| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 28 | | tagDensity | 0.214 | | leniency | 0.429 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 90.77% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1083 | | 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) | |
| 35.36% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1083 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "glint" | | 1 | "etched" | | 2 | "trembled" | | 3 | "shattered" | | 4 | "flicked" | | 5 | "wavered" | | 6 | "measured" | | 7 | "racing" | | 8 | "pulsed" | | 9 | "whisper" | | 10 | "flickered" | | 11 | "silk" |
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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 | 86 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 86 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 108 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 38 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 19 | | markdownWords | 25 | | totalWords | 1076 | | ratio | 0.023 | | matches | | 0 | "neat" | | 1 | "deliberate" | | 2 | "ripped" | | 3 | "twitched" | | 4 | "what" | | 5 | "here" | | 6 | "very" | | 7 | "someone" | | 8 | "suspiciously" | | 9 | "stuck" | | 10 | "in the air itself" | | 11 | "Unnatural" | | 12 | "something" | | 13 | "stop" | | 14 | "ripped" | | 15 | "rotten" | | 16 | "wrong" | | 17 | "The Market." | | 18 | "God, her eyes" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 51.11% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 35 | | wordCount | 809 | | uniqueNames | 7 | | maxNameDensity | 1.98 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | Tube | 1 | | Quinn | 16 | | Kowalski | 1 | | Eva | 13 | | Morris | 2 | | Camden | 1 | | Stalls | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Kowalski" | | 2 | "Eva" | | 3 | "Morris" | | 4 | "Stalls" |
| | places | | | globalScore | 0.511 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 51 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like scorch marks along the tiled" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.929 | | wordCount | 1076 | | matches | | 0 | "not with the usual underground vibration of trains, but with something quieter, more insistent" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 108 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 43 | | mean | 25.02 | | std | 21.04 | | cv | 0.841 | | sampleLengths | | 0 | 71 | | 1 | 18 | | 2 | 65 | | 3 | 10 | | 4 | 68 | | 5 | 16 | | 6 | 44 | | 7 | 12 | | 8 | 62 | | 9 | 15 | | 10 | 37 | | 11 | 41 | | 12 | 15 | | 13 | 2 | | 14 | 32 | | 15 | 46 | | 16 | 41 | | 17 | 14 | | 18 | 12 | | 19 | 71 | | 20 | 13 | | 21 | 3 | | 22 | 16 | | 23 | 12 | | 24 | 31 | | 25 | 9 | | 26 | 43 | | 27 | 4 | | 28 | 2 | | 29 | 49 | | 30 | 7 | | 31 | 19 | | 32 | 7 | | 33 | 5 | | 34 | 43 | | 35 | 6 | | 36 | 7 | | 37 | 2 | | 38 | 42 | | 39 | 11 | | 40 | 38 | | 41 | 6 | | 42 | 9 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 86 | | matches | | |
| 59.15% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 142 | | matches | | 0 | "was scribbling" | | 1 | "were screaming" | | 2 | "was already moving" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 0 | | flaggedSentences | 8 | | totalSentences | 108 | | ratio | 0.074 | | matches | | 0 | "The abandoned Tube station reeked of damp concrete and something older—something that clung to the back of Quinn’s throat like rust." | | 1 | "The beam of her torch swept over the platform, catching on something half-buried in the grime—a glint of brass, half-hidden beneath a discarded newspaper." | | 2 | "The platform was a mess—overturned crates, shattered glass, and what looked like scorch marks along the tiled walls." | | 3 | "But the pattern was unmistakable—spatter, like something had been thrown with force." | | 4 | "She’d seen the symbols he’d scribbled in the margins—symbols that looked *suspiciously* like the ones etched into the compass in her pocket." | | 5 | "Not in the wall, not in the floor—*in the air itself*." | | 6 | "The darkness pressed in, thick and suffocating, and for a heartbeat, she thought she heard laughter—high, shrill, *wrong*." | | 7 | "Her eyes—*God, her eyes*—were entirely black, pupil and iris both, like pools of oil." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 818 | | adjectiveStacks | 1 | | stackExamples | | 0 | "thicker, heavier, pressing against her" |
| | adverbCount | 27 | | adverbRatio | 0.03300733496332518 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.004889975550122249 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 108 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 108 | | mean | 9.96 | | std | 7.58 | | cv | 0.761 | | sampleLengths | | 0 | 21 | | 1 | 23 | | 2 | 17 | | 3 | 10 | | 4 | 12 | | 5 | 6 | | 6 | 18 | | 7 | 33 | | 8 | 14 | | 9 | 5 | | 10 | 5 | | 11 | 24 | | 12 | 9 | | 13 | 19 | | 14 | 16 | | 15 | 3 | | 16 | 13 | | 17 | 3 | | 18 | 7 | | 19 | 18 | | 20 | 4 | | 21 | 7 | | 22 | 5 | | 23 | 8 | | 24 | 4 | | 25 | 11 | | 26 | 37 | | 27 | 14 | | 28 | 9 | | 29 | 4 | | 30 | 2 | | 31 | 6 | | 32 | 31 | | 33 | 8 | | 34 | 14 | | 35 | 13 | | 36 | 6 | | 37 | 4 | | 38 | 11 | | 39 | 2 | | 40 | 6 | | 41 | 26 | | 42 | 3 | | 43 | 5 | | 44 | 18 | | 45 | 20 | | 46 | 16 | | 47 | 9 | | 48 | 1 | | 49 | 1 |
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| 47.53% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.32407407407407407 | | totalSentences | 108 | | uniqueOpeners | 35 | |
| 88.89% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 75 | | matches | | 0 | "Then she saw it." | | 1 | "Then the lights came back" |
| | ratio | 0.027 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 21 | | totalSentences | 75 | | matches | | 0 | "Her torch cut a jagged" | | 1 | "She adjusted the strap of" | | 2 | "She tucked a curl of" | | 3 | "She crouched, brushing the debris" | | 4 | "She was too busy studying" | | 5 | "She stood, her boots crunching" | | 6 | "She gestured to the scorch" | | 7 | "She didn’t like the way" | | 8 | "She pocketed it, her fingers" | | 9 | "She didn’t believe in magic." | | 10 | "She believed in evidence, in" | | 11 | "She moved farther down the" | | 12 | "She didn’t have to." | | 13 | "They both knew the answer." | | 14 | "She’d seen the symbols he’d" | | 15 | "She stood, her gaze sweeping" | | 16 | "She was already moving toward" | | 17 | "It pulsed, flickering in and" | | 18 | "She didn’t have to." | | 19 | "She was tall, her skin" |
| | ratio | 0.28 | |
| 53.33% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 61 | | totalSentences | 75 | | matches | | 0 | "The abandoned Tube station reeked" | | 1 | "Her torch cut a jagged" | | 2 | "The air hummed, not with" | | 3 | "A low, resonant thrum that" | | 4 | "She adjusted the strap of" | | 5 | "Eva Kowalski didn’t look up" | | 6 | "She tucked a curl of" | | 7 | "Quinn exhaled through her nose." | | 8 | "The beam of her torch" | | 9 | "She crouched, brushing the debris" | | 10 | "The compass was small, its" | | 11 | "The needle trembled, then swung" | | 12 | "Eva’s breath hitched." | | 13 | "Quinn didn’t answer." | | 14 | "She was too busy studying" | | 15 | "The platform was a mess—overturned" | | 16 | "The debris was too *neat*," | | 17 | "She stood, her boots crunching" | | 18 | "Eva hesitated, then stepped forward," | | 19 | "She gestured to the scorch" |
| | ratio | 0.813 | |
| 66.67% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 75 | | matches | | 0 | "Because the tear *ripped* wider." |
| | ratio | 0.013 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 35 | | technicalSentenceCount | 2 | | matches | | 0 | "The abandoned Tube station reeked of damp concrete and something older—something that clung to the back of Quinn’s throat like rust." | | 1 | "She was tall, her skin the color of polished mahogany, her hair braided with strands of silver that caught the light like spider silk." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | 0 | "Quinn repeated (repeat)" |
| | dialogueSentences | 28 | | tagDensity | 0.071 | | leniency | 0.143 | | rawRatio | 0.5 | | effectiveRatio | 0.071 | |