| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 1 | | adverbTags | | | dialogueSentences | 23 | | tagDensity | 0.522 | | leniency | 1 | | rawRatio | 0.083 | | effectiveRatio | 0.083 | |
| 89.84% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 984 | | 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 984 | | totalAiIsms | 30 | | found | | | highlights | | 0 | "scanning" | | 1 | "flickered" | | 2 | "raced" | | 3 | "footsteps" | | 4 | "echoing" | | 5 | "flicker" | | 6 | "charged" | | 7 | "echoed" | | 8 | "quickened" | | 9 | "pounding" | | 10 | "could feel" | | 11 | "pulse" | | 12 | "depths" | | 13 | "silence" | | 14 | "glinting" | | 15 | "weight" | | 16 | "familiar" |
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| 0.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 4 | | maxInWindow | 4 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
| | 1 | | label | "clenched jaw/fists" | | count | 1 |
| | 2 | | label | "hung in the air" | | count | 1 |
| | 3 | | label | "flicker of emotion" | | count | 1 |
|
| | highlights | | 0 | "eyes narrowed" | | 1 | "clenched her fists" | | 2 | "hung heavy in the air" | | 3 | "A flicker of doubt" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 76 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 76 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 87 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 980 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 47.09% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 26 | | wordCount | 826 | | uniqueNames | 8 | | maxNameDensity | 2.06 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Soho | 1 | | Harlow | 1 | | Quinn | 17 | | Raven | 1 | | Nest | 1 | | Tube | 1 | | Veil | 2 | | Market | 2 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Raven" | | 3 | "Nest" | | 4 | "Market" |
| | places | | | globalScore | 0.471 | | windowScore | 0.833 | |
| 69.35% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 62 | | glossingSentenceCount | 2 | | matches | | 0 | "quite place" | | 1 | "looked like it hadn’t seen a train in yea" |
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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 | 980 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 87 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 33 | | mean | 29.7 | | std | 15.02 | | cv | 0.506 | | sampleLengths | | 0 | 73 | | 1 | 45 | | 2 | 43 | | 3 | 50 | | 4 | 48 | | 5 | 49 | | 6 | 39 | | 7 | 27 | | 8 | 43 | | 9 | 37 | | 10 | 27 | | 11 | 14 | | 12 | 37 | | 13 | 14 | | 14 | 32 | | 15 | 10 | | 16 | 16 | | 17 | 25 | | 18 | 17 | | 19 | 22 | | 20 | 46 | | 21 | 10 | | 22 | 20 | | 23 | 8 | | 24 | 24 | | 25 | 33 | | 26 | 11 | | 27 | 26 | | 28 | 40 | | 29 | 11 | | 30 | 15 | | 31 | 34 | | 32 | 34 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 76 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 145 | | matches | | 0 | "were hiding" | | 1 | "was slipping" |
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| 44.33% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 1 | | flaggedSentences | 3 | | totalSentences | 87 | | ratio | 0.034 | | matches | | 0 | "She had lost too much already; she wouldn’t let this one slip away." | | 1 | "A sudden noise—a clatter of metal—echoed from ahead." | | 2 | "He held something in his hand—a small, bone-like token that glimmered in the low light." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 830 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 22 | | adverbRatio | 0.02650602409638554 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.004819277108433735 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 87 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 87 | | mean | 11.26 | | std | 5.18 | | cv | 0.46 | | sampleLengths | | 0 | 10 | | 1 | 21 | | 2 | 16 | | 3 | 26 | | 4 | 9 | | 5 | 3 | | 6 | 19 | | 7 | 14 | | 8 | 9 | | 9 | 13 | | 10 | 8 | | 11 | 13 | | 12 | 11 | | 13 | 10 | | 14 | 9 | | 15 | 12 | | 16 | 8 | | 17 | 11 | | 18 | 11 | | 19 | 11 | | 20 | 15 | | 21 | 8 | | 22 | 10 | | 23 | 15 | | 24 | 16 | | 25 | 19 | | 26 | 3 | | 27 | 17 | | 28 | 14 | | 29 | 13 | | 30 | 11 | | 31 | 15 | | 32 | 17 | | 33 | 8 | | 34 | 29 | | 35 | 10 | | 36 | 3 | | 37 | 14 | | 38 | 14 | | 39 | 8 | | 40 | 13 | | 41 | 16 | | 42 | 10 | | 43 | 4 | | 44 | 7 | | 45 | 10 | | 46 | 15 | | 47 | 10 | | 48 | 4 | | 49 | 12 |
