| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 25 | | tagDensity | 0.08 | | leniency | 0.16 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.94% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1633 | | totalAiIsmAdverbs | 1 | | 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) | |
| 60.20% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1633 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "furrowed" | | 1 | "stomach" | | 2 | "footfall" | | 3 | "etched" | | 4 | "pulse" | | 5 | "throbbed" | | 6 | "flicked" | | 7 | "long shadow" | | 8 | "whisper" | | 9 | "pulsed" | | 10 | "silk" | | 11 | "warmth" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 135 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 135 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 159 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 44 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1632 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 74.73% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 69 | | wordCount | 1395 | | uniqueNames | 16 | | maxNameDensity | 1.51 | | worstName | "Aurora" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Aurora" | | discoveredNames | | Richmond | 2 | | Park | 2 | | Aurora | 21 | | Heartstone | 4 | | Fae | 3 | | Isolde | 12 | | London | 2 | | December | 1 | | Nyx | 9 | | Grove | 1 | | Dymas | 1 | | Yu-Fei | 1 | | Cardiff | 1 | | Evan | 1 | | One | 3 | | Cold | 5 |
| | persons | | 0 | "Aurora" | | 1 | "Isolde" | | 2 | "Nyx" | | 3 | "Grove" | | 4 | "Yu-Fei" | | 5 | "Evan" | | 6 | "One" | | 7 | "Cold" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "London" | | 3 | "December" | | 4 | "Cardiff" |
| | globalScore | 0.747 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 90 | | glossingSentenceCount | 1 | | matches | | 0 | "appeared outside each carved with spirals that caught the light and moved" |
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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 | 1632 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 159 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 70 | | mean | 23.31 | | std | 24.25 | | cv | 1.04 | | sampleLengths | | 0 | 8 | | 1 | 77 | | 2 | 38 | | 3 | 7 | | 4 | 37 | | 5 | 4 | | 6 | 11 | | 7 | 28 | | 8 | 74 | | 9 | 2 | | 10 | 38 | | 11 | 63 | | 12 | 3 | | 13 | 10 | | 14 | 4 | | 15 | 17 | | 16 | 3 | | 17 | 16 | | 18 | 90 | | 19 | 42 | | 20 | 4 | | 21 | 92 | | 22 | 3 | | 23 | 3 | | 24 | 13 | | 25 | 32 | | 26 | 3 | | 27 | 7 | | 28 | 44 | | 29 | 10 | | 30 | 1 | | 31 | 78 | | 32 | 3 | | 33 | 12 | | 34 | 12 | | 35 | 3 | | 36 | 56 | | 37 | 11 | | 38 | 1 | | 39 | 17 | | 40 | 19 | | 41 | 77 | | 42 | 49 | | 43 | 16 | | 44 | 4 | | 45 | 15 | | 46 | 19 | | 47 | 51 | | 48 | 12 | | 49 | 3 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 135 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 217 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 159 | | ratio | 0.006 | | matches | | 0 | "\"—is a blink beyond, or a week. The Grove keeps its own count.\"" |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1113 | | adjectiveStacks | 1 | | stackExamples | | 0 | "lay thumbnail-small against her" |
| | adverbCount | 24 | | adverbRatio | 0.0215633423180593 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.0008984725965858042 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 159 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 159 | | mean | 10.26 | | std | 8.18 | | cv | 0.797 | | sampleLengths | | 0 | 8 | | 1 | 18 | | 2 | 7 | | 3 | 32 | | 4 | 2 | | 5 | 3 | | 6 | 15 | | 7 | 8 | | 8 | 14 | | 9 | 6 | | 10 | 10 | | 11 | 7 | | 12 | 5 | | 13 | 22 | | 14 | 10 | | 15 | 4 | | 16 | 4 | | 17 | 7 | | 18 | 28 | | 19 | 9 | | 20 | 18 | | 21 | 2 | | 22 | 9 | | 23 | 25 | | 24 | 11 | | 25 | 2 | | 26 | 4 | | 27 | 2 | | 28 | 23 | | 29 | 4 | | 30 | 5 | | 31 | 5 | | 32 | 26 | | 33 | 23 | | 34 | 9 | | 35 | 3 | | 36 | 10 | | 37 | 4 | | 38 | 2 | | 39 | 8 | | 40 | 7 | | 41 | 3 | | 42 | 2 | | 43 | 2 | | 44 | 12 | | 45 | 19 | | 46 | 29 | | 47 | 6 | | 48 | 9 | | 49 | 22 |
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| 43.08% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.2830188679245283 | | totalSentences | 159 | | uniqueOpeners | 45 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 127 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 23 | | totalSentences | 127 | | matches | | 0 | "She left no mark in" | | 1 | "Her right hand brushed the" | | 2 | "It hung vertical in the" | | 3 | "She had seen nothing like" | | 4 | "Her vision snagged on it" | | 5 | "Her bright blue eyes watered" | | 6 | "She stepped forward and the" | | 7 | "Their form solidified, tall and" | | 8 | "They lifted a hand and" | | 9 | "Her shoulder-length black hair snagged" | | 10 | "She stepped deeper." | | 11 | "Their shadow-form rippled hard, edges" | | 12 | "It held sky." | | 13 | "Her feet made no print" | | 14 | "Their long shadow spilled over" | | 15 | "They extended a hand over" | | 16 | "She leaned over the water" | | 17 | "She lifted the pendant over" | | 18 | "She watched the thread hold," | | 19 | "Her cool head counted possibilities," |
| | ratio | 0.181 | |
| 26.93% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 110 | | totalSentences | 127 | | matches | | 0 | "The wind cut through Richmond" | | 1 | "Aurora pulled her collar up" | | 2 | "The path had ended ten" | | 3 | "The trees ahead grew too" | | 4 | "Isolde stood at the edge" | | 5 | "She left no mark in" | | 6 | "Nyx unfolded from Aurora's right." | | 7 | "Violet caught in the depth" | | 8 | "Isolde inclined her head." | | 9 | "A smile touched her mouth" | | 10 | "Aurora's left hand found the" | | 11 | "The Heartstone lay thumbnail-small against" | | 12 | "Her right hand brushed the" | | 13 | "The Fae blade Isolde had" | | 14 | "Moonsilver leaf-shaped thing, too light" | | 15 | "Isolde did not walk." | | 16 | "Moss capped their roots." | | 17 | "The air between them shivered." | | 18 | "Aurora stared at that shimmer." | | 19 | "It hung vertical in the" |
| | ratio | 0.866 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 127 | | matches | (empty) | | ratio | 0 | |
| 71.43% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 50 | | technicalSentenceCount | 5 | | matches | | 0 | "The trees ahead grew too close together, oak and hawthorn knotted at the root, their branches knit into a wall that had no business existing in the middle of a …" | | 1 | "Aurora stumbled onto moss that had no right to be so thick, so green, so warm underfoot in December." | | 2 | "Bluebells and foxgloves and flowers Aurora had no name for, white starbursts with throats of gold, all in bloom at once, all open to a light that was not sunlig…" | | 3 | "The oak standing stones ringed it in a loose circle, each stone taller inside than it had appeared outside, each carved with spirals that caught the light and m…" | | 4 | "Their long shadow spilled over the white stones and stretched, thin and then thick again, as if the light could not decide what to do with them." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |