| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 16 | | adverbTagCount | 1 | | adverbTags | | 0 | "Eva said quietly [quietly]" |
| | dialogueSentences | 41 | | tagDensity | 0.39 | | leniency | 0.78 | | rawRatio | 0.063 | | effectiveRatio | 0.049 | |
| 94.25% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1740 | | 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) | |
| 71.26% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1740 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "measured" | | 1 | "silk" | | 2 | "fascinating" | | 3 | "etched" | | 4 | "quivered" | | 5 | "magnetic" | | 6 | "trembled" | | 7 | "perfect" | | 8 | "echoing" | | 9 | "pounding" |
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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 | 125 | | matches | (empty) | |
| 97.14% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 1 | | narrationSentences | 125 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 150 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 70 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1733 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 16 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 53 | | wordCount | 1237 | | uniqueNames | 13 | | maxNameDensity | 1.78 | | worstName | "Quinn" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 22 | | Tube | 1 | | Camden | 1 | | Rayner | 9 | | Blitz | 1 | | Oxfords | 2 | | Kowalski | 1 | | Eva | 11 | | Oxford | 1 | | London | 1 | | Shade | 1 | | Morris | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Rayner" | | 3 | "Blitz" | | 4 | "Oxfords" | | 5 | "Kowalski" | | 6 | "Eva" | | 7 | "Morris" |
| | places | | 0 | "Oxford" | | 1 | "London" | | 2 | "Shade" |
| | globalScore | 0.611 | | windowScore | 0.5 | |
| 52.60% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 77 | | glossingSentenceCount | 3 | | matches | | 0 | "looked like it had fought a brush and los" | | 1 | "slashes that seemed to swallow the lamplight" | | 2 | "as if seeing them for the first time" |
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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 | 1733 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 150 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 52 | | mean | 33.33 | | std | 26.08 | | cv | 0.783 | | sampleLengths | | 0 | 90 | | 1 | 41 | | 2 | 20 | | 3 | 58 | | 4 | 62 | | 5 | 15 | | 6 | 10 | | 7 | 8 | | 8 | 38 | | 9 | 56 | | 10 | 59 | | 11 | 4 | | 12 | 6 | | 13 | 15 | | 14 | 92 | | 15 | 13 | | 16 | 17 | | 17 | 40 | | 18 | 19 | | 19 | 4 | | 20 | 29 | | 21 | 67 | | 22 | 12 | | 23 | 39 | | 24 | 14 | | 25 | 37 | | 26 | 93 | | 27 | 16 | | 28 | 41 | | 29 | 17 | | 30 | 9 | | 31 | 47 | | 32 | 3 | | 33 | 1 | | 34 | 10 | | 35 | 8 | | 36 | 48 | | 37 | 57 | | 38 | 20 | | 39 | 63 | | 40 | 38 | | 41 | 82 | | 42 | 22 | | 43 | 61 | | 44 | 58 | | 45 | 7 | | 46 | 22 | | 47 | 17 | | 48 | 17 | | 49 | 5 |
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| 91.23% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 125 | | matches | | 0 | "was unbuttoned" | | 1 | "was clenched" | | 2 | "been sealed" | | 3 | "been shut" | | 4 | "been settled" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 206 | | matches | | 0 | "was nervously tucking" | | 1 | "was waking" |
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| 85.71% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 150 | | ratio | 0.02 | | matches | | 0 | "She checked her wrist out of habit—the worn leather strap of her watch, ex-army, ticking steady at 6:22—and ducked under a rotting conduit pipe." | | 1 | "She withdrew a small brass compass, its casing mottled with verdigris, the face etched with markings that weren’t navigational—sharp, angular slashes that seemed to swallow the lamplight." | | 2 | "Decades of organic buildup flared phosphorescent green—mold, rat urine, mineral deposits." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1244 | | adjectiveStacks | 1 | | stackExamples | | 0 | "navigational—sharp, angular slashes" |
