| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 7 | | adverbTagCount | 1 | | adverbTags | | 0 | "she said slowly [slowly]" |
| | dialogueSentences | 29 | | tagDensity | 0.241 | | leniency | 0.483 | | rawRatio | 0.143 | | effectiveRatio | 0.069 | |
| 95.09% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1019 | | totalAiIsmAdverbs | 1 | | 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) | |
| 26.40% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1019 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "glinting" | | 1 | "fluttered" | | 2 | "familiar" | | 3 | "glistening" | | 4 | "porcelain" | | 5 | "pulsed" | | 6 | "sense of" | | 7 | "trembled" | | 8 | "etched" | | 9 | "lurched" | | 10 | "pristine" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 0 | | maxInWindow | 0 | | found | (empty) | | highlights | (empty) | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 118 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 0 | | narrationSentences | 118 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 140 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 26 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 1008 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 1 | | matches | | 0 | "Then, in a voice like rusted hinges, it spoke." |
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| 53.85% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 53 | | wordCount | 832 | | uniqueNames | 15 | | maxNameDensity | 1.92 | | worstName | "Eva" | | maxWindowNameDensity | 3 | | worstWindowName | "Eva" | | discoveredNames | | Harlow | 13 | | Quinn | 5 | | Tube | 2 | | Eva | 16 | | Kowalski | 1 | | Scene | 1 | | Crime | 1 | | Officers | 1 | | Morris | 2 | | Barnes | 5 | | Veil | 1 | | Compass | 1 | | Camden | 1 | | London | 2 | | North | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Eva" | | 3 | "Kowalski" | | 4 | "Scene" | | 5 | "Officers" | | 6 | "Morris" | | 7 | "Barnes" |
| | places | | | globalScore | 0.538 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 51 | | glossingSentenceCount | 1 | | matches | | 0 | "Something like ozone and burnt copper" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.992 | | wordCount | 1008 | | matches | | 0 | "not walking, but *floating*, suspended in a halo of black mist" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 140 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 52 | | mean | 19.38 | | std | 17.42 | | cv | 0.899 | | sampleLengths | | 0 | 97 | | 1 | 68 | | 2 | 18 | | 3 | 25 | | 4 | 56 | | 5 | 9 | | 6 | 22 | | 7 | 59 | | 8 | 26 | | 9 | 13 | | 10 | 31 | | 11 | 12 | | 12 | 7 | | 13 | 26 | | 14 | 34 | | 15 | 8 | | 16 | 8 | | 17 | 5 | | 18 | 7 | | 19 | 5 | | 20 | 10 | | 21 | 32 | | 22 | 4 | | 23 | 25 | | 24 | 9 | | 25 | 12 | | 26 | 16 | | 27 | 6 | | 28 | 12 | | 29 | 13 | | 30 | 9 | | 31 | 28 | | 32 | 18 | | 33 | 16 | | 34 | 7 | | 35 | 9 | | 36 | 17 | | 37 | 11 | | 38 | 7 | | 39 | 20 | | 40 | 31 | | 41 | 32 | | 42 | 19 | | 43 | 27 | | 44 | 11 | | 45 | 13 | | 46 | 13 | | 47 | 2 | | 48 | 8 | | 49 | 9 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 118 | | matches | | |
| 71.79% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 156 | | matches | | 0 | "were spinning" | | 1 | "was already backing" | | 2 | "was vibrating" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 0 | | flaggedSentences | 10 | | totalSentences | 140 | | ratio | 0.071 | | matches | | 0 | "A familiar dread coiled in her gut—three years since Morris had disappeared in a case gone wrong." | | 1 | "A gold chain glinted at the wrist—torn between sleeve and skin." | | 2 | "But what made her blood turn to frost was the scent clinging to the corpse—not death, not decay." | | 3 | "A pin glinted in the light—a silver raven, wings spread, clutching a crescent moon." | | 4 | "She reached into her coat and withdrew a small brass compass—the Veil Compass." | | 5 | "The tiled arches above pulsed, breathing, shifting—her mind rebelling, trying to make sense of flickering shadows that weren’t shadows at all." | | 6 | "A choked gasp escaped—dry, rasping, impossible." | | 7 | "A book slid out—leather-bound, pages yellowed, etched with sigils." | | 8 | "She reached for her radio—dead." | | 9 | "The platform trembled behind them, tiles shattering as the corpse followed—not walking, but *floating*, suspended in a halo of black mist." