| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 28 | | tagDensity | 0.536 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 91.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1111 | | 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) | |
| 36.99% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1111 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "rhythmic" | | 1 | "mechanical" | | 2 | "shattered" | | 3 | "amidst" | | 4 | "echoing" | | 5 | "pristine" | | 6 | "footfall" | | 7 | "gloom" | | 8 | "flicker" | | 9 | "etched" | | 10 | "pulse" | | 11 | "tinged" | | 12 | "determined" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "clenched jaw/fists" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 2 | | narrationSentences | 69 | | matches | | 0 | "looked nervous" | | 1 | "d with awe" |
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| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 69 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 82 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 55 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1108 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 68.14% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 37 | | wordCount | 794 | | uniqueNames | 13 | | maxNameDensity | 1.64 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Camden | 2 | | Harlow | 1 | | Quinn | 13 | | Tube | 2 | | Veil | 1 | | Market | 1 | | Metropolitan | 1 | | Police | 1 | | Miller | 7 | | Eva | 5 | | Kowalski | 1 | | Morris | 1 | | London | 1 |
| | persons | | 0 | "Camden" | | 1 | "Harlow" | | 2 | "Quinn" | | 3 | "Police" | | 4 | "Miller" | | 5 | "Eva" | | 6 | "Kowalski" | | 7 | "Morris" |
| | places | | | globalScore | 0.681 | | windowScore | 0.833 | |
| 8.49% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 53 | | glossingSentenceCount | 3 | | matches | | 0 | "as if orbiting an invisible drain" | | 1 | "ite, the cells seemingly erased from existen" | | 2 | "sigils that seemed to pulse with a faint, rhythmic light" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.903 | | wordCount | 1108 | | matches | | 0 | "not toward the exit, but straight up toward the ceiling of the Tube station, toward t" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 82 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 33 | | mean | 33.58 | | std | 23.05 | | cv | 0.687 | | sampleLengths | | 0 | 90 | | 1 | 45 | | 2 | 52 | | 3 | 45 | | 4 | 65 | | 5 | 25 | | 6 | 42 | | 7 | 12 | | 8 | 10 | | 9 | 56 | | 10 | 45 | | 11 | 7 | | 12 | 23 | | 13 | 7 | | 14 | 14 | | 15 | 7 | | 16 | 73 | | 17 | 14 | | 18 | 32 | | 19 | 72 | | 20 | 21 | | 21 | 66 | | 22 | 24 | | 23 | 33 | | 24 | 9 | | 25 | 35 | | 26 | 47 | | 27 | 61 | | 28 | 19 | | 29 | 9 | | 30 | 1 | | 31 | 26 | | 32 | 21 |
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| 90.01% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 69 | | matches | | 0 | "were cauterized" | | 1 | "was bleached" | | 2 | "was etched" |
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| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 7 | | totalVerbs | 134 | | matches | | 0 | "was currently gesturing" | | 1 | "wasn't behaving" | | 2 | "was swirling" | | 3 | "was staring" | | 4 | "was vibrating" | | 5 | "wasn't spinning" | | 6 | "was still talking" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 5 | | flaggedSentences | 7 | | totalSentences | 82 | | ratio | 0.085 | | matches | | 0 | "She didn't look at the flickering lanterns or the hooded figures retreating into the shadows of the vaulted ceiling; she looked at her wrist." | | 1 | "The wound in the chest wasn't a slice; it was a void." | | 2 | "The edges of the fabric and flesh weren't torn—they were cauterized, but not by heat." | | 3 | "Quinn didn't turn around; she recognized the cadence." | | 4 | "\"It's a rift-tear. Someone didn't stab him; they opened a momentary aperture to a lower plane and pulled it through his sternum. The obsidian shard is a red herring—likely dropped by a witness or placed there to mislead someone who thinks in three dimensions.\"" | | 5 | "It wasn't spinning aimlessly; it was vibrating violently, pointing not toward the exit, but straight up toward the ceiling of the Tube station, toward the streets of Camden above." | | 6 | "She thought of the way he had vanished three years ago—the empty car, the open door, the total absence of a struggle." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 799 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 16 | | adverbRatio | 0.02002503128911139 | | lyAdverbCount | 13 | | lyAdverbRatio | 0.016270337922403004 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 82 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 82 | | mean | 13.51 | | std | 8.76 | | cv | 0.648 | | sampleLengths | | 0 | 21 | | 1 | 23 | | 2 | 24 | | 3 | 22 | | 4 | 25 | | 5 | 20 | | 6 | 12 | | 7 | 18 | | 8 | 22 | | 9 | 10 | | 10 | 18 | | 11 | 17 | | 12 | 11 | | 13 | 54 | | 14 | 3 | | 15 | 9 | | 16 | 7 | | 17 | 6 | | 18 | 15 | | 19 | 15 | | 20 | 12 | | 21 | 12 | | 22 | 10 | | 23 | 6 | | 24 | 6 | | 25 | 15 | | 26 | 13 | | 27 | 16 | | 28 | 7 | | 29 | 12 | | 30 | 15 | | 31 | 11 | | 32 | 7 | | 33 | 12 | | 34 | 11 | | 35 | 7 | | 36 | 6 | | 37 | 8 | | 38 | 7 | | 39 | 20 | | 40 | 28 | | 41 | 25 | | 42 | 9 | | 43 | 5 | | 44 | 16 | | 45 | 16 | | 46 | 10 | | 47 | 12 | | 48 | 6 | | 49 | 44 |
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| 55.69% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.4146341463414634 | | totalSentences | 82 | | uniqueOpeners | 34 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 62 | | matches | | 0 | "Instead, she looked at the" | | 1 | "Instead of flowing toward the" |
| | ratio | 0.032 | |
| 84.52% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 21 | | totalSentences | 62 | | matches | | 0 | "She didn't look at the" | | 1 | "She had used a bone" | | 2 | "He was middle-aged, dressed in" | | 3 | "He was a good cop," | | 4 | "He was currently gesturing toward" | | 5 | "She knelt beside the body," | | 6 | "She didn't look at the" | | 7 | "It moved in slow, concentric" | | 8 | "She pointed to the man’s" | | 9 | "She wore round glasses that" | | 10 | "She looked nervous, her fingers" | | 11 | "She didn't touch the victim," | | 12 | "She was staring at the" | | 13 | "She reached down and carefully" | | 14 | "It was heavy, coated in" | | 15 | "It wasn't spinning aimlessly; it" | | 16 | "She thought of DS Morris." | | 17 | "She thought of the way" | | 18 | "She gripped the brass compass," | | 19 | "she said, her gaze fixed" |
| | ratio | 0.339 | |
| 24.52% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 54 | | totalSentences | 62 | | matches | | 0 | "The air beneath Camden smelled" | | 1 | "Detective Harlow Quinn stepped off" | | 2 | "She didn't look at the" | | 3 | "The worn leather strap of" | | 4 | "She had used a bone" | | 5 | "The crime scene was a" | | 6 | "He was middle-aged, dressed in" | | 7 | "He was a good cop," | | 8 | "He was currently gesturing toward" | | 9 | "Miller said, his voice echoing" | | 10 | "Quinn didn't answer." | | 11 | "She knelt beside the body," | | 12 | "She didn't look at the" | | 13 | "The pool surrounding the man" | | 14 | "It moved in slow, concentric" | | 15 | "Quinn said, her voice low" | | 16 | "She pointed to the man’s" | | 17 | "The fingernails were clean, no" | | 18 | "The suit jacket was pristine," | | 19 | "Quinn leaned closer, her brown" |
| | ratio | 0.871 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 62 | | matches | | 0 | "Now, she stood at the" | | 1 | "Now, standing in the bowels" |
| | ratio | 0.032 | |
| 37.82% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 34 | | technicalSentenceCount | 5 | | matches | | 0 | "The air beneath Camden smelled of ozone and wet limestone, a cloying dampness that clung to the back of the throat." | | 1 | "He was middle-aged, dressed in a bespoke charcoal suit that looked absurdly out of place amidst the occult detritus of the market." | | 2 | "It moved in slow, concentric circles, as if orbiting an invisible drain." | | 3 | "It was heavy, coated in a thick patina of verdigris that gave it a sickly green hue." | | 4 | "The face of the device was etched with protective sigils that seemed to pulse with a faint, rhythmic light." |
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| 25.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 3 | | matches | | 0 | "Miller said, his voice echoing in the cavernous space" | | 1 | "Quinn said, her voice low and precise" | | 2 | "Quinn said, her voice cutting through his rambling" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 14 | | fancyCount | 5 | | fancyTags | | 0 | "she murmured (murmur)" | | 1 | "Miller suggested (suggest)" | | 2 | "Miller demanded (demand)" | | 3 | "she whispered (whisper)" | | 4 | "Eva breathed (breathe)" |
| | dialogueSentences | 28 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0.357 | | effectiveRatio | 0.357 | |