| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 29 | | tagDensity | 0.483 | | leniency | 0.966 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 93.52% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1544 | | 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) | |
| 51.42% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1544 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "weight" | | 1 | "etched" | | 2 | "variable" | | 3 | "echoed" | | 4 | "chill" | | 5 | "perfect" | | 6 | "intricate" | | 7 | "familiar" | | 8 | "silence" | | 9 | "profound" | | 10 | "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) | |
| 82.71% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 4 | | narrationSentences | 95 | | filterMatches | (empty) | | hedgeMatches | | 0 | "seemed to" | | 1 | "appeared to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 109 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 47 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1536 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 17 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 47 | | wordCount | 1212 | | uniqueNames | 17 | | maxNameDensity | 1.65 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | Mornington | 1 | | Crescent | 1 | | Tube | 1 | | Harlow | 2 | | Quinn | 20 | | London | 1 | | Miller | 7 | | Southwark | 1 | | Morris | 4 | | Constable | 2 | | Veil | 1 | | Compass | 1 | | Monday | 1 | | Eva | 1 | | Metropolitan | 1 | | Police | 1 | | Detective | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Miller" | | 3 | "Morris" | | 4 | "Constable" | | 5 | "Eva" |
| | places | | 0 | "Mornington" | | 1 | "Crescent" | | 2 | "Tube" | | 3 | "London" | | 4 | "Southwark" |
| | globalScore | 0.675 | | windowScore | 0.667 | |
| 16.67% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 75 | | glossingSentenceCount | 4 | | matches | | 0 | "sigils that seemed to shift when she tilted her head" | | 1 | "felt like a physical weight" | | 2 | "felt like a command" | | 3 | "felt like she was finally walking in th" |
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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 | 1536 | | matches | (empty) | |
| 74.92% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 3 | | totalSentences | 109 | | matches | | 0 | "learned that fatigue" | | 1 | "entered that warehouse" | | 2 | "realized that the" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 40 | | mean | 38.4 | | std | 22.48 | | cv | 0.585 | | sampleLengths | | 0 | 70 | | 1 | 66 | | 2 | 10 | | 3 | 50 | | 4 | 9 | | 5 | 28 | | 6 | 55 | | 7 | 41 | | 8 | 60 | | 9 | 28 | | 10 | 14 | | 11 | 3 | | 12 | 57 | | 13 | 69 | | 14 | 71 | | 15 | 7 | | 16 | 12 | | 17 | 21 | | 18 | 74 | | 19 | 47 | | 20 | 35 | | 21 | 22 | | 22 | 31 | | 23 | 61 | | 24 | 50 | | 25 | 53 | | 26 | 54 | | 27 | 2 | | 28 | 48 | | 29 | 53 | | 30 | 20 | | 31 | 4 | | 32 | 42 | | 33 | 49 | | 34 | 81 | | 35 | 29 | | 36 | 5 | | 37 | 37 | | 38 | 20 | | 39 | 48 |
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| 86.80% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 95 | | matches | | 0 | "been disturbed" | | 1 | "was sprawled" | | 2 | "was pooled" | | 3 | "been drained" | | 4 | "was etched" | | 5 | "been welded" |
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| 1.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 6 | | totalVerbs | 201 | | matches | | 0 | "was holding" | | 1 | "was mourning" | | 2 | "was hunting" | | 3 | "was pointing" | | 4 | "was finally pointing" | | 5 | "was finally walking" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 1 | | flaggedSentences | 7 | | totalSentences | 109 | | ratio | 0.064 | | matches | | 0 | "The glass face was etched with symbols Quinn didn't recognize—intricate, swirling sigils that seemed to shift when she tilted her head." | | 1 | "But Quinn had seen things in that warehouse—shadows that moved against the light, a silence so profound it felt like a physical weight." | | 2 | "The brickwork here was different—older, reinforced with iron grates that didn't lead to any known sewer or ventilation shaft." | | 3 | "On the floor beneath it lay a small piece of polished ivory—a bone token." | | 4 | "She could hear it now—a faint, rhythmic chanting or perhaps the hum of a thousand bees, vibrating through the very soles of her boots." | | 5 | "Her heart hammered against her ribs—a rare admission of adrenaline." | | 6 | "The shadows didn't retreat as she approached; they parted, welcoming her into the dark." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1231 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small, leather-bound notebook." |
