| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 1 | | adverbTags | | 0 | "she said finally [finally]" |
| | dialogueSentences | 52 | | tagDensity | 0.115 | | leniency | 0.231 | | rawRatio | 0.167 | | effectiveRatio | 0.038 | |
| 96.97% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1651 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 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) | |
| 81.83% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1651 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "weight" | | 1 | "flickered" | | 2 | "stomach" | | 3 | "silence" | | 4 | "structure" |
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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 | 96 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 96 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 141 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 53 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1655 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 98.26% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 35 | | wordCount | 1063 | | uniqueNames | 10 | | maxNameDensity | 1.03 | | worstName | "Lucien" | | maxWindowNameDensity | 2 | | worstWindowName | "Lucien" | | discoveredNames | | Rory | 9 | | Silas | 1 | | Eva | 5 | | Lucien | 11 | | Whitechapel | 1 | | Bermondsey | 1 | | Moreau | 1 | | Ptolemy | 4 | | Brick | 1 | | Lane | 1 |
| | persons | | 0 | "Rory" | | 1 | "Silas" | | 2 | "Eva" | | 3 | "Lucien" | | 4 | "Moreau" | | 5 | "Ptolemy" |
| | places | | 0 | "Whitechapel" | | 1 | "Bermondsey" | | 2 | "Brick" | | 3 | "Lane" |
| | globalScore | 0.983 | | windowScore | 1 | |
| 39.71% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 68 | | glossingSentenceCount | 3 | | matches | | 0 | "something between them — the counter, distance" | | 1 | "looked like a man who'd run out of langua" | | 2 | "smelled like cardamom and old paper and th" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1655 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 141 | | matches | | 0 | "hated that it" | | 1 | "open that door" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 76 | | mean | 21.78 | | std | 18.89 | | cv | 0.868 | | sampleLengths | | 0 | 25 | | 1 | 53 | | 2 | 31 | | 3 | 1 | | 4 | 23 | | 5 | 9 | | 6 | 2 | | 7 | 1 | | 8 | 51 | | 9 | 3 | | 10 | 8 | | 11 | 73 | | 12 | 4 | | 13 | 55 | | 14 | 24 | | 15 | 3 | | 16 | 9 | | 17 | 20 | | 18 | 21 | | 19 | 35 | | 20 | 4 | | 21 | 8 | | 22 | 48 | | 23 | 5 | | 24 | 15 | | 25 | 13 | | 26 | 22 | | 27 | 49 | | 28 | 21 | | 29 | 17 | | 30 | 46 | | 31 | 22 | | 32 | 4 | | 33 | 1 | | 34 | 8 | | 35 | 50 | | 36 | 11 | | 37 | 36 | | 38 | 37 | | 39 | 9 | | 40 | 27 | | 41 | 2 | | 42 | 15 | | 43 | 53 | | 44 | 27 | | 45 | 7 | | 46 | 42 | | 47 | 25 | | 48 | 44 | | 49 | 5 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 96 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 182 | | matches | | 0 | "was unarming" | | 1 | "was shaking" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 11 | | semicolonCount | 0 | | flaggedSentences | 10 | | totalSentences | 141 | | ratio | 0.071 | | matches | | 0 | "The other — the black one — absorbed it." | | 1 | "His cane caught the edge — not hard, just enough to hold it open by three inches." | | 2 | "Lucien stepped inside and his gaze moved across Eva's flat the way it always moved across rooms — cataloguing exits, surfaces, angles." | | 3 | "Not hurt — Lucien didn't do hurt where people could see it." | | 4 | "She crossed to the kitchen, not because she wanted tea but because she needed something between them — the counter, distance, the illusion of doing something ordinary." | | 5 | "She heard it — the subtle cessation of movement, the way the room thinned when Lucien went still." | | 6 | "The gesture was deliberate — she understood the language of it." | | 7 | "\"—was a failure of judgment on my part.