| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 19 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 36 | | tagDensity | 0.528 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 93.34% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1501 | | 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) | |
| 53.36% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1501 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "silence" | | 1 | "echoing" | | 2 | "stark" | | 3 | "velvet" | | 4 | "etched" | | 5 | "perfect" | | 6 | "standard" | | 7 | "intricate" | | 8 | "chill" | | 9 | "spectral" |
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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 | 128 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 1 | | narrationSentences | 128 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 144 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 37 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1496 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 16 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 47 | | wordCount | 1222 | | uniqueNames | 13 | | maxNameDensity | 1.31 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | Camden | 1 | | Detective | 2 | | Harlow | 2 | | Quinn | 16 | | Tube | 1 | | Victorian | 1 | | Sergeant | 1 | | Liam | 1 | | Carter | 9 | | Kowalski | 1 | | Eva | 8 | | Morris | 3 | | Shade | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Sergeant" | | 3 | "Liam" | | 4 | "Carter" | | 5 | "Kowalski" | | 6 | "Eva" | | 7 | "Morris" |
| | places | | | globalScore | 0.845 | | windowScore | 0.667 | |
| 89.76% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 83 | | glossingSentenceCount | 2 | | matches | | 0 | "it was as if the killing was almost ceremonial" | | 1 | "seemed etched into the brick itself, a slight depression, and within its outline, the brick was bleached pale, as if all colour had been sucked out" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.668 | | wordCount | 1496 | | matches | | 0 | "not with labour, but with fine, precise work" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 144 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 39 | | mean | 38.36 | | std | 29.29 | | cv | 0.764 | | sampleLengths | | 0 | 83 | | 1 | 78 | | 2 | 76 | | 3 | 1 | | 4 | 43 | | 5 | 37 | | 6 | 30 | | 7 | 93 | | 8 | 33 | | 9 | 76 | | 10 | 5 | | 11 | 64 | | 12 | 3 | | 13 | 12 | | 14 | 75 | | 15 | 8 | | 16 | 37 | | 17 | 13 | | 18 | 70 | | 19 | 59 | | 20 | 23 | | 21 | 80 | | 22 | 58 | | 23 | 5 | | 24 | 9 | | 25 | 2 | | 26 | 8 | | 27 | 8 | | 28 | 14 | | 29 | 28 | | 30 | 3 | | 31 | 39 | | 32 | 61 | | 33 | 35 | | 34 | 57 | | 35 | 20 | | 36 | 49 | | 37 | 9 | | 38 | 92 |
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| 77.85% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 10 | | totalSentences | 128 | | matches | | 0 | "was tucked" | | 1 | "was illuminated" | | 2 | "were arrayed" | | 3 | "were stained" | | 4 | "were calloused" | | 5 | "was opened" | | 6 | "been briefed" | | 7 | "was carved" | | 8 | "was bleached" | | 9 | "been sucked" | | 10 | "been found" | | 11 | "was gone" |
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| 25.48% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 5 | | totalVerbs | 191 | | matches | | 0 | "were already cataloguing" | | 1 | "was staring" | | 2 | "was talking" | | 3 | "was watching" | | 4 | "was operating" |
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| 23.81% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 2 | | flaggedSentences | 6 | | totalSentences | 144 | | ratio | 0.042 | | matches | | 0 | "The air grew colder, carrying a metallic tang and something else—ozone, like after a lightning strike." | | 1 | "This wasn't just a disused station; it was a cavern." | | 2 | "His throat had been cut—a single, deep, precise incision." | | 3 | "On a cord around his neck hung a small, carved token—a piece of yellowed bone, etched with a labyrinthine pattern." | | 4 | "Quinn had been briefed; the museum had sent a research assistant from their restricted archives as a consultant due to the “unusual artefacts” reported." | | 5 | "But they landed on a cold, hard place inside her—the unresolved file on DS Morris." |
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| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1229 | | adjectiveStacks | 2 | | stackExamples | | 0 | "single, deep, precise incision." | | 1 | "small, empty wooden box" |
| | adverbCount | 24 | | adverbRatio | 0.01952807160292921 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.0040683482506102524 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 144 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 144 | | mean | 10.39 | | std | 7.05 | | cv | 0.679 | | sampleLengths | | 0 | 24 | | 1 | 25 | | 2 | 15 | | 3 | 11 | | 4 | 4 | | 5 | 4 | | 6 | 11 | | 7 | 16 | | 8 | 14 | | 9 | 10 | | 10 | 10 | | 11 | 17 | | 12 | 1 | | 13 | 16 | | 14 | 37 | | 15 | 22 | | 16 | 1 | | 17 | 13 | | 18 | 14 | | 19 | 16 | | 20 | 7 | | 21 | 5 | | 22 | 12 | | 23 | 10 | | 24 | 3 | | 25 | 18 | | 26 | 8 | | 27 | 4 | | 28 | 14 | | 29 | 14 | | 30 | 9 | | 31 | 7 | | 32 | 26 | | 33 | 3 | | 34 | 20 | | 35 | 12 | | 36 | 21 | | 37 | 3 | | 38 | 5 | | 39 | 13 | | 40 | 15 | | 41 | 9 | | 42 | 13 | | 43 | 5 | | 44 | 8 | | 45 | 3 | | 46 | 2 | | 47 | 5 | | 48 | 2 | | 49 | 21 |
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| 56.94% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.375 | | totalSentences | 144 | | uniqueOpeners | 54 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 114 | | matches | (empty) | | ratio | 0 | |
| 93.68% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 36 | | totalSentences | 114 | | matches | | 0 | "Her worn leather watch felt" | | 1 | "Her sharp jaw tightened." | | 2 | "She descended a crumbling staircase," | | 3 | "They were empty now, save" | | 4 | "He was a broad man," | | 5 | "Her eyes were already cataloguing." | | 6 | "He wore a tailored waistcoat" | | 7 | "His throat had been cut—a" | | 8 | "They were stained a deep," | | 9 | "She crouched, her knees popping." | | 10 | "She ignored the wound for" | | 11 | "She looked at his face." | | 12 | "His eyes were open, a" | | 13 | "He held up an evidence" | | 14 | "She pushed her round glasses" | | 15 | "She tucked a curl behind" | | 16 | "She pointed to the empty" | | 17 | "She gestured to the stall" | | 18 | "They matched the style of" | | 19 | "She indicated the edge of" |
| | ratio | 0.316 | |
| 43.33% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 95 | | totalSentences | 114 | | matches | | 0 | "The damp Camden air clung" | | 1 | "The entrance was tucked between" | | 2 | "Her worn leather watch felt" | | 3 | "The call had come in" | | 4 | "An abandoned Tube station." | | 5 | "Her sharp jaw tightened." | | 6 | "She descended a crumbling staircase," | | 7 | "The air grew colder, carrying" | | 8 | "This wasn't just a disused" | | 9 | "Dozens of them, fashioned from" | | 10 | "They were empty now, save" | | 11 | "The scene was silent except" | | 12 | "Detective Sergeant Liam Carter emerged" | | 13 | "He was a broad man," | | 14 | "Quinn repeated, her voice flat" | | 15 | "Her eyes were already cataloguing." | | 16 | "Military precision kept her movements" | | 17 | "The floor was gritty with" | | 18 | "Carter led her to the" | | 19 | "A body lay supine, covered" |
| | ratio | 0.833 | |
| 87.72% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 114 | | matches | | 0 | "As if he’d already been" | | 1 | "Now she looked closer." |
| | ratio | 0.018 | |
| 86.83% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 51 | | technicalSentenceCount | 4 | | matches | | 0 | "They were empty now, save for a few overturned tables and scattered, peculiar items: vials of iridescent liquid, bundles of feathers that looked too large for a…" | | 1 | "They were stained a deep, unnatural blue, as if he’d been handling ink, and his fingertips were calloused not with labour, but with fine, precise work." | | 2 | "It seemed etched into the brick itself, a slight depression, and within its outline, the brick was bleached pale, as if all colour had been sucked out." | | 3 | "Morris, who had been found in a similar forgotten place, his body surrounded by inexplicable thermal anomalies and electromagnetic distortions the report had ul…" |
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| 19.74% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 19 | | uselessAdditionCount | 4 | | matches | | 0 | "Quinn repeated, her voice flat" | | 1 | "Quinn prompted, her tone leaving no room for irrelevant detail" | | 2 | "Eva said, her voice gaining a thread of academic confidence" | | 3 | "she said, her voice leaving no room for argument" |
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| 66.67% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 12 | | fancyCount | 3 | | fancyTags | | 0 | "Quinn repeated (repeat)" | | 1 | "she whispered (whisper)" | | 2 | "Quinn snapped (snap)" |
| | dialogueSentences | 36 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0.25 | | effectiveRatio | 0.167 | |