| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 1 | | adverbTags | | 0 | "she said instead [instead]" |
| | dialogueSentences | 41 | | tagDensity | 0.317 | | leniency | 0.634 | | rawRatio | 0.077 | | effectiveRatio | 0.049 | |
| 91.34% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1732 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "carefully" | | 1 | "slightly" | | 2 | "gently" |
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| 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) | |
| 71.13% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1732 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "silence" | | 1 | "weight" | | 2 | "footsteps" | | 3 | "echoing" | | 4 | "tracing" | | 5 | "etched" | | 6 | "charm" | | 7 | "anticipation" |
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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 | 120 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 120 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 148 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 56 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1725 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 30 | | wordCount | 1259 | | uniqueNames | 9 | | maxNameDensity | 0.95 | | worstName | "Barnes" | | maxWindowNameDensity | 2 | | worstWindowName | "Barnes" | | discoveredNames | | Harlow | 1 | | Quinn | 7 | | Tube | 2 | | London | 2 | | Barnes | 12 | | Morris | 3 | | Met | 1 | | Waterloo | 1 | | Bridge | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Barnes" | | 3 | "Morris" | | 4 | "Met" |
| | places | | 0 | "London" | | 1 | "Waterloo" | | 2 | "Bridge" |
| | globalScore | 1 | | windowScore | 1 | |
| 50.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 75 | | glossingSentenceCount | 3 | | matches | | 0 | "looked like they belonged on an ancient m" | | 1 | "as if searching for a north that didn't exist" | | 2 | "appeared under London once a month, for those who carried the right token" |
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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 | 1725 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 148 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 59 | | mean | 29.24 | | std | 23.58 | | cv | 0.806 | | sampleLengths | | 0 | 4 | | 1 | 72 | | 2 | 80 | | 3 | 56 | | 4 | 9 | | 5 | 14 | | 6 | 34 | | 7 | 91 | | 8 | 6 | | 9 | 55 | | 10 | 58 | | 11 | 5 | | 12 | 7 | | 13 | 4 | | 14 | 56 | | 15 | 39 | | 16 | 78 | | 17 | 13 | | 18 | 13 | | 19 | 67 | | 20 | 8 | | 21 | 58 | | 22 | 12 | | 23 | 32 | | 24 | 52 | | 25 | 21 | | 26 | 11 | | 27 | 4 | | 28 | 24 | | 29 | 32 | | 30 | 9 | | 31 | 10 | | 32 | 54 | | 33 | 42 | | 34 | 27 | | 35 | 8 | | 36 | 55 | | 37 | 50 | | 38 | 27 | | 39 | 53 | | 40 | 6 | | 41 | 6 | | 42 | 16 | | 43 | 9 | | 44 | 7 | | 45 | 41 | | 46 | 8 | | 47 | 45 | | 48 | 32 | | 49 | 53 |
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| 90.64% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 120 | | matches | | 0 | "was, layered" | | 1 | "was laid" | | 2 | "was dressed" | | 3 | "were curled" | | 4 | "been removed" | | 5 | "been buried" |
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| 15.67% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 6 | | totalVerbs | 217 | | matches | | 0 | "was waiting" | | 1 | "was spinning" | | 2 | "was circling" | | 3 | "was carrying" | | 4 | "was saying" | | 5 | "was watching" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 1 | | flaggedSentences | 8 | | totalSentences | 148 | | ratio | 0.054 | | matches | | 0 | "She'd walked the abandoned Tube stations of London a dozen times over her career—junkies, squatters, the occasional corpse nobody missed." | | 1 | "The symbols weren't painted or burned; they were cut into the bone with precision, the grooves dark with age." | | 2 | "Quinn pulled a small brass compass from her coat pocket—her own, personal, not issued." | | 3 | "There was something on the other side—a door that wasn't a door, a passage that only opened for those who knew how to ask." | | 4 | "Not spin—tremble, like a thing alive with anticipation." | | 5 | "The hairs on the back of her neck had risen, and the compass needle had stopped trembling and pointed due south—straight back the way she'd come, toward the stairs she had descended." | | 6 | "The bruises on his forearm were distinct—four fingertip-shaped marks, evenly spaced, and a thumb-shaped mark on the opposite side." | | 7 | "She had a partner to find—and a market to enter." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 581 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 11 | | adverbRatio | 0.0189328743545611 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.010327022375215147 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 148 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 148 | | mean | 11.66 | | std | 9.25 | | cv | 0.793 | | sampleLengths | | 0 | 4 | | 1 | 22 | | 2 | 20 | | 3 | 5 | | 4 | 4 | | 5 | 17 | | 6 | 4 | | 7 | 11 | | 8 | 29 | | 9 | 17 | | 10 | 17 | | 11 | 6 | | 12 | 16 | | 13 | 19 | | 14 | 21 | | 15 | 4 | | 16 | 5 | | 17 | 14 | | 18 | 12 | | 19 | 22 | | 20 | 9 | | 21 | 14 | | 22 | 2 | | 23 | 2 | | 24 | 9 | | 25 | 10 | | 26 | 12 | | 27 | 8 | | 28 | 25 | | 29 | 6 | | 30 | 4 | | 31 | 33 | | 32 | 18 | | 33 | 11 | | 34 | 19 | | 35 | 17 | | 36 | 11 | | 37 | 5 | | 38 | 7 | | 39 | 2 | | 40 | 2 | | 41 | 56 | | 42 | 10 | | 43 | 29 | | 44 | 15 | | 45 | 44 | | 46 | 19 | | 47 | 7 | | 48 | 6 | | 49 | 13 |
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| 38.51% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 18 | | diversityRatio | 0.30405405405405406 | | totalSentences | 148 | | uniqueOpeners | 45 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 112 | | matches | (empty) | | ratio | 0 | |
| 37.86% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 51 | | totalSentences | 112 | | matches | | 0 | "She'd walked the abandoned Tube" | | 1 | "It pressed against her eardrums" | | 2 | "She resumed her descent, her" | | 3 | "He was a big man," | | 4 | "His torch beam swept the" | | 5 | "He nodded, curt" | | 6 | "She walked past him, her" | | 7 | "She crouched beside the corpse," | | 8 | "His hands were empty, but" | | 9 | "He reached into a evidence" | | 10 | "She'd seen similar markings before," | | 11 | "She said nothing about that." | | 12 | "she said instead" | | 13 | "She pointed to a faint" | | 14 | "She stood and walked to" | | 15 | "She didn't elaborate" | | 16 | "She'd acquired the compass six" | | 17 | "It had never steered her" | | 18 | "She pocketed it and returned" | | 19 | "He was pale, his skin" |
| | ratio | 0.455 | |
| 31.43% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 96 | | totalSentences | 112 | | matches | | 0 | "The stairs were wrong." | | 1 | "Detective Harlow Quinn stopped at" | | 2 | "She'd walked the abandoned Tube" | | 3 | "The air had weight." | | 4 | "It pressed against her eardrums" | | 5 | "Something she couldn't name." | | 6 | "She resumed her descent, her" | | 7 | "The emergency lights had been" | | 8 | "The graffiti on the walls" | | 9 | "He was a big man," | | 10 | "His torch beam swept the" | | 11 | "He nodded, curt" | | 12 | "Barnes gestured with his torch" | | 13 | "She walked past him, her" | | 14 | "The body was laid out" | | 15 | "A junkie overdose didn't arrange" | | 16 | "She crouched beside the corpse," | | 17 | "The man was dressed in" | | 18 | "His hands were empty, but" | | 19 | "Barnes squatted opposite her." |
| | ratio | 0.857 | |
| 89.29% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 112 | | matches | | 0 | "Now it was a crime" | | 1 | "Now it was circling like" |
| | ratio | 0.018 | |
| 40.82% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 49 | | technicalSentenceCount | 7 | | matches | | 0 | "Detective Harlow Quinn stopped at the first landing, her right hand resting on the damp banister, her ears straining against the silence." | | 1 | "He was a big man, broad-shouldered and balding, with the kind of face that had settled into permanent skepticism." | | 2 | "His hands were empty, but the fingers of his right hand were curled inward, as if he'd been holding something small that had been removed." | | 3 | "The casing was green with verdigris, the face etched with protective sigils that looked like they belonged on an ancient manuscript." | | 4 | "The needle was spinning, slow and steady, as if searching for a north that didn't exist." | | 5 | "His eyes were half-open, his mouth slightly agape, as if he'd seen something he hadn't expected and hadn't had time to process it before the bullet hit." | | 6 | "He studied her face, saw something there that made him stop arguing." |
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| 48.08% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 2 | | matches | | 0 | "she said, her voice low" | | 1 | "She pocketed, her mind already working through the contradictions" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 41 | | tagDensity | 0.122 | | leniency | 0.244 | | rawRatio | 0.2 | | effectiveRatio | 0.049 | |