| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 11 | | tagDensity | 0.545 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.29% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1061 | | 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) | |
| 29.31% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1061 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "familiar" | | 1 | "weight" | | 2 | "footsteps" | | 3 | "echoing" | | 4 | "gloom" | | 5 | "mosaic" | | 6 | "flickered" | | 7 | "flicker" | | 8 | "hulking" | | 9 | "depths" | | 10 | "silence" | | 11 | "comfortable" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "air was thick with" | | count | 1 |
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| | highlights | | 0 | "The air was thick with" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 74 | | matches | | |
| 84.94% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 74 | | filterMatches | | | hedgeMatches | | 0 | "tried to" | | 1 | "happened to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 80 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 36 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 14 | | totalWords | 1050 | | ratio | 0.013 | | matches | | 0 | "Elusive little bastard." | | 1 | "Dispatch, I’m in a magical flea market under Camden, send everyone?" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 32 | | wordCount | 939 | | uniqueNames | 14 | | maxNameDensity | 0.75 | | worstName | "Harlow" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Harlow" | | discoveredNames | | Soho | 1 | | Raven | 2 | | Nest | 2 | | Harlow | 7 | | Quinn | 2 | | Finn | 3 | | Morris | 4 | | Victorian-era | 1 | | Tube | 1 | | Town | 1 | | Camden | 2 | | Saint | 1 | | Christopher | 1 | | Tomás | 4 |
| | persons | | 0 | "Raven" | | 1 | "Harlow" | | 2 | "Quinn" | | 3 | "Finn" | | 4 | "Morris" | | 5 | "Saint" | | 6 | "Christopher" | | 7 | "Tomás" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 60.71% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 56 | | glossingSentenceCount | 2 | | matches | | 0 | "felt like a cold, familiar weight" | | 1 | "looked like human skin" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.952 | | wordCount | 1050 | | matches | | 0 | "not with fear, but with a weary sadness" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 80 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 20 | | mean | 52.5 | | std | 29.27 | | cv | 0.557 | | sampleLengths | | 0 | 51 | | 1 | 42 | | 2 | 101 | | 3 | 73 | | 4 | 22 | | 5 | 82 | | 6 | 98 | | 7 | 82 | | 8 | 9 | | 9 | 60 | | 10 | 10 | | 11 | 51 | | 12 | 4 | | 13 | 44 | | 14 | 7 | | 15 | 83 | | 16 | 54 | | 17 | 56 | | 18 | 70 | | 19 | 51 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 74 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 157 | | matches | | 0 | "was watching" | | 1 | "was standing" |
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| 71.43% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 80 | | ratio | 0.025 | | matches | | 0 | "She catalogued his movements—the slight favoring of his right leg, the way his head swiveled looking for an escape route." | | 1 | "The crowd was a mosaic of the impossible—figures with iridescent scales, others whose shadows moved independently, humans with eyes that shone like polished coins." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 951 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 19 | | adverbRatio | 0.019978969505783387 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.007360672975814932 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 80 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 80 | | mean | 13.13 | | std | 7.92 | | cv | 0.603 | | sampleLengths | | 0 | 24 | | 1 | 22 | | 2 | 5 | | 3 | 23 | | 4 | 16 | | 5 | 3 | | 6 | 19 | | 7 | 13 | | 8 | 7 | | 9 | 20 | | 10 | 28 | | 11 | 14 | | 12 | 29 | | 13 | 16 | | 14 | 18 | | 15 | 6 | | 16 | 4 | | 17 | 10 | | 18 | 8 | | 19 | 2 | | 20 | 2 | | 21 | 24 | | 22 | 12 | | 23 | 8 | | 24 | 23 | | 25 | 15 | | 26 | 17 | | 27 | 25 | | 28 | 18 | | 29 | 24 | | 30 | 14 | | 31 | 17 | | 32 | 13 | | 33 | 5 | | 34 | 16 | | 35 | 11 | | 36 | 6 | | 37 | 14 | | 38 | 5 | | 39 | 4 | | 40 | 9 | | 41 | 14 | | 42 | 2 | | 43 | 19 | | 44 | 5 | | 45 | 11 | | 46 | 10 | | 47 | 7 | | 48 | 15 | | 49 | 4 |
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| 72.50% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.45 | | totalSentences | 80 | | uniqueOpeners | 36 | |
| 48.31% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 69 | | matches | | 0 | "Somewhere in there were answers." |
| | ratio | 0.014 | |
| 75.07% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 25 | | totalSentences | 69 | | matches | | 0 | "She was after him in" | | 1 | "Her worn leather watch, strapped" | | 2 | "Her target, a weasel-faced informant" | | 3 | "She catalogued his movements—the slight" | | 4 | "It was the same pattern" | | 5 | "She saw Morris’s face now," | | 6 | "She skidded to a halt" | | 7 | "It sprawled before her, a" | | 8 | "She’d written it off as" | | 9 | "She turned, her hand instinctively" | | 10 | "He wore a simple dark" | | 11 | "His demeanor was calm, assessing." | | 12 | "He didn’t belong here, either," | | 13 | "she asked, her voice sharper" | | 14 | "He didn’t offer a hand" | | 15 | "His gaze flickered over her," | | 16 | "She noticed a faint, silvery" | | 17 | "He looked at her not" | | 18 | "He gestured with his chin" | | 19 | "It was all connected." |
| | ratio | 0.362 | |
| 54.20% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 56 | | totalSentences | 69 | | matches | | 0 | "The rain fell in slanting" | | 1 | "Detective Harlow Quinn didn’t hesitate." | | 2 | "She was after him in" | | 3 | "Her worn leather watch, strapped" | | 4 | "Her target, a weasel-faced informant" | | 5 | "Harlow pushed harder, her waterproof" | | 6 | "The chase was a brutal," | | 7 | "She catalogued his movements—the slight" | | 8 | "It was the same pattern" | | 9 | "She saw Morris’s face now," | | 10 | "Finn swerved, slipping on the" | | 11 | "A gust of damp, cold" | | 12 | "She skidded to a halt" | | 13 | "This wasn't on any city" | | 14 | "This was something else." | | 15 | "The stairwell opened onto a" | | 16 | "Camden Town, by the faded" | | 17 | "The air was thick with" | | 18 | "This was the place whispered" | | 19 | "It sprawled before her, a" |
| | ratio | 0.812 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 69 | | matches | | 0 | "Now, standing here, she felt" | | 1 | "To go forward was to" | | 2 | "To turn back was to" |
| | ratio | 0.043 | |
| 57.82% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 42 | | technicalSentenceCount | 5 | | matches | | 0 | "Taking the steps two at a time, her boots slipping on the slick stone, Harlow descended into a gloom pierced by flickering, uneven light." | | 1 | "It sprawled before her, a cavernous underworld lit by lanterns that burned with green and violet flames." | | 2 | "Stalls fashioned from old train cars and patched-up tents lined the ghostly tracks, selling things that made the fine hairs on her arms stand up." | | 3 | "The crowd was a mosaic of the impossible—figures with iridescent scales, others whose shadows moved independently, humans with eyes that shone like polished coi…" | | 4 | "She was a foreign agent in hostile land, armed with a badge that meant nothing and a service weapon that might be useless against what lurked here." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 2 | | matches | | 0 | "she asked, her voice sharper than intended" | | 1 | "Tomás said, a flicker of a smile touching his lips" |
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| 59.09% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 1 | | fancyTags | | 0 | "the place whispered (whisper)" |
| | dialogueSentences | 11 | | tagDensity | 0.273 | | leniency | 0.545 | | rawRatio | 0.333 | | effectiveRatio | 0.182 | |