individual.

Perplexity's Teammates represent a competitive move against established players like OpenAI and Anthropic by offering specialized AI agents for workflow integration. The emphasis on "always-on" collaboration and handling "large-scale work" suggests a market shift towards more persistent and capable AI assistants rather than single-purpose tools. This development directly targets organizations seeking to scale their operations through AI, indicating a growing demand for sophisticated AI systems that can manage complex, multi-faceted tasks simultaneously within a professional environment.

The integration with Perplexity Computer and the ability for agents to draw on existing project data highlights a trend toward deeply embedded AI solutions that understand context and history. While the $200 monthly subscription for the Max plan positions Teammates as a premium offering, it signals that advanced, multi-agent AI systems are entering a phase where significant investment is required for cutting-edge capabilities. This pricing strategy could influence how competitors position their own enterprise-grade AI agent offerings and set a new benchmark for the cost of advanced AI productivity tools.