| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 20 | | adverbTagCount | 2 | | adverbTags | | 0 | "He stopped just [just]" | | 1 | "she said slowly [slowly]" |
| | dialogueSentences | 41 | | tagDensity | 0.488 | | leniency | 0.976 | | rawRatio | 0.1 | | effectiveRatio | 0.098 | |
| 81.47% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1349 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "slightly" | | 1 | "really" | | 2 | "perfectly" | | 3 | "slowly" | | 4 | "softly" |
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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) | |
| 36.99% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1349 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "silence" | | 1 | "flickered" | | 2 | "weight" | | 3 | "charged" | | 4 | "reminder" | | 5 | "could feel" | | 6 | "porcelain" | | 7 | "echoed" | | 8 | "chaotic" | | 9 | "footsteps" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 93 | | matches | (empty) | |
| 66.05% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 4 | | narrationSentences | 93 | | filterMatches | | | hedgeMatches | | 0 | "seemed to" | | 1 | "tried to" | | 2 | "started to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 114 | | 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 | 1348 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 16 | | unquotedAttributions | 0 | | matches | (empty) | |
| 99.26% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 27 | | wordCount | 1084 | | uniqueNames | 10 | | maxNameDensity | 1.01 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Brick | 1 | | Lane | 1 | | Ptolemy | 2 | | Persian | 1 | | Eva | 2 | | Moreau | 1 | | Marseille | 1 | | London | 1 | | Rory | 11 | | Lucien | 6 |
| | persons | | 0 | "Ptolemy" | | 1 | "Eva" | | 2 | "Moreau" | | 3 | "Rory" | | 4 | "Lucien" |
| | places | | 0 | "Brick" | | 1 | "Lane" | | 2 | "Marseille" | | 3 | "London" |
| | globalScore | 0.993 | | windowScore | 1 | |
| 51.32% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 76 | | glossingSentenceCount | 3 | | matches | | 0 | "looked like he belonged in a gallery, not" | | 1 | "void that seemed to drink the light" | | 2 | "looked like a man who had everything unde" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.742 | | wordCount | 1348 | | matches | | 0 | "not as a request, but as a demand" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 114 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 42 | | mean | 32.1 | | std | 20.17 | | cv | 0.628 | | sampleLengths | | 0 | 63 | | 1 | 71 | | 2 | 52 | | 3 | 64 | | 4 | 65 | | 5 | 26 | | 6 | 23 | | 7 | 18 | | 8 | 36 | | 9 | 22 | | 10 | 7 | | 11 | 50 | | 12 | 45 | | 13 | 5 | | 14 | 34 | | 15 | 52 | | 16 | 5 | | 17 | 24 | | 18 | 24 | | 19 | 27 | | 20 | 22 | | 21 | 44 | | 22 | 47 | | 23 | 18 | | 24 | 6 | | 25 | 61 | | 26 | 14 | | 27 | 20 | | 28 | 10 | | 29 | 45 | | 30 | 43 | | 31 | 34 | | 32 | 4 | | 33 | 4 | | 34 | 15 | | 35 | 61 | | 36 | 24 | | 37 | 5 | | 38 | 41 | | 39 | 11 | | 40 | 43 | | 41 | 63 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 93 | | matches | | |
| 28.18% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 5 | | totalVerbs | 194 | | matches | | 0 | "was currently weaving" | | 1 | "was watching" | | 2 | "wasn't watching" | | 3 | "was lying" | | 4 | "was already walking" |
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| 92.73% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 1 | | flaggedSentences | 2 | | totalSentences | 114 | | ratio | 0.018 | | matches | | 0 | "One was amber, warm as honey; the other was black, a void that seemed to drink the light." | | 1 | "He was close enough that she could smell him—sandalwood and rain, a scent that had haunted her dreams for six months." |
