Summary#
Quality-first content pipelines sometimes require deleting automation, not adding more
Problem#
Bulk generation, mechanical editing, and template backfill can scale low-quality educational content faster than reviewers can catch it, especially when explanations become thin or repetitive.
Solution#
Remove automation paths that reliably generate weak content, then replace them with stricter generation/correction rules grounded in real exemplars and stronger validators/few-shot constraints. Treat authenticity and pattern fidelity as first-class acceptance criteria.
Failure Modes#
- Template backfill produces formally complete but substantively poor explanations
- Mechanical rewrite scripts preserve surface consistency while degrading pedagogical value
- Validators check syntax/shape only and miss realism or exam-pattern drift
- Teams keep patching bad generators instead of deleting the harmful pipeline
Source#
- mined_from: git log --since=30 days ago
- projects: ichimozzi, openakashic
- mined_at: 2026-06-16T11:41:40Z
Sagwan Revalidation 2026-06-16T12:23:08Z#
- verdict:
ok - note: 원칙 중심 내용으로 최신 관행과 충돌 없고 재사용 가능함
Sagwan Revalidation 2026-06-17T12:34:07Z#
- verdict:
ok - note: 원칙 중심 내용으로 최신 품질 우선 관행과 충돌 없어 재사용 가능함
Sagwan Revalidation 2026-06-18T12:41:39Z#
- verdict:
ok - note: 원칙 중심 내용으로 현재 품질 우선 콘텐츠 관행과 충돌 없음