| 64.86% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 27 | | adverbTagCount | 5 | | adverbTags | | 0 | "The name dropped like [like]" | | 1 | "she said finally [finally]" | | 2 | "he said eventually [eventually]" | | 3 | "His hand lifted almost [almost]" | | 4 | "he said quietly [quietly]" |
| | dialogueSentences | 74 | | tagDensity | 0.365 | | leniency | 0.73 | | rawRatio | 0.185 | | effectiveRatio | 0.135 | |
| 77.88% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1356 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "really" | | 1 | "suddenly" | | 2 | "very" | | 3 | "carefully" | | 4 | "slowly" |
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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) | |
| 55.75% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1356 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "gleaming" | | 1 | "intensity" | | 2 | "familiar" | | 3 | "tension" | | 4 | "navigate" | | 5 | "chill" | | 6 | "flickered" | | 7 | "silence" | | 8 | "could feel" | | 9 | "warmth" | | 10 | "pulse" |
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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 | 83 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 83 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 127 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 62 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1353 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 23 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 13 | | wordCount | 773 | | uniqueNames | 9 | | maxNameDensity | 0.39 | | worstName | "Eight" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Eight" | | discoveredNames | | Moreau | 1 | | Ptolemy | 1 | | Like | 2 | | London | 2 | | Brick | 1 | | Lane | 1 | | February | 1 | | Swallowed | 1 | | Eight | 3 |
| | persons | | | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 51 | | 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 | 1353 | | matches | (empty) | |
| 87.93% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 3 | | totalSentences | 127 | | matches | | 0 | "let that thing" | | 1 | "perfecting that mask" | | 2 | "remembered that night" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 68 | | mean | 19.9 | | std | 14.85 | | cv | 0.746 | | sampleLengths | | 0 | 28 | | 1 | 39 | | 2 | 4 | | 3 | 51 | | 4 | 41 | | 5 | 21 | | 6 | 17 | | 7 | 15 | | 8 | 30 | | 9 | 55 | | 10 | 11 | | 11 | 24 | | 12 | 25 | | 13 | 2 | | 14 | 31 | | 15 | 2 | | 16 | 7 | | 17 | 31 | | 18 | 30 | | 19 | 5 | | 20 | 31 | | 21 | 3 | | 22 | 14 | | 23 | 19 | | 24 | 14 | | 25 | 24 | | 26 | 33 | | 27 | 6 | | 28 | 39 | | 29 | 4 | | 30 | 22 | | 31 | 6 | | 32 | 33 | | 33 | 5 | | 34 | 23 | | 35 | 20 | | 36 | 3 | | 37 | 40 | | 38 | 19 | | 39 | 14 | | 40 | 2 | | 41 | 16 | | 42 | 31 | | 43 | 1 | | 44 | 1 | | 45 | 18 | | 46 | 35 | | 47 | 3 | | 48 | 37 | | 49 | 37 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 83 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 161 | | matches | | 0 | "was working" | | 1 | "was, turning" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 127 | | ratio | 0.008 | | matches | | 0 | "His face gave nothing away, but those eyes—one amber, one black—fixed on her with an intensity that made her chest tighten." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 776 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 31 | | adverbRatio | 0.03994845360824742 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.015463917525773196 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 127 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 127 | | mean | 10.65 | | std | 9.08 | | cv | 0.852 | | sampleLengths | | 0 | 7 | | 1 | 5 | | 2 | 16 | | 3 | 6 | | 4 | 2 | | 5 | 31 | | 6 | 4 | | 7 | 18 | | 8 | 12 | | 9 | 21 | | 10 | 2 | | 11 | 25 | | 12 | 14 | | 13 | 21 | | 14 | 14 | | 15 | 3 | | 16 | 8 | | 17 | 7 | | 18 | 13 | | 19 | 14 | | 20 | 3 | | 21 | 12 | | 22 | 26 | | 23 | 17 | | 24 | 3 | | 25 | 8 | | 26 | 22 | | 27 | 2 | | 28 | 16 | | 29 | 9 | | 30 | 2 | | 31 | 15 | | 32 | 14 | | 33 | 2 | | 34 | 2 | | 35 | 7 | | 36 | 23 | | 37 | 8 | | 38 | 2 | | 39 | 24 | | 40 | 4 | | 41 | 5 | | 42 | 8 | | 43 | 23 | | 44 | 3 | | 45 | 11 | | 46 | 3 | | 47 | 15 | | 48 | 4 | | 49 | 10 |
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| 47.24% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 15 | | diversityRatio | 0.3543307086614173 | | totalSentences | 127 | | uniqueOpeners | 45 | |
| 91.32% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 73 | | matches | | 0 | "Instead, she asked," | | 1 | "Then, slowly, he nodded." |
| | ratio | 0.027 | |
| 11.78% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 38 | | totalSentences | 73 | | matches | | 0 | "She opened the door." | | 1 | "His face gave nothing away," | | 2 | "His voice carried its familiar" | | 3 | "She leaned against the doorframe," | | 4 | "He repeated the nickname like" | | 5 | "He asked it politely, like" | | 6 | "She stepped aside." | | 7 | "He entered, and the room" | | 8 | "She watched him take in" | | 9 | "He didn't sit when she" | | 10 | "He moved to the window," | | 11 | "His reflection in the glass" | | 12 | "She wanted to snap at" | | 13 | "He paused, seemed to collect" | | 14 | "His jaw tightened" | | 15 | "She kept her face neutral." | | 16 | "She'd spent years perfecting that" | | 17 | "His voice hardened" | | 18 | "He stepped closer, close enough" | | 19 | "He said it quietly, like" |
| | ratio | 0.521 | |
| 49.04% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 60 | | totalSentences | 73 | | matches | | 0 | "The knock came at half" | | 1 | "Aurora let her fingers rest" | | 2 | "Eva knew, of course, but" | | 3 | "She opened the door." | | 4 | "Lucien Moreau stood in the" | | 5 | "The ivory handle of his" | | 6 | "His face gave nothing away," | | 7 | "His voice carried its familiar" | | 8 | "She leaned against the doorframe," | | 9 | "He repeated the nickname like" | | 10 | "Ptolemy wound between her ankles," | | 11 | "Aurora didn't move to let" | | 12 | "The seconds stretched." | | 13 | "He asked it politely, like" | | 14 | "She stepped aside." | | 15 | "He entered, and the room" | | 16 | "She watched him take in" | | 17 | "He didn't sit when she" | | 18 | "He moved to the window," | | 19 | "His reflection in the glass" |
| | ratio | 0.822 | |
| 68.49% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 73 | | matches | | | ratio | 0.014 | |
| 53.57% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 24 | | technicalSentenceCount | 3 | | matches | | 0 | "Eva knew, of course, but her flatmate was working the late shift at the hospital, and the others who might have guessed had no business showing up unannounced a…" | | 1 | "The lamplight caught the planes of his face, the aristocratic nose, the clever mouth that had once said things that made her blood sing." | | 2 | "The man who could find any secret, who knew London's supernatural underworld better than anyone, who could have anyone he wanted." |
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| 69.44% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 27 | | uselessAdditionCount | 3 | | matches | | 0 | "She watched, the stacks of books, the papers covering every surface" | | 1 | "He paused, seemed to collect himself" | | 2 | "he said eventually, his voice carefully controlled" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 3 | | fancyTags | | 0 | "He repeated (repeat)" | | 1 | "he interrupted (interrupt)" | | 2 | "she whispered (whisper)" |
| | dialogueSentences | 74 | | tagDensity | 0.149 | | leniency | 0.297 | | rawRatio | 0.273 | | effectiveRatio | 0.081 | |