AI Engineering Research Note2026Canonical long-form →

Reflect-Revise Loop

Reflection-loop agent : mean SLOP 127.5 → 14.0 across drafts, 3/4 improved, 1/4 honest no-progress halt.

AI EngineeringPublished Sun Mar 01 2026 00:00:00 GMT+0000 (Coordinated Universal Time)

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

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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{macion2026ai05reflectrevise,
  author       = {Macion, Christian T.},
  title        = {Reflect-Revise Loop},
  institution  = {Independent research},
  year         = {2026},
  date         = {2026-03-01},
  note         = {Public-data reproducible. Canonical long-form: https://christianmacion-portfolio.pages.dev/projects/ai/05-reflect-revise/},
  url          = {https://christianmacion-portfolio.pages.dev/projects/ai/05-reflect-revise/}
}

Canonical surface

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

  • Canonical URL/projects/ai/05-reflect-revise ↗
  • Headline metric(s)
    • 127.5 → 14.0Mean SLOP score
    • 3 / 4Drafts improved
    • 1 / 4Honest no-progress halts
  • Tags
    • agents
    • reflection
    • evaluation
    • halt
    • logging

Read the full research note.

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

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