| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 3 | | adverbTags | | 0 | "Quinn asked briskly [briskly]" | | 1 | "Quinn said slowly [slowly]" | | 2 | "Eva said quietly [quietly]" |
| | dialogueSentences | 15 | | tagDensity | 0.533 | | leniency | 1 | | rawRatio | 0.375 | | effectiveRatio | 0.375 | |
| 65.34% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 577 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "cautiously" | | 1 | "really" | | 2 | "slowly" | | 3 | "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) | |
| 56.67% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 577 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "echoed" | | 1 | "silence" | | 2 | "scanning" | | 3 | "eyebrow" | | 4 | "pulse" |
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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 | 34 | | matches | (empty) | |
| 58.82% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 34 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 41 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 577 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 7.14% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 25 | | wordCount | 385 | | uniqueNames | 9 | | maxNameDensity | 2.86 | | worstName | "Quinn" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Quinn" | | discoveredNames | | Tube | 1 | | Detective | 1 | | Harlow | 1 | | Quinn | 11 | | Technicolor | 1 | | Constable | 1 | | Blake | 1 | | Eva | 7 | | Mutely | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Constable" | | 3 | "Blake" | | 4 | "Eva" |
| | places | (empty) | | globalScore | 0.071 | | windowScore | 0.5 | |
| 57.41% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 27 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like she might cry, her hand shaki" |
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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 | 577 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 41 | | matches | (empty) | |
| 53.62% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 17 | | mean | 33.94 | | std | 11.46 | | cv | 0.338 | | sampleLengths | | 0 | 54 | | 1 | 51 | | 2 | 18 | | 3 | 38 | | 4 | 47 | | 5 | 52 | | 6 | 35 | | 7 | 40 | | 8 | 35 | | 9 | 31 | | 10 | 26 | | 11 | 19 | | 12 | 31 | | 13 | 24 | | 14 | 31 | | 15 | 28 | | 16 | 17 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 34 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 71 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 41 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 385 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 9 | | adverbRatio | 0.023376623376623377 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.01818181818181818 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 41 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 41 | | mean | 14.07 | | std | 6.48 | | cv | 0.46 | | sampleLengths | | 0 | 26 | | 1 | 18 | | 2 | 10 | | 3 | 24 | | 4 | 16 | | 5 | 11 | | 6 | 18 | | 7 | 9 | | 8 | 29 | | 9 | 15 | | 10 | 9 | | 11 | 23 | | 12 | 10 | | 13 | 25 | | 14 | 17 | | 15 | 18 | | 16 | 17 | | 17 | 28 | | 18 | 12 | | 19 | 14 | | 20 | 5 | | 21 | 4 | | 22 | 12 | | 23 | 14 | | 24 | 17 | | 25 | 3 | | 26 | 13 | | 27 | 2 | | 28 | 8 | | 29 | 19 | | 30 | 13 | | 31 | 7 | | 32 | 11 | | 33 | 12 | | 34 | 12 | | 35 | 11 | | 36 | 10 | | 37 | 10 | | 38 | 9 | | 39 | 19 | | 40 | 17 |
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| 95.12% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.5853658536585366 | | totalSentences | 41 | | uniqueOpeners | 24 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 33 | | matches | | 0 | "Mutely, Eva held out a" | | 1 | "For good or ill, they" |
| | ratio | 0.061 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 7 | | totalSentences | 33 | | matches | | 0 | "Her polished shoes echoed in" | | 1 | "Her gloved fingers probed the" | | 2 | "She straightened up, surveying the" | | 3 | "She took a step towards" | | 4 | "She couldn't afford to let" | | 5 | "She knew in her gut" | | 6 | "She turned to face the" |
| | ratio | 0.212 | |
| 35.76% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 28 | | totalSentences | 33 | | matches | | 0 | "The flickering glow of the" | | 1 | "Her polished shoes echoed in" | | 2 | "The acrid stench of blood" | | 3 | "Quinn's experienced eye took in" | | 4 | "Quinn asked briskly, her focus" | | 5 | "Constable Blake hurried over, his" | | 6 | "Quinn arched an eyebrow as" | | 7 | "Her gloved fingers probed the" | | 8 | "She straightened up, surveying the" | | 9 | "A shimmer of awareness pricked" | | 10 | "Quinn demanded, recognizing the freckled" | | 11 | "She took a step towards" | | 12 | "Eva stammered, cheating glances at" | | 13 | "Quinn interrupted, striding over to" | | 14 | "A flash of the compass." | | 15 | "Eva tried to conceal." | | 16 | "Eva looked like she might" | | 17 | "Quinn's grip tightened." | | 18 | "The last time she'd encountered" | | 19 | "She couldn't afford to let" |
| | ratio | 0.848 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 33 | | matches | | 0 | "Before she could call out," |
| | ratio | 0.03 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 19 | | technicalSentenceCount | 1 | | matches | | 0 | "Quinn's experienced eye took in the scattered remnants of the bizarre black market that had sprung up in this forgotten corner of the city." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 4 | | fancyTags | | 0 | "gloved fingers probed (glove probe)" | | 1 | "Quinn demanded (demand)" | | 2 | "Eva stammered (stammer)" | | 3 | "Quinn interrupted (interrupt)" |
| | dialogueSentences | 15 | | tagDensity | 0.533 | | leniency | 1 | | rawRatio | 0.5 | | effectiveRatio | 0.5 | |