Ready-made playbooks for your agent, built and tested by the Every team.
Catches issues an editor would flag in a draft: unsupported claims, weak arguments, unclear language, and recurring AI phrasing, then quotes the passage and proposes a fix.
Katie Parrott, staff writer
Pulls together everything you've said about one topic across your voice notes, including how your thinking has evolved.
Nityesh Agarwal, senior applied AI engineer
Helps you decide whether you can afford to hire or invest by examining your cash, upcoming costs, and likely return.
Brandon Gell, COO
Reviews a codebase, writes a prioritized plan, asks a second model from a different provider to critique it, and then reconciles the feedback.
Loren Stewart, engineer
Uses your Notion task list and GitHub pull requests to prepare a weekly sprint review.
Mike Taylor, head of evals
Turns source material into one caption for X and LinkedIn in Every's voice, while checking claims, identities, links, assets, and review status.
Becky Isjwara, head of social media
Teaches you about any topic, either through a five-minute primer, a briefing, or an interactive course, depending on how deep you want to go.
Natalia Quintero, head of enterprise AI adoption
Reviews prose for jargon, wordiness, and flow.
Jack Cheng, senior editor
Reviews corrections you've given your agent and proposes targeted changes to its instructions so it doesn’t keep making the same mistakes.
Arielle Shipper, head of operations
Helps you decide what a site or product should look and feel like before building it.
Nityesh Agarwal, senior applied AI engineer, and Lucas Crespo, former creative lead
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