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Building an AI R&D team: start with a hands-on evangelist, four pillars

1 article1 sourcesince Nov 8Last article

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An article argues that a traditional software team adopts AI effectively by first appointing a hands-on evangelist rather than a manager, and presents four pillars for building an AI R&D team, starting with that role.

The article cites Cursor's case study of Money Forward, where coding agent use rose 30% within a week and more than 1,000 employees used the tool daily. This is a single article's argument supported by that one case, and the other three pillars are not described in the available report.

Written by AI from the articles below · updated Nov 9, 4:24 PM ET

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Latest developmentNov 8, 9:24 AM ET
How to build an AI R&D team quickly, with four pillars

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The articles in this story. Times are ET.

Nov 8
  1. YeemioX
    How to build an AI R&D team quickly, with four pillars

    AIThe article argues that a traditional software team adopts AI effectively by first appointing a hands-on evangelist rather than a manager. It cites Cursor's case study of Money Forward, where coding agent use rose 30% within a week and more than 1,000 employees used the tool daily. The author presents four pillars for building an AI R&D team, starting with the evangelist.

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