| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 88.01% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1668 | | totalAiIsmAdverbs | 4 | | found | | 0 | | | 1 | | | 2 | | adverb | "deliberately" | | count | 1 |
|
| | highlights | | 0 | "slightly" | | 1 | "slowly" | | 2 | "deliberately" |
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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) | |
| 64.03% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1668 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "weight" | | 1 | "warmth" | | 2 | "chill" | | 3 | "traced" | | 4 | "pulse" | | 5 | "whisper" | | 6 | "trembled" | | 7 | "stomach" | | 8 | "pulsed" | | 9 | "electric" |
| |
| 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 | 311 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 7 | | hedgeCount | 1 | | narrationSentences | 311 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 311 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 19 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1666 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 0 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 64 | | wordCount | 1666 | | uniqueNames | 15 | | maxNameDensity | 2.1 | | worstName | "You" | | maxWindowNameDensity | 5 | | worstWindowName | "You" | | discoveredNames | | London | 1 | | Lane | 3 | | Grey | 1 | | Docklands | 1 | | Avaros | 3 | | Pre-Law | 1 | | Evan | 2 | | Tuesday | 1 | | Marseille | 2 | | Cardiff | 1 | | You | 35 | | Brick | 3 | | Close | 4 | | Looked | 3 | | Say | 3 |
| | persons | | 0 | "Grey" | | 1 | "Avaros" | | 2 | "Evan" | | 3 | "You" |
| | places | | 0 | "London" | | 1 | "Lane" | | 2 | "Docklands" | | 3 | "Marseille" | | 4 | "Cardiff" | | 5 | "Brick" | | 6 | "Say" |
| | globalScore | 0.45 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 118 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1666 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 311 | | matches | | |
| 87.38% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 55 | | mean | 30.29 | | std | 13.81 | | cv | 0.456 | | sampleLengths | | 0 | 83 | | 1 | 11 | | 2 | 21 | | 3 | 20 | | 4 | 18 | | 5 | 21 | | 6 | 50 | | 7 | 7 | | 8 | 47 | | 9 | 21 | | 10 | 44 | | 11 | 6 | | 12 | 18 | | 13 | 8 | | 14 | 33 | | 15 | 23 | | 16 | 18 | | 17 | 39 | | 18 | 27 | | 19 | 34 | | 20 | 38 | | 21 | 27 | | 22 | 27 | | 23 | 16 | | 24 | 43 | | 25 | 21 | | 26 | 29 | | 27 | 46 | | 28 | 15 | | 29 | 27 | | 30 | 27 | | 31 | 19 | | 32 | 39 | | 33 | 43 | | 34 | 12 | | 35 | 24 | | 36 | 28 | | 37 | 20 | | 38 | 35 | | 39 | 41 | | 40 | 35 | | 41 | 25 | | 42 | 37 | | 43 | 50 | | 44 | 39 | | 45 | 41 | | 46 | 45 | | 47 | 17 | | 48 | 25 | | 49 | 46 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 311 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 345 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 311 | | ratio | 0.003 | | matches | | 0 | "Heterochromatic eyes—one amber, one black—tracking her face like he had memorized every fracture." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1676 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 41 | | adverbRatio | 0.024463007159904536 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.0053699284009546535 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 311 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 311 | | mean | 5.36 | | std | 3.26 | | cv | 0.609 | | sampleLengths | | 0 | 8 | | 1 | 4 | | 2 | 19 | | 3 | 17 | | 4 | 11 | | 5 | 5 | | 6 | 6 | | 7 | 13 | | 8 | 4 | | 9 | 7 | | 10 | 7 | | 11 | 8 | | 12 | 6 | | 13 | 3 | | 14 | 10 | | 15 | 7 | | 16 | 4 | | 17 | 10 | | 18 | 4 | | 19 | 3 | | 20 | 7 | | 21 | 4 | | 22 | 7 | | 23 | 4 | | 24 | 2 | | 25 | 6 | | 26 | 8 | | 27 | 2 | | 28 | 9 | | 29 | 19 | | 30 | 4 | | 31 | 3 | | 32 | 2 | | 33 | 6 | | 34 | 5 | | 35 | 8 | | 36 | 11 | | 37 | 11 | | 38 | 1 | | 39 | 3 | | 40 | 6 | | 41 | 11 | | 42 | 4 | | 43 | 5 | | 44 | 3 | | 45 | 8 | | 46 | 3 | | 47 | 7 | | 48 | 8 | | 49 | 5 |
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| 34.24% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 49 | | diversityRatio | 0.2604501607717042 | | totalSentences | 311 | | uniqueOpeners | 81 | |
| 24.78% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 269 | | matches | | 0 | "Bright blue eyes locked onto" | | 1 | "Only two deadbolts remained between" |
| | ratio | 0.007 | |
| 4.39% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 145 | | totalSentences | 269 | | matches | | 0 | "She stood in the doorway," | | 1 | "He did not smile." | | 2 | "He rarely did when the" | | 3 | "You are three floors above" | | 4 | "Her voice cut through the" | | 5 | "I used two." | | 6 | "His accent curled around the" | | 7 | "She crossed her arms." | | 8 | "You do not knock." | | 9 | "I do not deal in" | | 10 | "He shifted his weight." | | 11 | "She studied his posture." | | 12 | "He had been moving fast" | | 13 | "She stepped back." | | 14 | "You still live in a" | | 15 | "He ran a gloved finger" | | 16 | "I live in a flat." | | 17 | "She moved past him toward" | | 18 | "She pulled out a dented" | | 19 | "She tossed one to him." |
| | ratio | 0.539 | |
| 21.34% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 236 | | totalSentences | 269 | | matches | | 0 | "The deadbolts slid back with" | | 1 | "The door swung inward." | | 2 | "She stood in the doorway," | | 3 | "Platinum blond hair swept back." | | 4 | "He did not smile." | | 5 | "He rarely did when the" | | 6 | "You are three floors above" | | 7 | "Her voice cut through the" | | 8 | "The front door has three" | | 9 | "I used two." | | 10 | "His accent curled around the" | | 11 | "The third took longer than" | | 12 | "She crossed her arms." | | 13 | "The crescent scar on her" | | 14 | "You do not knock." | | 15 | "I do not deal in" | | 16 | "He shifted his weight." | | 17 | "The floorboards groaned under his" | | 18 | "She studied his posture." | | 19 | "Cane angled slightly to the" |
| | ratio | 0.877 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 269 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 33 | | technicalSentenceCount | 1 | | matches | | 0 | "Better than the professor who called her brilliant but distant." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |