| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 12 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 97.09% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1718 | | totalAiIsmAdverbs | 1 | | 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) | |
| 35.97% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1718 | | totalAiIsms | 22 | | found | | | highlights | | 0 | "pulse" | | 1 | "rhythmic" | | 2 | "gloom" | | 3 | "tension" | | 4 | "silence" | | 5 | "weight" | | 6 | "glint" | | 7 | "dance" | | 8 | "indexed" | | 9 | "velvet" | | 10 | "traced" | | 11 | "glinting" | | 12 | "echo" | | 13 | "chilling" | | 14 | "predator" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 125 | | matches | | |
| 62.86% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 5 | | narrationSentences | 125 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 130 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 40 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1710 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 70 | | wordCount | 1618 | | uniqueNames | 20 | | maxNameDensity | 1.42 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | London | 3 | | Harlow | 2 | | Quinn | 23 | | Raven | 1 | | Nest | 1 | | Herrera | 18 | | Seville | 1 | | God | 1 | | Morris | 2 | | Camden | 2 | | Saint | 2 | | Christopher | 2 | | North | 1 | | Tube | 2 | | Blitz | 1 | | Crown | 1 | | Veil | 1 | | Market | 3 | | Thames | 1 | | Detective | 2 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Raven" | | 3 | "Herrera" | | 4 | "Morris" | | 5 | "Saint" | | 6 | "Christopher" | | 7 | "Blitz" | | 8 | "Crown" | | 9 | "Market" |
| | places | | 0 | "London" | | 1 | "Seville" | | 2 | "Camden" | | 3 | "North" | | 4 | "Thames" |
| | globalScore | 0.789 | | windowScore | 0.667 | |
| 30.95% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 105 | | glossingSentenceCount | 5 | | matches | | 0 | "looked like a jagged piece of ivory" | | 1 | "sounded like a countdown" | | 2 | "looked like a woman who had already lost" | | 3 | "script that seemed to move when she wasn't looking directly at it" | | 4 | "sounded like the stones themselves were sp" |
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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 | 1710 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 130 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 42 | | mean | 40.71 | | std | 22.63 | | cv | 0.556 | | sampleLengths | | 0 | 67 | | 1 | 47 | | 2 | 84 | | 3 | 64 | | 4 | 60 | | 5 | 48 | | 6 | 14 | | 7 | 5 | | 8 | 89 | | 9 | 51 | | 10 | 38 | | 11 | 74 | | 12 | 58 | | 13 | 3 | | 14 | 34 | | 15 | 40 | | 16 | 72 | | 17 | 10 | | 18 | 26 | | 19 | 43 | | 20 | 63 | | 21 | 3 | | 22 | 53 | | 23 | 59 | | 24 | 73 | | 25 | 24 | | 26 | 15 | | 27 | 39 | | 28 | 56 | | 29 | 22 | | 30 | 51 | | 31 | 28 | | 32 | 28 | | 33 | 14 | | 34 | 50 | | 35 | 28 | | 36 | 40 | | 37 | 43 | | 38 | 10 | | 39 | 9 | | 40 | 46 | | 41 | 29 |
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| 94.04% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 125 | | matches | | 0 | "were gone" | | 1 | "were layered" | | 2 | "was headed" | | 3 | "was swallowed" |
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| 48.48% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 6 | | totalVerbs | 264 | | matches | | 0 | "was operating" | | 1 | "was stepping" | | 2 | "was glowing" | | 3 | "wasn't looking" | | 4 | "was leaking" | | 5 | "were speaking" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 5 | | flaggedSentences | 15 | | totalSentences | 130 | | ratio | 0.115 | | matches | | 0 | "The rain in London wasn’t a downpour; it was a cold, persistent grief that soaked through wool and settled into the marrow." | | 1 | "Even from forty feet away, Quinn could see the way he clutched his messenger bag to his side—the way a man carries something he can’t afford to break or lose." | | 2 | "Now, he was the medic for a group Quinn had been circling for months—the ones connected to the same whispered names that had been in DS Morris’s notebook the night he died." | | 3 | "The air coming from the tunnel wasn't just cold; it was heavy." | | 4 | "It smelled of ozone, scorched copper, and something ancient—like the dust of a tomb disturbed after a thousand years." | | 5 | "There was no guard, no camera, but Herrera held something out—a small, white object that looked like a jagged piece of ivory." | | 6 | "She’d heard the rumors in the darker corners of the precinct—stories told by traumatized informants about a place where the laws of the Crown stopped at the threshold." | | 7 | "The door didn't slide or swing; it seemed to dissolve at the edges, pulling back like an eyelid." | | 8 | "She remembered his face in the morgue—the way there had been no marks on him, yet his eyes had turned the color of spent ash." | | 9 | "She didn't aim it; she kept it in a low ready, her finger indexed along the slide." | | 10 | "She caught a glimpse of her reflection in the distorted space—her salt-and-pepper hair, the sharp, relentless line of her jaw." | | 11 | "She found herself standing on the rusted remains of a platform in an abandoned station, but the graffiti on the walls wasn't spray paint—it was glowing, pulsing script that seemed to move when she wasn't looking directly at it." | | 12 | "He looked pale, his hand trembling as he traced the scar on his left forearm—a nervous tic Quinn had noted in his surveillance logs." | | 13 | "He didn't run this time; he couldn't." | | 14 | "From the shadows of the tunnels, things began to move—shapes that didn't obey the geometry of the station." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1637 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 26 | | adverbRatio | 0.01588271227855834 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.006108735491753207 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 130 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 130 | | mean | 13.15 | | std | 7.19 | | cv | 0.547 | | sampleLengths | | 0 | 22 | | 1 | 34 | | 2 | 11 | | 3 | 10 | | 4 | 2 | | 5 | 21 | | 6 | 14 | | 7 | 22 | | 8 | 14 | | 9 | 2 | | 10 | 16 | | 11 | 30 | | 12 | 14 | | 13 | 9 | | 14 | 12 | | 15 | 8 | | 16 | 21 | | 17 | 6 | | 18 | 22 | | 19 | 32 | | 20 | 6 | | 21 | 2 | | 22 | 21 | | 23 | 6 | | 24 | 13 | | 25 | 14 | | 26 | 3 | | 27 | 2 | | 28 | 13 | | 29 | 10 | | 30 | 7 | | 31 | 17 | | 32 | 18 | | 33 | 24 | | 34 | 15 | | 35 | 17 | | 36 | 19 | | 37 | 20 | | 38 | 18 | | 39 | 19 | | 40 | 11 | | 41 | 13 | | 42 | 12 | | 43 | 19 | | 44 | 10 | | 45 | 13 | | 46 | 13 | | 47 | 22 | | 48 | 3 | | 49 | 3 |
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| 36.92% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 17 | | diversityRatio | 0.24615384615384617 | | totalSentences | 130 | | uniqueOpeners | 32 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 120 | | matches | (empty) | | ratio | 0 | |
| 50.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 51 | | totalSentences | 120 | | matches | | 0 | "She checked the worn leather" | | 1 | "Her pulse was a steady," | | 2 | "She hadn't moved a muscle" | | 3 | "He looked smaller in the" | | 4 | "Her boots made no sound" | | 5 | "She kept her distance, sticking" | | 6 | "He didn’t look back, but" | | 7 | "She knew his file by" | | 8 | "He’d spotted her, or perhaps" | | 9 | "She was fifty-nine inches of" | | 10 | "She didn't waste breath on" | | 11 | "She followed him into a" | | 12 | "He skidded around a corner," | | 13 | "They tore through the backstreets," | | 14 | "He dived through a gap" | | 15 | "She saw the flash of" | | 16 | "It smelled of ozone, scorched" | | 17 | "She reached the top of" | | 18 | "He reached the heavy, reinforced" | | 19 | "She’d heard the rumors in" |
| | ratio | 0.425 | |
| 10.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 108 | | totalSentences | 120 | | matches | | 0 | "The rain in London wasn’t" | | 1 | "Detective Harlow Quinn stood in" | | 2 | "The light smeared across the" | | 3 | "She checked the worn leather" | | 4 | "Her pulse was a steady," | | 5 | "She hadn't moved a muscle" | | 6 | "The door to the bar" | | 7 | "A man stepped out, pulling" | | 8 | "He looked smaller in the" | | 9 | "Quinn waited until he reached" | | 10 | "Her boots made no sound" | | 11 | "She kept her distance, sticking" | | 12 | "Herrera was fast, his gait" | | 13 | "He didn’t look back, but" | | 14 | "She knew his file by" | | 15 | "Herrera turned north, heading toward" | | 16 | "The streetlights here were sparser," | | 17 | "Herrera’s pace broke into a" | | 18 | "He’d spotted her, or perhaps" | | 19 | "Quinn’s voice was a whip-crack," |
| | ratio | 0.9 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 4 | | totalSentences | 120 | | matches | | 0 | "Even from forty feet away," | | 1 | "Now, he was the medic" | | 2 | "If she let Herrera go," | | 3 | "If she followed, she was" |
| | ratio | 0.033 | |
| 77.92% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 77 | | technicalSentenceCount | 7 | | matches | | 0 | "He didn’t look back, but there was a tension in his shoulders that told Quinn he was operating on a hair-trigger." | | 1 | "Now, he was the medic for a group Quinn had been circling for months—the ones connected to the same whispered names that had been in DS Morris’s notebook the ni…" | | 2 | "Herrera was nimble, leaping over a collapsed crate of rotting cabbage with a grace that spoke of desperation." | | 3 | "He dived through a gap in a chain-link fence that led toward the old industrial guts of the borough." | | 4 | "There was no guard, no camera, but Herrera held something out—a small, white object that looked like a jagged piece of ivory." | | 5 | "She found herself standing on the rusted remains of a platform in an abandoned station, but the graffiti on the walls wasn't spray paint—it was glowing, pulsing…" | | 6 | "Quinn stood her ground, the salt-and-pepper hair at her temples damp with sweat, her brown eyes fixed on the man who held the key to her partner's death." |
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| 41.67% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 1 | | matches | | 0 | "he rasped, the word barely audible over the market's thrum" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 2 | | fancyTags | | 0 | "she shouted (shout)" | | 1 | "a voice whispered (whisper)" |
| | dialogueSentences | 12 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0.5 | | effectiveRatio | 0.333 | |