OpenAI has launched ChatGPT Work, a $20/month product adapted from its Codex coding tool, aimed at giving white-collar workers—not just software engineers—access to AI agents that can autonomously complete multistep tasks. To function effectively, the tool requires deep access to users' digital lives, including email, Slack, phone data and apps like Notion and Figma, as demonstrated by OpenAI's own lead engineer who granted it broad control over his accounts.
Anthropic revised Claude Tag, its Slack-based agent, so it now analyzes entire conversation threads instead of assessing messages individually. The company says this context upgrade makes the agent about 30% more accurate at judging when to jump into a discussion unprompted—and when to stay silent. Executive Scott White frames this as part of a broader push toward 'multiplayer AI,' where Claude operates as a shared organizational resource rather than a private chatbot.
Enterprise AI systems are largely built by connecting individual applications directly to source documents, generating separate chunks, embeddings and retrieval pipelines per use case. As companies scale up the number of AI agents and applications, teams end up duplicating work on the same documents and producing inconsistent, sometimes contradictory representations of the same business knowledge.
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