| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 17 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 39 | | tagDensity | 0.436 | | leniency | 0.872 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 90.69% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1611 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "softly" | | 1 | "nervously" | | 2 | "very" |
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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) | |
| 53.45% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1611 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "weight" | | 1 | "dancing" | | 2 | "chill" | | 3 | "velvet" | | 4 | "standard" | | 5 | "etched" | | 6 | "disrupt" | | 7 | "flickered" | | 8 | "silence" | | 9 | "echo" | | 10 | "porcelain" | | 11 | "echoes" | | 12 | "could feel" |
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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 | 96 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 96 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 118 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 37 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1605 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 74 | | wordCount | 1213 | | uniqueNames | 23 | | maxNameDensity | 2.31 | | worstName | "Quinn" | | maxWindowNameDensity | 4 | | worstWindowName | "Quinn" | | discoveredNames | | Mornington | 1 | | Crescent | 1 | | Tube | 1 | | London | 2 | | Harlow | 2 | | Quinn | 28 | | Northern | 1 | | Line | 1 | | Blitz | 1 | | Miller | 7 | | Veil | 4 | | Market | 1 | | Scotland | 1 | | Yard | 1 | | North | 1 | | Morris | 1 | | Compass | 1 | | Kowalski | 3 | | British | 1 | | Museum | 1 | | Eva | 12 | | Metropolitan | 1 | | Police | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Line" | | 3 | "Miller" | | 4 | "Veil" | | 5 | "North" | | 6 | "Morris" | | 7 | "Compass" | | 8 | "Kowalski" | | 9 | "Eva" |
| | places | | 0 | "Mornington" | | 1 | "Crescent" | | 2 | "Tube" | | 3 | "London" | | 4 | "Scotland" | | 5 | "British" |
| | globalScore | 0.346 | | windowScore | 0.333 | |
| 83.33% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 75 | | glossingSentenceCount | 2 | | matches | | 0 | "glasses that seemed to reflect more light than they should" | | 1 | "felt like she had the key" |
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| 75.39% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.246 | | wordCount | 1605 | | matches | | 0 | "not touching the body yet, but hovering her hand near the brass compass" | | 1 | "not just the footprints, but a faint, shimmering residue, like the trail of a slug made o" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 118 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 46 | | mean | 34.89 | | std | 22.32 | | cv | 0.64 | | sampleLengths | | 0 | 74 | | 1 | 76 | | 2 | 35 | | 3 | 27 | | 4 | 28 | | 5 | 76 | | 6 | 9 | | 7 | 71 | | 8 | 45 | | 9 | 46 | | 10 | 13 | | 11 | 12 | | 12 | 9 | | 13 | 31 | | 14 | 42 | | 15 | 61 | | 16 | 2 | | 17 | 83 | | 18 | 5 | | 19 | 7 | | 20 | 8 | | 21 | 30 | | 22 | 22 | | 23 | 34 | | 24 | 41 | | 25 | 23 | | 26 | 49 | | 27 | 32 | | 28 | 57 | | 29 | 16 | | 30 | 25 | | 31 | 42 | | 32 | 12 | | 33 | 41 | | 34 | 31 | | 35 | 1 | | 36 | 3 | | 37 | 35 | | 38 | 53 | | 39 | 35 | | 40 | 50 | | 41 | 16 | | 42 | 41 | | 43 | 31 | | 44 | 81 | | 45 | 44 |
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| 86.99% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 96 | | matches | | 0 | "been sealed" | | 1 | "was dressed" | | 2 | "was undisturbed" | | 3 | "was gone" | | 4 | "were gone" |
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| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 7 | | totalVerbs | 196 | | matches | | 0 | "was currently sweating" | | 1 | "wasn't pointing" | | 2 | "wasn't pointing" | | 3 | "was clutching" | | 4 | "was hammering" | | 5 | "was flickering" | | 6 | "were trying" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 1 | | flaggedSentences | 6 | | totalSentences | 118 | | ratio | 0.051 | | matches | | 0 | "Detective Harlow Quinn checked the worn leather strap of her watch—02:14." | | 1 | "She’d heard the rumors in the darker corners of Scotland Yard—a shifting bazaar of the impossible—but seeing the physical reality of it made the hair on her arms stand up." | | 2 | "It wasn't pointing anywhere constant; it spun in lazy, erratic circles, clicking softly against the glass face etched with strange, swirling sigils." | | 3 | "Quinn knew her—a research assistant at the British Museum with a penchant for being present at all the wrong times." | | 4 | "In the raking light, she saw it—not just the footprints, but a faint, shimmering residue, like the trail of a slug made of liquid silver, trailing from the victim’s open mouth toward the dark tunnel." | | 5 | "In her place stood a tall, slender woman with a sharp jawline and eyes that mirrored Quinn’s own—a reflection in a mirror that wasn't there." |
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| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1228 | | adjectiveStacks | 2 | | stackExamples | | 0 | "collapsible velvet-lined tables," | | 1 | "faint, sickly green luminescence." |
