| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 0 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 91.71% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1206 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 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) | |
| 62.69% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1206 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "silence" | | 1 | "pulse" | | 2 | "warmth" | | 3 | "pulsed" | | 4 | "whisper" | | 5 | "rhythmic" |
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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 | 0 | | narrationSentences | 91 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 91 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 91 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 69 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 13 | | totalWords | 1206 | | ratio | 0.011 | | matches | | 0 | "Richmond. Tonight. Don't ask, just come. Wear the pendant." | | 1 | "Get it together, Carter." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 28 | | wordCount | 1187 | | uniqueNames | 9 | | maxNameDensity | 0.76 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Eva" | | discoveredNames | | Eva | 8 | | Isolde | 1 | | December | 1 | | November | 3 | | Heartstone | 1 | | Pendant | 1 | | Tonight | 3 | | Rory | 9 | | Fae | 1 |
| | persons | | 0 | "Eva" | | 1 | "Isolde" | | 2 | "Pendant" | | 3 | "Rory" |
| | places | | | globalScore | 1 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 53 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1206 | | matches | (empty) | |
| 93.41% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 91 | | matches | | 0 | "whispered that Isolde's" | | 1 | "explain that the" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 31 | | mean | 38.9 | | std | 33.93 | | cv | 0.872 | | sampleLengths | | 0 | 81 | | 1 | 17 | | 2 | 4 | | 3 | 75 | | 4 | 11 | | 5 | 103 | | 6 | 6 | | 7 | 77 | | 8 | 5 | | 9 | 104 | | 10 | 4 | | 11 | 55 | | 12 | 36 | | 13 | 3 | | 14 | 84 | | 15 | 41 | | 16 | 4 | | 17 | 100 | | 18 | 8 | | 19 | 48 | | 20 | 52 | | 21 | 51 | | 22 | 14 | | 23 | 8 | | 24 | 40 | | 25 | 1 | | 26 | 18 | | 27 | 80 | | 28 | 17 | | 29 | 5 | | 30 | 54 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 91 | | matches | | |
| 13.78% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 5 | | totalVerbs | 179 | | matches | | 0 | "was not, strictly speaking" | | 1 | "was bleeding" | | 2 | "were pointing" | | 3 | "was beating" | | 4 | "was answering" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 91 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 272 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 8 | | adverbRatio | 0.029411764705882353 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.003676470588235294 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 91 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 91 | | mean | 13.25 | | std | 14.12 | | cv | 1.066 | | sampleLengths | | 0 | 22 | | 1 | 14 | | 2 | 1 | | 3 | 44 | | 4 | 4 | | 5 | 13 | | 6 | 4 | | 7 | 18 | | 8 | 27 | | 9 | 5 | | 10 | 25 | | 11 | 2 | | 12 | 9 | | 13 | 14 | | 14 | 36 | | 15 | 5 | | 16 | 9 | | 17 | 39 | | 18 | 6 | | 19 | 8 | | 20 | 19 | | 21 | 3 | | 22 | 2 | | 23 | 16 | | 24 | 29 | | 25 | 5 | | 26 | 24 | | 27 | 7 | | 28 | 1 | | 29 | 1 | | 30 | 4 | | 31 | 67 | | 32 | 4 | | 33 | 13 | | 34 | 13 | | 35 | 29 | | 36 | 3 | | 37 | 19 | | 38 | 7 | | 39 | 7 | | 40 | 3 | | 41 | 4 | | 42 | 5 | | 43 | 41 | | 44 | 6 | | 45 | 28 | | 46 | 4 | | 47 | 2 | | 48 | 17 | | 49 | 10 |
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| 48.72% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.3516483516483517 | | totalSentences | 91 | | uniqueOpeners | 32 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 78 | | matches | | 0 | "Then she had not laughed." | | 1 | "Somewhere into the deeper dark" | | 2 | "Just behind the oak's furthest" |
| | ratio | 0.038 | |
| 91.79% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 25 | | totalSentences | 78 | | matches | | 0 | "She had counted seven the" | | 1 | "It was not dead." | | 2 | "Their stems were too white." | | 3 | "Their petals caught the moonlight" | | 4 | "Her hand went to the" | | 5 | "She had worn it for" | | 6 | "It had never done anything." | | 7 | "It was a pretty stone" | | 8 | "She wore it because it" | | 9 | "She held it in her" | | 10 | "She should not have come." | | 11 | "She stepped forward." | | 12 | "She had walked its edges" | | 13 | "She took another step." | | 14 | "She walked on." | | 15 | "Its roots humped the ground" | | 16 | "She pulled her hand away" | | 17 | "She touched the gem with" | | 18 | "She followed its direction with" | | 19 | "She had never seen this" |
| | ratio | 0.321 | |
| 36.92% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 66 | | totalSentences | 78 | | matches | | 0 | "The standing stones rose from" | | 1 | "Aurora counted them as she" | | 2 | "She had counted seven the" | | 3 | "That had been spring." | | 4 | "This was November, and the" | | 5 | "It was not dead." | | 6 | "Rory stopped at the threshold," | | 7 | "The meadow stretched before her" | | 8 | "Their stems were too white." | | 9 | "Their petals caught the moonlight" | | 10 | "Her hand went to the" | | 11 | "The Heartstone Pendant hung against" | | 12 | "She had worn it for" | | 13 | "It had never done anything." | | 14 | "It was a pretty stone" | | 15 | "She wore it because it" | | 16 | "Tonight, the gem was not" | | 17 | "Rory drew it out from" | | 18 | "The crimson had deepened, darkened" | | 19 | "She held it in her" |
| | ratio | 0.846 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 78 | | matches | | 0 | "Now she stood before the" | | 1 | "As if it were pointing." |
| | ratio | 0.026 | |
| 83.33% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 36 | | technicalSentenceCount | 3 | | matches | | 0 | "The standing stones rose from the earth like rotten teeth, their surfaces furred with moss that glowed faintly green in the moonlight." | | 1 | "She had counted seven the last time, too, the night Eva had brought her here and whispered that Isolde's grove was real, that the wildflowers that bloomed in De…" | | 2 | "The flowers parted around her ankles without bending, their stems straightening behind her as if they had never moved." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |