| 40.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 2 | | adverbTags | | 0 | "He gestured vaguely [vaguely]" | | 1 | "she said quietly [quietly]" |
| | dialogueSentences | 25 | | tagDensity | 0.44 | | leniency | 0.88 | | rawRatio | 0.182 | | effectiveRatio | 0.16 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1284 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 76.64% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1284 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "unsettled" | | 1 | "silence" | | 2 | "etched" | | 3 | "unwavering" | | 4 | "weight" |
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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 | 88 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 88 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 101 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 51 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1296 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 30 | | wordCount | 1041 | | uniqueNames | 10 | | maxNameDensity | 0.96 | | worstName | "Reeves" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Reeves" | | discoveredNames | | Chalk | 1 | | Farm | 1 | | Harlow | 1 | | Quinn | 8 | | Dawson | 1 | | King | 2 | | Cross | 2 | | Morris | 3 | | Bovril | 1 | | Reeves | 10 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Dawson" | | 3 | "King" | | 4 | "Cross" | | 5 | "Morris" | | 6 | "Reeves" |
| | places | | | globalScore | 1 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 58 | | glossingSentenceCount | 1 | | matches | | |
| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 3 | | per1kWords | 2.315 | | wordCount | 1296 | | matches | | 0 | "not forced, exactly, but handled" | | 1 | "not a fear she would have admitted to anyone, not even the duty sergeant, but her shoulders had been climbing toward her ears since the ca" | | 2 | "not even the duty sergeant, but her shoulders had been climbing toward her ears since the ca" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 101 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 34 | | mean | 38.12 | | std | 30.82 | | cv | 0.808 | | sampleLengths | | 0 | 67 | | 1 | 119 | | 2 | 74 | | 3 | 47 | | 4 | 45 | | 5 | 2 | | 6 | 24 | | 7 | 19 | | 8 | 24 | | 9 | 3 | | 10 | 15 | | 11 | 26 | | 12 | 122 | | 13 | 26 | | 14 | 84 | | 15 | 44 | | 16 | 73 | | 17 | 6 | | 18 | 3 | | 19 | 60 | | 20 | 55 | | 21 | 24 | | 22 | 8 | | 23 | 31 | | 24 | 64 | | 25 | 50 | | 26 | 14 | | 27 | 5 | | 28 | 24 | | 29 | 23 | | 30 | 5 | | 31 | 55 | | 32 | 39 | | 33 | 16 |
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| 73.37% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 8 | | totalSentences | 88 | | matches | | 0 | "been sealed" | | 1 | "been found" | | 2 | "were gone" | | 3 | "been scratched" | | 4 | "been laid" | | 5 | "been brushed" | | 6 | "been found" | | 7 | "was cracked" |
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| 6.20% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 5 | | totalVerbs | 172 | | matches | | 0 | "was doing" | | 1 | "was pointing" | | 2 | "was losing" | | 3 | "was watching" | | 4 | "was waiting" |
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| 29.70% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 101 | | ratio | 0.04 | | matches | | 0 | "Detective Harlow Quinn noted the fresh scrape marks on the padlock — not forced, exactly, but handled." | | 1 | "Three years ago, in a place not so different from this one — a disused service tunnel near King's Cross — her partner had walked into a wall of fog that had no business existing and had not come back out." | | 2 | "His clothes — a dark coat, a woollen jumper, good shoes — were undisturbed." | | 3 | "Not brass — plastic, a cheap thing from a petrol station." