| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 36 | | tagDensity | 0.167 | | leniency | 0.333 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.74% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1174 | | 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) | |
| 36.12% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1174 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "glint" | | 1 | "etched" | | 2 | "magnetic" | | 3 | "chill" | | 4 | "scanning" | | 5 | "silence" | | 6 | "stomach" | | 7 | "pulse" | | 8 | "raced" | | 9 | "whisper" | | 10 | "echoed" | | 11 | "flickered" | | 12 | "shattered" | | 13 | "racing" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "blood ran cold" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 105 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 105 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 134 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 21 | | markdownWords | 34 | | totalWords | 1164 | | ratio | 0.029 | | matches | | 0 | "ghost" | | 1 | "seam" | | 2 | "peeled" | | 3 | "Taken" | | 4 | "us" | | 5 | "Bleeding shadows." | | 6 | "Something’s not right with the shadows tonight, Quinn. They’re moving wrong." | | 7 | "click" | | 8 | "sound" | | 9 | "out" | | 10 | "in" | | 11 | "summoning" | | 12 | "twitched" | | 13 | "shadows with teeth" | | 14 | "swarm" | | 15 | "shattered" | | 16 | "breathed" | | 17 | "floor" | | 18 | "unfolding" | | 19 | "now" | | 20 | "screamed" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 23.71% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 56 | | wordCount | 871 | | uniqueNames | 14 | | maxNameDensity | 2.53 | | worstName | "Quinn" | | maxWindowNameDensity | 4 | | worstWindowName | "Eva" | | discoveredNames | | Detective | 1 | | Harlow | 1 | | Quinn | 22 | | Tube | 1 | | Camden | 2 | | Eva | 20 | | Kowalski | 1 | | Veil | 1 | | Market | 1 | | Morris | 2 | | Greek | 1 | | Ouroboros | 1 | | Serpent | 1 | | Circle | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Camden" | | 3 | "Eva" | | 4 | "Kowalski" | | 5 | "Morris" | | 6 | "Serpent" | | 7 | "Circle" |
| | places | (empty) | | globalScore | 0.237 | | windowScore | 0.333 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 64 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like they’d seen better centuries" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.859 | | wordCount | 1164 | | matches | | 0 | "not north, but toward the body" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 134 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 49 | | mean | 23.76 | | std | 16.82 | | cv | 0.708 | | sampleLengths | | 0 | 70 | | 1 | 47 | | 2 | 41 | | 3 | 28 | | 4 | 23 | | 5 | 24 | | 6 | 15 | | 7 | 2 | | 8 | 13 | | 9 | 47 | | 10 | 37 | | 11 | 27 | | 12 | 4 | | 13 | 60 | | 14 | 10 | | 15 | 11 | | 16 | 2 | | 17 | 9 | | 18 | 18 | | 19 | 12 | | 20 | 55 | | 21 | 7 | | 22 | 16 | | 23 | 19 | | 24 | 38 | | 25 | 14 | | 26 | 13 | | 27 | 33 | | 28 | 56 | | 29 | 40 | | 30 | 21 | | 31 | 25 | | 32 | 20 | | 33 | 9 | | 34 | 13 | | 35 | 25 | | 36 | 22 | | 37 | 11 | | 38 | 23 | | 39 | 4 | | 40 | 8 | | 41 | 9 | | 42 | 52 | | 43 | 17 | | 44 | 36 | | 45 | 4 | | 46 | 35 | | 47 | 35 | | 48 | 4 |
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| 98.58% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 105 | | matches | | 0 | "was found" | | 1 | "were smudged" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 152 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 11 | | semicolonCount | 0 | | flaggedSentences | 8 | | totalSentences | 134 | | ratio | 0.06 | | matches | | 0 | "A man in a tailored suit, his throat slit ear to ear, but the blood—there was barely any." | | 1 | "The compass—small, brass, its face etched with sigils—pointed not north, but toward the body." | | 2 | "The station was a relic, abandoned decades ago, but the air smelled of recent activity—candle wax, burnt herbs, the metallic tang of old coins." | | 3 | "Quinn’s watch—worn leather, left wrist—ticked loudly in the silence." | | 4 | "“No wallet. No phone. But look.” She pointed to his cufflinks—tiny, silver, shaped like snakes eating their own tails." | | 5 | "A sound echoed through the tunnel—a wet, clicking noise, like a throat trying to swallow itself." | | 6 | "Its eyes—if they were eyes—glowed like embers." | | 7 | "It flared bright, a sudden burst of silver light, and the thing *screamed*—a sound like tearing metal." