| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 48 | | tagDensity | 0.021 | | leniency | 0.042 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1357 | | 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) | |
| 52.10% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1357 | | totalAiIsms | 13 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | word | "down her spine" | | count | 1 |
| | 10 | | | 11 | |
| | highlights | | 0 | "pulse" | | 1 | "cascading" | | 2 | "tension" | | 3 | "stomach" | | 4 | "silence" | | 5 | "charm" | | 6 | "calculated" | | 7 | "warmth" | | 8 | "weight" | | 9 | "down her spine" | | 10 | "traced" | | 11 | "flickered" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "stomach dropped/sank" | | count | 1 |
| | 1 | | label | "hung in the air" | | count | 1 |
|
| | highlights | | 0 | "stomach dropped" | | 1 | "hung in the air" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 99 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 99 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 146 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 40 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 9 | | totalWords | 1368 | | ratio | 0.007 | | matches | | 0 | "not yet, not like this, mon cœur" | | 1 | "not yet" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 27 | | wordCount | 1057 | | uniqueNames | 8 | | maxNameDensity | 0.76 | | worstName | "Lucien" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Lucien" | | discoveredNames | | Lucien | 8 | | Ptolemy | 6 | | Eva | 1 | | Vassiliev | 1 | | Moreau | 1 | | Brick | 1 | | Lane | 1 | | Rory | 8 |
| | persons | | 0 | "Lucien" | | 1 | "Ptolemy" | | 2 | "Eva" | | 3 | "Moreau" | | 4 | "Rory" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 57 | | glossingSentenceCount | 1 | | matches | | 0 | "not quite softening, but loosening" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.731 | | wordCount | 1368 | | matches | | 0 | "not quite softening, but loosening" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 146 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 78 | | mean | 17.54 | | std | 21.14 | | cv | 1.205 | | sampleLengths | | 0 | 42 | | 1 | 72 | | 2 | 4 | | 3 | 9 | | 4 | 4 | | 5 | 2 | | 6 | 49 | | 7 | 8 | | 8 | 4 | | 9 | 2 | | 10 | 4 | | 11 | 25 | | 12 | 16 | | 13 | 53 | | 14 | 7 | | 15 | 4 | | 16 | 1 | | 17 | 62 | | 18 | 23 | | 19 | 2 | | 20 | 4 | | 21 | 1 | | 22 | 59 | | 23 | 5 | | 24 | 3 | | 25 | 6 | | 26 | 19 | | 27 | 17 | | 28 | 6 | | 29 | 85 | | 30 | 4 | | 31 | 4 | | 32 | 1 | | 33 | 4 | | 34 | 34 | | 35 | 4 | | 36 | 39 | | 37 | 8 | | 38 | 6 | | 39 | 10 | | 40 | 4 | | 41 | 3 | | 42 | 24 | | 43 | 80 | | 44 | 6 | | 45 | 1 | | 46 | 38 | | 47 | 6 | | 48 | 40 | | 49 | 17 |
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| 98.17% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 99 | | matches | | 0 | "been offered" | | 1 | "was snatched" | | 2 | "was terrified" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 173 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 11 | | semicolonCount | 0 | | flaggedSentences | 10 | | totalSentences | 146 | | ratio | 0.068 | | matches | | 0 | "Rory wrenched it sideways, pulled the door inward, and the night air from the stairwell poured in carrying the smell of curry and rain and something sharper underneath — cedar, smoke, expensive leather." | | 1 | "Lucien's gaze moved across it all, cataloguing, and something in his expression shifted — not quite softening, but loosening." | | 2 | "He turned to face her, and she caught it then — the tension in his shoulders, the way his grip on the cane had gone white-knuckled, the faint tremor in his left hand that he was fighting to still." | | 3 | "The one that had ended with Lucien's hand on her waist in a darkened corridor and his mouth near her ear and his voice low and certain saying *not yet, not like this, mon cœur* — and then nothing." | | 4 | "In the reflection, his heterochromatic eyes stared back at him — one burning gold, one bottomless dark." | | 5 | "Her hand found his arm — his jacket was damp, cold against her fingers — and she turned him." | | 6 | "A long, slow breath that carried something out of him — some pretense, some wall." | | 7 | "Lucien Moreau, the fixer, the broker, the man who traded in secrets and never gave one away for free — he stood in a cramped flat on Brick Lane and handed her the only thing he had left." | | 8 | "He made a sound against her mouth — not a groan, something rawer." | | 9 | "His black one reflected her back at her — rumpled, fierce, blue-eyed, refusing to let him go." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1051 | | adjectiveStacks | 1 | | stackExamples | | 0 | "damp, cold against her" |
| | adverbCount | 35 | | adverbRatio | 0.03330161750713606 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.0019029495718363464 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 146 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 146 | | mean | 9.36 | | std | 9.45 | | cv | 1.01 | | sampleLengths | | 0 | 9 | | 1 | 33 | | 2 | 5 | | 3 | 9 | | 4 | 19 | | 5 | 1 | | 6 | 2 | | 7 | 21 | | 8 | 10 | | 9 | 5 | | 10 | 4 | | 11 | 9 | | 12 | 4 | | 13 | 2 | | 14 | 6 | | 15 | 12 | | 16 | 31 | | 17 | 3 | | 18 | 5 | | 19 | 4 | | 20 | 2 | | 21 | 4 | | 22 | 3 | | 23 | 11 | | 24 | 11 | | 25 | 8 | | 26 | 8 | | 27 | 5 | | 28 | 27 | | 29 | 21 | | 30 | 3 | | 31 | 4 | | 32 | 4 | | 33 | 4 | | 34 | 7 | | 35 | 8 | | 36 | 11 | | 37 | 19 | | 38 | 13 | | 39 | 4 | | 40 | 19 | | 41 | 2 | | 42 | 4 | | 43 | 1 | | 44 | 8 | | 45 | 12 | | 46 | 39 | | 47 | 3 | | 48 | 2 | | 49 | 3 |
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| 47.95% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 15 | | diversityRatio | 0.3493150684931507 | | totalSentences | 146 | | uniqueOpeners | 51 | |
| 75.76% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 88 | | matches | | 0 | "Somewhere below, the kitchen of" | | 1 | "Even the cat seemed to" |
| | ratio | 0.023 | |
| 79.09% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 31 | | totalSentences | 88 | | matches | | 0 | "His platinum hair had come" | | 1 | "His amber eye caught the" | | 2 | "His black eye swallowed it." | | 3 | "He hadn't moved to step" | | 4 | "His hand rested on the" | | 5 | "She hated that it did." | | 6 | "His jaw tightened" | | 7 | "She should slam the door." | | 8 | "She should throw the deadbolts" | | 9 | "She should do anything except" | | 10 | "She stepped back." | | 11 | "Her voice came out harder" | | 12 | "His name landed between them" | | 13 | "He turned to face her," | | 14 | "He moved to the window." | | 15 | "He looked at her reflection" | | 16 | "Her hand found his arm" | | 17 | "He let her." | | 18 | "His amber eye met hers," | | 19 | "She could see it in" |
| | ratio | 0.352 | |
| 33.86% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 75 | | totalSentences | 88 | | matches | | 0 | "The third deadbolt stuck the" | | 1 | "Rory wrenched it sideways, pulled" | | 2 | "Lucien stood in the doorway." | | 3 | "Water beaded on the shoulders" | | 4 | "His platinum hair had come" | | 5 | "His amber eye caught the" | | 6 | "His black eye swallowed it." | | 7 | "He hadn't moved to step" | | 8 | "His hand rested on the" | | 9 | "Ptolemy wound between his ankles," | | 10 | "Rory's pulse hammered." | | 11 | "She hated that it did." | | 12 | "A long pause." | | 13 | "The rain picked up behind" | | 14 | "His jaw tightened" | | 15 | "She should slam the door." | | 16 | "She should throw the deadbolts" | | 17 | "She should do anything except" | | 18 | "She stepped back." | | 19 | "Lucien crossed the threshold." |
| | ratio | 0.852 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 88 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 38 | | technicalSentenceCount | 2 | | matches | | 0 | "Not the controlled, immaculate fixer who traded secrets in back rooms and spoke four languages like each one was a weapon." | | 1 | "His hands found her waist, pulled her flush against him, and he kissed her back with the desperation of a man who had been drowning and only just remembered how…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |