Grade Article Using Jennifer

Task Library

Run a finished article through the Jennifer grading system for a quality score and fix what it flags before the piece moves to the Post stage.

Category: Content Factory – Process

Use this when an article has cleared proofreading (Step 11) and you want an objective quality score before WordPress posting.

> Gap notice: this task has no definitive article and the Jennifer rubric/threshold is not yet documented in the library. The steps below are the provisional process from the task definition; the FIRST real run must be documented with the Meta-Article Prompt so the rubric, scoring scale, and pass threshold get written down.

Inputs

  • The finished article draft (post-Step 11, pre-posting)
  • Access to the Jennifer grading system
  • The article's GCT statement and transcript (so fixes never drift from the source material)
  • The Content Library tracker

Steps

  1. Submit the complete article – title, meta, body, image alt text – to Jennifer for grading.
  2. Record the returned score and the full rubric feedback verbatim in the tracker row; the score is a Metric in the MAA loop, not a verdict to skim.
  3. Triage every flagged issue: fix it, or document explicitly why it stands (e.g., the "issue" is the speaker's authentic phrasing, which the guidelines protect).
  4. Make fixes against the source of truth – adjustments must stay faithful to the transcript and the GCT statement; never "fix" an article by inventing content the video does not support.
  5. Re-run the grade after fixes and record the new score. Iterate until flagged issues are resolved or consciously accepted with reasons.
  6. Cross-check that Jennifer-driven edits did not break the hard specs: title <60, meta <160, keyword in first paragraph, links intact (these remain governed by /blog-posting-guidelines regardless of grade).
  7. Attach the final score to the post record so RankMath score (70+), Jennifer score, and audit results travel together as the article's quality file.
  8. Document the run via write-meta-article-documenting-agent-work – the first documented run defines the pass threshold and seeds the definitive article.

Definition of done (QA checklist)

  • Article graded; score and full feedback recorded verbatim in the tracker
  • Every flagged issue fixed or explicitly accepted with a written reason
  • Fixes verified against transcript and GCT (no invented content)
  • Hard Blog Posting Guidelines specs still pass after edits
  • Final score attached to the post record; first-run meta-article created
  • Linked back to the definitive article and relevant siblings (hub pending)

Example(s)

  • Example needed – run the Meta-Article Prompt after first real run. No documented Jennifer grading run exists in the library yet; the first one defines the rubric.

File in the zip: skills/content-factory-process/grade-article-using-jennifer.md. Download the Task Library zip.

Index: Task Library. Article guidelines.

Scroll to Top