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 886 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 35 | | adverbRatio | 0.039503386004514675 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.0056433408577878106 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 134 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 134 | | mean | 8.69 | | std | 5.99 | | cv | 0.689 | | sampleLengths | | 0 | 17 | | 1 | 24 | | 2 | 13 | | 3 | 16 | | 4 | 4 | | 5 | 18 | | 6 | 14 | | 7 | 7 | | 8 | 2 | | 9 | 2 | | 10 | 12 | | 11 | 11 | | 12 | 18 | | 13 | 11 | | 14 | 17 | | 15 | 15 | | 16 | 8 | | 17 | 3 | | 18 | 14 | | 19 | 3 | | 20 | 4 | | 21 | 5 | | 22 | 10 | | 23 | 2 | | 24 | 13 | | 25 | 6 | | 26 | 19 | | 27 | 12 | | 28 | 10 | | 29 | 5 | | 30 | 32 | | 31 | 7 | | 32 | 10 | | 33 | 4 | | 34 | 3 | | 35 | 3 | | 36 | 4 | | 37 | 6 | | 38 | 5 | | 39 | 24 | | 40 | 3 | | 41 | 15 | | 42 | 7 | | 43 | 10 | | 44 | 4 | | 45 | 7 | | 46 | 2 | | 47 | 7 | | 48 | 2 | | 49 | 9 |
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| 53.23% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.35074626865671643 | | totalSentences | 134 | | uniqueOpeners | 47 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 95 | | matches | | 0 | "Just a thin, dark line," | | 1 | "Then, without warning, it *shattered*" | | 2 | "Too many limbs." |
| | ratio | 0.032 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 18 | | totalSentences | 95 | | matches | | 0 | "She reached for it." | | 1 | "She pulled a latex glove" | | 2 | "She’d seen slashings before." | | 3 | "She stood, scanning the scene." | | 4 | "She’d heard whispers of it," | | 5 | "She turned to the constable." | | 6 | "They’re moving wrong.* She’d laughed" | | 7 | "She forced the memory down." | | 8 | "It was a breach." | | 9 | "She pulled out her phone," | | 10 | "She pointed to his cufflinks—tiny," | | 11 | "She’d seen that symbol before," | | 12 | "She lunged for the stairs," | | 13 | "Its eyes—if they were eyes—glowed" | | 14 | "She went down hard, her" | | 15 | "It flared bright, a sudden" | | 16 | "She dragged Eva up the" | | 17 | "It was an invitation." |
| | ratio | 0.189 | |
| 44.21% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 79 | | totalSentences | 95 | | matches | | 0 | "The bone token burned cold" | | 1 | "The abandoned Tube station beneath" | | 2 | "A uniformed constable nodded at" | | 3 | "The beam caught the glint" | | 4 | "A man in a tailored" | | 5 | "The pool beneath him was" | | 6 | "The voice came from the" | | 7 | "Eva Kowalski stepped forward, her" | | 8 | "A worn leather satchel bumped" | | 9 | "Quinn crouched beside the body," | | 10 | "Eva tucked a curl behind" | | 11 | "Quinn’s jaw tightened." | | 12 | "The compass—small, brass, its face" | | 13 | "She reached for it." | | 14 | "Eva’s voice was sharp" | | 15 | "Quinn’s fingers hovered over the" | | 16 | "The patina of verdigris on" | | 17 | "She pulled a latex glove" | | 18 | "Eva exhaled through her nose." | | 19 | "Quinn’s gaze snapped to the" |
| | ratio | 0.832 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 95 | | matches | | 0 | "If Eva was right, this" | | 1 | "If this was the Serpent’s" |
| | ratio | 0.021 | |
| 58.82% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 34 | | technicalSentenceCount | 4 | | matches | | 0 | "The abandoned Tube station beneath Camden reeked of damp concrete and something older, something that made the hairs on her arms stand on end." | | 1 | "A worn leather satchel bumped against her hip, stuffed with books that looked like they’d seen better centuries." | | 2 | "Eva hauled her up, but the thing was already there, its form shifting, *unfolding*, like a puzzle box solving itself." | | 3 | "She dragged Eva up the stairs, her lungs burning, her mind racing." |
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| 41.67% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 1 | | matches | | 0 | "Eva pointed, as if something had dragged itself across them" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 36 | | tagDensity | 0.083 | | leniency | 0.167 | | rawRatio | 0.333 | | effectiveRatio | 0.056 | |