Suggest edit — precision description engine

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---
first_captured: 2026-03-15
sources:
- sources/ideaflow/2026-03-15_framing-generally-totally-matters.md
- sources/google-sheets-ideas.md
status: built
tags:
- writing
- ai
- nlp
- software
title: precision description engine
type: idea
updated: 2026-04-10
visibility: public
---

# precision description engine

"ultimate describer" — an engine for making descriptions more precise. won a hackathon. the architecture is layered:

1. **core engine** — precision mapping: take input text, identify vague/ambiguous terms, generate a spectrum of replacements from vague to precise, score along a specificity axis
2. **context calibration** — audience profiling, domain vocabulary, cross-language precision, emotional register
3. **personalization** — quiz/preference system, style inference from user writing, comparative selection
4. **output modes** — inline text replacement, visual generation, vague-to-precise slider
5. **applications** — anti-slop writing, copywriting, job/program applications, [[referral-hiring|hiring]] role descriptions, VC pitches, self-intros at events, teaching users to describe better, Claude skill writing, media generation, translational meaning preservation, writing in someone's voice
6. **evaluation** — A/B testing, user inspection, iterative model improvement

the core insight that "framing generally totally matters" — at networking events, how you describe yourself (timid vs boisterous vs precise) completely changes the outcome. this tool systematizes precision in self-description. connects to [[oncue|OnCue]] for the interview/application output side, and to the [[cultural-translator|cultural translator]] for cross-context communication.

**spreadsheet evaluation:** excitement 10/10. the spreadsheet contains an extensive application list beyond the hackathon version: college supplemental essays/scholarships/awards, teacher feedback and learning optimization, young founder cold outreach, grant/proposal writing (noted competitor: GrantBoost), sales, event invitations, difficult conversations and negotiations. tech depth ranked 4/10, labeled [WRONG FIT] ("useful but thin technically — more of a prompt engineering project than a hard problem"). the shenal-maker/ultimate-describer GitHub repo and hackathon win are documented.

---

## timeline

- [2026-03-15] captured with full layered architecture — won a hackathon
- [2026-04-10] google sheets evaluation — 10/10 excitement, expanded application list, [WRONG FIT] for tech depth