| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 19 | | adverbTagCount | 1 | | adverbTags | | 0 | "Quinn turned back [back]" |
| | dialogueSentences | 72 | | tagDensity | 0.264 | | leniency | 0.528 | | rawRatio | 0.053 | | effectiveRatio | 0.028 | |
| 92.29% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1297 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 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) | |
| 65.30% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1297 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "echoing" | | 1 | "traced" | | 2 | "etched" | | 3 | "quivered" | | 4 | "echoed" | | 5 | "footsteps" | | 6 | "rhythmic" |
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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 | 95 | | matches | (empty) | |
| 97.74% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 95 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 149 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 30 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 10 | | totalWords | 1290 | | ratio | 0.008 | | matches | | 0 | "For finding what's lost" | | 1 | "Or what wants to stay hidden." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 61.50% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 36 | | wordCount | 791 | | uniqueNames | 12 | | maxNameDensity | 1.77 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Detective | 1 | | Harlow | 1 | | Quinn | 14 | | Reeves | 10 | | Tube | 2 | | Clean | 1 | | Morris | 2 | | Forty-one | 1 | | Blitz | 1 | | London | 1 | | Water | 1 | | Camden | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Reeves" | | 3 | "Morris" | | 4 | "Water" |
| | places | | | globalScore | 0.615 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 61 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like decorative scrolling to anyon" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1290 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 149 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 77 | | mean | 16.75 | | std | 13.75 | | cv | 0.821 | | sampleLengths | | 0 | 4 | | 1 | 37 | | 2 | 12 | | 3 | 47 | | 4 | 5 | | 5 | 32 | | 6 | 38 | | 7 | 8 | | 8 | 1 | | 9 | 10 | | 10 | 36 | | 11 | 10 | | 12 | 5 | | 13 | 3 | | 14 | 42 | | 15 | 2 | | 16 | 3 | | 17 | 31 | | 18 | 41 | | 19 | 34 | | 20 | 37 | | 21 | 2 | | 22 | 7 | | 23 | 25 | | 24 | 10 | | 25 | 24 | | 26 | 5 | | 27 | 52 | | 28 | 7 | | 29 | 9 | | 30 | 18 | | 31 | 2 | | 32 | 23 | | 33 | 18 | | 34 | 9 | | 35 | 12 | | 36 | 14 | | 37 | 1 | | 38 | 3 | | 39 | 33 | | 40 | 14 | | 41 | 5 | | 42 | 8 | | 43 | 28 | | 44 | 37 | | 45 | 4 | | 46 | 15 | | 47 | 14 | | 48 | 3 | | 49 | 45 |
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| 97.88% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 95 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 136 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 149 | | ratio | 0.007 | | matches | | 0 | "The victim—a male in his mid-thirties, expensive suit, expensive watch, expensive life—sat propped against the tiled wall like someone had positioned him there." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 485 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 15 | | adverbRatio | 0.030927835051546393 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.008247422680412371 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 149 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 149 | | mean | 8.66 | | std | 6.41 | | cv | 0.741 | | sampleLengths | | 0 | 4 | | 1 | 23 | | 2 | 14 | | 3 | 9 | | 4 | 3 | | 5 | 23 | | 6 | 23 | | 7 | 1 | | 8 | 5 | | 9 | 20 | | 10 | 12 | | 11 | 14 | | 12 | 1 | | 13 | 10 | | 14 | 8 | | 15 | 5 | | 16 | 8 | | 17 | 1 | | 18 | 10 | | 19 | 3 | | 20 | 14 | | 21 | 2 | | 22 | 2 | | 23 | 1 | | 24 | 14 | | 25 | 10 | | 26 | 5 | | 27 | 3 | | 28 | 15 | | 29 | 27 | | 30 | 2 | | 31 | 3 | | 32 | 11 | | 33 | 15 | | 34 | 5 | | 35 | 11 | | 36 | 30 | | 37 | 13 | | 38 | 6 | | 39 | 15 | | 40 | 6 | | 41 | 15 | | 42 | 16 | | 43 | 2 | | 44 | 6 | | 45 | 1 | | 46 | 15 | | 47 | 10 | | 48 | 10 | | 49 | 19 |
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| 82.10% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.5167785234899329 | | totalSentences | 149 | | uniqueOpeners | 77 | |
| 82.30% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 81 | | matches | | 0 | "Too clean for someone who'd" | | 1 | "Somewhere in the black, water" |
| | ratio | 0.025 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 15 | | totalSentences | 81 | | matches | | 0 | "His palms should have been" | | 1 | "She pulled on gloves and" | | 2 | "She pressed the back of" | | 3 | "She pointed at the subtle" | | 4 | "His jaw worked like he" | | 5 | "He tucked his notebook away" | | 6 | "He stepped under the tape" | | 7 | "His shirt, dry." | | 8 | "His trousers, dry." | | 9 | "His face shifted from impatience" | | 10 | "She walked toward the right-hand" | | 11 | "She'd bought it at a" | | 12 | "She ran her fingers along" | | 13 | "She traced the pattern" | | 14 | "His frown deepened." |
| | ratio | 0.185 | |
| 64.94% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 64 | | totalSentences | 81 | | matches | | 0 | "The body was wrong." | | 1 | "This body was wrong in" | | 2 | "Quinn crouched beside the corpse" | | 3 | "The victim—a male in his" | | 4 | "Reeves shrugged with the particular" | | 5 | "Quinn tilted her head, studying" | | 6 | "His palms should have been" | | 7 | "Quinn leaned closer." | | 8 | "The victim's face held an" | | 9 | "She pulled on gloves and" | | 10 | "Reeves checked his notes" | | 11 | "Quinn stood, her knees popping" | | 12 | "Reeves gestured toward the tunnel" | | 13 | "The tunnel stretched in both" | | 14 | "A steady, metronomic sound that" | | 15 | "Quinn had walked these tunnels" | | 16 | "The old Tube stations, the" | | 17 | "Reeves looked up from his" | | 18 | "She pressed the back of" | | 19 | "Quinn moved to the access" |
| | ratio | 0.79 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 81 | | matches | | 0 | "To her left, the direction" | | 1 | "To her right, deeper into" | | 2 | "*Or what wants to stay" |
| | ratio | 0.037 | |
| 44.33% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 29 | | technicalSentenceCount | 4 | | matches | | 0 | "This body was wrong in a way that made Detective Harlow Quinn's teeth ache." | | 1 | "A steady, metronomic sound that had probably been echoing through these passages since the Blitz." | | 2 | "The old Tube stations, the wartime shelters, the passages that connected buildings that shouldn't be connected." | | 3 | "The casing had a patina of verdigris, the face etched with symbols that would have looked like decorative scrolling to anyone who didn't know better." |
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| 98.68% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 19 | | uselessAdditionCount | 1 | | matches | | 0 | "Quinn stood, her knees popping" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 2 | | fancyTags | | 0 | "She pressed (press)" | | 1 | "she breathed (breathe)" |
| | dialogueSentences | 72 | | tagDensity | 0.042 | | leniency | 0.083 | | rawRatio | 0.667 | | effectiveRatio | 0.056 | |