| 85.71% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 2 | | adverbTags | | 0 | "Quinn crouched again [again]" | | 1 | "Quinn said quietly [quietly]" |
| | dialogueSentences | 35 | | tagDensity | 0.4 | | leniency | 0.8 | | rawRatio | 0.143 | | effectiveRatio | 0.114 | |
| 92.78% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1386 | | 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) | |
| 71.14% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1386 | | totalAiIsms | 8 | | found | | | highlights | | 0 | "familiar" | | 1 | "synthetic" | | 2 | "etched" | | 3 | "pulse" | | 4 | "pristine" | | 5 | "perfect" |
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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 | 76 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 76 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 94 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 62 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1402 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.39% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 39 | | wordCount | 897 | | uniqueNames | 13 | | maxNameDensity | 1.67 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Detective | 1 | | Harlow | 1 | | Quinn | 15 | | Tube | 1 | | Camden | 1 | | London | 1 | | Buck | 1 | | Street | 1 | | Felicity | 1 | | Marsh | 10 | | Alice | 2 | | Grant | 3 | | Eight | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Camden" | | 3 | "Marsh" | | 4 | "Alice" | | 5 | "Grant" |
| | places | | 0 | "London" | | 1 | "Buck" | | 2 | "Street" | | 3 | "Felicity" | | 4 | "Eight" |
| | globalScore | 0.664 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 47 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1402 | | matches | (empty) | |
| 95.74% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 94 | | matches | | 0 | "let that sit" | | 1 | "made that decision" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 37 | | mean | 37.89 | | std | 26.86 | | cv | 0.709 | | sampleLengths | | 0 | 84 | | 1 | 87 | | 2 | 21 | | 3 | 56 | | 4 | 12 | | 5 | 67 | | 6 | 22 | | 7 | 30 | | 8 | 4 | | 9 | 30 | | 10 | 6 | | 11 | 41 | | 12 | 13 | | 13 | 45 | | 14 | 63 | | 15 | 23 | | 16 | 9 | | 17 | 11 | | 18 | 60 | | 19 | 76 | | 20 | 47 | | 21 | 14 | | 22 | 77 | | 23 | 22 | | 24 | 58 | | 25 | 27 | | 26 | 7 | | 27 | 8 | | 28 | 72 | | 29 | 62 | | 30 | 21 | | 31 | 39 | | 32 | 96 | | 33 | 15 | | 34 | 54 | | 35 | 17 | | 36 | 6 |
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| 77.56% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 6 | | totalSentences | 76 | | matches | | 0 | "been closed" | | 1 | "been sealed" | | 2 | "was crouched" | | 3 | "been anchored" | | 4 | "been dragged" | | 5 | "been disturbed" |
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| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 8 | | totalVerbs | 146 | | matches | | 0 | "was screaming" | | 1 | "was looking" | | 2 | "wasn't focusing" | | 3 | "was already moving" | | 4 | "wasn't pointing" | | 5 | "wasn't pointing" | | 6 | "was ticking" | | 7 | "was always ticking" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 14 | | semicolonCount | 0 | | flaggedSentences | 10 | | totalSentences | 94 | | ratio | 0.106 | | matches | | 0 | "Now the tile platform lay under a film of grey dust, the curved walls furred with damp, and strung across the whole of it — from the rusted lift shaft to the dead escalator — were lengths of crimson cord, knotted at intervals, hanging like the ribs of some enormous beast." | | 1 | "Both thumbs had deep crescent marks in them, self-inflicted, the skin of her palms flecked with dried blood and — Quinn leaned closer, angling her torch — green residue." | | 2 | "\"Footprints.\" The dust lay undisturbed in a wide halo around both bodies — a metre, maybe more, of untouched grey." | | 3 | "Bone, carved smooth as a river stone, etched with a spiral that hurt to look at for too long — the lines seemed to shift when she wasn't focusing directly on them." | | 4 | "The crimson cords had been anchored at eight points — she counted them — with pitons driven into eighty-year-old concrete." | | 5 | "\"A door?