| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 3 | | adverbTags | | 0 | "She crouched again [again]" | | 1 | "she said quietly [quietly]" | | 2 | "She looked once [once]" |
| | dialogueSentences | 30 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0.2 | | effectiveRatio | 0.2 | |
| 95.76% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1180 | | 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) | |
| 91.53% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1180 | | totalAiIsms | 2 | | found | | 0 | | word | "the last thing" | | count | 1 |
| | 1 | |
| | highlights | | 0 | "the last thing" | | 1 | "etched" |
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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 | 80 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 80 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 95 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 41 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1190 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 1 | | matches | | 0 | "Behind her, Aldridge said nothing at all." |
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| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 21 | | wordCount | 915 | | uniqueNames | 10 | | maxNameDensity | 0.66 | | worstName | "Aldridge" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Aldridge" | | discoveredNames | | Quinn | 4 | | Camden | 1 | | High | 1 | | Street | 1 | | Aldridge | 6 | | Mott | 4 | | Morris | 1 | | Kowalski | 1 | | British | 1 | | Museum | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Aldridge" | | 2 | "Mott" | | 3 | "Morris" | | 4 | "Kowalski" | | 5 | "Museum" |
| | places | | 0 | "Camden" | | 1 | "High" | | 2 | "Street" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 55 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.84 | | wordCount | 1190 | | matches | | 0 | "not splayed in a fall, but cupped, as though they'd been closed around something now go" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 95 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 35 | | mean | 34 | | std | 29.59 | | cv | 0.87 | | sampleLengths | | 0 | 63 | | 1 | 21 | | 2 | 69 | | 3 | 79 | | 4 | 26 | | 5 | 3 | | 6 | 19 | | 7 | 76 | | 8 | 18 | | 9 | 70 | | 10 | 5 | | 11 | 14 | | 12 | 4 | | 13 | 61 | | 14 | 13 | | 15 | 90 | | 16 | 7 | | 17 | 14 | | 18 | 78 | | 19 | 11 | | 20 | 4 | | 21 | 3 | | 22 | 36 | | 23 | 80 | | 24 | 11 | | 25 | 7 | | 26 | 25 | | 27 | 72 | | 28 | 7 | | 29 | 11 | | 30 | 9 | | 31 | 76 | | 32 | 44 | | 33 | 57 | | 34 | 7 |
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| 92.11% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 80 | | matches | | 0 | "were pulled" | | 1 | "been drawn" | | 2 | "were curled" | | 3 | "been closed" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 154 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 1 | | flaggedSentences | 10 | | totalSentences | 95 | | ratio | 0.105 | | matches | | 0 | "The stink of the place reached Quinn before the light did — wet brick, old iron, and underneath it something sweeter, almost floral, that didn't belong fifty feet beneath Camden High Street." | | 1 | "A drop like that, a struggle, you expected blood, and there was none — not on the tiles, not on his clothes, not pooled beneath him in the grime." | | 2 | "His arm reached up, yes — but not back toward the platform he'd supposedly fallen from." | | 3 | "Her knees protested; she ignored them." | | 4 | "The work lamps lied — they flattened everything into glare." | | 5 | "The tread was odd — too smooth, too narrow, the toes longer than they had any right to be." | | 6 | "The size of a large coin, or a pocket watch — or a compass." | | 7 | "The sweet smell was stronger here, and the air moved against her face in a way that no air a hundred feet down should move — a slow exhalation, warm, almost breathing." | | 8 | "\"Then why are all the footprints walking toward it?\" She crouched a final time, sweeping her light along the lip of the drop, and found the last thing — a single object the killer had missed." | | 9 | "The thought arrived unbidden, the name of a woman she'd been quietly building a file on for months — occult researcher, British Museum, restricted archives, friends with all the wrong people." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 912 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 23 | | adverbRatio | 0.025219298245614034 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.007675438596491228 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 95 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 95 | | mean | 12.53 | | std | 9.92 | | cv | 0.792 | | sampleLengths | | 0 | 32 | | 1 | 31 | | 2 | 14 | | 3 | 7 | | 4 | 7 | | 5 | 28 | | 6 | 4 | | 7 | 30 | | 8 | 21 | | 9 | 21 | | 10 | 2 | | 11 | 6 | | 12 | 29 | | 13 | 18 | | 14 | 8 | | 15 | 3 | | 16 | 16 | | 17 | 3 | | 18 | 27 | | 19 | 36 | | 20 | 13 | | 21 | 3 | | 22 | 15 | | 23 | 6 | | 24 | 7 | | 25 | 28 | | 26 | 5 | | 27 | 16 | | 28 | 5 | | 29 | 3 | | 30 | 5 | | 31 | 13 | | 32 | 1 | | 33 | 4 | | 34 | 5 | | 35 | 8 | | 36 | 10 | | 37 | 23 | | 38 | 15 | | 39 | 11 | | 40 | 2 | | 41 | 2 | | 42 | 6 | | 43 | 16 | | 44 | 10 | | 45 | 5 | | 46 | 10 | | 47 | 7 | | 48 | 1 | | 49 | 33 |
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| 86.32% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.5368421052631579 | | totalSentences | 95 | | uniqueOpeners | 51 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 67 | | matches | (empty) | | ratio | 0 | |
| 58.81% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 27 | | totalSentences | 67 | | matches | | 0 | "She came down the maintenance" | | 1 | "She nodded and ducked under" | | 2 | "She let her eyes adjust" | | 3 | "He looked up when her" | | 4 | "She crouched opposite him, careful" | | 5 | "He gestured at the dark" | | 6 | "She let the theory sit" | | 7 | "His arm reached up, yes" | | 8 | "It pointed into the tunnel." | | 9 | "She didn't have to point." | | 10 | "His eyes were open and" | | 11 | "Her knees protested; she ignored" | | 12 | "She walked the platform slowly," | | 13 | "She crouched again over one" | | 14 | "She had seen a lot" | | 15 | "She had never seen one" | | 16 | "She stood and made herself" | | 17 | "She turned in a slow" | | 18 | "He didn't answer." | | 19 | "She crossed to the body" |
| | ratio | 0.403 | |
| 42.09% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 56 | | totalSentences | 67 | | matches | | 0 | "The stink of the place" | | 1 | "She came down the maintenance" | | 2 | "A uniformed constable straightened against" | | 3 | "She nodded and ducked under" | | 4 | "She let her eyes adjust" | | 5 | "The body lay near the" | | 6 | "A man, mid-forties, sprawled on" | | 7 | "That was the first wrong" | | 8 | "A drop like that, a" | | 9 | "DS Aldridge crouched a few" | | 10 | "He looked up when her" | | 11 | "She crouched opposite him, careful" | | 12 | "Aldridge tapped his pen against" | | 13 | "He gestured at the dark" | | 14 | "Quinn said nothing." | | 15 | "She let the theory sit" | | 16 | "The man's shoes were the" | | 17 | "Italian leather, expensive, the soles" | | 18 | "A man who slipped near" | | 19 | "Mott lay flat and composed." |
| | ratio | 0.836 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 67 | | matches | | 0 | "As if he'd seen a" | | 1 | "If anyone could read a" |
| | ratio | 0.03 | |
| 4.61% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 31 | | technicalSentenceCount | 6 | | matches | | 0 | "A man, mid-forties, sprawled on his back with one arm flung above his head as though he'd been reaching for something." | | 1 | "DS Aldridge crouched a few feet off, balancing on the balls of his feet, scribbling in a notebook." | | 2 | "A man who slipped near the edge of a thirty-foot drop should have skid marks raking the tiles, scrabbling, the body half-turned in the instinct to save itself." | | 3 | "Aldridge sighed, the long-suffering sound of a man who'd worked with her before." | | 4 | "Several sets, overlapping, coming and going, and all of them stopping a good ten feet shy of the tunnel mouth, as if a line had been drawn that the living did n…" | | 5 | "Died, swallowed clean, as if the dark there were a substance and not an absence." |
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| 91.67% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 1 | | matches | | 0 | "constable straightened, his torch beam jumping" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 30 | | tagDensity | 0.233 | | leniency | 0.467 | | rawRatio | 0.143 | | effectiveRatio | 0.067 | |