| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 1 | | adverbTags | | 0 | "The words tasted like [like]" |
| | dialogueSentences | 37 | | tagDensity | 0.297 | | leniency | 0.595 | | rawRatio | 0.091 | | effectiveRatio | 0.054 | |
| 95.38% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1083 | | 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) | |
| 39.98% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1083 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "weight" | | 1 | "velvet" | | 2 | "electric" | | 3 | "echoed" | | 4 | "silence" | | 5 | "pulse" | | 6 | "flickered" | | 7 | "stomach" | | 8 | "flicked" | | 9 | "shattered" | | 10 | "unreadable" |
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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 | 91 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 91 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 117 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 34 | | ratio | 0 | | matches | (empty) | |
| 0.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 43 | | markdownWords | 190 | | totalWords | 1073 | | ratio | 0.177 | | matches | | 0 | "The Veil Market." | | 1 | "Blood. Recent." | | 2 | "No turning back now." | | 3 | "\"Lost, detective?\"" | | 4 | "Dangerous territory." | | 5 | "\"You shouldn’t be here,\"" | | 6 | "\"This isn’t your world.\"" | | 7 | "\"He’s getting away.\"" | | 8 | "\"And you think following him into the back rooms is the answer?\"" | | 9 | "\"You don’t even know what’s back there.\"" | | 10 | "\"I know he’s connected to Morris’s death.\"" | | 11 | "\"Quinn—\"" | | 12 | "\"Stay out of it.\"" | | 13 | "\"You don’t understand. The things they sell back there—curses, memories, *pieces of people" | | 14 | "\"Then what do you suggest? Let him disappear again?\"" | | 15 | "\"Fine. But you don’t go alone.\"" | | 16 | "\"No guns. No sudden moves.\"" | | 17 | "\"Drink this.\"" | | 18 | "\"What is it?\"" | | 19 | "\"Protection. Sort of.\"" | | 20 | "\"It won’t stop a knife, but it’ll keep the worst of the magic off you.\"" | | 21 | "\"Happy?\"" | | 22 | "still" | | 23 | "\"You brought a guest,\"" | | 24 | "\"Detective Harlow Quinn. How… unexpected.\"" | | 25 | "\"You know me.\"" | | 26 | "\"I know *of" | | 27 | "\"Tell me, detective—do you *want" | | 28 | "\"I want justice.\"" | | 29 | "\"Justice. How quaint.\"" | | 30 | "\"You were right. She’s persistent.\"" | | 31 | "\"She’s also *stupid" | | 32 | "\"We need to *go" | | 33 | "\"What the hell was that?\"" | | 34 | "\"We’re not safe here. Not anymore.\"" | | 35 | "\"She knew my name.\"" | | 36 | "\"I *told" | | 37 | "\"This isn’t your world.\"" | | 38 | "twitched" | | 39 | "\"Move.\"" | | 40 | "\"You’re not ready for this.\"" | | 41 | "\"I don’t have a choice.\"" | | 42 | "\"Then we do this my way.\"" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 36 | | wordCount | 867 | | uniqueNames | 11 | | maxNameDensity | 1.73 | | worstName | "Quinn" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Quinn" | | discoveredNames | | Quinn | 15 | | Camden | 1 | | High | 1 | | Street | 1 | | Veil | 1 | | Three | 2 | | Tube | 1 | | Tomás | 11 | | Herrera | 1 | | Saint | 1 | | Christopher | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Tomás" | | 2 | "Herrera" | | 3 | "Saint" | | 4 | "Christopher" |
| | places | | 0 | "Camden" | | 1 | "High" | | 2 | "Street" |
| | globalScore | 0.635 | | windowScore | 0.5 | |
| 68.03% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 61 | | glossingSentenceCount | 2 | | matches | | 0 | "as if itching to reach for the medical bag slung over his shoulder" | | 1 | "quite human" |
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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 | 1073 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 117 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 45 | | mean | 23.84 | | std | 17.85 | | cv | 0.749 | | sampleLengths | | 0 | 1 | | 1 | 76 | | 2 | 3 | | 3 | 44 | | 4 | 67 | | 5 | 43 | | 6 | 6 | | 7 | 48 | | 8 | 6 | | 9 | 44 | | 10 | 28 | | 11 | 4 | | 12 | 34 | | 13 | 14 | | 14 | 28 | | 15 | 42 | | 16 | 38 | | 17 | 29 | | 18 | 6 | | 19 | 24 | | 20 | 23 | | 21 | 8 | | 22 | 57 | | 23 | 24 | | 24 | 8 | | 25 | 37 | | 26 | 8 | | 27 | 21 | | 28 | 12 | | 29 | 2 | | 30 | 3 | | 31 | 35 | | 32 | 18 | | 33 | 39 | | 34 | 20 | | 35 | 21 | | 36 | 9 | | 37 | 34 | | 38 | 9 | | 39 | 5 | | 40 | 35 | | 41 | 12 | | 42 | 14 | | 43 | 22 | | 44 | 12 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 91 | | matches | (empty) | |
| 70.13% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 154 | | matches | | 0 | "was heading" | | 1 | "wasn’t letting" | | 2 | "were piercing" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 117 | | ratio | 0.06 | | matches | | 0 | "*The Veil Market.* Three years of chasing whispers, and here it was—right under the city’s nose, hidden in the guts of an abandoned Tube station." | | 1 | "Shadows moved in ways that defied physics—too long, too sharp, stretching like fingers across the ceiling." | | 2 | "She spun, fist raised—only to find herself staring into the warm brown eyes of Tomás Herrera." | | 3 | "Three years of dead ends, and now—finally—a lead." | | 4 | "Quinn’s hand drifted toward her holster—useless here, but old habits died hard." | | 5 | "She gasped, her vision swimming—" | | 6 | "—and then Tomás was there, hauling her up, his voice sharp in her ear." |
