AI Engineering Research Note2026Canonical long-form →

Slop Scanner

13-metric literature-grounded AI-output quality gate : drove a real draft from HEAVY (81) to CLEAN (3).

AI EngineeringPublished Sun Mar 22 2026 00:00:00 GMT+0000 (Coordinated Universal Time)

EVAL-FIRST31 GATESNDA-CLEANPUBLIC DATAALPHASIGNAL > NOISEREPRODUCIBLENOTEBOOK-COMMITTEDCITABLEBIBTEX + DOI

Cite this research note

A copy-pasteable BibTeX entry. The canonical long-form with figures, code, and full methodology lives at the URL in the entry. please link there, not here, when citing in a paper or a thread.

@techreport{macion2026ai06slopscanner,
  author       = {Macion, Christian T.},
  title        = {Slop Scanner},
  institution  = {Independent research},
  year         = {2026},
  date         = {2026-03-22},
  note         = {Public-data reproducible. Canonical long-form: https://christianmacion-portfolio.pages.dev/projects/ai/06-slop-scanner/},
  url          = {https://christianmacion-portfolio.pages.dev/projects/ai/06-slop-scanner/}
}

Canonical surface

The full research note. methodology, code, gates run, and reproduced metrics. lives on the projects index.

  • Canonical URL/projects/ai/06-slop-scanner ↗
  • Headline metric(s)
    • 81 → 3Real-draft improvement
    • 13Metrics
    • 0External dependencies
  • Tags
    • evaluation
    • content-quality
    • nlg
    • stdlib
    • streamlit

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The canonical long-form on /projects walks through the methodology, evaluation gates, code, and reproducibility manifest.

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