| | adverbCount | 27 | | adverbRatio | 0.021933387489845652 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.006498781478472786 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 109 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 109 | | mean | 14.09 | | std | 8.11 | | cv | 0.575 | | sampleLengths | | 0 | 28 | | 1 | 24 | | 2 | 18 | | 3 | 16 | | 4 | 1 | | 5 | 16 | | 6 | 33 | | 7 | 10 | | 8 | 17 | | 9 | 15 | | 10 | 18 | | 11 | 9 | | 12 | 11 | | 13 | 17 | | 14 | 7 | | 15 | 11 | | 16 | 23 | | 17 | 14 | | 18 | 17 | | 19 | 24 | | 20 | 3 | | 21 | 19 | | 22 | 7 | | 23 | 6 | | 24 | 13 | | 25 | 5 | | 26 | 7 | | 27 | 28 | | 28 | 2 | | 29 | 12 | | 30 | 3 | | 31 | 7 | | 32 | 6 | | 33 | 13 | | 34 | 13 | | 35 | 18 | | 36 | 16 | | 37 | 15 | | 38 | 21 | | 39 | 5 | | 40 | 12 | | 41 | 10 | | 42 | 23 | | 43 | 15 | | 44 | 23 | | 45 | 7 | | 46 | 5 | | 47 | 7 | | 48 | 11 | | 49 | 10 |
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| 49.07% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.3611111111111111 | | totalSentences | 108 | | uniqueOpeners | 39 | |
| 74.91% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 89 | | matches | | 0 | "Instead, she looked at the" | | 1 | "Instead, the blood was pooled" |
| | ratio | 0.022 | |
| 35.73% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 41 | | totalSentences | 89 | | matches | | 0 | "She stepped over a rusted" | | 1 | "She’d been awake for twenty" | | 2 | "She followed the beam of" | | 3 | "He looked green, his youth" | | 4 | "It was a man, middle-aged," | | 5 | "He was sprawled in the" | | 6 | "She crouched at the edge" | | 7 | "She didn't look at the" | | 8 | "She reached out, pinched a" | | 9 | "It wasn't flour or salt." | | 10 | "It smelled of ozone and" | | 11 | "It was a small brass" | | 12 | "It spun in a slow," | | 13 | "She felt a familiar, cold" | | 14 | "It was the same sensation" | | 15 | "She stood up and paced" | | 16 | "Her mind was a filing" | | 17 | "She noticed a faint, shimmering" | | 18 | "She approached the door and" | | 19 | "She could hear it now—a" |
| | ratio | 0.461 | |
| 44.27% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 74 | | totalSentences | 89 | | matches | | 0 | "The air in the abandoned" | | 1 | "She stepped over a rusted" | | 2 | "Quinn adjusted the worn leather" | | 3 | "She’d been awake for twenty" | | 4 | "a voice echoed through the" | | 5 | "She followed the beam of" | | 6 | "Constable Miller stood by a" | | 7 | "He looked green, his youth" | | 8 | "Quinn said, her voice a" | | 9 | "Miller said, gesturing vaguely" | | 10 | "Quinn stepped into the pool" | | 11 | "It was a man, middle-aged," | | 12 | "He was sprawled in the" | | 13 | "Miller offered, flipping through a" | | 14 | "Quinn didn't answer." | | 15 | "She crouched at the edge" | | 16 | "She didn't look at the" | | 17 | "She reached out, pinched a" | | 18 | "It wasn't flour or salt." | | 19 | "It smelled of ozone and" |
| | ratio | 0.831 | |
| 56.18% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 89 | | matches | | 0 | "If the victim was holding" |
| | ratio | 0.011 | |
| 51.95% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 55 | | technicalSentenceCount | 7 | | matches | | 0 | "The air in the abandoned Mornington Crescent Tube station tasted of copper and stagnant damp, a heavy, metallic weight that clung to the back of Harlow Quinn’s …" | | 1 | "She stepped over a rusted rail, the rubber soles of her boots crunching on grit that hadn't been disturbed by a commuter in decades." | | 2 | "It was a man, middle-aged, dressed in a tailored wool coat that seemed entirely out of place in the filth of the underground." | | 3 | "But Quinn had seen things in that warehouse—shadows that moved against the light, a silence so profound it felt like a physical weight." | | 4 | "She noticed a faint, shimmering residue on the ground, leading away from the body and toward a heavy steel door that appeared to have been welded shut years ago…" | | 5 | "She should call in the forensics team, wait for the coroner, and file a forty-page report that would be buried by her superiors by Monday morning." | | 6 | "It felt warm, vibrating with a low-frequency hum that made her teeth ache." |
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| 17.86% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 3 | | matches | | 0 | "Quinn said, her voice a low, raspy rasp" | | 1 | "Quinn corrected, her brown eyes narrowing" | | 2 | "Quinn said, her jaw tightening" |
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| 46.55% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 3 | | fancyTags | | 0 | "Quinn corrected (correct)" | | 1 | "the shadows whispered (whisper)" | | 2 | "Quinn murmured (murmur)" |
| | dialogueSentences | 29 | | tagDensity | 0.345 | | leniency | 0.69 | | rawRatio | 0.3 | | effectiveRatio | 0.207 | |