4 Matching Annotations
  1. Jun 2026
    1. If you connect your AI to Glean, it gives you all the information that you need to do your work, and that results in AI consuming far fewer tokens compared to if you unleash AI onto your systems directly. That's because with Glean, AI ends up performing fewer operations.

      Positioning a search layer as a token cost reducer is a smart pivot: instead of selling 'better search,' Glean is selling AI ROI. By providing targeted context before models are called, Glean reduces prompt length and retrieval loops — turning the context graph into a token economy optimizer. This reframes Glean from a productivity tool to an AI cost management platform.

  2. May 2026
    1. The rankings, set up by a Meta employee on its intranet using company data, measure how many tokens — the units of data processed by AI models — employees are burning through.

      这个引用说明了这种内部排名是通过员工消耗的AI令牌数量来衡量的,这些令牌是AI模型处理数据的单位。