| | adverbCount | 32 | | adverbRatio | 0.026058631921824105 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.008143322475570033 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 118 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 118 | | mean | 13.6 | | std | 8.59 | | cv | 0.632 | | sampleLengths | | 0 | 26 | | 1 | 11 | | 2 | 37 | | 3 | 12 | | 4 | 25 | | 5 | 7 | | 6 | 18 | | 7 | 14 | | 8 | 5 | | 9 | 19 | | 10 | 11 | | 11 | 9 | | 12 | 18 | | 13 | 15 | | 14 | 13 | | 15 | 4 | | 16 | 8 | | 17 | 27 | | 18 | 7 | | 19 | 30 | | 20 | 9 | | 21 | 15 | | 22 | 16 | | 23 | 12 | | 24 | 28 | | 25 | 11 | | 26 | 34 | | 27 | 3 | | 28 | 16 | | 29 | 5 | | 30 | 22 | | 31 | 10 | | 32 | 3 | | 33 | 2 | | 34 | 10 | | 35 | 9 | | 36 | 4 | | 37 | 12 | | 38 | 11 | | 39 | 4 | | 40 | 15 | | 41 | 16 | | 42 | 11 | | 43 | 23 | | 44 | 5 | | 45 | 27 | | 46 | 1 | | 47 | 5 | | 48 | 2 | | 49 | 17 |
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| 57.06% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.3728813559322034 | | totalSentences | 118 | | uniqueOpeners | 44 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 87 | | matches | | 0 | "Instead of spray paint and" | | 1 | "Instead, it was flickering, the" | | 2 | "Only the sigils on the" |
| | ratio | 0.034 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 26 | | totalSentences | 87 | | matches | | 0 | "Her boots clicked against the" | | 1 | "She stopped at the foot" | | 2 | "It was Miller, a young," | | 3 | "It didn't look like a" | | 4 | "She’d heard the rumors in" | | 5 | "She reached out, not touching" | | 6 | "It wasn't pointing anywhere constant;" | | 7 | "He fumbled with the tweed," | | 8 | "He pulled out a small," | | 9 | "She stood up and walked" | | 10 | "She looked at the tracks." | | 11 | "They stopped at the body." | | 12 | "It was a woman with" | | 13 | "She looked at the body," | | 14 | "She walked back to the" | | 15 | "She shone the beam parallel" | | 16 | "She looked at the brass" | | 17 | "It was now pointing directly" | | 18 | "It came from Eva’s direction," | | 19 | "She looked at the brass" |
| | ratio | 0.299 | |
| 69.20% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 68 | | totalSentences | 87 | | matches | | 0 | "The air in the abandoned" | | 1 | "Detective Harlow Quinn checked the" | | 2 | "Her boots clicked against the" | | 3 | "She stopped at the foot" | | 4 | "This shouldn't have been a" | | 5 | "a voice called out" | | 6 | "It was Miller, a young," | | 7 | "Quinn ducked under the tape," | | 8 | "Miller said, gesturing toward the" | | 9 | "Quinn surveyed the platform." | | 10 | "It didn't look like a" | | 11 | "The Veil Market, the whisperers" | | 12 | "She’d heard the rumors in" | | 13 | "Quinn knelt beside the victim," | | 14 | "The man was dressed in" | | 15 | "Miller offered, standing over her" | | 16 | "Quinn didn't answer." | | 17 | "She reached out, not touching" | | 18 | "The needle wasn't pointing North." | | 19 | "It wasn't pointing anywhere constant;" |
| | ratio | 0.782 | |
| 57.47% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 87 | | matches | | 0 | "Yet, the air hummed with" |
| | ratio | 0.011 | |
| 38.69% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 48 | | technicalSentenceCount | 7 | | matches | | 0 | "It was Miller, a young, eager constable who was currently sweating through his high-vis vest despite the subterranean chill." | | 1 | "Instead of spray paint and discarded beer cans, there were mahogany kiosks, collapsible velvet-lined tables, and jars filled with powders that glimmered with an…" | | 2 | "Beside his outstretched hand lay a small object that didn't belong in a standard forensics kit: a brass compass, its casing thick with a green patina of verdigr…" | | 3 | "The dust was undisturbed for thirty feet in either direction, save for a single set of small, feminine footprints that led directly to the victim and then…" | | 4 | "It was a woman with a riot of curly red hair and round glasses that seemed to reflect more light than they should." | | 5 | "Instead, it was flickering, the edges blurring and stretching as if it were trying to detach itself from her boots." | | 6 | "In her place stood a tall, slender woman with a sharp jawline and eyes that mirrored Quinn’s own—a reflection in a mirror that wasn't there." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 17 | | uselessAdditionCount | 7 | | matches | | 0 | "Quinn said, her voice a low rasp" | | 1 | "Eva whispered, more to herself than to the police" | | 2 | "Quinn said, her voice dropping to a dangerous silkiness" | | 3 | "Eva corrected, though her hand didn't stop fidgeting with her hair" | | 4 | "Eva whispered, her voice trembling" | | 5 | "Quinn snapped, though her heart was hammering against her ribs" | | 6 | "Quinn said, her voice regaining its iron chill" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 14 | | fancyCount | 8 | | fancyTags | | 0 | "Quinn corrected (correct)" | | 1 | "Quinn ordered (order)" | | 2 | "Eva whispered (whisper)" | | 3 | "Eva corrected (correct)" | | 4 | "Eva whispered (whisper)" | | 5 | "Quinn snapped (snap)" | | 6 | "Quinn ordered (order)" | | 7 | "Quinn roared (roar)" |
| | dialogueSentences | 39 | | tagDensity | 0.359 | | leniency | 0.718 | | rawRatio | 0.571 | | effectiveRatio | 0.41 | |