| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 3 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 79.22% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1684 | | totalAiIsmAdverbs | 7 | | found | | | highlights | | 0 | "utterly" | | 1 | "slowly" | | 2 | "very" | | 3 | "truly" | | 4 | "suddenly" |
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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) | |
| 7.96% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1684 | | totalAiIsms | 31 | | found | | | highlights | | 0 | "pulsed" | | 1 | "footsteps" | | 2 | "whisper" | | 3 | "pulse" | | 4 | "quickened" | | 5 | "echo" | | 6 | "resonance" | | 7 | "weight" | | 8 | "searing" | | 9 | "silence" | | 10 | "throb" | | 11 | "predator" | | 12 | "could feel" | | 13 | "perfect" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 171 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 171 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 172 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 48 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1672 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 43 | | wordCount | 1668 | | uniqueNames | 14 | | maxNameDensity | 0.84 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | London | 3 | | Rory | 14 | | Grove | 6 | | Heartstone | 5 | | Golden | 1 | | Empress | 1 | | Evan | 1 | | Richmond | 3 | | Park | 2 | | Ridiculous | 1 | | Jennifer | 1 | | Carter | 1 | | English | 1 | | Like | 3 |
| | persons | | 0 | "Rory" | | 1 | "Grove" | | 2 | "Heartstone" | | 3 | "Empress" | | 4 | "Evan" | | 5 | "Jennifer" | | 6 | "Carter" | | 7 | "Like" |
| | places | | 0 | "London" | | 1 | "Golden" | | 2 | "Richmond" | | 3 | "Park" |
| | globalScore | 1 | | windowScore | 1 | |
| 97.37% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 95 | | glossingSentenceCount | 2 | | matches | | 0 | "insects that seemed to come from everywhere and nowhere at once" | | 1 | "seemed thicker" |
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| 80.38% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.196 | | wordCount | 1672 | | matches | | 0 | "Not the absence of light, but the presence of something else" | | 1 | "not empty but hungry" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 172 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 43 | | mean | 38.88 | | std | 29.07 | | cv | 0.748 | | sampleLengths | | 0 | 17 | | 1 | 110 | | 2 | 39 | | 3 | 85 | | 4 | 56 | | 5 | 21 | | 6 | 5 | | 7 | 73 | | 8 | 64 | | 9 | 24 | | 10 | 51 | | 11 | 3 | | 12 | 49 | | 13 | 5 | | 14 | 7 | | 15 | 46 | | 16 | 55 | | 17 | 52 | | 18 | 4 | | 19 | 39 | | 20 | 15 | | 21 | 3 | | 22 | 72 | | 23 | 61 | | 24 | 47 | | 25 | 3 | | 26 | 54 | | 27 | 92 | | 28 | 6 | | 29 | 72 | | 30 | 1 | | 31 | 83 | | 32 | 3 | | 33 | 66 | | 34 | 5 | | 35 | 56 | | 36 | 57 | | 37 | 47 | | 38 | 46 | | 39 | 10 | | 40 | 41 | | 41 | 19 | | 42 | 8 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 171 | | matches | | |
| 12.21% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 8 | | totalVerbs | 284 | | matches | | 0 | "were blooming" | | 1 | "was looking" | | 2 | "were telling" | | 3 | "was practically vibrating" | | 4 | "were slowly becoming" | | 5 | "was burning" | | 6 | "was running" | | 7 | "were shaking" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 12 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 172 | | ratio | 0.052 | | matches | | 0 | "By the second night she was half-mad with it, and when the pulling sensation began—a certainty that something waited for her in Richmond Park—she had pulled on her jacket and gone." | | 1 | "Richmond Park should have been full of sound—the distant hum of the city, the rustle of nocturnal creatures, the whisper of wind through the oaks." | | 2 | "The Heartstone's rhythm was not—it stumbled and staggered like a bird throwing itself against glass." | | 3 | "She had expected something to be different, something obvious—a tear in the air, a figure waiting for her, a sign." | | 4 | "But the sound had been real—a soft displacement, like a footstep on wet ground." | | 5 | "But for a moment—just a moment—she had felt something against her ankle." | | 6 | "Her scar—thin and white and crescent-shaped—stood out against the red glow of the stone, and she thought absurdly of her mother, of the evening she had fallen from the garden wall and Jennifer Carter had held her and told her it would be all right." | | 7 | "The shadows had drawn near enough that she could see them clearly—too clearly." | | 8 | "The sound tore from her throat and hung in the air, refusing to fade, and for one terrible moment she saw the faces inside the darkness—beautiful and terrible and hungry, so hungry—and then the Heartstone flared." |
