| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 19 | | adverbTagCount | 1 | | adverbTags | | 0 | "Quinn crouched again [again]" |
| | dialogueSentences | 63 | | tagDensity | 0.302 | | leniency | 0.603 | | rawRatio | 0.053 | | effectiveRatio | 0.032 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1268 | | 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) | |
| 84.23% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1268 | | totalAiIsms | 4 | | found | | | highlights | | 0 | "weight" | | 1 | "charm" | | 2 | "etched" | | 3 | "traced" |
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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 | 68 | | matches | (empty) | |
| 79.83% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 0 | | narrationSentences | 68 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 112 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 50 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1268 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 63.29% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 26 | | wordCount | 692 | | uniqueNames | 6 | | maxNameDensity | 1.73 | | worstName | "Pryce" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Pryce" | | discoveredNames | | Camden | 1 | | Road | 1 | | Pryce | 12 | | Quinn | 8 | | Grey | 2 | | Green | 2 |
| | persons | | | places | | | globalScore | 0.633 | | windowScore | 0.833 | |
| 95.65% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 46 | | glossingSentenceCount | 1 | | matches | | 0 | "as if offering her a toast" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.789 | | wordCount | 1268 | | matches | | 0 | "not at the north stair, nor at the lift, but at the blank tiled wall behind the tracks" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 112 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 58 | | mean | 21.86 | | std | 21.68 | | cv | 0.992 | | sampleLengths | | 0 | 48 | | 1 | 7 | | 2 | 3 | | 3 | 63 | | 4 | 17 | | 5 | 38 | | 6 | 5 | | 7 | 57 | | 8 | 53 | | 9 | 6 | | 10 | 7 | | 11 | 3 | | 12 | 5 | | 13 | 45 | | 14 | 7 | | 15 | 27 | | 16 | 4 | | 17 | 86 | | 18 | 15 | | 19 | 9 | | 20 | 11 | | 21 | 8 | | 22 | 8 | | 23 | 13 | | 24 | 4 | | 25 | 5 | | 26 | 52 | | 27 | 4 | | 28 | 12 | | 29 | 38 | | 30 | 4 | | 31 | 36 | | 32 | 30 | | 33 | 2 | | 34 | 32 | | 35 | 11 | | 36 | 8 | | 37 | 51 | | 38 | 3 | | 39 | 68 | | 40 | 21 | | 41 | 9 | | 42 | 7 | | 43 | 5 | | 44 | 7 | | 45 | 49 | | 46 | 4 | | 47 | 3 | | 48 | 6 | | 49 | 6 |
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| 94.94% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 68 | | matches | | 0 | "was etched" | | 1 | "been bricked" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 119 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 112 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 695 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 8 | | adverbRatio | 0.011510791366906475 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 112 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 112 | | mean | 11.32 | | std | 9.44 | | cv | 0.834 | | sampleLengths | | 0 | 13 | | 1 | 25 | | 2 | 10 | | 3 | 7 | | 4 | 3 | | 5 | 6 | | 6 | 27 | | 7 | 8 | | 8 | 7 | | 9 | 15 | | 10 | 17 | | 11 | 24 | | 12 | 14 | | 13 | 5 | | 14 | 26 | | 15 | 31 | | 16 | 6 | | 17 | 25 | | 18 | 3 | | 19 | 2 | | 20 | 6 | | 21 | 11 | | 22 | 6 | | 23 | 7 | | 24 | 3 | | 25 | 2 | | 26 | 3 | | 27 | 23 | | 28 | 22 | | 29 | 7 | | 30 | 23 | | 31 | 4 | | 32 | 2 | | 33 | 2 | | 34 | 18 | | 35 | 44 | | 36 | 24 | | 37 | 8 | | 38 | 7 | | 39 | 9 | | 40 | 11 | | 41 | 7 | | 42 | 1 | | 43 | 8 | | 44 | 13 | | 45 | 4 | | 46 | 5 | | 47 | 7 | | 48 | 10 | | 49 | 14 |
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| 80.36% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.5089285714285714 | | totalSentences | 112 | | uniqueOpeners | 57 | |
| 57.47% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 58 | | matches | | 0 | "Somewhere in the dark tunnel" |
| | ratio | 0.017 | |
| 75.17% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 21 | | totalSentences | 58 | | matches | | 0 | "She stepped out onto the" | | 1 | "She kept her knees together," | | 2 | "She lifted the hem of" | | 3 | "She turned the cuff over" | | 4 | "She pointed the tip of" | | 5 | "She pulled the man's left" | | 6 | "She held her wrist beside" | | 7 | "She rolled the sleeve down" | | 8 | "He worked the coat open" | | 9 | "His hands stopped." | | 10 | "He drew out a small" | | 11 | "He turned it over under" | | 12 | "He thumbed the lid open" | | 13 | "She took it in her" | | 14 | "It pointed not at the" | | 15 | "She stepped left, and it" | | 16 | "She lowered the compass" | | 17 | "He wore the look of" | | 18 | "He glanced down." | | 19 | "She traced the shape in" |
| | ratio | 0.362 | |
| 37.59% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 49 | | totalSentences | 58 | | matches | | 0 | "The lift shaft at Camden" | | 1 | "Quinn rode the service cage" | | 2 | "She stepped out onto the" | | 3 | "Someone had strung work lamps" | | 4 | "A faded roundel on the" | | 5 | "A poster for a music" | | 6 | "DS Pryce pushed off the" | | 7 | "Pryce jerked his chin toward" | | 8 | "Quinn crouched at the man's" | | 9 | "She kept her knees together," | | 10 | "A wedding-ring tan with no" | | 11 | "Blood had pooled under his" | | 12 | "She lifted the hem of" | | 13 | "She turned the cuff over" | | 14 | "She pointed the tip of" | | 15 | "Pryce walked a slow circle" | | 16 | "The cup went still in" | | 17 | "The young officer by the" | | 18 | "Quinn nodded and returned to" | | 19 | "She pulled the man's left" |
| | ratio | 0.845 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 58 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 23 | | technicalSentenceCount | 1 | | matches | | 0 | "He worked the coat open and went through it with the bored competence of a man who had done it a thousand times." |
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| 72.37% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 19 | | uselessAdditionCount | 2 | | matches | | 0 | "DS Pryce pushed, as if offering her a toast" | | 1 | "Quinn closed, and the brass caught the light" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 63 | | tagDensity | 0.079 | | leniency | 0.159 | | rawRatio | 0 | | effectiveRatio | 0 | |