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| 45.40% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.25287356321839083 | | totalSentences | 87 | | uniqueOpeners | 22 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 75 | | matches | (empty) | | ratio | 0 | |
| 33.33% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 35 | | totalSentences | 75 | | matches | | 0 | "She peered around the corner," | | 1 | "She pushed off the wall," | | 2 | "she shouted, her voice cutting" | | 3 | "She had lost too much" | | 4 | "She hesitated, the darkness ahead" | | 5 | "She had to know what" | | 6 | "She stepped into the alley," | | 7 | "She rounded a corner and" | | 8 | "She could feel the danger" | | 9 | "she called out, stepping closer" | | 10 | "She stepped onto the platform," | | 11 | "she muttered, scanning the darkness" | | 12 | "She moved forward, her hand" | | 13 | "she demanded, her voice steady" | | 14 | "She spotted a flicker of" | | 15 | "she shouted, her voice bouncing" | | 16 | "It was a man, his" | | 17 | "He held something in his" | | 18 | "he taunted, his voice smooth" | | 19 | "He chuckled, the sound echoing" |
| | ratio | 0.467 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 73 | | totalSentences | 75 | | matches | | 0 | "The rain fell in sheets," | | 1 | "Detective Harlow Quinn pressed her" | | 2 | "She peered around the corner," | | 3 | "The neon glow of The" | | 4 | "A figure darted past, a" | | 5 | "Quinn's heart raced." | | 6 | "She pushed off the wall," | | 7 | "The sound of her footsteps" | | 8 | "she shouted, her voice cutting" | | 9 | "The figure glanced back, eyes" | | 10 | "Quinn followed, her sharp jaw" | | 11 | "She had lost too much" | | 12 | "The suspect turned sharply, disappearing" | | 13 | "Quinn skidded to a halt," | | 14 | "She hesitated, the darkness ahead" | | 15 | "A flicker of doubt crossed" | | 16 | "She had to know what" | | 17 | "She stepped into the alley," | | 18 | "The air felt thick, charged" | | 19 | "Quinn moved cautiously, her instincts" |
| | ratio | 0.973 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 75 | | matches | (empty) | | ratio | 0 | |
| 91.84% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 42 | | technicalSentenceCount | 3 | | matches | | 0 | "The neon glow of The Raven's Nest flickered in the distance, casting an eerie light on the puddles that formed like small mirrors on the ground." | | 1 | "The suspect had vanished, but she could feel the pulse of something alive in the air, something that made the hairs on the back of her neck stand up." | | 2 | "He held something in his hand—a small, bone-like token that glimmered in the low light." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 8 | | matches | | 0 | "she shouted, her voice cutting through the night" | | 1 | "she demanded, her voice steady despite the unease creeping into her bones" | | 2 | "she shouted, her voice bouncing off the walls" | | 3 | "he taunted, his voice smooth and mocking" | | 4 | "she asked, her voice low" | | 5 | "he replied, his tone dripping with sarcasm" | | 6 | "she demanded, her voice firm" | | 7 | "she said, her voice steady" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 7 | | fancyTags | | 0 | "she shouted (shout)" | | 1 | "she called out (call out)" | | 2 | "she muttered (mutter)" | | 3 | "she demanded (demand)" | | 4 | "she shouted (shout)" | | 5 | "he taunted (taunt)" | | 6 | "she demanded (demand)" |
| | dialogueSentences | 23 | | tagDensity | 0.435 | | leniency | 0.87 | | rawRatio | 0.7 | | effectiveRatio | 0.609 | |