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| 92.81% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1088 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 45 | | adverbRatio | 0.04136029411764706 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.007352941176470588 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 114 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 114 | | mean | 11.82 | | std | 6.53 | | cv | 0.552 | | sampleLengths | | 0 | 11 | | 1 | 25 | | 2 | 11 | | 3 | 16 | | 4 | 5 | | 5 | 9 | | 6 | 12 | | 7 | 22 | | 8 | 23 | | 9 | 17 | | 10 | 8 | | 11 | 8 | | 12 | 19 | | 13 | 14 | | 14 | 19 | | 15 | 11 | | 16 | 11 | | 17 | 9 | | 18 | 6 | | 19 | 16 | | 20 | 25 | | 21 | 18 | | 22 | 3 | | 23 | 23 | | 24 | 5 | | 25 | 4 | | 26 | 11 | | 27 | 3 | | 28 | 15 | | 29 | 3 | | 30 | 16 | | 31 | 20 | | 32 | 18 | | 33 | 4 | | 34 | 7 | | 35 | 16 | | 36 | 13 | | 37 | 21 | | 38 | 4 | | 39 | 14 | | 40 | 12 | | 41 | 15 | | 42 | 5 | | 43 | 29 | | 44 | 5 | | 45 | 4 | | 46 | 4 | | 47 | 23 | | 48 | 10 | | 49 | 11 |
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| 40.35% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.2631578947368421 | | totalSentences | 114 | | uniqueOpeners | 30 | |
| 38.76% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 86 | | matches | | 0 | "Instead, he reached out." |
| | ratio | 0.012 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 49 | | totalSentences | 86 | | matches | | 0 | "She didn't turn around immediately." | | 1 | "She listened to the silence" | | 2 | "It was the silence of" | | 3 | "Her eyes drifted to the" | | 4 | "She walked to the door," | | 5 | "She checked the peephole, though" | | 6 | "She exhaled, a long, shaky" | | 7 | "She turned the knob and" | | 8 | "He looked like he belonged" | | 9 | "His voice was smooth, accented" | | 10 | "She didn't step back" | | 11 | "She didn't step forward." | | 12 | "She just held the door," | | 13 | "He tilted his head, the" | | 14 | "He took a step forward," | | 15 | "He stopped just outside the" | | 16 | "He was close enough that" | | 17 | "She glanced down, her fingers" | | 18 | "It was a ghost of" | | 19 | "She tried to inject some" |
| | ratio | 0.57 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 80 | | totalSentences | 86 | | matches | | 0 | "The knock came not as" | | 1 | "Rory froze, her hand hovering" | | 2 | "The steam hissed, a white" | | 3 | "She didn't turn around immediately." | | 4 | "She listened to the silence" | | 5 | "It was the silence of" | | 6 | "Her eyes drifted to the" | | 7 | "The cat paused, looking at" | | 8 | "Rory wiped her hands on" | | 9 | "She walked to the door," | | 10 | "She checked the peephole, though" | | 11 | "The distortion of the glass" | | 12 | "She exhaled, a long, shaky" | | 13 | "Rory slid the top one," | | 14 | "The sound of the tumblers" | | 15 | "She turned the knob and" | | 16 | "Lucien Moreau stood on the" | | 17 | "He looked like he belonged" | | 18 | "The hallway light flickered overhead," | | 19 | "His voice was smooth, accented" |
| | ratio | 0.93 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 86 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 49 | | technicalSentenceCount | 2 | | matches | | 0 | "Lucien's gaze followed her movement, dropping to her wrist before snapping back to her eyes." | | 1 | "She knew that if she turned around, he would be watching her wrist, watching her eyes, cataloging every change in her expression." |
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| 25.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 20 | | uselessAdditionCount | 4 | | matches | | 0 | "Rory shifted, the hem of her apron brushing against her thigh" | | 1 | "he agreed, his amber eye narrowing" | | 2 | "she said, her voice lower now" | | 3 | "she asked, not turning around" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 41 | | tagDensity | 0.244 | | leniency | 0.488 | | rawRatio | 0.1 | | effectiveRatio | 0.049 | |