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| 92.04% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 876 | | adjectiveStacks | 1 | | stackExamples | | 0 | "heavier, pressing against her" |
| | adverbCount | 37 | | adverbRatio | 0.04223744292237443 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.005707762557077625 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 117 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 117 | | mean | 9.16 | | std | 6.32 | | cv | 0.69 | | sampleLengths | | 0 | 34 | | 1 | 25 | | 2 | 17 | | 3 | 3 | | 4 | 14 | | 5 | 11 | | 6 | 7 | | 7 | 1 | | 8 | 7 | | 9 | 4 | | 10 | 17 | | 11 | 16 | | 12 | 22 | | 13 | 12 | | 14 | 3 | | 15 | 11 | | 16 | 17 | | 17 | 12 | | 18 | 6 | | 19 | 16 | | 20 | 20 | | 21 | 8 | | 22 | 4 | | 23 | 3 | | 24 | 3 | | 25 | 9 | | 26 | 28 | | 27 | 7 | | 28 | 12 | | 29 | 8 | | 30 | 8 | | 31 | 3 | | 32 | 1 | | 33 | 14 | | 34 | 20 | | 35 | 5 | | 36 | 9 | | 37 | 4 | | 38 | 9 | | 39 | 9 | | 40 | 6 | | 41 | 15 | | 42 | 8 | | 43 | 19 | | 44 | 12 | | 45 | 14 | | 46 | 12 | | 47 | 8 | | 48 | 19 | | 49 | 2 |
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| 53.28% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.3504273504273504 | | totalSentences | 117 | | uniqueOpeners | 41 | |
| 78.43% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 85 | | matches | | 0 | "Then Tomás sighed, rubbing his" | | 1 | "Then he sighed, his grip" |
| | ratio | 0.024 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 24 | | totalSentences | 85 | | matches | | 0 | "She didn’t hesitate." | | 1 | "His voice slithered into her" | | 2 | "Her eyes locked onto the" | | 3 | "He was heading toward the" | | 4 | "She spun, fist raised—only to" | | 5 | "His Saint Christopher medallion glinted" | | 6 | "he said, voice low" | | 7 | "His fingers twitched, as if" | | 8 | "She wasn’t letting it slip" | | 9 | "She turned, but he grabbed" | | 10 | "She yanked her arm back." | | 11 | "He reached into his bag" | | 12 | "She eyed it." | | 13 | "He pressed it into her" | | 14 | "He pushed the curtain aside." | | 15 | "Her skin was too smooth," | | 16 | "Her gaze flicked to Quinn." | | 17 | "She leaned forward" | | 18 | "She turned to the suspect" | | 19 | "She gasped, her vision swimming—" |
| | ratio | 0.282 | |
| 12.94% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 76 | | totalSentences | 85 | | matches | | 0 | "The bone token burned cold" | | 1 | "*The Veil Market.* Three years" | | 2 | "The suspect had vanished down" | | 3 | "She didn’t hesitate." | | 4 | "The stairs groaned under her" | | 5 | "The air thickened, pressing against" | | 6 | "Copper and damp stone filled" | | 7 | "The market sprawled before her," | | 8 | "Shadows moved in ways that" | | 9 | "A vendor with too many" | | 10 | "His voice slithered into her" | | 11 | "Quinn ignored him." | | 12 | "Her eyes locked onto the" | | 13 | "He was heading toward the" | | 14 | "A hand clamped onto her" | | 15 | "She spun, fist raised—only to" | | 16 | "His Saint Christopher medallion glinted" | | 17 | "he said, voice low" | | 18 | "Quinn jerked free." | | 19 | "Tomás exhaled sharply, his gaze" |
| | ratio | 0.894 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 85 | | matches | | 0 | "Before she could argue, he" | | 1 | "—and then Tomás was there," |
| | ratio | 0.024 | |
| 43.65% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 36 | | technicalSentenceCount | 5 | | matches | | 0 | "The bone token burned cold against Quinn’s palm as she skidded around the corner of Camden High Street, her boots splashing through puddles that reflected the s…" | | 1 | "A force like a freight train slammed into her chest, sending her crashing into the shelves." | | 2 | "The alcove’s curtain rippled, as if something were pressing against it from the inside." | | 3 | "The market’s whispers rose around them, a chorus of voices that weren’t quite human." | | 4 | "The vendor with too many teeth grinned as they passed, his fingers tapping against a jar of something that *twitched*." |
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| 34.09% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 2 | | matches | | 0 | "he said, voice low" | | 1 | "His fingers twitched, as if itching to reach for the medical bag slung over his shoulder" |
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| 95.95% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 2 | | fancyTags | | 0 | "He pressed (press)" | | 1 | "Tomás snapped (snap)" |
| | dialogueSentences | 37 | | tagDensity | 0.108 | | leniency | 0.216 | | rawRatio | 0.5 | | effectiveRatio | 0.108 | |