| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 2 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 85.78% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1055 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "softly" | | 1 | "gently" | | 2 | "slightly" |
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| 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1055 | | totalAiIsms | 30 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | word | "down her spine" | | count | 1 |
| | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | | | 21 | | | 22 | |
| | highlights | | 0 | "pulsed" | | 1 | "reminder" | | 2 | "loomed" | | 3 | "pounding" | | 4 | "sentinel" | | 5 | "imposing" | | 6 | "intricate" | | 7 | "resonated" | | 8 | "traced" | | 9 | "down her spine" | | 10 | "sense of" | | 11 | "footsteps" | | 12 | "flickered" | | 13 | "raced" | | 14 | "dancing" | | 15 | "pulse" | | 16 | "quickened" | | 17 | "cacophony" | | 18 | "could feel" | | 19 | "oppressive" | | 20 | "weight" | | 21 | "warmth" | | 22 | "familiar" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "shiver down spine" | | count | 1 |
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| | highlights | | 0 | "a shiver ran down her spine" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 2 | | narrationSentences | 72 | | matches | | 0 | "e with dread" | | 1 | "a surge of warmth" |
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| 3.97% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 7 | | narrationSentences | 72 | | filterMatches | (empty) | | hedgeMatches | | |
| 93.87% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 72 | | gibberishSentences | 1 | | adjustedGibberishSentences | 1 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 35 | | ratio | 0.014 | | matches | | 0 | "They followed her, their whispers growing louder, a cacophony of voices that spoke of古老的秘密和被遗忘的诅咒。Rory's breathing was ragged, and her legs burned with the effort." |
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| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1054 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 92.86% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 25 | | wordCount | 1050 | | uniqueNames | 8 | | maxNameDensity | 1.14 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Carter | 1 | | Rory | 12 | | Richmond | 2 | | Park | 2 | | Heartstone | 1 | | Pendant | 1 | | Fae | 3 | | Grove | 3 |
| | persons | | 0 | "Carter" | | 1 | "Rory" | | 2 | "Pendant" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Fae" | | 3 | "Grove" |
| | globalScore | 0.929 | | windowScore | 1 | |
| 76.47% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 68 | | glossingSentenceCount | 2 | | matches | | 0 | "light that seemed to come from everywhere and nowhere" | | 1 | "seemed unchanged" |
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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 | 1054 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 72 | | matches | | |
| 56.41% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 18 | | mean | 58.56 | | std | 20.34 | | cv | 0.347 | | sampleLengths | | 0 | 92 | | 1 | 66 | | 2 | 67 | | 3 | 63 | | 4 | 59 | | 5 | 65 | | 6 | 70 | | 7 | 63 | | 8 | 13 | | 9 | 63 | | 10 | 8 | | 11 | 79 | | 12 | 73 | | 13 | 63 | | 14 | 68 | | 15 | 53 | | 16 | 54 | | 17 | 35 |
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| 90.64% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 72 | | matches | | 0 | "was obscured" | | 1 | "was gone" | | 2 | "was hidden" |
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| 83.72% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 172 | | matches | | 0 | "was breathing" | | 1 | "were walking" | | 2 | "were mirroring" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 72 | | ratio | 0.014 | | matches | | 0 | "It was a place where time moved differently, where the veil between worlds was thin—dangerously so." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1052 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 33 | | adverbRatio | 0.03136882129277566 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.010456273764258554 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 72 | | echoCount | 0 | | echoWords | (empty) | |
| 91.34% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 72 | | mean | 14.64 | | std | 5.54 | | cv | 0.378 | | sampleLengths | | 0 | 19 | | 1 | 15 | | 2 | 23 | | 3 | 22 | | 4 | 13 | | 5 | 5 | | 6 | 18 | | 7 | 16 | | 8 | 27 | | 9 | 15 | | 10 | 16 | | 11 | 5 | | 12 | 16 | | 13 | 15 | | 14 | 10 | | 15 | 19 | | 16 | 10 | | 17 | 15 | | 18 | 9 | | 19 | 19 | | 20 | 13 | | 21 | 6 | | 22 | 21 | | 23 | 16 | | 24 | 16 | | 25 | 11 | | 26 | 2 | | 27 | 6 | | 28 | 14 | | 29 | 9 | | 30 | 9 | | 31 | 12 | | 32 | 11 | | 33 | 12 | | 34 | 17 | | 35 | 17 | | 36 | 11 | | 37 | 13 | | 38 | 9 | | 39 | 13 | | 40 | 13 | | 41 | 18 | | 42 | 18 | | 43 | 9 | | 44 | 18 | | 45 | 8 | | 46 | 13 | | 47 | 7 | | 48 | 17 | | 49 | 14 |
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| 37.50% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.2361111111111111 | | totalSentences | 72 | | uniqueOpeners | 17 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 71 | | matches | (empty) | | ratio | 0 | |
| 62.25% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 28 | | totalSentences | 71 | | matches | | 0 | "She wrapped her leather jacket" | | 1 | "It pulsed gently, a reminder" | | 2 | "It was a place where" | | 3 | "She had come alone, driven" | | 4 | "They stood sentinel, silent and" | | 5 | "She stepped closer, her eyes" | | 6 | "She stepped through the boundary," | | 7 | "She pulled her phone from" | | 8 | "She should have expected as" | | 9 | "She tucked it away and" | | 10 | "Her eyes darted around, but" | | 11 | "She took a deep breath" | | 12 | "She couldn't pinpoint the source," | | 13 | "She knew she should leave," | | 14 | "She reached up to touch" | | 15 | "Her heart raced, and she" | | 16 | "she demanded, trying to sound" | | 17 | "She turned to leave, but" | | 18 | "It was tall and imposing," | | 19 | "It didn't move, but it" |
| | ratio | 0.394 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 66 | | totalSentences | 71 | | matches | | 0 | "Aurora Carter, known as Rory" | | 1 | "The night was cold, the" | | 2 | "She wrapped her leather jacket" | | 3 | "The Heartstone Pendant, a gift" | | 4 | "It pulsed gently, a reminder" | | 5 | "Rory had heard the whispers." | | 6 | "The rumors of the Fae" | | 7 | "It was a place where" | | 8 | "She had come alone, driven" | | 9 | "The path curved, and the" | | 10 | "The air grew thicker, heavy" | | 11 | "Rory paused, her heart pounding." | | 12 | "The standing stones came into" | | 13 | "They stood sentinel, silent and" | | 14 | "She stepped closer, her eyes" | | 15 | "The stones seemed to hum" | | 16 | "The pendant at her throat" | | 17 | "Rory's fingers traced the edge" | | 18 | "She stepped through the boundary," | | 19 | "The clearing was a world" |
| | ratio | 0.93 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 71 | | matches | (empty) | | ratio | 0 | |
| 92.73% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 57 | | technicalSentenceCount | 4 | | matches | | 0 | "The air grew thicker, heavy with a scent of wildflowers that bloomed year-round in this place." | | 1 | "The whispering didn't answer, but the air around her grew heavier, as if the grove itself was breathing." | | 2 | "They followed her, their whispers growing louder, a cacophony of voices that spoke of古老的秘密和被遗忘的诅咒。Rory's breathing was ragged, and her legs burned with the effo…" | | 3 | "Rory stood there for a moment, her heart pounding, her breath coming in ragged gasps." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 2 | | matches | | 0 | "Rory called, her voice steady despite the growing fear inside her" | | 1 | "she demanded, trying to sound brave" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 2 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0.5 | | effectiveRatio | 0.5 | |