| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 145 | | tagDensity | 0.097 | | leniency | 0.193 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.01% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2509 | | 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) | |
| 84.06% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2509 | | totalAiIsms | 8 | | found | | | highlights | | 0 | "velvet" | | 1 | "stomach" | | 2 | "etched" | | 3 | "silence" | | 4 | "pulse" | | 5 | "trembled" | | 6 | "measured" |
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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 | 237 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 237 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 367 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 25 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 2509 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 28 | | unquotedAttributions | 0 | | matches | (empty) | |
| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 100 | | wordCount | 1704 | | uniqueNames | 8 | | maxNameDensity | 2.29 | | worstName | "Quinn" | | maxWindowNameDensity | 4 | | worstWindowName | "Quinn" | | discoveredNames | | Quinn | 39 | | Malik | 20 | | Voss | 9 | | Eva | 24 | | Limehouse | 1 | | Morris | 1 | | Three | 3 | | One | 3 |
| | persons | | 0 | "Quinn" | | 1 | "Malik" | | 2 | "Voss" | | 3 | "Eva" | | 4 | "Morris" | | 5 | "One" |
| | places | | | globalScore | 0.356 | | windowScore | 0.333 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 125 | | glossingSentenceCount | 1 | | matches | | 0 | "ad man who had apparently found it first" |
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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 | 2509 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 367 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 247 | | mean | 10.16 | | std | 10.13 | | cv | 0.997 | | sampleLengths | | 0 | 15 | | 1 | 54 | | 2 | 8 | | 3 | 8 | | 4 | 3 | | 5 | 8 | | 6 | 47 | | 7 | 10 | | 8 | 7 | | 9 | 43 | | 10 | 4 | | 11 | 22 | | 12 | 41 | | 13 | 4 | | 14 | 3 | | 15 | 4 | | 16 | 20 | | 17 | 13 | | 18 | 6 | | 19 | 1 | | 20 | 19 | | 21 | 3 | | 22 | 2 | | 23 | 4 | | 24 | 6 | | 25 | 32 | | 26 | 3 | | 27 | 3 | | 28 | 30 | | 29 | 30 | | 30 | 4 | | 31 | 4 | | 32 | 2 | | 33 | 6 | | 34 | 13 | | 35 | 17 | | 36 | 3 | | 37 | 3 | | 38 | 18 | | 39 | 35 | | 40 | 5 | | 41 | 4 | | 42 | 9 | | 43 | 14 | | 44 | 1 | | 45 | 5 | | 46 | 15 | | 47 | 12 | | 48 | 3 | | 49 | 1 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 237 | | matches | | 0 | "was cracked" | | 1 | "being written" | | 2 | "been made" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 304 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 367 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1709 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 46 | | adverbRatio | 0.026916325336454067 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.004681100058513751 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 367 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 367 | | mean | 6.84 | | std | 4.71 | | cv | 0.689 | | sampleLengths | | 0 | 15 | | 1 | 16 | | 2 | 16 | | 3 | 12 | | 4 | 10 | | 5 | 8 | | 6 | 8 | | 7 | 3 | | 8 | 5 | | 9 | 3 | | 10 | 23 | | 11 | 10 | | 12 | 14 | | 13 | 5 | | 14 | 5 | | 15 | 7 | | 16 | 10 | | 17 | 3 | | 18 | 4 | | 19 | 8 | | 20 | 7 | | 21 | 11 | | 22 | 4 | | 23 | 22 | | 24 | 11 | | 25 | 13 | | 26 | 17 | | 27 | 4 | | 28 | 3 | | 29 | 4 | | 30 | 3 | | 31 | 17 | | 32 | 9 | | 33 | 4 | | 34 | 6 | | 35 | 1 | | 36 | 19 | | 37 | 3 | | 38 | 2 | | 39 | 4 | | 40 | 6 | | 41 | 15 | | 42 | 8 | | 43 | 9 | | 44 | 3 | | 45 | 2 | | 46 | 1 | | 47 | 22 | | 48 | 8 | | 49 | 6 |
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| 49.32% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 14 | | diversityRatio | 0.3188010899182561 | | totalSentences | 367 | | uniqueOpeners | 117 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 8 | | totalSentences | 208 | | matches | | 0 | "Somewhere beyond them, water dripped" | | 1 | "More than once." | | 2 | "Usually beside other names, other" | | 3 | "All watched the broken wall." | | 4 | "Then someone had pulled him" | | 5 | "Instead she checked." | | 6 | "Then the black cloth in" | | 7 | "Somewhere beyond the wall, water" |
| | ratio | 0.038 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 49 | | totalSentences | 208 | | matches | | 0 | "He gave a short laugh." | | 1 | "He claimed to have taken" | | 2 | "She filed that away with" | | 3 | "His left hand rested palm-up" | | 4 | "His right was trapped beneath" | | 5 | "She was tucking a strand" | | 6 | "His coat had ridden up" | | 7 | "She leaned closer." | | 8 | "She looked at the wound" | | 9 | "Her knee complained." | | 10 | "Her voice travelled surprisingly well" | | 11 | "She had a freckled face" | | 12 | "She kept her eyes on" | | 13 | "She crouched at Voss’s left" | | 14 | "She indicated the exposed wrist" | | 15 | "She reached towards the hem" | | 16 | "She pointed to the grooves." | | 17 | "They began near the wall" | | 18 | "His heels had cut through" | | 19 | "She did not object to" |
| | ratio | 0.236 | |
| 65.77% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 164 | | totalSentences | 208 | | matches | | 0 | "The dead man lay beneath" | | 1 | "Harlow Quinn stopped at the" | | 2 | "Stalls crowded the abandoned station:" | | 3 | "A string of bare bulbs" | | 4 | "The place smelled of hot" | | 5 | "He gave a short laugh." | | 6 | "Quinn did not." | | 7 | "He claimed to have taken" | | 8 | "The woman had inspected it," | | 9 | "Quinn had watched the lock." | | 10 | "Nothing had turned inside it." | | 11 | "She filed that away with" | | 12 | "His left hand rested palm-up" | | 13 | "His right was trapped beneath" | | 14 | "Blood spread from under his" | | 15 | "Malik nodded towards a young" | | 16 | "She was tucking a strand" | | 17 | "Eva looked up at the" | | 18 | "Recognition tightened her mouth." | | 19 | "Quinn turned back to the" |
| | ratio | 0.788 | |
| 48.08% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 208 | | matches | | 0 | "Now she pulled on gloves" | | 1 | "Now she saw repetitions: hooked" |
| | ratio | 0.01 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 57 | | technicalSentenceCount | 1 | | matches | | 0 | "The dead man lay beneath a departure board that had not changed in thirty years." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 12 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 145 | | tagDensity | 0.083 | | leniency | 0.166 | | rawRatio | 0 | | effectiveRatio | 0 | |