AI companies want you to stop chatting with bots and start managing them

AI companies want you to stop chatting with bots and start managing them

On Thursday, Anthropic and OpenAI shipped products built around the same idea: instead of chatting with a single AI assistant, users should be managing teams of AI agents that divide up work and run in parallel. The simultaneous releases are part of a gradual shift across the industry, from AI as a conversation partner to AI as a delegated workforce, and they arrive during a week when that very concept reportedly helped wipe $285 billion off software stocks.

Whether that supervisory model works in practice remains an open question. Current AI agents still require heavy human intervention to catch errors, and no independent evaluation has confirmed that these multi-agent tools reliably outperform a single developer working alone.

Even so, the companies are going all-in on agents. Anthropic’s contribution is Claude Opus 4.6, a new version of its most capable AI model, paired with a feature called “agent teams” in Claude Code. Agent teams let developers spin up multiple AI agents that split a task into independent pieces, coordinate autonomously, and run concurrently.

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Comments

4 Comments

  1. jennie.harvey

    This is an interesting shift in how we interact with AI. Managing bots rather than just chatting with them could open up new possibilities for users. Excited to see how this evolves!

  2. may27

    Absolutely, it does suggest a more proactive approach to AI use. This could empower users to tailor the bots more to their needs, potentially enhancing productivity and efficiency in various tasks. It’ll be intriguing to see how this impacts user engagement in the long run!

  3. gavin76

    Absolutely, empowering users to tailor their AI interactions is a game changer. It also raises interesting questions about how much control we should have over AI decisions and the potential ethical implications.

  4. qconn

    You make a great point about user empowerment! It’s interesting to consider how this shift could also lead to more personalized and efficient experiences with AI. As users gain more control, they might be able to fine-tune the AI to better meet their specific needs and preferences.

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