| | adverbCount | 41 | | adverbRatio | 0.03295819935691318 | | lyAdverbCount | 14 | | lyAdverbRatio | 0.011254019292604502 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 150 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 150 | | mean | 11.55 | | std | 9.28 | | cv | 0.803 | | sampleLengths | | 0 | 13 | | 1 | 27 | | 2 | 8 | | 3 | 18 | | 4 | 24 | | 5 | 19 | | 6 | 22 | | 7 | 3 | | 8 | 17 | | 9 | 3 | | 10 | 14 | | 11 | 13 | | 12 | 9 | | 13 | 15 | | 14 | 4 | | 15 | 18 | | 16 | 9 | | 17 | 8 | | 18 | 27 | | 19 | 2 | | 20 | 13 | | 21 | 10 | | 22 | 4 | | 23 | 4 | | 24 | 5 | | 25 | 24 | | 26 | 9 | | 27 | 7 | | 28 | 18 | | 29 | 6 | | 30 | 20 | | 31 | 4 | | 32 | 1 | | 33 | 5 | | 34 | 13 | | 35 | 19 | | 36 | 13 | | 37 | 9 | | 38 | 4 | | 39 | 5 | | 40 | 1 | | 41 | 15 | | 42 | 13 | | 43 | 16 | | 44 | 24 | | 45 | 17 | | 46 | 22 | | 47 | 6 | | 48 | 7 | | 49 | 5 |
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| 43.62% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.30201342281879195 | | totalSentences | 149 | | uniqueOpeners | 45 | |
| 61.73% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 108 | | matches | | 0 | "Then she walked toward the" | | 1 | "Just dust that had been" |
| | ratio | 0.019 | |
| 60.74% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 43 | | totalSentences | 108 | | matches | | 0 | "She dropped the last three" | | 1 | "It rested, thick with rust" | | 2 | "She checked her wrist out" | | 3 | "He had that eager tilt" | | 4 | "She descended the stairs with" | | 5 | "His charcoal wool coat was" | | 6 | "His silk tie lay flat" | | 7 | "Her left wrist brushed her" | | 8 | "She ran a gloved fingertip" | | 9 | "She turned her attention to" | | 10 | "He’d struck brick recently." | | 11 | "His left hand was clenched." | | 12 | "She lifted it to the" | | 13 | "It flaked white and chalky," | | 14 | "She bagged it, sealing the" | | 15 | "It was then she felt" | | 16 | "She was small, no more" | | 17 | "She stepped closer, noting the" | | 18 | "Her green eyes darted to" | | 19 | "She returned to the corpse" |
| | ratio | 0.398 | |
| 52.59% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 88 | | totalSentences | 108 | | matches | | 0 | "The rungs of the maintenance" | | 1 | "She dropped the last three" | | 2 | "It rested, thick with rust" | | 3 | "She checked her wrist out" | | 4 | "DC Rayner stood at the" | | 5 | "He had that eager tilt" | | 6 | "Quinn said nothing." | | 7 | "She descended the stairs with" | | 8 | "The station had been dead" | | 9 | "Rat droppings, cigarette butts no" | | 10 | "The man lay crumpled at" | | 11 | "His charcoal wool coat was" | | 12 | "His silk tie lay flat" | | 13 | "Her left wrist brushed her" | | 14 | "Rayner flipped his notepad." | | 15 | "She ran a gloved fingertip" | | 16 | "She turned her attention to" | | 17 | "The man’s face was placid," | | 18 | "He’d struck brick recently." | | 19 | "His left hand was clenched." |
| | ratio | 0.815 | |
| 46.30% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 108 | | matches | | | ratio | 0.009 | |
| 63.49% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 54 | | technicalSentenceCount | 6 | | matches | | 0 | "She dropped the last three feet into a shallow puddle, her boots splashing a sound that died immediately against the curved tiles of the abandoned Tube station." | | 1 | "He had that eager tilt to his chin, the kind that came from deciding a conclusion before the evidence had finished speaking." | | 2 | "She was small, no more than five-four, with a mass of curly red hair that looked like it had fought a brush and lost." | | 3 | "She withdrew a small brass compass, its casing mottled with verdigris, the face etched with markings that weren’t navigational—sharp, angular slashes that seeme…" | | 4 | "Her voice carried the precise diction of someone who had spent years in Oxford libraries." | | 5 | "On the platform stones directly in front of the wall, a faint arc of fresh dust fanned out, as if a door had scraped the floor and been shut." |
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| 93.75% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 16 | | uselessAdditionCount | 1 | | matches | | 0 | "Quinn said, her voice echoing off the curved tiles" |
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| 76.83% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 13 | | fancyCount | 3 | | fancyTags | | 0 | "Quinn corrected (correct)" | | 1 | "she murmured (murmur)" | | 2 | "Quinn corrected (correct)" |
| | dialogueSentences | 41 | | tagDensity | 0.317 | | leniency | 0.634 | | rawRatio | 0.231 | | effectiveRatio | 0.146 | |