| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 22 | | adverbTagCount | 1 | | adverbTags | | 0 | "He gestured vaguely [vaguely]" |
| | dialogueSentences | 56 | | tagDensity | 0.393 | | leniency | 0.786 | | rawRatio | 0.045 | | effectiveRatio | 0.036 | |
| 91.43% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1167 | | 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) | |
| 57.16% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1167 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "intricate" | | 1 | "scanned" | | 2 | "scanning" | | 3 | "glinting" | | 4 | "etched" | | 5 | "calibrated" | | 6 | "stomach" | | 7 | "database" | | 8 | "flickered" |
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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 | 1 | | narrationSentences | 104 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 104 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 138 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 27 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 1164 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 33.31% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 45 | | wordCount | 857 | | uniqueNames | 14 | | maxNameDensity | 2.33 | | worstName | "Quinn" | | maxWindowNameDensity | 4 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 20 | | Sergeant | 1 | | Miller | 12 | | Met | 1 | | Tube | 1 | | Shadows | 1 | | Victorian | 1 | | Camden | 1 | | Veil | 2 | | Compass | 1 | | North | 1 | | Market | 1 | | Morris | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Sergeant" | | 3 | "Miller" | | 4 | "Shadows" | | 5 | "Compass" | | 6 | "Market" | | 7 | "Morris" |
| | places | | | globalScore | 0.333 | | windowScore | 0.333 | |
| 74.24% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 66 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like lightning had struck the bric" | | 1 | "circles that seemed to move when she wasn't looking directly at them" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1164 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 138 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 60 | | mean | 19.4 | | std | 15.72 | | cv | 0.811 | | sampleLengths | | 0 | 4 | | 1 | 47 | | 2 | 40 | | 3 | 46 | | 4 | 2 | | 5 | 1 | | 6 | 26 | | 7 | 28 | | 8 | 41 | | 9 | 13 | | 10 | 10 | | 11 | 21 | | 12 | 28 | | 13 | 22 | | 14 | 10 | | 15 | 35 | | 16 | 8 | | 17 | 23 | | 18 | 35 | | 19 | 6 | | 20 | 19 | | 21 | 2 | | 22 | 58 | | 23 | 16 | | 24 | 44 | | 25 | 35 | | 26 | 1 | | 27 | 2 | | 28 | 3 | | 29 | 12 | | 30 | 2 | | 31 | 21 | | 32 | 7 | | 33 | 4 | | 34 | 25 | | 35 | 1 | | 36 | 37 | | 37 | 42 | | 38 | 31 | | 39 | 7 | | 40 | 20 | | 41 | 1 | | 42 | 52 | | 43 | 18 | | 44 | 12 | | 45 | 38 | | 46 | 2 | | 47 | 21 | | 48 | 19 | | 49 | 4 |
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| 85.02% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 6 | | totalSentences | 104 | | matches | | 0 | "was surprised" | | 1 | "were curled" | | 2 | "was carved" | | 3 | "were blackened" | | 4 | "was etched" | | 5 | "was locked" |
| |
| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 6 | | totalVerbs | 157 | | matches | | 0 | "were screaming" | | 1 | "was glinting" | | 2 | "wasn't looking" | | 3 | "wasn't pointing" | | 4 | "was spinning" | | 5 | "wasn't spinning" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 138 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 859 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 34 | | adverbRatio | 0.03958090803259604 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.012805587892898719 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 138 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 138 | | mean | 8.43 | | std | 5.58 | | cv | 0.661 | | sampleLengths | | 0 | 4 | | 1 | 24 | | 2 | 15 | | 3 | 8 | | 4 | 16 | | 5 | 10 | | 6 | 4 | | 7 | 10 | | 8 | 10 | | 9 | 16 | | 10 | 7 | | 11 | 10 | | 12 | 3 | | 13 | 2 | | 14 | 1 | | 15 | 26 | | 16 | 5 | | 17 | 9 | | 18 | 6 | | 19 | 8 | | 20 | 4 | | 21 | 3 | | 22 | 6 | | 23 | 3 | | 24 | 4 | | 25 | 21 | | 26 | 13 | | 27 | 10 | | 28 | 12 | | 29 | 9 | | 30 | 4 | | 31 | 9 | | 32 | 15 | | 33 | 10 | | 34 | 8 | | 35 | 1 | | 36 | 3 | | 37 | 5 | | 38 | 5 | | 39 | 14 | | 40 | 21 | | 41 | 8 | | 42 | 13 | | 43 | 7 | | 44 | 3 | | 45 | 11 | | 46 | 10 | | 47 | 14 | | 48 | 5 | | 49 | 1 |