\" Marsh's voice had gone flat, careful — the tone of a copper humoring her superior." | | 6 | "And at the circle's centre, a shallow depression in the dust — a perfect ring, forty centimetres across, where the dust had been disturbed in a spiral pattern, swept inward like water going down a drain." | | 7 | "Of verdigris on her palms — the patina of old brass, handled and handled and handled." | | 8 | "It broke at the tunnel's edge, and there — wedged in the gap between the platform and the tunnel wall, in a shadow no torch had yet reached — brass caught the light." | | 9 | "It spun lazily, then ticked, then settled with a stubborn insistence toward the far end of the dead tunnel — toward a black mouth where no door had ever been." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 887 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 26 | | adverbRatio | 0.029312288613303268 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.009019165727170236 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 94 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 94 | | mean | 14.91 | | std | 12.56 | | cv | 0.842 | | sampleLengths | | 0 | 33 | | 1 | 25 | | 2 | 12 | | 3 | 4 | | 4 | 10 | | 5 | 14 | | 6 | 22 | | 7 | 51 | | 8 | 4 | | 9 | 17 | | 10 | 21 | | 11 | 16 | | 12 | 19 | | 13 | 5 | | 14 | 7 | | 15 | 27 | | 16 | 4 | | 17 | 29 | | 18 | 1 | | 19 | 6 | | 20 | 8 | | 21 | 14 | | 22 | 3 | | 23 | 10 | | 24 | 17 | | 25 | 4 | | 26 | 18 | | 27 | 12 | | 28 | 4 | | 29 | 2 | | 30 | 20 | | 31 | 8 | | 32 | 13 | | 33 | 13 | | 34 | 40 | | 35 | 5 | | 36 | 2 | | 37 | 32 | | 38 | 29 | | 39 | 3 | | 40 | 20 | | 41 | 4 | | 42 | 5 | | 43 | 11 | | 44 | 13 | | 45 | 20 | | 46 | 1 | | 47 | 26 | | 48 | 13 | | 49 | 63 |
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| 87.94% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.5531914893617021 | | totalSentences | 94 | | uniqueOpeners | 52 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 67 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 17 | | totalSentences | 67 | | matches | | 0 | "She paused on the last" | | 1 | "She was crouched near the" | | 2 | "She was looking at Alice" | | 3 | "Her fingernails were split." | | 4 | "She'd seen carvings like that" | | 5 | "Her wrist ached." | | 6 | "She hadn't looked at the" | | 7 | "She let that sit" | | 8 | "She thought of Alice Grant's" | | 9 | "It broke at the tunnel's" | | 10 | "She reached in with two" | | 11 | "It wasn't pointing anywhere in" | | 12 | "It spun lazily, then ticked," | | 13 | "It was ticking." | | 14 | "It was always ticking." | | 15 | "She'd stopped trusting that, quietly," | | 16 | "She started down the tunnel," |
| | ratio | 0.254 | |
| 79.40% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 51 | | totalSentences | 67 | | matches | | 0 | "The smell hit Detective Harlow" | | 1 | "She paused on the last" | | 2 | "This one was screaming in" | | 3 | "The abandoned Tube station beneath" | | 4 | "Someone had died here." | | 5 | "She was crouched near the" | | 6 | "Quinn didn't answer right away." | | 7 | "She was looking at Alice" | | 8 | "The woman lay on her" | | 9 | "Her fingernails were split." | | 10 | "Both thumbs had deep crescent" | | 11 | "The powdery green of old" | | 12 | "Marsh said, following her" | | 13 | "Quinn had noticed." | | 14 | "Quinn stood, knees cracking, and" | | 15 | "Marsh's torch followed hers." | | 16 | "The dust lay undisturbed in" | | 17 | "Quinn crouched again beside Grant" | | 18 | "Something clinked against the concrete." | | 19 | "She'd seen carvings like that" |
| | ratio | 0.761 | |
| 74.63% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 67 | | matches | | 0 | "Now the tile platform lay" |
| | ratio | 0.015 | |
| 66.33% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 28 | | technicalSentenceCount | 3 | | matches | | 0 | "The smell hit Detective Harlow Quinn at the bottom of the stairs: ozone and river mud and something older underneath, like the inside of a church that had been …" | | 1 | "Two someones, according to the uniformed constable who'd met her at the maintenance door on Buck Street." | | 2 | "The woman lay on her side on the platform, one arm thrown out, the other curled toward her chest as if she'd been reaching for something small." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 35 | | tagDensity | 0.171 | | leniency | 0.343 | | rawRatio | 0 | | effectiveRatio | 0 | |