| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 21 | | tagDensity | 0.429 | | leniency | 0.857 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 82.05% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1114 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "slightly" | | 1 | "sweetly" | | 2 | "lightly" |
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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 | 1114 | | totalAiIsms | 31 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | | | 21 | | | 22 | | | 23 | | | 24 | | | 25 | | | 26 | | | 27 | |
| | highlights | | 0 | "kaleidoscope" | | 1 | "navigated" | | 2 | "pulse" | | 3 | "echo" | | 4 | "footsteps" | | 5 | "could feel" | | 6 | "weight" | | 7 | "sinister" | | 8 | "silence" | | 9 | "oppressive" | | 10 | "raced" | | 11 | "scanned" | | 12 | "tension" | | 13 | "anticipation" | | 14 | "racing" | | 15 | "pounding" | | 16 | "loomed" | | 17 | "glint" | | 18 | "flicked" | | 19 | "eyebrow" | | 20 | "flickered" | | 21 | "quickened" | | 22 | "depths" | | 23 | "furrowed" | | 24 | "pawn" | | 25 | "reminder" | | 26 | "resolve" | | 27 | "determined" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "weight of words/silence" | | count | 1 |
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| | highlights | | 0 | "the weight of his words" |
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| 99.75% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 2 | | narrationSentences | 66 | | matches | | 0 | "t in determination" | | 1 | "e with panic" |
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| 99.57% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 66 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 78 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1107 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 73.08% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 17 | | wordCount | 910 | | uniqueNames | 4 | | maxNameDensity | 1.54 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Soho | 1 | | Harlow | 1 | | Quinn | 14 | | Silence | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Silence" |
| | places | | | globalScore | 0.731 | | windowScore | 0.833 | |
| 20.69% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 58 | | glossingSentenceCount | 3 | | matches | | 0 | "graffiti that seemed to shift and writhe in the dim light" | | 1 | "looked like it had seen better days" | | 2 | "quite place" |
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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 | 1107 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 78 | | matches | (empty) | |
| 87.28% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 26 | | mean | 42.58 | | std | 19.39 | | cv | 0.455 | | sampleLengths | | 0 | 79 | | 1 | 55 | | 2 | 69 | | 3 | 53 | | 4 | 62 | | 5 | 58 | | 6 | 49 | | 7 | 66 | | 8 | 63 | | 9 | 42 | | 10 | 48 | | 11 | 36 | | 12 | 19 | | 13 | 36 | | 14 | 49 | | 15 | 11 | | 16 | 28 | | 17 | 6 | | 18 | 39 | | 19 | 48 | | 20 | 10 | | 21 | 29 | | 22 | 53 | | 23 | 15 | | 24 | 27 | | 25 | 57 |
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| 84.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 66 | | matches | | 0 | "was connected" | | 1 | "was filled" | | 2 | "were rewritten" | | 3 | "was determined" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 147 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 78 | | ratio | 0.051 | | matches | | 0 | "The figure ahead—a shadowy silhouette—glanced back, eyes wide with panic." | | 1 | "She could feel it—the tension in the air, the anticipation of something lurking just beyond her sight." | | 2 | "Then, a sound—a scuffle, a muffled curse." | | 3 | "Quinn’s gaze flicked around the room, taking in the patrons—an eclectic mix of humans and something else, something she couldn’t quite place." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 916 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 22 | | adverbRatio | 0.024017467248908297 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.008733624454148471 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 78 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 78 | | mean | 14.19 | | std | 6.49 | | cv | 0.457 | | sampleLengths | | 0 | 20 | | 1 | 17 | | 2 | 15 | | 3 | 27 | | 4 | 9 | | 5 | 10 | | 6 | 19 | | 7 | 17 | | 8 | 14 | | 9 | 12 | | 10 | 25 | | 11 | 18 | | 12 | 13 | | 13 | 10 | | 14 | 13 | | 15 | 17 | | 16 | 6 | | 17 | 11 | | 18 | 17 | | 19 | 11 | | 20 | 17 | | 21 | 7 | | 22 | 14 | | 23 | 24 | | 24 | 13 | | 25 | 7 | | 26 | 12 | | 27 | 23 | | 28 | 7 | | 29 | 10 | | 30 | 14 | | 31 | 14 | | 32 | 28 | | 33 | 14 | | 34 | 17 | | 35 | 8 | | 36 | 24 | | 37 | 12 | | 38 | 21 | | 39 | 9 | | 40 | 22 | | 41 | 10 | | 42 | 9 | | 43 | 7 | | 44 | 14 | | 45 | 22 | | 46 | 3 | | 47 | 16 | | 48 | 16 | | 49 | 20 |
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| 47.44% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.2948717948717949 | | totalSentences | 78 | | uniqueOpeners | 23 | |
| 50.51% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 66 | | matches | | 0 | "Then, a sound—a scuffle, a" |
| | ratio | 0.015 | |
| 68.48% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 25 | | totalSentences | 66 | | matches | | 0 | "she shouted, her voice cutting" | | 1 | "He darted around a corner," | | 2 | "She could feel the weight" | | 3 | "She pulled her gun from" | | 4 | "she called, her voice steady" | | 5 | "She stepped deeper into the" | | 6 | "She could feel it—the tension" | | 7 | "It was an unmarked entrance," | | 8 | "she muttered, her mind racing" | | 9 | "She could let him escape," | | 10 | "He was connected to the" | | 11 | "She had to know what" | | 12 | "It was slightly ajar, the" | | 13 | "She could hear voices, low" | | 14 | "She stepped inside, her senses" | | 15 | "They watched her with a" | | 16 | "she said, her voice steady" | | 17 | "She had heard whispers of" | | 18 | "she replied, her voice firm" | | 19 | "he explained, his tone laced" |
| | ratio | 0.379 | |
| 13.03% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 59 | | totalSentences | 66 | | matches | | 0 | "The rain fell in sheets," | | 1 | "Detective Harlow Quinn pressed forward," | | 2 | "Each step sent a splash" | | 3 | "The city was alive with" | | 4 | "she shouted, her voice cutting" | | 5 | "The figure ahead—a shadowy silhouette—glanced" | | 6 | "Quinn’s instincts kicked in, and" | | 7 | "The suspect was fast, but" | | 8 | "He darted around a corner," | | 9 | "The streets were nearly empty," | | 10 | "She could feel the weight" | | 11 | "The suspect slipped into an" | | 12 | "The alley was dark, the" | | 13 | "Quinn hesitated, her instincts screaming" | | 14 | "She pulled her gun from" | | 15 | "she called, her voice steady" | | 16 | "Silence answered her, thick and" | | 17 | "She stepped deeper into the" | | 18 | "The walls were damp, covered" | | 19 | "Quinn’s heart raced as she" |
| | ratio | 0.894 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 66 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 48 | | technicalSentenceCount | 1 | | matches | | 0 | "The room was filled with mismatched furniture, old maps tacked to the walls, and a bar that looked like it had seen better days." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 7 | | matches | | 0 | "she shouted, her voice cutting through the downpour" | | 1 | "she called, her voice steady despite the adrenaline coursing through her veins" | | 2 | "she muttered, her mind racing" | | 3 | "she said, her voice steady" | | 4 | "she replied, her voice firm" | | 5 | "she asked, her resolve hardening" | | 6 | "she said, her voice steady" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 4 | | fancyTags | | 0 | "she shouted (shout)" | | 1 | "she muttered (mutter)" | | 2 | "a voice drawled (drawl)" | | 3 | "he explained (explain)" |
| | dialogueSentences | 21 | | tagDensity | 0.429 | | leniency | 0.857 | | rawRatio | 0.444 | | effectiveRatio | 0.381 | |