| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 1 | | adverbTags | | 0 | "she said again [again]" |
| | dialogueSentences | 43 | | tagDensity | 0.256 | | leniency | 0.512 | | rawRatio | 0.091 | | effectiveRatio | 0.047 | |
| 68.70% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1278 | | totalAiIsmAdverbs | 8 | | found | | | highlights | | 0 | "lightly" | | 1 | "very" | | 2 | "carefully" | | 3 | "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) | |
| 92.18% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1278 | | totalAiIsms | 2 | | found | | | highlights | | |
| 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 | 74 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 74 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 105 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 60 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1290 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 17 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 24 | | wordCount | 1008 | | uniqueNames | 11 | | maxNameDensity | 0.6 | | worstName | "Eva" | | maxWindowNameDensity | 2 | | worstWindowName | "Lucien" | | discoveredNames | | Rory | 2 | | Moreau | 1 | | Two | 2 | | Eva | 6 | | Ptolemy | 2 | | Lucien | 6 | | Blackfriars | 1 | | Assam | 1 | | Whitechapel | 1 | | Mayfair | 1 | | French | 1 |
| | persons | | 0 | "Rory" | | 1 | "Moreau" | | 2 | "Eva" | | 3 | "Ptolemy" | | 4 | "Lucien" |
| | places | | 0 | "Blackfriars" | | 1 | "Assam" | | 2 | "Whitechapel" | | 3 | "Mayfair" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 42 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.775 | | wordCount | 1290 | | matches | | 0 | "not a tall man but in this flat, with the ceiling low" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 105 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 56 | | mean | 23.04 | | std | 27.13 | | cv | 1.178 | | sampleLengths | | 0 | 29 | | 1 | 7 | | 2 | 82 | | 3 | 14 | | 4 | 41 | | 5 | 6 | | 6 | 10 | | 7 | 7 | | 8 | 13 | | 9 | 73 | | 10 | 7 | | 11 | 35 | | 12 | 6 | | 13 | 49 | | 14 | 18 | | 15 | 96 | | 16 | 3 | | 17 | 2 | | 18 | 1 | | 19 | 1 | | 20 | 99 | | 21 | 12 | | 22 | 1 | | 23 | 76 | | 24 | 6 | | 25 | 2 | | 26 | 7 | | 27 | 2 | | 28 | 10 | | 29 | 22 | | 30 | 10 | | 31 | 4 | | 32 | 3 | | 33 | 75 | | 34 | 5 | | 35 | 3 | | 36 | 3 | | 37 | 2 | | 38 | 59 | | 39 | 1 | | 40 | 47 | | 41 | 5 | | 42 | 53 | | 43 | 2 | | 44 | 4 | | 45 | 29 | | 46 | 1 | | 47 | 55 | | 48 | 28 | | 49 | 48 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 74 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 168 | | matches | | 0 | "was shouting" | | 1 | "was using" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 11 | | semicolonCount | 2 | | flaggedSentences | 8 | | totalSentences | 105 | | ratio | 0.076 | | matches | | 0 | "The amber eye caught the weak hallway light; the black one didn't." | | 1 | "Two syllables, arranged the way he arranged everything — with care." | | 2 | "The memory of the last time she had seen him — the Blackfriars bridge, the rain, the thing he had said that she could not unhear and could not stop turning over at three in the morning — rose up hot under her collarbone." | | 3 | "He always did that — took stock of a space the way some men took stock of a woman." | | 4 | "He set his cane against the wall beside the door, and that small gesture — setting aside the blade — did something inconvenient to her ribs." | | 5 | "Behind her, she heard Lucien lower himself onto the arm of the sofa — never the cushions; he always perched, as if committed to leaving — and she felt him watching her the way you feel a lamp warming the back of your neck." | | 6 | "She turned and carried the mug over and held it out to him, and when he took it, his gloved fingers brushed the inside of her wrist — across the little crescent scar there, which he had asked about once, in a hotel bar in Mayfair, a lifetime ago." | | 7 | "She looked at him — at the slicked hair and the ruined symmetry of his face and the gloved hands he was very carefully keeping on his own knees — and thought, with a clarity that frightened her, that she had forgiven him somewhere on the stairs, before she'd even opened the door, and that this was going to be a problem." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 934 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 36 | | adverbRatio | 0.03854389721627409 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.010706638115631691 | |
| 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 | 12.29 | | std | 12.36 | | cv | 1.006 | | sampleLengths | | 0 | 29 | | 1 | 7 | | 2 | 40 | | 3 | 13 | | 4 | 12 | | 5 | 17 | | 6 | 3 | | 7 | 11 | | 8 | 8 | | 9 | 21 | | 10 | 12 | | 11 | 6 | | 12 | 10 | | 13 | 7 | | 14 | 13 | | 15 | 31 | | 16 | 3 | | 17 | 9 | | 18 | 5 | | 19 | 25 | | 20 | 7 | | 21 | 25 | | 22 | 10 | | 23 | 6 | | 24 | 24 | | 25 | 25 | | 26 | 8 | | 27 | 10 | | 28 | 4 | | 29 | 6 | | 30 | 44 | | 31 | 8 | | 32 | 3 | | 33 | 4 | | 34 | 27 | | 35 | 3 | | 36 | 2 | | 37 | 1 | | 38 | 1 | | 39 | 14 | | 40 | 19 | | 41 | 35 | | 42 | 5 | | 43 | 26 | | 44 | 12 | | 45 | 1 | | 46 | 14 | | 47 | 1 | | 48 | 2 | | 49 | 10 |
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| 49.84% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 16 | | diversityRatio | 0.3904761904761905 | | totalSentences | 105 | | uniqueOpeners | 41 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 64 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 40 | | totalSentences | 64 | | matches | | 0 | "His platinum hair was combed" | | 1 | "She held the door half-closed" | | 2 | "She was barefoot, in leggings" | | 3 | "She had not, in the" | | 4 | "She wished she had a" | | 5 | "She wished Eva were home." | | 6 | "She wished, most of all," | | 7 | "His voice was very quiet" | | 8 | "He looked down at the" | | 9 | "It was only in that" | | 10 | "She considered the door." | | 11 | "She considered, quite seriously, shutting" | | 12 | "She wanted to be angrier" | | 13 | "She stepped back." | | 14 | "He came in carefully, as" | | 15 | "He always did that —" | | 16 | "He did not touch anything." | | 17 | "He set his cane against" | | 18 | "she heard herself say, and" | | 19 | "She went to the kitchenette" |
| | ratio | 0.625 | |
| 6.88% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 58 | | totalSentences | 64 | | matches | | 0 | "The third deadbolt gave with" | | 1 | "The words died somewhere behind" | | 2 | "Lucien Moreau stood on the" | | 3 | "His platinum hair was combed" | | 4 | "The amber eye caught the" | | 5 | "She held the door half-closed" | | 6 | "She was barefoot, in leggings" | | 7 | "She had not, in the" | | 8 | "Lucien said, without smiling" | | 9 | "Ptolemy slunk around the back" | | 10 | "Rory envied him." | | 11 | "She wished she had a" | | 12 | "She wished Eva were home." | | 13 | "She wished, most of all," | | 14 | "His voice was very quiet" | | 15 | "He looked down at the" | | 16 | "It was only in that" | | 17 | "She considered the door." | | 18 | "She considered, quite seriously, shutting" | | 19 | "The memory of the last" |
| | ratio | 0.906 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 64 | | matches | (empty) | | ratio | 0 | |
| 99.57% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 33 | | technicalSentenceCount | 2 | | matches | | 0 | "Behind her, she heard Lucien lower himself onto the arm of the sofa — never the cushions; he always perched, as if committed to leaving — and she felt him watch…" | | 1 | "She looked at him — at the slicked hair and the ruined symmetry of his face and the gloved hands he was very carefully keeping on his own knees — and thought, w…" |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 3 | | matches | | 0 | "Lucien said, without smiling," | | 1 | "she said, without turning" | | 2 | "she said again, quieter" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 43 | | tagDensity | 0.233 | | leniency | 0.465 | | rawRatio | 0.1 | | effectiveRatio | 0.047 | |