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| 75.12% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.4855072463768116 | | totalSentences | 138 | | uniqueOpeners | 67 | |
| 69.44% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 96 | | matches | | 0 | "Just usually annoyed." | | 1 | "Usually right before things went" |
| | ratio | 0.021 | |
| 90.83% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 31 | | totalSentences | 96 | | matches | | 0 | "She ignored his sputtered protest" | | 1 | "They always hired them too" | | 2 | "She stepped onto the platform," | | 3 | "He looked up, his face" | | 4 | "He didn't look surprised to" | | 5 | "She leaned in closer." | | 6 | "It held a waxy, translucent" | | 7 | "He gestured vaguely towards the" | | 8 | "She ran a gloved finger" | | 9 | "She used a pen to" | | 10 | "It was carved with intricate," | | 11 | "She pocketed the evidence bag" | | 12 | "Her instincts were screaming." | | 13 | "She found it near an" | | 14 | "It looked like lightning had" | | 15 | "He brushed the wall." | | 16 | "He jerked back, shaking his" | | 17 | "She didn't have time for" | | 18 | "She needed facts." | | 19 | "She moved back to the" |
| | ratio | 0.323 | |
| 12.08% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 86 | | totalSentences | 96 | | matches | | 0 | "The uniformed constable, a fresh-faced" | | 1 | "She ignored his sputtered protest" | | 2 | "They always hired them too" | | 3 | "She stepped onto the platform," | | 4 | "The air down here tasted" | | 5 | "The acrid, chemical stench of" | | 6 | "Detective Sergeant Miller stood by" | | 7 | "He looked up, his face" | | 8 | "He didn't look surprised to" | | 9 | "Nobody in the Met was" | | 10 | "Quinn crouched beside the corpse." | | 11 | "The body lay sprawled in" | | 12 | "Legs twisted north, arms pointed" | | 13 | "She leaned in closer." | | 14 | "the skin was wrong." | | 15 | "It held a waxy, translucent" | | 16 | "Miller asked, though his tone" | | 17 | "He gestured vaguely towards the" | | 18 | "Quinn checked her watch." | | 19 | "The worn leather strap was" |
| | ratio | 0.896 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 96 | | matches | (empty) | | ratio | 0 | |
| 73.73% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 31 | | technicalSentenceCount | 3 | | matches | | 0 | "It held a waxy, translucent sheen, as if the body had been flash-frozen in a millisecond, yet the clothes were damp." | | 1 | "It looked like lightning had struck the brickwork, branching out in fractal patterns that glowed faintly, pulsing with a dim, violet rhythm." | | 2 | "The face was etched with protective sigils, intricate interlocking circles that seemed to move when she wasn't looking directly at them." |
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| 56.82% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 22 | | uselessAdditionCount | 3 | | matches | | 0 | "Miller asked, though his tone suggested he didn't believe it either" | | 1 | "Quinn said, her voice dropping an octave" | | 2 | "Quinn shoved, hard" |
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| 78.57% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 4 | | fancyTags | | 0 | "Miller suggested (suggest)" | | 1 | "Quinn snapped (snap)" | | 2 | "Miller noted (note)" | | 3 | "she whispered (whisper)" |
| | dialogueSentences | 56 | | tagDensity | 0.143 | | leniency | 0.286 | | rawRatio | 0.5 | | effectiveRatio | 0.143 | |