| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 42 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1033 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 100.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 17.72% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1033 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "pulsed" | | 1 | "resolved" | | 2 | "warmth" | | 3 | "scanned" | | 4 | "flicker" | | 5 | "footsteps" | | 6 | "pulse" | | 7 | "flicked" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 0 | | maxInWindow | 0 | | found | (empty) | | highlights | (empty) | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 125 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 125 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 153 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1033 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 59 | | wordCount | 833 | | uniqueNames | 12 | | maxNameDensity | 3.6 | | worstName | "Rory" | | maxWindowNameDensity | 5 | | worstWindowName | "Rory" | | discoveredNames | | Heartstone | 4 | | Richmond | 1 | | Park | 1 | | Rory | 30 | | Isolde | 16 | | Hel | 1 | | Fae | 1 | | Grove | 1 | | Evan | 1 | | Cheung | 1 | | Golden | 1 | | Empress | 1 |
| | persons | | 0 | "Heartstone" | | 1 | "Rory" | | 2 | "Isolde" | | 3 | "Evan" | | 4 | "Cheung" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Hel" | | 3 | "Fae" | | 4 | "Grove" |
| | globalScore | 0 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 53 | | glossingSentenceCount | 1 | | matches | | 0 | "note that seemed to come from inside Rory's own chest" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1033 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 153 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 71 | | mean | 14.55 | | std | 12.7 | | cv | 0.873 | | sampleLengths | | 0 | 5 | | 1 | 51 | | 2 | 3 | | 3 | 57 | | 4 | 2 | | 5 | 47 | | 6 | 13 | | 7 | 12 | | 8 | 30 | | 9 | 23 | | 10 | 9 | | 11 | 7 | | 12 | 27 | | 13 | 13 | | 14 | 5 | | 15 | 7 | | 16 | 7 | | 17 | 5 | | 18 | 18 | | 19 | 35 | | 20 | 9 | | 21 | 8 | | 22 | 23 | | 23 | 7 | | 24 | 28 | | 25 | 4 | | 26 | 25 | | 27 | 27 | | 28 | 24 | | 29 | 13 | | 30 | 20 | | 31 | 2 | | 32 | 3 | | 33 | 6 | | 34 | 12 | | 35 | 37 | | 36 | 6 | | 37 | 1 | | 38 | 11 | | 39 | 29 | | 40 | 1 | | 41 | 1 | | 42 | 1 | | 43 | 39 | | 44 | 5 | | 45 | 11 | | 46 | 15 | | 47 | 4 | | 48 | 5 | | 49 | 6 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 125 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 155 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 153 | | ratio | 0 | | matches | (empty) | |
| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 843 | | adjectiveStacks | 2 | | stackExamples | | 0 | "small crescent-shaped scar." | | 1 | "tall bark-skinned thing" |
| | adverbCount | 14 | | adverbRatio | 0.0166073546856465 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.0011862396204033216 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 153 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 153 | | mean | 6.75 | | std | 4.87 | | cv | 0.722 | | sampleLengths | | 0 | 5 | | 1 | 11 | | 2 | 11 | | 3 | 15 | | 4 | 14 | | 5 | 3 | | 6 | 19 | | 7 | 8 | | 8 | 21 | | 9 | 3 | | 10 | 6 | | 11 | 2 | | 12 | 6 | | 13 | 2 | | 14 | 30 | | 15 | 9 | | 16 | 6 | | 17 | 7 | | 18 | 7 | | 19 | 5 | | 20 | 5 | | 21 | 10 | | 22 | 7 | | 23 | 8 | | 24 | 8 | | 25 | 7 | | 26 | 2 | | 27 | 6 | | 28 | 4 | | 29 | 5 | | 30 | 7 | | 31 | 3 | | 32 | 5 | | 33 | 15 | | 34 | 4 | | 35 | 4 | | 36 | 9 | | 37 | 5 | | 38 | 7 | | 39 | 7 | | 40 | 2 | | 41 | 3 | | 42 | 18 | | 43 | 3 | | 44 | 4 | | 45 | 5 | | 46 | 10 | | 47 | 13 | | 48 | 4 | | 49 | 5 |
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| 50.76% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 14 | | diversityRatio | 0.35947712418300654 | | totalSentences | 153 | | uniqueOpeners | 55 | |
| 30.03% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 111 | | matches | | 0 | "Bright blue eyes caught movement" |
| | ratio | 0.009 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 21 | | totalSentences | 111 | | matches | | 0 | "She stepped through." | | 1 | "She counted seven." | | 2 | "She had counted five last" | | 3 | "It pulsed faintly with warmth" | | 4 | "It pulsed now, steady as" | | 5 | "Her ears were too long." | | 6 | "She knew the routine." | | 7 | "She did not run." | | 8 | "They did not walk." | | 9 | "They listed, like tide water." | | 10 | "It was tall, bark-skinned, with" | | 11 | "It carried the smell of" | | 12 | "It made no threat." | | 13 | "Her mother's name." | | 14 | "It was layered, old." | | 15 | "She held the pendant out" | | 16 | "She wore Rory's own coat." | | 17 | "It moved for the girl." | | 18 | "She dropped the delivery bag" | | 19 | "It hit the moss with" |
| | ratio | 0.189 | |
| 14.05% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 99 | | totalSentences | 111 | | matches | | 0 | "The stones were already humming." | | 1 | "Rory pressed her palm to" | | 2 | "A low thrumming travelled up" | | 3 | "The Heartstone pendant at her" | | 4 | "She stepped through." | | 5 | "Wildflowers brushed her calves, impossible" | | 6 | "The clearing of Richmond Park" | | 7 | "She counted seven." | | 8 | "She had counted five last" | | 9 | "The voice came from the" | | 10 | "The crescent scar on Rory's" | | 11 | "Rory kept her voice low" | | 12 | "Isolde smiled without teeth" | | 13 | "Rory's fingers found the pendant." | | 14 | "It pulsed faintly with warmth" | | 15 | "It pulsed now, steady as" | | 16 | "The silver chain felt hot" | | 17 | "Rory scanned the wildflowers" | | 18 | "Something moved, low and quick," | | 19 | "Isolde tilted her head." |
| | ratio | 0.892 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 111 | | matches | (empty) | | ratio | 0 | |
| 5.49% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 26 | | technicalSentenceCount | 5 | | matches | | 0 | "Wildflowers brushed her calves, impossible white and violet heads nodding in a wind that did not touch the trees." | | 1 | "Ancient oak standing stones ringed the hollow, their bark black with age and carved with marks that hurt to focus on." | | 2 | "Bright blue eyes caught movement at the edge of the grove, a shape that resolved into a girl with straight shoulder-length black hair, a thin silver chain at he…" | | 3 | "A long, low note that seemed to come from inside Rory's own chest." | | 4 | "The girl who stood at the edge of the stones had straight shoulder-length black hair, bright blue eyes, and a delivery bag slung over one shoulder." |
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| 89.29% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 1 | | matches | | 0 | "Isolde whispered, and her voice was not Isolde's anymore" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 2 | | fancyTags | | 0 | "Isolde whispered (whisper)" | | 1 | "Isolde hissed (hiss)" |
| | dialogueSentences | 42 | | tagDensity | 0.095 | | leniency | 0.19 | | rawRatio | 0.5 | | effectiveRatio | 0.095 | |