| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 1 | | adverbTags | | 0 | "he said finally [finally]" |
| | dialogueSentences | 31 | | tagDensity | 0.419 | | leniency | 0.839 | | rawRatio | 0.077 | | effectiveRatio | 0.065 | |
| 90.88% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1096 | | 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) | |
| 77.19% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1096 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "weight" | | 1 | "stomach" | | 2 | "resolving" | | 3 | "familiar" | | 4 | "silence" |
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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 | 37 | | matches | (empty) | |
| 65.64% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 37 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 54 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 45 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1100 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 28 | | wordCount | 806 | | uniqueNames | 13 | | maxNameDensity | 0.87 | | worstName | "Osei" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Osei" | | discoveredNames | | Tube | 2 | | Detective | 1 | | Harlow | 1 | | Quinn | 6 | | Camden | 1 | | Road | 1 | | London | 1 | | Osei | 7 | | Eighteen | 2 | | Deptford | 2 | | Morris | 1 | | Eva | 2 | | Kowalski | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Osei" | | 3 | "Morris" | | 4 | "Eva" | | 5 | "Kowalski" |
| | places | | 0 | "Camden" | | 1 | "Road" | | 2 | "London" | | 3 | "Deptford" |
| | globalScore | 1 | | windowScore | 0.833 | |
| 69.35% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 31 | | glossingSentenceCount | 1 | | matches | | 0 | "darkness that seemed to swallow the light rather than merely resist it" |
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| 18.18% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.818 | | wordCount | 1100 | | matches | | 0 | "not fear but something closer to wonder" | | 1 | "not colder, exactly, but thinner, as if the pressure itself had changed" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 54 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 28 | | mean | 39.29 | | std | 28.82 | | cv | 0.734 | | sampleLengths | | 0 | 89 | | 1 | 18 | | 2 | 38 | | 3 | 65 | | 4 | 40 | | 5 | 3 | | 6 | 44 | | 7 | 57 | | 8 | 25 | | 9 | 2 | | 10 | 1 | | 11 | 36 | | 12 | 29 | | 13 | 106 | | 14 | 2 | | 15 | 68 | | 16 | 50 | | 17 | 5 | | 18 | 31 | | 19 | 73 | | 20 | 15 | | 21 | 68 | | 22 | 3 | | 23 | 74 | | 24 | 31 | | 25 | 12 | | 26 | 46 | | 27 | 69 |
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| 86.30% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 37 | | matches | | 0 | "was disturbed" | | 1 | "been mistaken" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 130 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 54 | | ratio | 0.056 | | matches | | 0 | "His eyes were open, fixed on the curved ceiling above, and his expression held not fear but something closer to wonder — the look of a man staring at a marvel rather than his own death." | | 1 | "The air down there felt different — not colder, exactly, but thinner, as if the pressure itself had changed." | | 2 | "Her eyes had caught on something else now — a fine line of residue on the platform's edge, near where the dust circle terminated, a faint discoloration that might have been mistaken for rust or old grime by anyone not looking for it specifically." |
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| 95.87% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 805 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 36 | | adverbRatio | 0.04472049689440994 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.012422360248447204 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 54 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 54 | | mean | 20.37 | | std | 12.59 | | cv | 0.618 | | sampleLengths | | 0 | 33 | | 1 | 33 | | 2 | 23 | | 3 | 9 | | 4 | 9 | | 5 | 16 | | 6 | 15 | | 7 | 7 | | 8 | 25 | | 9 | 40 | | 10 | 13 | | 11 | 27 | | 12 | 3 | | 13 | 12 | | 14 | 32 | | 15 | 21 | | 16 | 36 | | 17 | 5 | | 18 | 20 | | 19 | 2 | | 20 | 1 | | 21 | 20 | | 22 | 16 | | 23 | 18 | | 24 | 11 | | 25 | 43 | | 26 | 42 | | 27 | 21 | | 28 | 2 | | 29 | 16 | | 30 | 19 | | 31 | 33 | | 32 | 31 | | 33 | 19 | | 34 | 5 | | 35 | 28 | | 36 | 3 | | 37 | 33 | | 38 | 40 | | 39 | 15 | | 40 | 38 | | 41 | 24 | | 42 | 6 | | 43 | 3 | | 44 | 3 | | 45 | 44 | | 46 | 27 | | 47 | 9 | | 48 | 22 | | 49 | 12 |
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| 96.30% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.6111111111111112 | | totalSentences | 54 | | uniqueOpeners | 33 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 35 | | matches | (empty) | | ratio | 0 | |
| 48.57% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 15 | | totalSentences | 35 | | matches | | 0 | "She ducked under the sagging" | | 1 | "Her torch beam cut through" | | 2 | "She reached the platform level" | | 3 | "His eyes were open, fixed" | | 4 | "She gestured at the body" | | 5 | "She said it plainly, without" | | 6 | "She straightened and turned her" | | 7 | "She let it go, filing" | | 8 | "She crouched again beside the" | | 9 | "She didn't answer." | | 10 | "Her eyes had caught on" | | 11 | "She'd seen its like once" | | 12 | "She kept her voice level," | | 13 | "He studied her for a" | | 14 | "he said finally, and turned" |
| | ratio | 0.429 | |
| 2.86% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 32 | | totalSentences | 35 | | matches | | 0 | "The abandoned Tube station smelled" | | 1 | "She ducked under the sagging" | | 2 | "Her torch beam cut through" | | 3 | "Quinn descended anyway, testing each" | | 4 | "She reached the platform level" | | 5 | "The body lay near the" | | 6 | "A man, mid-forties by the" | | 7 | "Osei said, flipping through his" | | 8 | "Osei crouched beside the body," | | 9 | "Quinn knelt, ignoring the ache" | | 10 | "His eyes were open, fixed" | | 11 | "She gestured at the body" | | 12 | "Osei frowned and leaned closer," | | 13 | "Quinn's gaze traveled the platform," | | 14 | "The dust on the ground" | | 15 | "She said it plainly, without" | | 16 | "That part had learned its" | | 17 | "She straightened and turned her" | | 18 | "The air down there felt" | | 19 | "Osei glanced toward the tunnel," |
| | ratio | 0.914 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 35 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 21 | | technicalSentenceCount | 5 | | matches | | 0 | "The body lay near the old ticket barriers, arranged with a precision that made her stomach tighten before her mind had even finished cataloguing why." | | 1 | "A man, mid-forties by the look of him, dressed in a suit too fine for a dead Tube station, his limbs positioned at angles that reminded her of a chalk outline r…" | | 2 | "The dust on the ground was disturbed in a wide circle around the body, but there were no footprints in it, not even the dead man's own, as though he'd been set …" | | 3 | "The air down there felt different — not colder, exactly, but thinner, as if the pressure itself had changed." | | 4 | "Her eyes had caught on something else now — a fine line of residue on the platform's edge, near where the dust circle terminated, a faint discoloration that mig…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 31 | | tagDensity | 0.194 | | leniency | 0.387 | | rawRatio | 0 | | effectiveRatio | 0 | |