| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 2 | | adverbTags | | 0 | "He sipped then [then]" | | 1 | "The black eye darkened further [further]" |
| | dialogueSentences | 41 | | tagDensity | 0.341 | | leniency | 0.683 | | rawRatio | 0.143 | | effectiveRatio | 0.098 | |
| 97.16% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1758 | | totalAiIsmAdverbs | 1 | | found | | 0 | | adverb | "deliberately" | | count | 1 |
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| | 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) | |
| 63.03% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1758 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "familiar" | | 1 | "encounter" | | 2 | "silence" | | 3 | "flicked" | | 4 | "pulse" | | 5 | "ensure" | | 6 | "calculating" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 96 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 96 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 124 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 38 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1757 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 35 | | wordCount | 1083 | | uniqueNames | 11 | | maxNameDensity | 0.83 | | worstName | "Lucien" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 8 | | Moreau | 1 | | Lucien | 9 | | Eva | 5 | | Heat | 2 | | London | 1 | | Cardiff | 1 | | Brick | 2 | | Lane | 2 | | French | 1 | | Ptolemy | 3 |
| | persons | | 0 | "Rory" | | 1 | "Moreau" | | 2 | "Lucien" | | 3 | "Eva" | | 4 | "Heat" | | 5 | "Ptolemy" |
| | places | | 0 | "London" | | 1 | "Cardiff" | | 2 | "Brick" | | 3 | "Lane" | | 4 | "French" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 84 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1757 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 124 | | matches | | 0 | "had that night" | | 1 | "feel that heat" |
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| 52.94% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 36 | | mean | 48.81 | | std | 16.36 | | cv | 0.335 | | sampleLengths | | 0 | 59 | | 1 | 20 | | 2 | 70 | | 3 | 71 | | 4 | 56 | | 5 | 67 | | 6 | 33 | | 7 | 53 | | 8 | 64 | | 9 | 76 | | 10 | 51 | | 11 | 39 | | 12 | 56 | | 13 | 44 | | 14 | 46 | | 15 | 64 | | 16 | 58 | | 17 | 67 | | 18 | 57 | | 19 | 47 | | 20 | 51 | | 21 | 13 | | 22 | 66 | | 23 | 55 | | 24 | 52 | | 25 | 44 | | 26 | 40 | | 27 | 31 | | 28 | 51 | | 29 | 32 | | 30 | 57 | | 31 | 10 | | 32 | 61 | | 33 | 40 | | 34 | 39 | | 35 | 17 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 96 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 180 | | matches | (empty) | |
| 73.73% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 2 | | flaggedSentences | 3 | | totalSentences | 124 | | ratio | 0.024 | | matches | | 0 | "Quick thinking had kept her alive then; it needed to work now." | | 1 | "The movement brought her shoulder against a shelf of scrolls; one toppled, spilling handwritten notes across the floor." | | 2 | "The past sat between them like another body in the cramped room—hurt tangled with the memory of his mouth, the heat that had flared and been denied." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 833 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 30 | | adverbRatio | 0.03601440576230492 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.004801920768307323 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 124 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 124 | | mean | 14.17 | | std | 7.76 | | cv | 0.548 | | sampleLengths | | 0 | 16 | | 1 | 29 | | 2 | 14 | | 3 | 20 | | 4 | 19 | | 5 | 12 | | 6 | 27 | | 7 | 12 | | 8 | 16 | | 9 | 14 | | 10 | 26 | | 11 | 15 | | 12 | 24 | | 13 | 12 | | 14 | 20 | | 15 | 7 | | 16 | 1 | | 17 | 28 | | 18 | 12 | | 19 | 19 | | 20 | 7 | | 21 | 26 | | 22 | 15 | | 23 | 9 | | 24 | 17 | | 25 | 12 | | 26 | 14 | | 27 | 16 | | 28 | 6 | | 29 | 28 | | 30 | 10 | | 31 | 15 | | 32 | 33 | | 33 | 13 | | 34 | 5 | | 35 | 15 | | 36 | 11 | | 37 | 25 | | 38 | 9 | | 39 | 8 | | 40 | 22 | | 41 | 4 | | 42 | 4 | | 43 | 29 | | 44 | 19 | | 45 | 8 | | 46 | 15 | | 47 | 21 | | 48 | 13 | | 49 | 12 |
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| 70.43% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.4274193548387097 | | totalSentences | 124 | | uniqueOpeners | 53 | |
| 35.46% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 94 | | matches | | 0 | "Bright blue eyes narrowed." |
| | ratio | 0.011 | |
| 71.06% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 35 | | totalSentences | 94 | | matches | | 0 | "His accent thickened the direct" | | 1 | "She barred the narrow gap" | | 2 | "She paused, took in the" | | 3 | "He advanced a step, close" | | 4 | "His mouth curved, not quite" | | 5 | "She released the door and" | | 6 | "She nudged a stack of" | | 7 | "He shed his jacket, folding" | | 8 | "Their last encounter had ended" | | 9 | "He'd pulled back then, eyes" | | 10 | "She filled the kettle from" | | 11 | "His voice stayed low, threaded" | | 12 | "She reached for two mugs," | | 13 | "Her pulse kicked harder, but" | | 14 | "He took one mug, fingers" | | 15 | "He sipped, then set the" | | 16 | "He leaned a hip against" | | 17 | "She set her mug down" | | 18 | "His hand lifted, hovering near" | | 19 | "She ignored them." |
| | ratio | 0.372 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 88 | | totalSentences | 94 | | matches | | 0 | "The door flew open under" | | 1 | "Lucien Moreau filled the threshold," | | 2 | "His accent thickened the direct" | | 3 | "She barred the narrow gap" | | 4 | "The small crescent scar on" | | 5 | "She paused, took in the" | | 6 | "Lucien tilted his head, the" | | 7 | "Ptolemy bumped his head against" | | 8 | "Curry spices from the shop" | | 9 | "Books stacked on the battered" | | 10 | "He advanced a step, close" | | 11 | "Heat rose from him, nothing" | | 12 | "Rory's fingers tightened on the" | | 13 | "The name alone pulled the" | | 14 | "His mouth curved, not quite" | | 15 | "She released the door and" | | 16 | "The space closed around them," | | 17 | "She nudged a stack of" | | 18 | "Lucien set the cane against" | | 19 | "He shed his jacket, folding" |
| | ratio | 0.936 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 94 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 49 | | technicalSentenceCount | 1 | | matches | | 0 | "Curry spices from the shop below curled up the stairwell, heavy and familiar, mixing with the old-paper scent that clung to every surface inside Eva's flat." |
| |
| 89.29% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 1 | | matches | | 0 | "name slipped out, traitorous" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |