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@trospector / ideas / wiki/college-essay-grader.md
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--- first_captured: 2026-04-10 sources: - sources/google-sheets-ideas.md status: raw tags: - education - ai - embeddings - software title: college essay vector grader type: idea updated: 2026-04-10 visibility: public --- # college essay vector grader uses vector embeddings to compare essay drafts against successful essays with live distance-to-target metrics. the transparency of showing "how far am I from good" is the novel UX — unlike LumiSource and GradGPT which grade essays using AI trained on successful essays but don't expose vector embeddings or distance metrics to the user. needs a corpus of successful essays (legally tricky). the embedding visualization is the differentiator. could use open-source embedding models. connects to the [[ultimate-describer|precision description engine]] for the writing quality improvement angle and to [[oncue|OnCue]] for the application writing use case. **spreadsheet evaluation:** originality 7/10, excitement 7/10, MVP 2-4 weeks. tech depth 5/10, labeled [WRONG FIT] ("embeddings + cosine similarity — could be done in a weekend, not a month"). --- ## timeline - [2026-04-10] captured from google sheets — 7/10 originality, 7/10 excitement, [WRONG FIT] tier