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| 98.65% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1685 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 70 | | adverbRatio | 0.04154302670623145 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.007121661721068249 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 172 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 172 | | mean | 9.72 | | std | 8.73 | | cv | 0.898 | | sampleLengths | | 0 | 17 | | 1 | 13 | | 2 | 25 | | 3 | 41 | | 4 | 31 | | 5 | 8 | | 6 | 13 | | 7 | 10 | | 8 | 2 | | 9 | 6 | | 10 | 6 | | 11 | 18 | | 12 | 9 | | 13 | 2 | | 14 | 25 | | 15 | 4 | | 16 | 21 | | 17 | 15 | | 18 | 17 | | 19 | 4 | | 20 | 5 | | 21 | 15 | | 22 | 3 | | 23 | 7 | | 24 | 2 | | 25 | 2 | | 26 | 5 | | 27 | 2 | | 28 | 5 | | 29 | 7 | | 30 | 19 | | 31 | 7 | | 32 | 12 | | 33 | 16 | | 34 | 4 | | 35 | 8 | | 36 | 8 | | 37 | 9 | | 38 | 2 | | 39 | 2 | | 40 | 12 | | 41 | 20 | | 42 | 11 | | 43 | 2 | | 44 | 2 | | 45 | 5 | | 46 | 5 | | 47 | 10 | | 48 | 4 | | 49 | 11 |
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| 33.72% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 28 | | diversityRatio | 0.27906976744186046 | | totalSentences | 172 | | uniqueOpeners | 48 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 7 | | totalSentences | 150 | | matches | | 0 | "Instead there was nothing." | | 1 | "Just her breath, her heartbeat," | | 2 | "Just the word, swallowed whole." | | 3 | "Instead there was only the" | | 4 | "No longer stumbling." | | 5 | "Just flowers and grass and" | | 6 | "Just the frantic rhythm of" |
| | ratio | 0.047 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 45 | | totalSentences | 150 | | matches | | 0 | "She had come to the" | | 1 | "She had ignored it through" | | 2 | "She had told herself it" | | 3 | "It was hot against her" | | 4 | "She counted the beats." | | 5 | "Her own heart was steady." | | 6 | "Her voice fell dead in" | | 7 | "She stepped between the stones." | | 8 | "She did not know what" | | 9 | "She had expected something to" | | 10 | "They were too dark." | | 11 | "It hung beneath the branches" | | 12 | "She took a step back." | | 13 | "Her voice was small" | | 14 | "She thought of calling out" | | 15 | "She reached for her phone." | | 16 | "Her pocket was empty." | | 17 | "She patted her jacket, her" | | 18 | "She had had it on" | | 19 | "She had checked the time" |
| | ratio | 0.3 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 103 | | totalSentences | 150 | | matches | | 0 | "The standing stones rose black" | | 1 | "She had come to the" | | 2 | "She had ignored it through" | | 3 | "The tube had been empty" | | 4 | "The walk through Richmond's darkened" | | 5 | "She had told herself it" | | 6 | "London slept, in its fitful" | | 7 | "The wildflowers were blooming, as" | | 8 | "The air was warm and" | | 9 | "Richmond Park should have been" | | 10 | "Rory stopped at the boundary" | | 11 | "It was hot against her" | | 12 | "She counted the beats." | | 13 | "Her own heart was steady." | | 14 | "The Heartstone's rhythm was not—it" | | 15 | "Her voice fell dead in" | | 16 | "She stepped between the stones." | | 17 | "The clearing looked as it" | | 18 | "Wildflowers carpeted the ground in" | | 19 | "The grass was soft beneath" |
| | ratio | 0.687 | |
| 66.67% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 150 | | matches | | 0 | "To bring her here." | | 1 | "To offer her up." |
| | ratio | 0.013 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 65 | | technicalSentenceCount | 3 | | matches | | 0 | "The gemstone was practically vibrating now, its heat searing through her shirt, and the rhythm had changed again." | | 1 | "Just the frantic rhythm of her own pulse and the answering throb of the pendant, two heartbeats that were slowly becoming one." | | 2 | "Slow and even and deep, like something vast and patient filling lungs that should not exist." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | 0 | "she whispered (whisper)" |
| | dialogueSentences | 3 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 1 | | effectiveRatio | 0.667 | |