| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 23 | | adverbTagCount | 2 | | adverbTags | | 0 | "his mouth pulled upward [upward]" | | 1 | "She stepped back [back]" |
| | dialogueSentences | 42 | | tagDensity | 0.548 | | leniency | 1 | | rawRatio | 0.087 | | effectiveRatio | 0.087 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1507 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 66.82% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1507 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "weight" | | 1 | "silence" | | 2 | "unspoken" | | 3 | "crystal" | | 4 | "pulse" | | 5 | "traced" |
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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 | 84 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 84 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 96.88% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 105 | | gibberishSentences | 1 | | adjustedGibberishSentences | 1 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 1 | | maxSentenceWordsSeen | 65 | | ratio | 0.01 | | matches | | 0 | "\"After I left,\" he said, \"I went to Marseille. To my mother's house. She asked about you before she asked about my work. Before she asked about my father. She asked about the Welsh…" |
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| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1520 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 18 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 32 | | wordCount | 981 | | uniqueNames | 16 | | maxNameDensity | 0.82 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Moreau | 1 | | Manchester | 1 | | United | 1 | | Adjusted | 1 | | Rory | 8 | | Brick | 1 | | Lane | 1 | | Lucien | 8 | | Ella | 1 | | Swallowed | 1 | | French | 1 | | Controlled | 1 | | Quiet | 1 | | Savile | 1 | | Row | 1 | | Rain | 3 |
| | persons | | 0 | "Moreau" | | 1 | "Rory" | | 2 | "Lucien" | | 3 | "Ella" | | 4 | "Row" | | 5 | "Rain" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 65 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.658 | | wordCount | 1520 | | matches | | 0 | "not the sound of trust, but of someone who'd learned to lock rooms behind her" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 105 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 41 | | mean | 37.07 | | std | 23.09 | | cv | 0.623 | | sampleLengths | | 0 | 58 | | 1 | 65 | | 2 | 18 | | 3 | 5 | | 4 | 22 | | 5 | 64 | | 6 | 24 | | 7 | 2 | | 8 | 2 | | 9 | 42 | | 10 | 32 | | 11 | 45 | | 12 | 31 | | 13 | 15 | | 14 | 30 | | 15 | 22 | | 16 | 72 | | 17 | 48 | | 18 | 6 | | 19 | 55 | | 20 | 61 | | 21 | 21 | | 22 | 65 | | 23 | 30 | | 24 | 56 | | 25 | 67 | | 26 | 51 | | 27 | 6 | | 28 | 11 | | 29 | 53 | | 30 | 50 | | 31 | 12 | | 32 | 82 | | 33 | 27 | | 34 | 27 | | 35 | 56 | | 36 | 87 | | 37 | 29 | | 38 | 36 | | 39 | 3 | | 40 | 32 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 84 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 160 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 13 | | semicolonCount | 0 | | flaggedSentences | 10 | | totalSentences | 105 | | ratio | 0.095 | | matches | | 0 | "Those mismatched eyes — one amber, one black — moved over her face and then dropped to the oversized Manchester United shirt she'd slept in." | | 1 | "Lucien exhaled through his nose — the closest thing to a laugh he allowed in doorways." | | 2 | "Her eyes stayed on his, and the silence between them thickened the way it always had — with the shape of the last conversation neither of them had finished." | | 3 | "The door clicked shut behind him and she heard the deadbolts slide into place — not the sound of trust, but of someone who'd learned to lock rooms behind her." | | 4 | "But his gaze tracked the movement of her hands at the counter — the way she pinched tea leaves from a tin, the crease between her dark eyebrows that deepened when she concentrated." | | 5 | "He looked at the ceiling — the water-stained plaster, the exposed bulb — and then back at her." | | 6 | "He set the mug down and leaned forward, elbows on his knees, hands open in a gesture she'd never seen from him before — nothing concealed, no blade in the cane, no card up the sleeve." | | 7 | "His hand found the ivory handle of the cane and his fingers wrapped around it — a reflex, a comfort." | | 8 | "This close, the rain smell of his coat mingled with the clove tea and something beneath it — cedar, tobacco, the faint sulfur trace of the bloodline he hid beneath Savile Row tailoring." | | 9 | "Lucien captured her wrist — the one without the scar — and pressed his thumb into the pulse point there." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 520 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 11 | | adverbRatio | 0.021153846153846155 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 105 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 105 | | mean | 14.48 | | std | 10.7 | | cv | 0.739 | | sampleLengths | | 0 | 24 | | 1 | 26 | | 2 | 8 | | 3 | 21 | | 4 | 9 | | 5 | 10 | | 6 | 25 | | 7 | 4 | | 8 | 10 | | 9 | 4 | | 10 | 5 | | 11 | 13 | | 12 | 9 | | 13 | 15 | | 14 | 11 | | 15 | 21 | | 16 | 7 | | 17 | 10 | | 18 | 11 | | 19 | 13 | | 20 | 2 | | 21 | 2 | | 22 | 16 | | 23 | 15 | | 24 | 11 | | 25 | 10 | | 26 | 6 | | 27 | 16 | | 28 | 5 | | 29 | 29 | | 30 | 11 | | 31 | 7 | | 32 | 24 | | 33 | 7 | | 34 | 6 | | 35 | 2 | | 36 | 7 | | 37 | 7 | | 38 | 16 | | 39 | 22 | | 40 | 2 | | 41 | 30 | | 42 | 24 | | 43 | 16 | | 44 | 19 | | 45 | 8 | | 46 | 21 | | 47 | 6 | | 48 | 20 | | 49 | 35 |
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| 65.08% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.41904761904761906 | | totalSentences | 105 | | uniqueOpeners | 44 | |
| 93.90% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 71 | | matches | | 0 | "Somewhere downstairs, a glass broke" | | 1 | "Bright blue eyes held his" |
| | ratio | 0.028 | |
| 62.25% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 28 | | totalSentences | 71 | | matches | | 0 | "She counted to five before" | | 1 | "His platinum hair kept its" | | 2 | "He reached into his overcoat" | | 3 | "He held it out between" | | 4 | "He watched her face for" | | 5 | "She didn't give it to" | | 6 | "Her eyes stayed on his," | | 7 | "She stepped back from the" | | 8 | "He removed his overcoat and" | | 9 | "He set the cane against" | | 10 | "She filled the kettle and" | | 11 | "His voice dropped half a" | | 12 | "She mimicked his accent with" | | 13 | "He looked at the ceiling" | | 14 | "He picked at a thread" | | 15 | "She sat on the edge" | | 16 | "Her voice came out flat" | | 17 | "He picked up the tea" | | 18 | "He set the mug down" | | 19 | "His mismatched eyes dropped to" |
| | ratio | 0.394 | |
| 16.34% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 63 | | totalSentences | 71 | | matches | | 0 | "The knock came three times," | | 1 | "Rory stood on the other" | | 2 | "She counted to five before" | | 3 | "Lucien Moreau filled the narrow" | | 4 | "His platinum hair kept its" | | 5 | "The ivory cane rested against" | | 6 | "Those mismatched eyes — one" | | 7 | "A corner of his mouth" | | 8 | "Rory leaned against the doorframe" | | 9 | "The crescent scar on her" | | 10 | "Rain streaked the glass over" | | 11 | "A siren wound through the" | | 12 | "Lucien exhaled through his nose" | | 13 | "He reached into his overcoat" | | 14 | "He held it out between" | | 15 | "He watched her face for" | | 16 | "She didn't give it to" | | 17 | "Rory didn't take the paper." | | 18 | "Her eyes stayed on his," | | 19 | "Rain dripped from the hem" |
| | ratio | 0.887 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 71 | | matches | (empty) | | ratio | 0 | |
| 86.47% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 38 | | technicalSentenceCount | 3 | | matches | | 0 | "The door clicked shut behind him and she heard the deadbolts slide into place — not the sound of trust, but of someone who'd learned to lock rooms behind her." | | 1 | "But his gaze tracked the movement of her hands at the counter — the way she pinched tea leaves from a tin, the crease between her dark eyebrows that deepened wh…" | | 2 | "Her heartbeat hammered against his skin in a rhythm that betrayed the steel in her voice." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 23 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 42 | | tagDensity | 0.167 | | leniency | 0.333 | | rawRatio | 0 | | effectiveRatio | 0 | |