| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 26 | | tagDensity | 0.385 | | leniency | 0.769 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 86.65% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1124 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "completely" | | 1 | "very" | | 2 | "slowly" |
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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) | |
| 95.55% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1124 | | totalAiIsms | 1 | | found | | | highlights | | |
| 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 | 78 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 78 | | filterMatches | | | hedgeMatches | | |
| 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 | | maxSentenceWordsSeen | 51 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1131 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 22 | | wordCount | 926 | | uniqueNames | 6 | | maxNameDensity | 0.97 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Vance" | | discoveredNames | | Harlow | 1 | | Quinn | 9 | | Tube | 1 | | Petra | 1 | | Vance | 9 | | Morris | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Petra" | | 3 | "Vance" | | 4 | "Morris" |
| | places | (empty) | | globalScore | 1 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 55 | | glossingSentenceCount | 1 | | matches | | 0 | "appeared beside her, holding her own torch, twenty-eight years old and already carrying the careful neutrality of someone who had learned not to express opinions before her senior officer" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.884 | | wordCount | 1131 | | matches | | 0 | "Not the clouded silver of cataract or death, but a clean, bright silver, like polished coin" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 93 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 42 | | mean | 26.93 | | std | 26.69 | | cv | 0.991 | | sampleLengths | | 0 | 40 | | 1 | 58 | | 2 | 5 | | 3 | 15 | | 4 | 58 | | 5 | 11 | | 6 | 6 | | 7 | 50 | | 8 | 9 | | 9 | 8 | | 10 | 124 | | 11 | 11 | | 12 | 5 | | 13 | 80 | | 14 | 53 | | 15 | 23 | | 16 | 8 | | 17 | 5 | | 18 | 34 | | 19 | 1 | | 20 | 13 | | 21 | 38 | | 22 | 22 | | 23 | 72 | | 24 | 12 | | 25 | 22 | | 26 | 7 | | 27 | 10 | | 28 | 75 | | 29 | 29 | | 30 | 6 | | 31 | 27 | | 32 | 5 | | 33 | 2 | | 34 | 19 | | 35 | 3 | | 36 | 6 | | 37 | 2 | | 38 | 57 | | 39 | 43 | | 40 | 33 | | 41 | 24 |
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| 96.27% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 78 | | matches | | 0 | "was gone" | | 1 | "were folded" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 151 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 12 | | semicolonCount | 0 | | flaggedSentences | 10 | | totalSentences | 93 | | ratio | 0.108 | | matches | | 0 | "Camden Tube — the one that never opened, the one that didn't appear on any map issued after 1942." | | 1 | "She'd clocked it the moment she stepped off the maintenance ladder — a long section of the platform edge broken away, the concrete debris sitting on the track bed in a pattern that made no sense for simple decay." | | 2 | "The torchlight slid over the old station walls — faded green tiling, a few rusted advertising frames still bolted up, one of them holding the ghost of a wartime poster, the ink long since bled to illegibility." | | 3 | "Not a few of them — dozens." | | 4 | "Quinn walked the length of the market, taking her time, stepping around a knocked-over lantern, a leather-bound book with its pages fanned open, what appeared to be a glass jar filled with dried flowers or possibly teeth — she'd come back to that — and stopped when she reached the shape." | | 5 | "She looked at the man's coat, his hands — no drag marks on the platform, no scuff on his palms, no indication he'd crawled." | | 6 | "Not swept — the platform stone beneath was clean in a way that stone left alone for eighty years was never clean." | | 7 | "It had edges that caught faintly — she tilted her torch until the angle was right — faint lines in the stone itself." | | 8 | "Recent — the scratches were bright against the old glaze, the ceramic dust still sitting in the grooves." | | 9 | "She kept her face as she always kept it — still, readable as nothing." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 918 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 28 | | adverbRatio | 0.030501089324618737 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.007625272331154684 | |
