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The AI builds a full AI grader for a teacher grading 100+ papers a week

Liang Gou wrote no code himself: he directed the AI to design and build a complete grading app for his wife, a high school math teacher grading 100+ papers a week at 3 to 5 hours per test. The rubric engine reconstructs a rubric from a single graded example, its eval bank comes from real AP Calculus AB free-response exams, two models cross-check grades, and the agent tested the app itself in a browser before deployment.

How it works

  1. Direct the AI to design the grader and write a design doc
  2. Agent builds a Flask app whose rubric engine reconstructs rubrics from a graded example or AP-style format
  3. Agent builds an eval bank from real AP Calculus AB free-response exams
  4. GPT and the AI cross-review each grade
  5. Agent tests the app itself in a Chromium browser
  6. Deploy on Render with a Neon database
  7. Teacher grades her first class with it

Why it’s worth knowing

He wrote zero code: the agent designed, built, browser-tested and deployed the grader, and built its exam bank from real AP Calculus questions.

Where it’s from

Summarized from a public post on lianggou.github.io. See the original ↗

Upgraded prompt

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3The check when it’s done
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Every idea is a real post from someone who tried it, summarized in our words, with a link to the original. App names are swapped for plain words.