Every 如何打造更省 token 的 Every Agent

Plus: Why Every traded personal agents for a shared company agent, the models the team is reaching for this week, and a fresh batch of Thesis Statements

Oct 7, 2026 · 15 min read

Yesterday we launched the Every Agent, an agentic coworker in Slack that helps your whole company go AI-native. Because we pass its token costs on to you with no markup, every token we save, you save. In today’s Context Window, engineer Paridhi Agarwal explains how she made the Every Agent more token-efficient and shares a four-step workflow you can use to find token waste in your own software. Plus, the models the team is reaching for this week, a fresh batch of Thesis Statements, and Willie Williams on being an AI-first engineering manager. On Friday, sign up to join the Every team for a one-hour camp on working with agents in Slack.

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‘The Every Podcast’

Why Every traded personal agents for one company agent

Dan Shipper named his first AI agent R2-D2 and grew genuinely attached to it. Then someone knocked loose the power cord on the Mac mini it ran on, and it disappeared. He never bothered to revive the agent because, by then, Codex had taken over its tasks. Dan expects his current agent, Boo, to meet the same fate within a year: “The personality thing is cool, but particularly in a work context, I mostly care: Does it do the thing?” he says.

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