| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 1 | | adverbTags | | 0 | "he said slowly [slowly]" |
| | dialogueSentences | 35 | | tagDensity | 0.4 | | leniency | 0.8 | | rawRatio | 0.071 | | effectiveRatio | 0.057 | |
| 86.76% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1133 | | totalAiIsmAdverbs | 3 | | 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) | |
| 64.70% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1133 | | totalAiIsms | 8 | | found | | | highlights | | 0 | "stomach" | | 1 | "absolutely" | | 2 | "calculated" | | 3 | "weight" | | 4 | "warmth" | | 5 | "perfect" | | 6 | "silence" | | 7 | "pulse" |
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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 | 74 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 74 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 95 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 56 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1128 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 19 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 39 | | wordCount | 954 | | uniqueNames | 11 | | maxNameDensity | 1.05 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rory" | | discoveredNames | | Eva | 9 | | Ptolemy | 4 | | Moreau | 2 | | Whitechapel | 2 | | Edinburgh | 1 | | Thursday | 1 | | Rory | 10 | | Lucien | 7 | | Evan | 1 | | London | 1 | | Dense | 1 |
| | persons | | 0 | "Eva" | | 1 | "Ptolemy" | | 2 | "Moreau" | | 3 | "Rory" | | 4 | "Lucien" | | 5 | "Evan" |
| | places | | | globalScore | 0.976 | | windowScore | 0.833 | |
| 91.86% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 43 | | glossingSentenceCount | 1 | | matches | | 0 | "Lucien had apparently brought it with tak" |
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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 | 1128 | | matches | (empty) | |
| 96.49% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 95 | | matches | | 0 | "knew that posture" | | 1 | "warning that Lucien" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 61 | | mean | 18.49 | | std | 20.3 | | cv | 1.098 | | sampleLengths | | 0 | 15 | | 1 | 29 | | 2 | 42 | | 3 | 4 | | 4 | 80 | | 5 | 6 | | 6 | 2 | | 7 | 9 | | 8 | 4 | | 9 | 4 | | 10 | 18 | | 11 | 3 | | 12 | 69 | | 13 | 55 | | 14 | 9 | | 15 | 9 | | 16 | 5 | | 17 | 43 | | 18 | 4 | | 19 | 10 | | 20 | 4 | | 21 | 46 | | 22 | 6 | | 23 | 4 | | 24 | 5 | | 25 | 20 | | 26 | 35 | | 27 | 6 | | 28 | 2 | | 29 | 7 | | 30 | 2 | | 31 | 27 | | 32 | 49 | | 33 | 5 | | 34 | 11 | | 35 | 17 | | 36 | 1 | | 37 | 1 | | 38 | 42 | | 39 | 66 | | 40 | 6 | | 41 | 3 | | 42 | 59 | | 43 | 8 | | 44 | 54 | | 45 | 4 | | 46 | 3 | | 47 | 46 | | 48 | 9 | | 49 | 17 |
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| 81.56% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 74 | | matches | | 0 | "was slicked" | | 1 | "been stuck" | | 2 | "been taken" | | 3 | "been taken" | | 4 | "was drawn" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 164 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 95 | | ratio | 0 | | matches | (empty) | |
| 96.60% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 957 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 42 | | adverbRatio | 0.0438871473354232 | | lyAdverbCount | 15 | | lyAdverbRatio | 0.01567398119122257 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 95 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 95 | | mean | 11.87 | | std | 11.72 | | cv | 0.987 | | sampleLengths | | 0 | 15 | | 1 | 15 | | 2 | 4 | | 3 | 10 | | 4 | 27 | | 5 | 8 | | 6 | 7 | | 7 | 4 | | 8 | 43 | | 9 | 20 | | 10 | 10 | | 11 | 7 | | 12 | 6 | | 13 | 2 | | 14 | 6 | | 15 | 3 | | 16 | 4 | | 17 | 4 | | 18 | 18 | | 19 | 3 | | 20 | 49 | | 21 | 4 | | 22 | 16 | | 23 | 55 | | 24 | 9 | | 25 | 9 | | 26 | 5 | | 27 | 2 | | 28 | 21 | | 29 | 20 | | 30 | 4 | | 31 | 7 | | 32 | 3 | | 33 | 4 | | 34 | 3 | | 35 | 27 | | 36 | 16 | | 37 | 6 | | 38 | 4 | | 39 | 5 | | 40 | 15 | | 41 | 5 | | 42 | 5 | | 43 | 30 | | 44 | 6 | | 45 | 2 | | 46 | 7 | | 47 | 2 | | 48 | 13 | | 49 | 5 |
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| 59.30% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.4 | | totalSentences | 95 | | uniqueOpeners | 38 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 60 | | matches | (empty) | | ratio | 0 | |
| 46.67% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 26 | | totalSentences | 60 | | matches | | 0 | "He reserved it for pigeons" | | 1 | "She set down the scroll" | | 2 | "She opened the door." | | 3 | "His platinum hair was slicked" | | 4 | "He held up the paper" | | 5 | "She'd smelled it before." | | 6 | "He set the bag on" | | 7 | "He almost smiled." | | 8 | "He pulled out a chair," | | 9 | "He'd placed a small glass" | | 10 | "It caught the overhead light" | | 11 | "She knew what it was." | | 12 | "She'd spent six weeks trying" | | 13 | "She crossed the flat and" | | 14 | "His voice didn't change." | | 15 | "It never changed, that was" | | 16 | "She sat down across from" | | 17 | "He didn't pretend to misunderstand." | | 18 | "He picked up his cane," | | 19 | "Her own name in the" |
| | ratio | 0.433 | |
| 35.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 51 | | totalSentences | 60 | | matches | | 0 | "The knock came at half" | | 1 | "Ptolemy pressed his grey-striped face" | | 2 | "Rory knew that posture." | | 3 | "He reserved it for pigeons" | | 4 | "She set down the scroll" | | 5 | "The deadbolts were a ritual:" | | 6 | "Each one releasing with a" | | 7 | "She opened the door." | | 8 | "Lucien Moreau stood in the" | | 9 | "His platinum hair was slicked" | | 10 | "The other, black as ink," | | 11 | "He held up the paper" | | 12 | "Neither of them moved." | | 13 | "Ptolemy solved the standoff by" | | 14 | "Rory stepped aside." | | 15 | "Lucien ducked through the door" | | 16 | "She'd smelled it before." | | 17 | "He set the bag on" | | 18 | "The amber eye assessed her," | | 19 | "Rory stared at him." |
| | ratio | 0.85 | |
| 83.33% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 60 | | matches | | 0 | "Because the second sigil was" |
| | ratio | 0.017 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 31 | | technicalSentenceCount | 8 | | matches | | 0 | "Lucien Moreau stood in the narrow stairwell above the curry house, one hand resting on the ivory handle of his cane, the other holding a brown paper bag that sm…" | | 1 | "Lucien ducked through the door frame, cane tapping once on the worn threshold, and she caught it then, beneath the rain and the garlic and the faint sulfurous t…" | | 2 | "He set the bag on the kitchen table, which was Eva's kitchen table, covered in Eva's books and Eva's half-finished translations, because Eva was in Edinburgh un…" | | 3 | "The sigil that was, in Rory's estimation, the only remaining key to finding what had been taken from her." | | 4 | "A restless gesture she'd seen once before, the night she'd told him what Evan had done, and he'd listened without interrupting, and she'd watched that same cane…" | | 5 | "Her own name in the old tongue, the name she'd found written in her father's handwriting in a notebook she wasn't meant to see, the name that had brought her to…" | | 6 | "Rory's hand went to her left wrist before she could stop it, fingers pressing the small crescent scar that sat just below her pulse point." | | 7 | "And it had been there, in the photograph, her own wrist, her own scar, photographed through the glass of the delivery restaurant window not forty-eight hours ag…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 12 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 35 | | tagDensity | 0.343 | | leniency | 0.686 | | rawRatio | 0 | | effectiveRatio | 0 | |