| 62.07% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 2 | | adverbTags | | 0 | "Quinn turned slowly [slowly]" | | 1 | "she said carefully [carefully]" |
| | dialogueSentences | 29 | | tagDensity | 0.345 | | leniency | 0.69 | | rawRatio | 0.2 | | effectiveRatio | 0.138 | |
| 83.01% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 883 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "perfectly" | | 1 | "slowly" | | 2 | "carefully" |
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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) | |
| 54.70% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 883 | | totalAiIsms | 8 | | found | | | highlights | | 0 | "echoed" | | 1 | "firmly" | | 2 | "traced" | | 3 | "pristine" | | 4 | "measured" | | 5 | "etched" | | 6 | "intricate" | | 7 | "silence" |
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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 | 50 | | matches | (empty) | |
| 85.71% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 50 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 68 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 892 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 32.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 31 | | wordCount | 554 | | uniqueNames | 10 | | maxNameDensity | 2.35 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 13 | | Underground | 1 | | Victorian | 1 | | Detective | 2 | | Sergeant | 1 | | Peters | 7 | | Morris | 3 | | Eva | 1 | | Kowalski | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Detective" | | 3 | "Sergeant" | | 4 | "Peters" | | 5 | "Morris" | | 6 | "Eva" | | 7 | "Kowalski" |
| | places | (empty) | | globalScore | 0.327 | | windowScore | 0.667 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 37 | | glossingSentenceCount | 3 | | matches | | 0 | "appeared frozen in time - defunct advertising posters from the 1980s still clung to the walls, their edges curled and yellowed" | | 1 | "looked like elaborate engravings caught t" | | 2 | "looked like herb bundles" |
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| 87.89% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.121 | | wordCount | 892 | | matches | | 0 | "Not decorative scrollwork, she realized, but something more intentional" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 68 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 30 | | mean | 29.73 | | std | 16.44 | | cv | 0.553 | | sampleLengths | | 0 | 52 | | 1 | 24 | | 2 | 34 | | 3 | 58 | | 4 | 27 | | 5 | 54 | | 6 | 14 | | 7 | 19 | | 8 | 21 | | 9 | 6 | | 10 | 31 | | 11 | 41 | | 12 | 39 | | 13 | 13 | | 14 | 11 | | 15 | 43 | | 16 | 11 | | 17 | 26 | | 18 | 30 | | 19 | 33 | | 20 | 24 | | 21 | 8 | | 22 | 59 | | 23 | 10 | | 24 | 33 | | 25 | 23 | | 26 | 1 | | 27 | 49 | | 28 | 46 | | 29 | 52 |
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| 98.25% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 50 | | matches | | |
| 78.79% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 110 | | matches | | 0 | "were screaming" | | 1 | "was pointing" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 68 | | ratio | 0.074 | | matches | | 0 | "Her watch showed 3:47 AM - the witching hour, as her grandmother would have said." | | 1 | "The platform appeared frozen in time - defunct advertising posters from the 1980s still clung to the walls, their edges curled and yellowed." | | 2 | "Morris used to tease her about it - said she moved like she was still in basic training." | | 3 | "There - barely visible unless you knew to look for it - fresh scuff marks on the rails." | | 4 | "Quinn remembered Morris's last case - the impossible angles of his body, the symbols burned into the wall, the way the coroner's report listed natural causes despite the evidence of her own eyes." |
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| 99.87% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 548 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 22 | | adverbRatio | 0.040145985401459854 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.012773722627737226 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 68 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 68 | | mean | 13.12 | | std | 7.38 | | cv | 0.563 | | sampleLengths | | 0 | 19 | | 1 | 18 | | 2 | 15 | | 3 | 11 | | 4 | 8 | | 5 | 5 | | 6 | 7 | | 7 | 7 | | 8 | 20 | | 9 | 23 | | 10 | 15 | | 11 | 20 | | 12 | 11 | | 13 | 16 | | 14 | 12 | | 15 | 16 | | 16 | 9 | | 17 | 17 | | 18 | 9 | | 19 | 5 | | 20 | 7 | | 21 | 12 | | 22 | 5 | | 23 | 7 | | 24 | 9 | | 25 | 2 | | 26 | 4 | | 27 | 8 | | 28 | 23 | | 29 | 8 | | 30 | 20 | | 31 | 13 | | 32 | 9 | | 33 | 30 | | 34 | 6 | | 35 | 7 | | 36 | 11 | | 37 | 13 | | 38 | 18 | | 39 | 8 | | 40 | 4 | | 41 | 11 | | 42 | 2 | | 43 | 24 | | 44 | 14 | | 45 | 16 | | 46 | 15 | | 47 | 18 | | 48 | 7 | | 49 | 17 |
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| 98.53% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.6029411764705882 | | totalSentences | 68 | | uniqueOpeners | 41 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 44 | | matches | | 0 | "More importantly, weird meant the" | | 1 | "Somewhere in this city, Eva" |
| | ratio | 0.045 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 9 | | totalSentences | 44 | | matches | | 0 | "Her watch showed 3:47 AM" | | 1 | "His voice echoed oddly in" | | 2 | "Her fingers itched to pick" | | 3 | "she asked, studying the blood" | | 4 | "She stood, her knees protesting" | | 5 | "She swept her torch beam" | | 6 | "She moved to one of" | | 7 | "she said carefully" | | 8 | "She checked her watch again:" |
| | ratio | 0.205 | |
| 85.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 33 | | totalSentences | 44 | | matches | | 0 | "Detective Harlow Quinn's boots crunched" | | 1 | "The beam of her torch" | | 2 | "Her watch showed 3:47 AM" | | 3 | "His voice echoed oddly in" | | 4 | "Quinn had learned to dread" | | 5 | "The platform appeared frozen in" | | 6 | "The investigation team had set" | | 7 | "Peters said, consulting his notebook" | | 8 | "Quinn crouched beside the compass," | | 9 | "The brass casing bore an" | | 10 | "Her fingers itched to pick" | | 11 | "she asked, studying the blood" | | 12 | "Something was off about it." | | 13 | "She stood, her knees protesting" | | 14 | "Quinn traced the air above" | | 15 | "She swept her torch beam" | | 16 | "Dozens of similar circles dotted" | | 17 | "Quinn's attention caught on a" | | 18 | "The detective walked the perimeter" | | 19 | "Morris used to tease her" |
| | ratio | 0.75 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 44 | | matches | (empty) | | ratio | 0 | |
| 49.69% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 23 | | technicalSentenceCount | 3 | | matches | | 0 | "The investigation team had set up portable floodlights that cast harsh shadows across the scene." | | 1 | "In their glare, Quinn spotted something that made her pause: a brass compass lying in a pool of dried blood." | | 2 | "Somewhere in this city, Eva Kowalski was either dead or missing, and a compass that shouldn't exist was pointing toward answers Quinn wasn't sure she was ready …" |
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| 75.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 1 | | matches | | 0 | "Quinn straightened, her expression grim" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 29 | | tagDensity | 0.207 | | leniency | 0.414 | | rawRatio | 0 | | effectiveRatio | 0 | |