| 57.14% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 3 | | adverbTags | | 0 | "She looked around [around]" | | 1 | "Quinn said pleasantly [pleasantly]" | | 2 | "she said slowly [slowly]" |
| | dialogueSentences | 42 | | tagDensity | 0.429 | | leniency | 0.857 | | rawRatio | 0.167 | | effectiveRatio | 0.143 | |
| 79.69% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1477 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "slowly" | | 1 | "carefully" | | 2 | "very" |
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| 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) | |
| 83.07% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1477 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "furrowed" | | 1 | "etched" | | 2 | "magnetic" | | 3 | "footsteps" |
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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 | 1 | | narrationSentences | 92 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 92 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 115 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 53 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1493 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 32 | | wordCount | 986 | | uniqueNames | 9 | | maxNameDensity | 1.62 | | worstName | "Quinn" | | maxWindowNameDensity | 4 | | worstWindowName | "Quinn" | | discoveredNames | | Quinn | 16 | | Camden | 1 | | Road | 1 | | Northern | 1 | | Farrell | 6 | | Kowalski | 2 | | Eva | 2 | | Nils | 1 | | Bergman | 2 |
| | persons | | 0 | "Quinn" | | 1 | "Farrell" | | 2 | "Kowalski" | | 3 | "Eva" | | 4 | "Nils" | | 5 | "Bergman" |
| | places | | | globalScore | 0.689 | | windowScore | 0.333 | |
| 43.62% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 47 | | glossingSentenceCount | 2 | | matches | | 0 | "seemed somehow reluctant to penetrate the far ends of the space" | | 1 | "appeared under the incident tape was short, freckled, and breathing hard, her curly red hair escaping a knot at her neck" |
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| 66.04% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.34 | | wordCount | 1493 | | matches | | 0 | "not from neglect, she thought, but from age of a particular kind" | | 1 | "not guilt exactly, but something adjacent to it" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 115 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 55 | | mean | 27.15 | | std | 29.57 | | cv | 1.089 | | sampleLengths | | 0 | 51 | | 1 | 12 | | 2 | 116 | | 3 | 32 | | 4 | 12 | | 5 | 10 | | 6 | 68 | | 7 | 6 | | 8 | 54 | | 9 | 52 | | 10 | 6 | | 11 | 15 | | 12 | 4 | | 13 | 1 | | 14 | 62 | | 15 | 9 | | 16 | 20 | | 17 | 5 | | 18 | 24 | | 19 | 108 | | 20 | 5 | | 21 | 7 | | 22 | 16 | | 23 | 5 | | 24 | 6 | | 25 | 9 | | 26 | 31 | | 27 | 18 | | 28 | 101 | | 29 | 13 | | 30 | 42 | | 31 | 14 | | 32 | 2 | | 33 | 2 | | 34 | 107 | | 35 | 12 | | 36 | 27 | | 37 | 95 | | 38 | 11 | | 39 | 9 | | 40 | 8 | | 41 | 49 | | 42 | 5 | | 43 | 16 | | 44 | 35 | | 45 | 27 | | 46 | 8 | | 47 | 7 | | 48 | 12 | | 49 | 8 |
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| 90.01% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 92 | | matches | | 0 | "been sealed" | | 1 | "being made" | | 2 | "been handled" | | 3 | "was etched" |
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| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 8 | | totalVerbs | 178 | | matches | | 0 | "was waiting" | | 1 | "was lying" | | 2 | "was still working" | | 3 | "was pointing" | | 4 | "wasn't tracking" | | 5 | "was still looking" | | 6 | "were deciding" | | 7 | "was still pointing" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 115 | | ratio | 0.061 | | matches | | 0 | "The smell hit Quinn before she reached the bottom of the emergency access stairs — damp concrete and old iron, the mineral rot of a space that hadn't seen proper ventilation in decades, and beneath all of it something else." | | 1 | "The platform was still intact — the original green and cream tiles, the ghost of a station name someone had scrubbed to illegibility, the curved ceiling overhead pressing down like the inside of a ribcage." | | 2 | "Not afraid — she knew fear on a dead face, the slack jaw and the furrowed brow, the body's final protest." | | 3 | "The casing was warm despite the cold of the station, and the metal had gone green at the seams — not from neglect, she thought, but from age of a particular kind." | | 4 | "The face was etched with markings she didn't immediately recognise — fine lines and angular symbols arranged in concentric rings around the central dial." | | 5 | "Quinn was still looking at the far end of the platform when she heard footsteps on the access stairs — lighter than her own, quicker." | | 6 | "She stopped when she saw Quinn and the composure in her face did something complicated — not guilt exactly, but something adjacent to it." |