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 844 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 23 | | adverbRatio | 0.027251184834123223 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.0071090047393364926 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 140 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 140 | | mean | 7.2 | | std | 5.32 | | cv | 0.739 | | sampleLengths | | 0 | 26 | | 1 | 20 | | 2 | 23 | | 3 | 19 | | 4 | 9 | | 5 | 3 | | 6 | 18 | | 7 | 19 | | 8 | 17 | | 9 | 8 | | 10 | 3 | | 11 | 10 | | 12 | 5 | | 13 | 3 | | 14 | 15 | | 15 | 10 | | 16 | 7 | | 17 | 17 | | 18 | 19 | | 19 | 9 | | 20 | 4 | | 21 | 4 | | 22 | 5 | | 23 | 2 | | 24 | 6 | | 25 | 4 | | 26 | 4 | | 27 | 6 | | 28 | 8 | | 29 | 6 | | 30 | 4 | | 31 | 10 | | 32 | 10 | | 33 | 11 | | 34 | 4 | | 35 | 6 | | 36 | 18 | | 37 | 2 | | 38 | 6 | | 39 | 8 | | 40 | 5 | | 41 | 3 | | 42 | 5 | | 43 | 14 | | 44 | 2 | | 45 | 7 | | 46 | 6 | | 47 | 6 | | 48 | 5 | | 49 | 2 |
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| 42.62% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.30714285714285716 | | totalSentences | 140 | | uniqueOpeners | 43 | |
| 96.15% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 104 | | matches | | 0 | "Too soon for that." | | 1 | "Then she noticed the wristwatch." | | 2 | "Then, in a voice like" |
| | ratio | 0.029 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 21 | | totalSentences | 104 | | matches | | 0 | "Her boots struck the cracked" | | 1 | "She didn’t need their pity." | | 2 | "She needed answers." | | 3 | "It was the eyes." | | 4 | "She pulled on nitrile gloves," | | 5 | "She lifted the arm." | | 6 | "She flipped the victim’s lapel." | | 7 | "She reached into her coat" | | 8 | "It had been a gift" | | 9 | "She set it on the" | | 10 | "She glanced up at the" | | 11 | "Her watch had stopped." | | 12 | "She fumbled with the clasp." | | 13 | "Its suit was pristine now." | | 14 | "She reached for her radio—dead." | | 15 | "she said slowly" | | 16 | "His eyes were black pits," | | 17 | "She grabbed Eva’s hand and" | | 18 | "They burst up the stairs" | | 19 | "Her fingers brushed metal." |
| | ratio | 0.202 | |
| 99.42% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 75 | | totalSentences | 104 | | matches | | 0 | "Detective Harlow Quinn descended the" | | 1 | "The Tube station hadn’t seen" | | 2 | "Eva muttered, tucking a curl" | | 3 | "Harlow didn’t answer." | | 4 | "Her boots struck the cracked" | | 5 | "A familiar dread coiled in" | | 6 | "A case full of half-truths" | | 7 | "The detectives parted wordlessly as" | | 8 | "She didn’t need their pity." | | 9 | "She needed answers." | | 10 | "Harlow ignored the insinuation and" | | 11 | "The body was soaked in" | | 12 | "It was the eyes." | | 13 | "Eva gasped beside her." | | 14 | "Harlow knelt, her knee pressing" | | 15 | "She pulled on nitrile gloves," | | 16 | "The victim wore a tailored" | | 17 | "A gold chain glinted at" | | 18 | "She lifted the arm." | | 19 | "The hand was ice cold," |
| | ratio | 0.721 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 104 | | matches | (empty) | | ratio | 0 | |
| 80.75% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 23 | | technicalSentenceCount | 2 | | matches | | 0 | "The body was soaked in blackened blood that hadn’t quite dried, its edges glistening under the crime scene lights." | | 1 | "The tiled arches above pulsed, breathing, shifting—her mind rebelling, trying to make sense of flickering shadows that weren’t shadows at all." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 7 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 46.55% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 3 | | fancyTags | | 0 | "Eva muttered (mutter)" | | 1 | "Eva whispered (whisper)" | | 2 | "Eva whispered (whisper)" |
| | dialogueSentences | 29 | | tagDensity | 0.241 | | leniency | 0.483 | | rawRatio | 0.429 | | effectiveRatio | 0.207 | |