| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 20 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 50 | | tagDensity | 0.4 | | leniency | 0.8 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 91.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1111 | | totalAiIsmAdverbs | 2 | | 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) | |
| 91.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1111 | | 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 | 57 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 57 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 87 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 59 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1117 | | 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 | 11 | | wordCount | 722 | | uniqueNames | 5 | | maxNameDensity | 0.55 | | worstName | "Eva" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Eva" | | discoveredNames | | Rory | 2 | | Eva | 4 | | Ptolemy | 2 | | Lucien | 2 | | Limehouse | 1 |
| | persons | | 0 | "Rory" | | 1 | "Eva" | | 2 | "Ptolemy" | | 3 | "Lucien" |
| | places | (empty) | | globalScore | 1 | | windowScore | 1 | |
| 14.86% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 37 | | glossingSentenceCount | 2 | | matches | | 0 | "not quite a smile" | | 1 | "as though stitching them together" |
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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 | 1117 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 87 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 50 | | mean | 22.34 | | std | 23.46 | | cv | 1.05 | | sampleLengths | | 0 | 51 | | 1 | 6 | | 2 | 30 | | 3 | 59 | | 4 | 31 | | 5 | 3 | | 6 | 5 | | 7 | 74 | | 8 | 3 | | 9 | 58 | | 10 | 9 | | 11 | 8 | | 12 | 3 | | 13 | 52 | | 14 | 5 | | 15 | 7 | | 16 | 10 | | 17 | 17 | | 18 | 3 | | 19 | 2 | | 20 | 2 | | 21 | 39 | | 22 | 5 | | 23 | 8 | | 24 | 58 | | 25 | 7 | | 26 | 1 | | 27 | 82 | | 28 | 31 | | 29 | 12 | | 30 | 14 | | 31 | 6 | | 32 | 5 | | 33 | 3 | | 34 | 80 | | 35 | 22 | | 36 | 26 | | 37 | 25 | | 38 | 65 | | 39 | 27 | | 40 | 5 | | 41 | 4 | | 42 | 7 | | 43 | 50 | | 44 | 5 | | 45 | 2 | | 46 | 4 | | 47 | 52 | | 48 | 24 | | 49 | 10 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 57 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 127 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 1 | | flaggedSentences | 7 | | totalSentences | 87 | | ratio | 0.08 | | matches | | 0 | "\"That presumes I know where I'm wanted. A rare commodity, that information.\" He tilted his head, and the landing light caught the strange split of his eyes — amber on the left, black as a drowned well on the right." | | 1 | "She thought about the last time she'd seen him — the warehouse off Limehouse, the blood on the floor that hadn't been hers, the way he'd turned and walked into the dark without a backward glance after she'd asked him, plainly, to stay." | | 2 | "He came in the way he did everything — without hurry, the ivory handle of his cane tapping once on the threshold." | | 3 | "\"You think I left because the job ended.\" He crossed the small distance between them, and the room had never felt smaller — every book seemed to lean in." | | 4 | "The amber eye held the lamplight; the black one held nothing at all, and she'd learned long ago that the black one was the honest one." | | 5 | "The corner of his mouth moved — not quite a smile." | | 6 | "She thought of every clever, cruel thing she'd rehearsed for this exact moment in the long dark hours when she couldn't sleep — the speeches, the slammed door, the dignity of indifference." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 717 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 27 | | adverbRatio | 0.03765690376569038 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.00697350069735007 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 87 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 87 | | mean | 12.84 | | std | 12.4 | | cv | 0.966 | | sampleLengths | | 0 | 51 | | 1 | 6 | | 2 | 23 | | 3 | 7 | | 4 | 40 | | 5 | 19 | | 6 | 18 | | 7 | 13 | | 8 | 3 | | 9 | 5 | | 10 | 9 | | 11 | 43 | | 12 | 4 | | 13 | 18 | | 14 | 3 | | 15 | 22 | | 16 | 27 | | 17 | 6 | | 18 | 3 | | 19 | 9 | | 20 | 8 | | 21 | 3 | | 22 | 18 | | 23 | 3 | | 24 | 31 | | 25 | 5 | | 26 | 7 | | 27 | 8 | | 28 | 2 | | 29 | 11 | | 30 | 6 | | 31 | 3 | | 32 | 2 | | 33 | 2 | | 34 | 31 | | 35 | 8 | | 36 | 5 | | 37 | 8 | | 38 | 17 | | 39 | 22 | | 40 | 19 | | 41 | 7 | | 42 | 1 | | 43 | 29 | | 44 | 53 | | 45 | 5 | | 46 | 26 | | 47 | 12 | | 48 | 11 | | 49 | 3 |
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| 50.96% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.367816091954023 | | totalSentences | 87 | | uniqueOpeners | 32 | |
| 70.92% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 47 | | matches | | 0 | "Instead she stood there with" |
| | ratio | 0.021 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 27 | | totalSentences | 47 | | matches | | 0 | "She held the door at" | | 1 | "He tilted his head, and" | | 2 | "She thought about the last" | | 3 | "She stepped aside." | | 4 | "He came in the way" | | 5 | "He looked too clean for" | | 6 | "He always had." | | 7 | "she said, only because her" | | 8 | "She poured two fingers of" | | 9 | "He didn't sit." | | 10 | "He stood in the middle" | | 11 | "He set the cane against" | | 12 | "She drank straight from the" | | 13 | "He picked up one of" | | 14 | "She put the bottle down" | | 15 | "he repeated, soft" | | 16 | "He crossed the small distance" | | 17 | "She looked up at him." | | 18 | "He reached out, slow enough" | | 19 | "She didn't pull her hand" |
| | ratio | 0.574 | |
| 23.83% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 41 | | totalSentences | 47 | | matches | | 0 | "The third deadbolt gave way" | | 1 | "She held the door at" | | 2 | "He tilted his head, and" | | 3 | "Ptolemy wound between her ankles," | | 4 | "Rory watched the cat betray" | | 5 | "The rain ticked against the" | | 6 | "She thought about the last" | | 7 | "She stepped aside." | | 8 | "He came in the way" | | 9 | "The flat closed around him," | | 10 | "He looked too clean for" | | 11 | "He always had." | | 12 | "she said, only because her" | | 13 | "She poured two fingers of" | | 14 | "He didn't sit." | | 15 | "He stood in the middle" | | 16 | "He set the cane against" | | 17 | "The honesty of it landed" | | 18 | "She drank straight from the" | | 19 | "He picked up one of" |
| | ratio | 0.872 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 47 | | matches | (empty) | | ratio | 0 | |
| 30.08% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 19 | | technicalSentenceCount | 3 | | matches | | 0 | "The third deadbolt gave way with a clunk that echoed down the stairwell, and Rory pulled the door open expecting Eva, expecting the curry house owner come to co…" | | 1 | "The flat closed around him, all of Eva's books and scrolls and the smell of old paper and the curry oil that seeped up through the floorboards." | | 2 | "Instead she stood there with his thumb against her pulse and the rain at the window and Ptolemy weaving figure-eights around both their legs as though stitching…" |
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| 50.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 20 | | uselessAdditionCount | 3 | | matches | | 0 | "he repeated, soft" | | 1 | "He crossed, and the room had never felt smaller — every book seemed to lean in" | | 2 | "His thumb moved, once" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 2 | | fancyTags | | 0 | "he repeated (repeat)" | | 1 | "he agreed (agree)" |
| | dialogueSentences | 50 | | tagDensity | 0.2 | | leniency | 0.4 | | rawRatio | 0.2 | | effectiveRatio | 0.08 | |