• For the last two years the industry has focused on raw model intelligence • But as we work with customers to move beyond the hype, a critical question remains: Are we actually using these models for anything useful • To date, AI success has been measured through the consumption oftokens • But tokens only measure how much an AI talks, not the work it actually completes • That’s why we’re excited to introduce the Agentic Work Unit (AWU) • An AWU is one discrete task accomplished by an AI agent

Article Summaries:

  • For the last two years the industry has focused on raw model intelligence. But as we work with customers to move beyond the hype, a critical question remains: Are we actually using these models for anything useful? To date, AI success has been measured through the consumption of tokens. But tokens only measure how much an AI talks, not the work it actually completes. That’s why we’re excited to introduce the Agentic Work Unit (AWU). An AWU is one discrete task accomplished by an AI agent. It is the moment where raw intelligence is converted into real work. It’s a prompt processed, a reasoning

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