| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 50 | | tagDensity | 0.24 | | leniency | 0.48 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 90.44% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1046 | | 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) | |
| 85.66% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1046 | | totalAiIsms | 3 | | found | | | highlights | | 0 | "weight" | | 1 | "familiar" | | 2 | "treacherous" |
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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 | 59 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 59 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 96 | | 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 | 1055 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 23 | | wordCount | 805 | | uniqueNames | 12 | | maxNameDensity | 0.75 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 6 | | Moreau | 2 | | Eva | 3 | | Friday | 1 | | Started | 1 | | Brick | 1 | | Lane | 1 | | Tuesday | 1 | | Bloomsbury | 1 | | Aurora | 1 | | Carter | 1 | | Lucien | 4 |
| | persons | | 0 | "Rory" | | 1 | "Moreau" | | 2 | "Eva" | | 3 | "Aurora" | | 4 | "Carter" | | 5 | "Lucien" |
| | places | | 0 | "Brick" | | 1 | "Lane" | | 2 | "Bloomsbury" |
| | globalScore | 1 | | windowScore | 1 | |
| 11.11% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 36 | | glossingSentenceCount | 2 | | matches | | 0 | "not quite" | | 1 | "felt like an admission" |
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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 | 1055 | | matches | (empty) | |
| 97.22% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 96 | | matches | | 0 | "had that effect" | | 1 | "kissed that scar" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 61 | | mean | 17.3 | | std | 23.11 | | cv | 1.336 | | sampleLengths | | 0 | 27 | | 1 | 6 | | 2 | 103 | | 3 | 2 | | 4 | 6 | | 5 | 6 | | 6 | 10 | | 7 | 13 | | 8 | 52 | | 9 | 15 | | 10 | 1 | | 11 | 2 | | 12 | 70 | | 13 | 14 | | 14 | 12 | | 15 | 2 | | 16 | 4 | | 17 | 6 | | 18 | 71 | | 19 | 3 | | 20 | 5 | | 21 | 7 | | 22 | 9 | | 23 | 5 | | 24 | 15 | | 25 | 65 | | 26 | 7 | | 27 | 1 | | 28 | 6 | | 29 | 1 | | 30 | 13 | | 31 | 6 | | 32 | 5 | | 33 | 3 | | 34 | 34 | | 35 | 11 | | 36 | 4 | | 37 | 1 | | 38 | 3 | | 39 | 39 | | 40 | 40 | | 41 | 10 | | 42 | 14 | | 43 | 7 | | 44 | 82 | | 45 | 4 | | 46 | 6 | | 47 | 5 | | 48 | 29 | | 49 | 2 |
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| 93.37% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 59 | | matches | | 0 | "was reminded" | | 1 | "been cramped " |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 143 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 1 | | flaggedSentences | 7 | | totalSentences | 96 | | ratio | 0.073 | | matches | | 0 | "His mouth moved — not a smile, not quite." | | 1 | "He stepped inside, and the flat, which had always been cramped — stacks of Eva's tomes on the coffee table, scrolls rolled and unrolled on every inch of the kitchen counter, a half-drunk mug of tea on top of a pile of property law notes Rory had been pretending to read — got smaller." | | 2 | "The crescent scar on her left wrist caught the overhead light; she watched his eyes track it, the way they always did, and then lift, politely, back to her face." | | 3 | "Behind her she heard the quiet scrape of him moving — not following, just shifting his weight, taking in the room the way he took in everything, catalogued and filed." | | 4 | "The black one gave nothing back, as it never did, and she had stopped — months ago, she had stopped — trying to read him through it." | | 5 | "She reached for the mugs on instinct, because her hands needed something, and the crescent scar flashed again under the cuff of her jumper, and she thought — absurdly, fiercely — of the last time he had kissed that scar, on a Tuesday morning in a hotel in Bloomsbury, his mouth warm against the old white mark like it was something holy." | | 6 | "Hearing it in his mouth, in that accent, with that voice — it was unfair, and he knew it was unfair, and he used it anyway, because he was what he was." |
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| 98.82% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 798 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 33 | | adverbRatio | 0.041353383458646614 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.010025062656641603 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 96 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 96 | | mean | 10.99 | | std | 12.47 | | cv | 1.135 | | sampleLengths | | 0 | 27 | | 1 | 6 | | 2 | 51 | | 3 | 17 | | 4 | 35 | | 5 | 2 | | 6 | 5 | | 7 | 1 | | 8 | 6 | | 9 | 10 | | 10 | 9 | | 11 | 4 | | 12 | 7 | | 13 | 28 | | 14 | 17 | | 15 | 13 | | 16 | 2 | | 17 | 1 | | 18 | 2 | | 19 | 54 | | 20 | 4 | | 21 | 12 | | 22 | 7 | | 23 | 7 | | 24 | 12 | | 25 | 2 | | 26 | 4 | | 27 | 6 | | 28 | 4 | | 29 | 30 | | 30 | 8 | | 31 | 29 | | 32 | 3 | | 33 | 5 | | 34 | 7 | | 35 | 9 | | 36 | 5 | | 37 | 6 | | 38 | 9 | | 39 | 12 | | 40 | 23 | | 41 | 30 | | 42 | 7 | | 43 | 1 | | 44 | 6 | | 45 | 1 | | 46 | 3 | | 47 | 2 | | 48 | 8 | | 49 | 6 |
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| 58.33% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.40625 | | totalSentences | 96 | | uniqueOpeners | 39 | |
| 69.44% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 48 | | matches | | 0 | "Only Eva called her that." |
| | ratio | 0.021 | |
| 20.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 24 | | totalSentences | 48 | | matches | | 0 | "It was not the delivery" | | 1 | "He lifted his head, and" | | 2 | "She didn't open the chain." | | 3 | "His mouth moved — not" | | 4 | "She stared at him a" | | 5 | "He stepped inside, and the" | | 6 | "He didn't crowd a room" | | 7 | "He set his cane against" | | 8 | "He did not take off" | | 9 | "She folded her arms." | | 10 | "He inclined his head" | | 11 | "She put the kettle on" | | 12 | "she said to the kettle" | | 13 | "He was standing by the" | | 14 | "He did not look at" | | 15 | "He turned then." | | 16 | "She did not move." | | 17 | "She reached for the mugs" | | 18 | "She went very still." | | 19 | "He crossed the small room" |
| | ratio | 0.5 | |
| 12.08% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 43 | | totalSentences | 48 | | matches | | 0 | "The third deadbolt clicked back," | | 1 | "It was not the delivery" | | 2 | "Lucien Moreau stood on the" | | 3 | "Rain clung to his platinum" | | 4 | "He lifted his head, and" | | 5 | "She didn't open the chain." | | 6 | "His mouth moved — not" | | 7 | "She stared at him a" | | 8 | "Downstairs the curry house was" | | 9 | "Ptolemy, sensing a stranger, had" | | 10 | "Rory let the door fall" | | 11 | "He stepped inside, and the" | | 12 | "Lucien had that effect." | | 13 | "He didn't crowd a room" | | 14 | "He set his cane against" | | 15 | "He did not take off" | | 16 | "Rory said, because not saying" | | 17 | "She folded her arms." | | 18 | "The crescent scar on her" | | 19 | "The politeness was the part" |
| | ratio | 0.896 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 48 | | matches | (empty) | | ratio | 0 | |
| 45.45% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 22 | | technicalSentenceCount | 3 | | matches | | 0 | "Lucien Moreau stood on the narrow landing above the curry house, one gloved hand resting on the ivory handle of his cane, the other tucked into the pocket of a …" | | 1 | "Lucien Moreau, who could ruin a man with a phone call and had, on occasion, done considerably more than that, had never once looked at that scar without softeni…" | | 2 | "And Aurora Carter, who prided herself on thinking her way out of any room, stood in her best friend's kitchen with a half-demon's breath on her forehead and did…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 50 | | tagDensity | 0.16 | | leniency | 0.32 | | rawRatio | 0 | | effectiveRatio | 0 | |