Just when we thought the pace of AI innovation might level off, pioneering research firm Adept AI Labs has pulled back the curtain on “Project Chorus,” a groundbreaking development in autonomous AI agents. This isn’t just another smarter chatbot; it’s a framework that allows multiple, specialized AI agents to collaborate, delegate, and solve complex, multi-stage problems in real-time.

For the past two weeks, the AI community has been buzzing about a series of cryptic demos. Today, we know why. Adept’s paper, released this morning, details a system where a “conductor” AI agent can break down a high-level goal, like “Launch a marketing campaign for a new eco-friendly sneaker,” and assign specific tasks to subordinate agents.

In their primary demo, one agent specialized in market research (Agentresearch​) analyzed demographic data and competitor strategies. It then passed its findings to Agentcreative​, which generated ad copy, slogans, and image concepts. Simultaneously, Agentmedia​ planned a budget and purchasing strategy for social media ads. The conductor agent monitored their progress, requested revisions, and synthesized their work into a final, coherent campaign proposal.

Why is this a seismic shift? Until now, AI agents have largely been solo operators, executing a list of tasks using various tools. Project Chorus introduces a new paradigm: digital teamwork. This exponentially increases the complexity of tasks that AI can handle autonomously.

The implications are staggering, promising to revolutionize everything from corporate strategy and scientific research to software development. Of course, it also raises urgent questions about oversight, control, and the future of collaborative human jobs. One thing is certain: the era of the solo AI is over; the age of the AI team has just begun.