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| 95.91% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 985 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 44 | | adverbRatio | 0.04467005076142132 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.01116751269035533 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 115 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 115 | | mean | 12.98 | | std | 11.25 | | cv | 0.867 | | sampleLengths | | 0 | 40 | | 1 | 11 | | 2 | 12 | | 3 | 17 | | 4 | 27 | | 5 | 35 | | 6 | 37 | | 7 | 9 | | 8 | 23 | | 9 | 3 | | 10 | 9 | | 11 | 10 | | 12 | 7 | | 13 | 4 | | 14 | 29 | | 15 | 28 | | 16 | 6 | | 17 | 54 | | 18 | 17 | | 19 | 5 | | 20 | 4 | | 21 | 26 | | 22 | 6 | | 23 | 15 | | 24 | 4 | | 25 | 1 | | 26 | 2 | | 27 | 1 | | 28 | 26 | | 29 | 3 | | 30 | 21 | | 31 | 3 | | 32 | 4 | | 33 | 2 | | 34 | 9 | | 35 | 5 | | 36 | 15 | | 37 | 5 | | 38 | 5 | | 39 | 19 | | 40 | 9 | | 41 | 10 | | 42 | 32 | | 43 | 2 | | 44 | 19 | | 45 | 4 | | 46 | 24 | | 47 | 4 | | 48 | 4 | | 49 | 5 |
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| 69.86% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.4608695652173913 | | totalSentences | 115 | | uniqueOpeners | 53 | |
| 88.89% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 75 | | matches | | 0 | "Somewhere in her mid-twenties." | | 1 | "Still certain of something she" |
| | ratio | 0.027 | |
| 81.33% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 26 | | totalSentences | 75 | | matches | | 0 | "She ducked under the incident" | | 1 | "It sat beneath the Camden" | | 2 | "He had his notebook out" | | 3 | "She glanced at him, then" | | 4 | "He was lying on his" | | 5 | "she repeated, not as agreement" | | 6 | "She counted the work lights." | | 7 | "She counted the officers." | | 8 | "She looked at the tiles" | | 9 | "His expression was open." | | 10 | "She stood and kept moving." | | 11 | "He came over, peered down." | | 12 | "She turned it over." | | 13 | "She tilted it left." | | 14 | "She tilted it right." | | 15 | "It wasn't tracking magnetic north." | | 16 | "She straightened, still holding the" | | 17 | "She looked around the platform" | | 18 | "She gestured along the platform" | | 19 | "She turned the compass over" |
| | ratio | 0.347 | |
| 33.33% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 64 | | totalSentences | 75 | | matches | | 0 | "The smell hit Quinn before" | | 1 | "Something charred and chemical that" | | 2 | "She ducked under the incident" | | 3 | "The abandoned station had been" | | 4 | "It sat beneath the Camden" | | 5 | "The platform was still intact" | | 6 | "DC Farrell was waiting for" | | 7 | "He had his notebook out" | | 8 | "She glanced at him, then" | | 9 | "The deceased was male, mid-forties," | | 10 | "He was lying on his" | | 11 | "she repeated, not as agreement" | | 12 | "Quinn walked slowly around the" | | 13 | "She counted the work lights." | | 14 | "She counted the officers." | | 15 | "She looked at the tiles" | | 16 | "Bergman looked surprised." | | 17 | "This was different." | | 18 | "His expression was open." | | 19 | "She stood and kept moving." |
| | ratio | 0.853 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 75 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 32 | | technicalSentenceCount | 8 | | matches | | 0 | "The smell hit Quinn before she reached the bottom of the emergency access stairs — damp concrete and old iron, the mineral rot of a space that hadn't seen prope…" | | 1 | "It sat beneath the Camden Road junction, swallowed by the Northern line expansion that had rerouted everything and left this particular stretch of tunnel to gat…" | | 2 | "The kind that accumulated in things that had been handled by many different hands over a very long time." | | 3 | "At the needle still pressing east-northeast with a kind of insistence that made the hairs on her forearm stand up through the latex." | | 4 | "The woman who appeared under the incident tape was short, freckled, and breathing hard, her curly red hair escaping a knot at her neck." | | 5 | "She wore a leather satchel slung across one shoulder that was clearly heavy, its strap creasing the shoulder of her jacket." | | 6 | "The kind of careful neutral expression that people built when they had relevant information they were deciding whether to volunteer." | | 7 | "Eva Kowalski's left hand moved upward, tucked a loose strand of hair behind her ear, and then dropped back to her side with visible deliberateness, as though sh…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 42 | | tagDensity | 0.262 | | leniency | 0.524 | | rawRatio | 0.091 | | effectiveRatio | 0.048 | |