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1042 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 33 | | adverbRatio | 0.03166986564299424 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.007677543186180422 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 101 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 101 | | mean | 12.83 | | std | 11.04 | | cv | 0.861 | | sampleLengths | | 0 | 18 | | 1 | 17 | | 2 | 1 | | 3 | 31 | | 4 | 5 | | 5 | 43 | | 6 | 41 | | 7 | 9 | | 8 | 6 | | 9 | 15 | | 10 | 12 | | 11 | 4 | | 12 | 33 | | 13 | 19 | | 14 | 2 | | 15 | 4 | | 16 | 33 | | 17 | 3 | | 18 | 11 | | 19 | 8 | | 20 | 37 | | 21 | 2 | | 22 | 14 | | 23 | 10 | | 24 | 3 | | 25 | 16 | | 26 | 13 | | 27 | 11 | | 28 | 3 | | 29 | 13 | | 30 | 2 | | 31 | 3 | | 32 | 23 | | 33 | 23 | | 34 | 5 | | 35 | 28 | | 36 | 25 | | 37 | 25 | | 38 | 4 | | 39 | 12 | | 40 | 2 | | 41 | 2 | | 42 | 8 | | 43 | 14 | | 44 | 14 | | 45 | 5 | | 46 | 24 | | 47 | 36 | | 48 | 5 | | 49 | 4 |
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| 62.71% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 15 | | diversityRatio | 0.46534653465346537 | | totalSentences | 101 | | uniqueOpeners | 47 | |
| 42.19% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 79 | | matches | | 0 | "Almost sweet, like woodsmoke and" |
| | ratio | 0.013 | |
| 57.97% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 32 | | totalSentences | 79 | | matches | | 0 | "She ducked under the police" | | 1 | "She did not like undergrounds." | | 2 | "It grew thicker, warmer." | | 3 | "He still believed the world" | | 4 | "He fell into step beside" | | 5 | "She let the silence do" | | 6 | "They did see." | | 7 | "They curved and interlocked with" | | 8 | "He had been a big" | | 9 | "His eyes were closed." | | 10 | "His mouth was set in" | | 11 | "His clothes — a dark" | | 12 | "Her torch beam moved methodically." | | 13 | "She leaned closer without touching." | | 14 | "It was a compass." | | 15 | "It pointed, with the quiet" | | 16 | "He gestured vaguely at the" | | 17 | "She did not look up" | | 18 | "She rose, knees protesting, and" | | 19 | "She trained the torch down" |
| | ratio | 0.405 | |
| 48.61% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 65 | | totalSentences | 79 | | matches | | 0 | "The entrance to Chalk Farm" | | 1 | "Detective Harlow Quinn noted the" | | 2 | "She ducked under the police" | | 3 | "She did not like undergrounds." | | 4 | "That was not a fear" | | 5 | "DS Morris's body had been" | | 6 | "The post-mortem had said heart" | | 7 | "Quinn had read the report" | | 8 | "It grew thicker, warmer." | | 9 | "The station stretched out before" | | 10 | "The tracks were gone, of" | | 11 | "DC Reeves met her at" | | 12 | "Reeves was young." | | 13 | "He still believed the world" | | 14 | "He fell into step beside" | | 15 | "Quinn said nothing." | | 16 | "She let the silence do" | | 17 | "Reeves added, almost relieved to" | | 18 | "Reeves glanced over his shoulder," | | 19 | "They did see." |
| | ratio | 0.823 | |
| 63.29% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 79 | | matches | | 0 | "Now she descended another flight" |
| | ratio | 0.013 | |
| 46.33% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 37 | | technicalSentenceCount | 5 | | matches | | 0 | "Three years ago, in a place not so different from this one — a disused service tunnel near King's Cross — her partner had walked into a wall of fog that had no …" | | 1 | "The station stretched out before her, broad platform still bearing the ghosts of advertisements for wartime holidays and Bovril, the tiled walls slick with cond…" | | 2 | "They curved and interlocked with a precision that suggested the hand that drew them had known exactly what it was doing, had perhaps done it many times before." | | 3 | "At the brass compass, its needle unwavering, pointing at whatever it was pointing at." | | 4 | "Something that cleaned the shoes of its dead and pointed compasses at tunnels that breathed." |
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| 79.55% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 1 | | matches | | 0 | "she said, half to herself" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 25 | | tagDensity | 0.24 | | leniency | 0.48 | | rawRatio | 0.167 | | effectiveRatio | 0.08 | |