| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 17 | | adverbTagCount | 2 | | adverbTags | | 0 | "Quinn crouched again [again]" | | 1 | "she said quietly [quietly]" |
| | dialogueSentences | 54 | | tagDensity | 0.315 | | leniency | 0.63 | | rawRatio | 0.118 | | effectiveRatio | 0.074 | |
| 82.13% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1119 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "slightly" | | 1 | "slowly" | | 2 | "gently" | | 3 | "very" |
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| 80.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 95.53% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1119 | | 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 | 73 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 73 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 110 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 39 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 1133 | | ratio | 0.001 | | matches | | |
| 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 | 21 | | wordCount | 793 | | uniqueNames | 10 | | maxNameDensity | 0.88 | | worstName | "Walsh" | | maxWindowNameDensity | 2 | | worstWindowName | "Walsh" | | discoveredNames | | Quinn | 4 | | Patel | 1 | | Walsh | 7 | | Northern | 1 | | Line | 1 | | Deptford | 1 | | Morris | 1 | | Eva | 3 | | English | 1 | | Met | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Patel" | | 2 | "Walsh" | | 3 | "Line" | | 4 | "Morris" | | 5 | "Eva" | | 6 | "Met" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 87.50% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 40 | | glossingSentenceCount | 1 | | matches | | 0 | "quite settle on, as though the wall were breathing slightly out of time" |
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| 23.48% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.765 | | wordCount | 1133 | | matches | | 0 | "not to black, but to a colour she would have sworn was not in the tile before" | | 1 | "not with blood but with a fine pale dust, the same dust as the ring" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 110 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 57 | | mean | 19.88 | | std | 22.56 | | cv | 1.135 | | sampleLengths | | 0 | 24 | | 1 | 67 | | 2 | 5 | | 3 | 12 | | 4 | 2 | | 5 | 2 | | 6 | 55 | | 7 | 56 | | 8 | 22 | | 9 | 1 | | 10 | 1 | | 11 | 10 | | 12 | 3 | | 13 | 77 | | 14 | 4 | | 15 | 23 | | 16 | 2 | | 17 | 9 | | 18 | 23 | | 19 | 3 | | 20 | 26 | | 21 | 1 | | 22 | 50 | | 23 | 3 | | 24 | 8 | | 25 | 5 | | 26 | 9 | | 27 | 71 | | 28 | 7 | | 29 | 3 | | 30 | 3 | | 31 | 3 | | 32 | 1 | | 33 | 1 | | 34 | 45 | | 35 | 74 | | 36 | 8 | | 37 | 4 | | 38 | 48 | | 39 | 22 | | 40 | 1 | | 41 | 14 | | 42 | 2 | | 43 | 21 | | 44 | 14 | | 45 | 51 | | 46 | 1 | | 47 | 9 | | 48 | 45 | | 49 | 9 |
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| 90.84% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 73 | | matches | | 0 | "been rigged" | | 1 | "was crouched" | | 2 | "been were" |
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| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 6 | | totalVerbs | 139 | | matches | | 0 | "was still laughing" | | 1 | "were breathing" | | 2 | "was almost looking" | | 3 | "was going" | | 4 | "was lying" | | 5 | "was staring" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 2 | | flaggedSentences | 9 | | totalSentences | 110 | | ratio | 0.082 | | matches | | 0 | "The smell hit Quinn before the scene did — ozone, and beneath it, something older." | | 1 | "Camden above was still laughing itself through last orders; down here, the laughter stopped at the turnstiles." | | 2 | "A uniform she half-recognised — Patel, round-faced, new — handed her a torch without speaking." | | 3 | "Eighteen years, and she still felt it in her knees when she went underground — the instinct that said bodies and basements belonged together and neither of them belonged to her." | | 4 | "Not dirty; not cracked." | | 5 | "It was fine, pale, almost luminous — a powder sieved into a ring about ten feet across, with marks around its circumference that her eyes tried to slide off." | | 6 | "Her torch beam slid over the tiles, and there — she stopped it, tracked back." | | 7 | "The patch stayed lit for a breath after the beam left it, then faded — not to black, but to a colour she would have sworn was not in the tile before." | | 8 | "Not much — two feet to the left, closer to the tunnel mouth — but it had moved, and the tiles beneath where it had been were dry." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 787 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 25 | | adverbRatio | 0.03176620076238882 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.008894536213468869 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 110 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 110 | | mean | 10.3 | | std | 9.46 | | cv | 0.918 | | sampleLengths | | 0 | 15 | | 1 | 2 | | 2 | 7 | | 3 | 24 | | 4 | 17 | | 5 | 15 | | 6 | 3 | | 7 | 8 | | 8 | 5 | | 9 | 12 | | 10 | 2 | | 11 | 2 | | 12 | 24 | | 13 | 31 | | 14 | 6 | | 15 | 22 | | 16 | 4 | | 17 | 1 | | 18 | 23 | | 19 | 12 | | 20 | 10 | | 21 | 1 | | 22 | 1 | | 23 | 5 | | 24 | 5 | | 25 | 3 | | 26 | 22 | | 27 | 29 | | 28 | 16 | | 29 | 5 | | 30 | 5 | | 31 | 4 | | 32 | 9 | | 33 | 14 | | 34 | 2 | | 35 | 9 | | 36 | 13 | | 37 | 4 | | 38 | 6 | | 39 | 3 | | 40 | 26 | | 41 | 1 | | 42 | 3 | | 43 | 33 | | 44 | 14 | | 45 | 3 | | 46 | 8 | | 47 | 5 | | 48 | 9 | | 49 | 3 |
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| 71.21% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.4818181818181818 | | totalSentences | 110 | | uniqueOpeners | 53 | |
| 56.50% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 59 | | matches | | 0 | "Only the stump was marked," |
| | ratio | 0.017 | |
| 36.95% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 27 | | totalSentences | 59 | | matches | | 0 | "She ducked beneath the tape" | | 1 | "He'd been crying." | | 2 | "He didn't know yet that" | | 3 | "She clicked the torch on" | | 4 | "He stood when he saw" | | 5 | "She looked down." | | 6 | "It was fine, pale, almost" | | 7 | "His right hand was open." | | 8 | "His left was not there." | | 9 | "She didn't know why." | | 10 | "She told herself it was" | | 11 | "He waved at the missing" | | 12 | "She stood slowly." | | 13 | "Her torch beam slid over" | | 14 | "She moved the torch away" | | 15 | "Her mouth had gone dry." | | 16 | "She had asked once, at" | | 17 | "They had looked at her" | | 18 | "She pointed with the torch" | | 19 | "She traced the scuff with" |
| | ratio | 0.458 | |
| 44.75% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 49 | | totalSentences | 59 | | matches | | 0 | "The smell hit Quinn before" | | 1 | "She ducked beneath the tape" | | 2 | "Camden above was still laughing" | | 3 | "A uniform she half-recognised —" | | 4 | "He'd been crying." | | 5 | "He didn't know yet that" | | 6 | "She clicked the torch on" | | 7 | "The platform opened like a" | | 8 | "Arc lamps had been rigged" | | 9 | "A faint sheen crawled across" | | 10 | "Walsh was crouched by the" | | 11 | "He stood when he saw" | | 12 | "She looked down." | | 13 | "Someone had drawn a circle" | | 14 | "It was fine, pale, almost" | | 15 | "His right hand was open." | | 16 | "His left was not there." | | 17 | "Walsh rocked on his heels" | | 18 | "Quinn crouched at the edge" | | 19 | "She didn't know why." |
| | ratio | 0.831 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 59 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 29 | | technicalSentenceCount | 1 | | matches | | 0 | "Eva, with her satchel full of books and her habit of pushing her glasses up with one knuckle and saying things like *apotropaic* as though they were ordinary En…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 17 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 54 | | tagDensity | 0.13 | | leniency | 0.259 | | rawRatio | 0 | | effectiveRatio | 0 | |