| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 27 | | tagDensity | 0.519 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.66% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1497 | | 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) | |
| 49.90% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1497 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "calculated" | | 1 | "echoing" | | 2 | "gloom" | | 3 | "mechanical" | | 4 | "scanning" | | 5 | "silk" | | 6 | "rhythmic" | | 7 | "silence" | | 8 | "familiar" | | 9 | "sense of" | | 10 | "shattered" | | 11 | "etched" | | 12 | "pulse" | | 13 | "perfect" | | 14 | "dance" |
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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 | 81 | | matches | (empty) | |
| 1.76% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 7 | | narrationSentences | 81 | | filterMatches | | | hedgeMatches | | 0 | "seemed to" | | 1 | "began to" | | 2 | "tried to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 93 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 48 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1494 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 35 | | wordCount | 1112 | | uniqueNames | 15 | | maxNameDensity | 0.9 | | worstName | "Harlow" | | maxWindowNameDensity | 2 | | worstWindowName | "Harlow" | | discoveredNames | | Tube | 1 | | Harlow | 10 | | Quinn | 1 | | Morris | 3 | | London | 1 | | Underground | 1 | | Camden | 1 | | King | 1 | | Cross | 1 | | Miller | 8 | | North | 1 | | Eva | 3 | | Kowalski | 1 | | British | 1 | | Museum | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Morris" | | 3 | "Underground" | | 4 | "King" | | 5 | "Cross" | | 6 | "Miller" | | 7 | "Eva" | | 8 | "Kowalski" | | 9 | "Museum" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 5.07% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 69 | | glossingSentenceCount | 4 | | matches | | 0 | "symbols that seemed to pulse with a life of their own under the artificial light" | | 1 | "felt like it was pointing somewhere els" | | 2 | "looked like crushed pearl, dusted across" | | 3 | "as if recognizing one of their own" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.669 | | wordCount | 1494 | | matches | | 0 | "Not from a textbook, but from the fever dreams of a case" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 93 | | matches | (empty) | |
| 98.49% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 31 | | mean | 48.19 | | std | 23.84 | | cv | 0.495 | | sampleLengths | | 0 | 88 | | 1 | 35 | | 2 | 46 | | 3 | 57 | | 4 | 55 | | 5 | 56 | | 6 | 60 | | 7 | 56 | | 8 | 80 | | 9 | 18 | | 10 | 10 | | 11 | 105 | | 12 | 54 | | 13 | 36 | | 14 | 44 | | 15 | 69 | | 16 | 30 | | 17 | 12 | | 18 | 37 | | 19 | 84 | | 20 | 50 | | 21 | 13 | | 22 | 8 | | 23 | 45 | | 24 | 11 | | 25 | 64 | | 26 | 58 | | 27 | 50 | | 28 | 46 | | 29 | 45 | | 30 | 72 |
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| 83.60% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 81 | | matches | | 0 | "was dictated" | | 1 | "was dressed" | | 2 | "been moved" | | 3 | "been forced" | | 4 | "been buried" | | 5 | "was caught" | | 6 | "been intercepted" |
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| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 6 | | totalVerbs | 188 | | matches | | 0 | "was standing" | | 1 | "was looking" | | 2 | "wasn't looking" | | 3 | "was pointing" | | 4 | "was stepping" | | 5 | "was finally beginning" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 3 | | flaggedSentences | 6 | | totalSentences | 93 | | ratio | 0.065 | | matches | | 0 | "She wasn't looking for blood spatter yet; she was looking for the logic of the space." | | 1 | "She felt a familiar, prickling sensation at the base of her neck—the phantom itch that had preceded the disappearance of Morris." | | 2 | "She didn't touch it with her hands; she used a pair of tweezers from her kit." | | 3 | "It was a series of interlocking, swirling sigils—protective symbols that seemed to pulse with a life of their own under the artificial light." | | 4 | "The station felt less like an abandoned transit hub and more like a waiting room—a threshold." | | 5 | "Eva wouldn't look at the blood and see a crime; she would look at the blood and see a ritual." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1120 | | adjectiveStacks | 1 | | stackExamples | | 0 | "quiet, dust-moted halls" |
| | adverbCount | 23 | | adverbRatio | 0.020535714285714286 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.008035714285714285 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 93 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 93 | | mean | 16.06 | | std | 8.84 | | cv | 0.55 | | sampleLengths | | 0 | 16 | | 1 | 35 | | 2 | 14 | | 3 | 23 | | 4 | 18 | | 5 | 17 | | 6 | 16 | | 7 | 20 | | 8 | 10 | | 9 | 10 | | 10 | 14 | | 11 | 33 | | 12 | 23 | | 13 | 32 | | 14 | 3 | | 15 | 10 | | 16 | 9 | | 17 | 16 | | 18 | 18 | | 19 | 10 | | 20 | 10 | | 21 | 7 | | 22 | 5 | | 23 | 28 | | 24 | 5 | | 25 | 17 | | 26 | 34 | | 27 | 3 | | 28 | 12 | | 29 | 16 | | 30 | 19 | | 31 | 13 | | 32 | 17 | | 33 | 18 | | 34 | 10 | | 35 | 13 | | 36 | 14 | | 37 | 30 | | 38 | 48 | | 39 | 6 | | 40 | 12 | | 41 | 21 | | 42 | 15 | | 43 | 9 | | 44 | 27 | | 45 | 9 | | 46 | 8 | | 47 | 15 | | 48 | 12 | | 49 | 13 |