| 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 | 12.16 | | std | 9.7 | | cv | 0.798 | | sampleLengths | | 0 | 21 | | 1 | 19 | | 2 | 19 | | 3 | 12 | | 4 | 6 | | 5 | 21 | | 6 | 5 | | 7 | 11 | | 8 | 4 | | 9 | 3 | | 10 | 39 | | 11 | 6 | | 12 | 10 | | 13 | 11 | | 14 | 6 | | 15 | 36 | | 16 | 14 | | 17 | 9 | | 18 | 8 | | 19 | 8 | | 20 | 37 | | 21 | 9 | | 22 | 7 | | 23 | 13 | | 24 | 7 | | 25 | 17 | | 26 | 11 | | 27 | 15 | | 28 | 2 | | 29 | 7 | | 30 | 2 | | 31 | 5 | | 32 | 18 | | 33 | 11 | | 34 | 51 | | 35 | 2 | | 36 | 23 | | 37 | 11 | | 38 | 4 | | 39 | 13 | | 40 | 7 | | 41 | 16 | | 42 | 8 | | 43 | 5 | | 44 | 10 | | 45 | 24 | | 46 | 1 | | 47 | 13 | | 48 | 11 | | 49 | 3 |
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| 85.30% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.5376344086021505 | | totalSentences | 93 | | uniqueOpeners | 50 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 64 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 16 | | totalSentences | 64 | | matches | | 0 | "She'd been down here once" | | 1 | "She'd clocked it the moment" | | 2 | "She crouched down and looked" | | 3 | "He lay on his back" | | 4 | "His eyes were open and" | | 5 | "She looked at the man's" | | 6 | "She studied the sole of" | | 7 | "She didn't step inside it." | | 8 | "She studied it from where" | | 9 | "It wasn't quite circular." | | 10 | "It had edges that caught" | | 11 | "She photographed them with her" | | 12 | "She photographed them again." | | 13 | "She crouched at the edge" | | 14 | "She had seen one of" | | 15 | "She kept her face as" |
| | ratio | 0.25 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 45 | | totalSentences | 64 | | matches | | 0 | "The abandoned station smelled of" | | 1 | "Detective Harlow Quinn ducked under" | | 2 | "Camden Tube — the one" | | 3 | "She'd been down here once" | | 4 | "A body found by urban" | | 5 | "Tonight it was something else." | | 6 | "Quinn already knew." | | 7 | "She'd clocked it the moment" | | 8 | "The pieces faced inward, not" | | 9 | "She crouched down and looked" | | 10 | "Vance appeared beside her, holding" | | 11 | "Quinn stood and turned in" | | 12 | "The torchlight slid over the" | | 13 | "A pewter cup on its" | | 14 | "A set of scales with" | | 15 | "Items scattered across the ground" | | 16 | "That was what the call" | | 17 | "Vance pointed her torch toward" | | 18 | "Quinn walked the length of" | | 19 | "He lay on his back" |
| | ratio | 0.703 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 64 | | matches | | 0 | "Even then the place had" | | 1 | "As if something had pushed" | | 2 | "Either very old or made" |
| | ratio | 0.047 | |
| 61.22% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 35 | | technicalSentenceCount | 4 | | matches | | 0 | "She'd clocked it the moment she stepped off the maintenance ladder — a long section of the platform edge broken away, the concrete debris sitting on the track b…" | | 1 | "Quinn walked the length of the market, taking her time, stepping around a knocked-over lantern, a leather-bound book with its pages fanned open, what appeared t…" | | 2 | "Mid-forties, dressed in a long coat that might have been oilskin once and was now something else, something that caught the torchlight strangely." | | 3 | "It had edges that caught faintly — she tilted her torch until the angle was right — faint lines in the stone itself." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 26 | | tagDensity | 0.269 | | leniency | 0.538 | | rawRatio | 0.143 | | effectiveRatio | 0.077 | |