\"" | | 8 | "She picked up two mugs from the drying rack — muscle memory, the hospitality her mother had drilled into her since childhood, making tea for people even when you wanted to throw the kettle at their head." | | 9 | "He said it the way he said everything — precise, structured, like a man building a sentence the way an architect builds a bridge." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 909 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 22 | | adverbRatio | 0.0242024202420242 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.0044004400440044 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 141 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 141 | | mean | 11.74 | | std | 10.55 | | cv | 0.899 | | sampleLengths | | 0 | 25 | | 1 | 5 | | 2 | 17 | | 3 | 15 | | 4 | 7 | | 5 | 9 | | 6 | 31 | | 7 | 1 | | 8 | 6 | | 9 | 17 | | 10 | 9 | | 11 | 2 | | 12 | 1 | | 13 | 13 | | 14 | 6 | | 15 | 32 | | 16 | 3 | | 17 | 8 | | 18 | 20 | | 19 | 12 | | 20 | 5 | | 21 | 12 | | 22 | 17 | | 23 | 7 | | 24 | 4 | | 25 | 22 | | 26 | 8 | | 27 | 8 | | 28 | 17 | | 29 | 4 | | 30 | 20 | | 31 | 3 | | 32 | 9 | | 33 | 5 | | 34 | 12 | | 35 | 3 | | 36 | 21 | | 37 | 6 | | 38 | 3 | | 39 | 26 | | 40 | 4 | | 41 | 8 | | 42 | 27 | | 43 | 4 | | 44 | 5 | | 45 | 12 | | 46 | 5 | | 47 | 15 | | 48 | 13 | | 49 | 4 |
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| 51.30% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.3546099290780142 | | totalSentences | 141 | | uniqueOpeners | 50 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 94 | | matches | | 0 | "More like recalibration." | | 1 | "Maybe she'd meant to keep" | | 2 | "Just a nod." |
| | ratio | 0.032 | |
| 54.04% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 39 | | totalSentences | 94 | | matches | | 0 | "His platinum hair, usually slicked" | | 1 | "He leaned on his ivory-handled" | | 2 | "His cane caught the edge" | | 3 | "Her full name in his" | | 4 | "She hated that it still" | | 5 | "She pressed her forehead against" | | 6 | "She could break his cane" | | 7 | "She could call Silas, who'd" | | 8 | "She could do a lot" | | 9 | "She opened the door." | | 10 | "He did not sit." | | 11 | "He stood in the narrow" | | 12 | "Her working alias." | | 13 | "She crossed to the kitchen," | | 14 | "She filled the kettle." | | 15 | "She heard it — the" | | 16 | "She hadn't meant to open" | | 17 | "He set his cane against" | | 18 | "He was unarming himself." | | 19 | "She turned from the counter" |
| | ratio | 0.415 | |
| 45.11% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 78 | | totalSentences | 94 | | matches | | 0 | "The door swung inward and" | | 1 | "Lucien stood on the landing." | | 2 | "His platinum hair, usually slicked" | | 3 | "The other — the black" | | 4 | "He leaned on his ivory-handled" | | 5 | "Rory moved to shut the" | | 6 | "His cane caught the edge" | | 7 | "Her full name in his" | | 8 | "She hated that it still" | | 9 | "She pressed her forehead against" | | 10 | "Ptolemy threaded between her ankles," | | 11 | "Rory nudged the cat back" | | 12 | "She could break his cane" | | 13 | "She could call Silas, who'd" | | 14 | "She could do a lot" | | 15 | "She opened the door." | | 16 | "Lucien stepped inside and his" | | 17 | "The stacks of books on" | | 18 | "The scrolls pinned to the" | | 19 | "He did not sit." |
| | ratio | 0.83 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 94 | | matches | (empty) | | ratio | 0 | |
| 83.33% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 36 | | technicalSentenceCount | 3 | | matches | | 0 | "No umbrella despite the rain that had turned his charcoal jacket two shades darker across the shoulders." | | 1 | "He leaned on his ivory-handled cane with both hands folded over the top, and the posture might have looked casual on anyone who hadn't been trained to make ever…" | | 2 | "She could call Silas, who'd be closing up the bar downstairs from her own flat across town." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 52 | | tagDensity | 0.038 | | leniency | 0.077 | | rawRatio | 0 | | effectiveRatio | 0 | |