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| 44.44% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.34408602150537637 | | totalSentences | 93 | | uniqueOpeners | 32 | |
| 82.30% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 81 | | matches | | 0 | "Only the heavy, dragging marks" | | 1 | "Instead, it had pooled in" |
| | ratio | 0.025 | |
| 32.35% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 38 | | totalSentences | 81 | | matches | | 0 | "It was an atmosphere of" | | 1 | "She stepped over a rusted" | | 2 | "He was standing near a" | | 3 | "She stepped into the circle" | | 4 | "She moved toward the victim" | | 5 | "She knelt, her sharp jawline" | | 6 | "He lay sprawled against the" | | 7 | "She leaned closer, her nose" | | 8 | "She didn't look at the" | | 9 | "She looked at the surroundings." | | 10 | "He sounded defensive, the way" | | 11 | "She pulled a small penlight" | | 12 | "She wasn't looking for blood" | | 13 | "she said, pointing her light" | | 14 | "She stood up, her eyes" | | 15 | "She felt a familiar, prickling" | | 16 | "It was a sense of" | | 17 | "She turned her gaze to" | | 18 | "She approached it, her heart" | | 19 | "It was a small brass" |
| | ratio | 0.469 | |
| 15.56% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 72 | | totalSentences | 81 | | matches | | 0 | "The humidity of the abandoned" | | 1 | "It was an atmosphere of" | | 2 | "She stepped over a rusted" | | 3 | "Every movement was dictated by" | | 4 | "The station, long scrubbed from" | | 5 | "Sergeant Miller said, his voice" | | 6 | "He was standing near a" | | 7 | "Harlow checked the worn leather" | | 8 | "The ticking was a small," | | 9 | "She stepped into the circle" | | 10 | "Miller continued, gesturing with a" | | 11 | "Harlow didn't answer." | | 12 | "She moved toward the victim" | | 13 | "She knelt, her sharp jawline" | | 14 | "The man was dressed in" | | 15 | "He lay sprawled against the" | | 16 | "Harlow's voice was low, a" | | 17 | "She leaned closer, her nose" | | 18 | "She didn't look at the" | | 19 | "She looked at the surroundings." |
| | ratio | 0.889 | |
| 61.73% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 81 | | matches | | | ratio | 0.012 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 49 | | technicalSentenceCount | 10 | | matches | | 0 | "It was an atmosphere of heavy, stagnant air and the metallic tang of oxidized iron, a scent that had haunted her lungs since the night DS Morris had vanished in…" | | 1 | "Every movement was dictated by military precision, a calculated economy of motion that kept her steady despite the unsettling geometry of the space." | | 2 | "He was standing near a cluster of overturned wooden crates, his flashlight cutting a harsh, white swath through the gloom." | | 3 | "The ticking was a small, mechanical comfort in a place that felt fundamentally broken." | | 4 | "She felt a familiar, prickling sensation at the base of her neck—the phantom itch that had preceded the disappearance of Morris." | | 5 | "It was a series of interlocking, swirling sigils—protective symbols that seemed to pulse with a life of their own under the artificial light." | | 6 | "The lack of struggle wasn't because he was caught off guard, but because he had been intercepted by something that didn't require a physical struggle to subdue." | | 7 | "There, invisible to Miller's flashlight but glaringly obvious to her trained eye, were fine, shimmering traces of something that looked like crushed pearl, dust…" | | 8 | "She could almost feel the hum of energy vibrating through the soles of her boots, a low-frequency thrum that whispered of hidden markets and shifting realities." | | 9 | "The shadows of the station seemed to dance, stretching toward the brass compass in her hand, as if recognizing one of their own." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 4 | | matches | | 0 | "Sergeant Miller said, his voice echoing too loudly against the vaulted tile walls" | | 1 | "Harlow said, her voice hardening" | | 2 | "Harlow commanded, her tone leaving no room for argument" | | 3 | "she said, her voice steady despite the cold settling in her bones" |
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| 1.85% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 4 | | fancyTags | | 0 | "Miller continued (continue)" | | 1 | "Miller muttered (mutter)" | | 2 | "she whispered (whisper)" | | 3 | "she snapped (snap)" |
| | dialogueSentences | 27 | | tagDensity | 0.37 | | leniency | 0.741 | | rawRatio | 0.4 | | effectiveRatio | 0.296 | |