Teacher shares practice of a 9-agent collective lesson-preparation pipeline

On October 17, 2026, a high school English teacher, under the identity "Ku Sir," posted on the Tencent Cloud Developer Community, sharing how he and a 3-person lesson-preparation group transformed collective lesson preparation into a four-stage pipeline of 9 AI agents plus 3 human roles. The article states that the lesson-preparation loop that originally spanned two weeks was run through in a single morning in a test in early September; four sets of prompts respectively handled three-dimensional attribution of student learning conditions, four-part discussion opinions each no more than 100 characters, an 80-minute debate hosting script, and three-dimensional scoring and archiving, and the consensus execution rate changed from frequently left unfinished to 100%. The author also recorded that a 6-point drop in the second quality-check score was actually due to a change in the scoring rubric, teachers' resistance to format constraints, and a member on a business trip being covered by the deputy preparer filling three gaps, and stated that the SOP is general across disciplines and that the prompts can run on Doubao, Kimi, ChatGPT, and DeepSeek. At present, this practice is still presented only as the author's self-account, with no subsequent independent progress.

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1. Oct 17· 1 reports

   Teacher shares the practice of a 9-agent collective lesson preparation pipeline

   Source:English text is being prepared.