| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 21 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 60 | | tagDensity | 0.35 | | leniency | 0.7 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 79.22% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1203 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "precisely" | | 1 | "carefully" | | 2 | "very" | | 3 | "softly" | | 4 | "really" |
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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) | |
| 54.28% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1203 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "traced" | | 1 | "silence" | | 2 | "could feel" | | 3 | "treacherous" | | 4 | "weight" | | 5 | "velvet" | | 6 | "perfect" | | 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 | 82 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 82 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 120 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 43 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1210 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 27 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 24 | | wordCount | 867 | | uniqueNames | 12 | | maxNameDensity | 0.81 | | worstName | "Lucien" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Lucien" | | discoveredNames | | Rory | 3 | | Lucien | 7 | | Moreau | 2 | | Ptolemy | 3 | | Savile | 1 | | Row | 1 | | Brick | 1 | | Lane | 1 | | Started | 1 | | Soho | 1 | | Eva | 2 | | Thursday | 1 |
| | persons | | 0 | "Rory" | | 1 | "Lucien" | | 2 | "Moreau" | | 3 | "Ptolemy" | | 4 | "Eva" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 98.98% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 49 | | glossingSentenceCount | 1 | | matches | | 0 | "felt like injury, to close the distance" |
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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 | 1210 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 120 | | matches | | 0 | "hated that she" | | 1 | "hated that she" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 63 | | mean | 19.21 | | std | 23.58 | | cv | 1.228 | | sampleLengths | | 0 | 42 | | 1 | 56 | | 2 | 2 | | 3 | 34 | | 4 | 8 | | 5 | 3 | | 6 | 7 | | 7 | 9 | | 8 | 42 | | 9 | 4 | | 10 | 4 | | 11 | 1 | | 12 | 2 | | 13 | 84 | | 14 | 13 | | 15 | 7 | | 16 | 15 | | 17 | 9 | | 18 | 7 | | 19 | 6 | | 20 | 6 | | 21 | 77 | | 22 | 7 | | 23 | 34 | | 24 | 1 | | 25 | 1 | | 26 | 44 | | 27 | 24 | | 28 | 9 | | 29 | 48 | | 30 | 3 | | 31 | 3 | | 32 | 60 | | 33 | 7 | | 34 | 1 | | 35 | 5 | | 36 | 1 | | 37 | 3 | | 38 | 3 | | 39 | 1 | | 40 | 19 | | 41 | 28 | | 42 | 6 | | 43 | 61 | | 44 | 13 | | 45 | 12 | | 46 | 112 | | 47 | 51 | | 48 | 8 | | 49 | 2 |
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| 96.71% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 82 | | matches | | 0 | "been poured" | | 1 | "were fixed" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 154 | | matches | | 0 | "was not, strictly speaking" | | 1 | "was not holding" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 2 | | flaggedSentences | 8 | | totalSentences | 120 | | ratio | 0.067 | | matches | | 0 | "His gaze moved — books, scrolls, the half-eaten toast on the desk, the little crescent scar on her wrist that she'd caught him staring at once over a glass of wine in a place she was trying hard not to remember." | | 1 | "A muscle in his jaw moved — something that might, in better light, have been a smile." | | 2 | "It was the kind of stillness a demon came by honestly — a settling of every small human tell into nothing." | | 3 | "The kitchen was two steps from the living room, which was two steps from the bedroom; there was nowhere in the flat that was not, strictly speaking, next to him." | | 4 | "Somewhere in the building a kettle whistled; somewhere on the street a man shouted about a taxi." | | 5 | "She heard him move, not closer, just — adjusting, as if the weight of it had shifted him." | | 6 | "She had been furious and also — this was the inconvenient part — she had wanted him to do it again." | | 7 | "His mouth curved — properly, this time." |
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| 90.47% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 863 | | adjectiveStacks | 1 | | stackExamples | | 0 | "narrow, piss-lit corridor" |
| | adverbCount | 38 | | adverbRatio | 0.0440324449594438 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.011587485515643106 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 120 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 120 | | mean | 10.08 | | std | 9.3 | | cv | 0.922 | | sampleLengths | | 0 | 29 | | 1 | 6 | | 2 | 7 | | 3 | 37 | | 4 | 7 | | 5 | 7 | | 6 | 5 | | 7 | 2 | | 8 | 11 | | 9 | 23 | | 10 | 8 | | 11 | 3 | | 12 | 7 | | 13 | 5 | | 14 | 4 | | 15 | 5 | | 16 | 27 | | 17 | 4 | | 18 | 6 | | 19 | 4 | | 20 | 4 | | 21 | 1 | | 22 | 2 | | 23 | 26 | | 24 | 17 | | 25 | 41 | | 26 | 13 | | 27 | 7 | | 28 | 8 | | 29 | 7 | | 30 | 9 | | 31 | 7 | | 32 | 6 | | 33 | 6 | | 34 | 17 | | 35 | 3 | | 36 | 9 | | 37 | 6 | | 38 | 12 | | 39 | 6 | | 40 | 24 | | 41 | 7 | | 42 | 15 | | 43 | 19 | | 44 | 1 | | 45 | 1 | | 46 | 3 | | 47 | 21 | | 48 | 11 | | 49 | 9 |
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| 60.28% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.4166666666666667 | | totalSentences | 120 | | uniqueOpeners | 50 | |
| 96.62% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 69 | | matches | | 0 | "Somewhere in the building a" | | 1 | "Really looked: the rain still" |
| | ratio | 0.029 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 42 | | totalSentences | 69 | | matches | | 0 | "She had been expecting lamb" | | 1 | "She had not been expecting" | | 2 | "He stood in the narrow," | | 3 | "She let the silence stretch" | | 4 | "she said at last" | | 5 | "She considered slamming the door." | | 6 | "It would feel wonderful for" | | 7 | "She'd done that before." | | 8 | "She had a doctorate in" | | 9 | "He stepped inside, and the" | | 10 | "He set his cane against" | | 11 | "His gaze moved — books," | | 12 | "she said, because it was" | | 13 | "She folded her arms" | | 14 | "He looked tired." | | 15 | "He did composed, he did" | | 16 | "She laughed, and didn't like" | | 17 | "He went still." | | 18 | "It was the kind of" | | 19 | "She hated that she could" |
| | ratio | 0.609 | |
| 10.72% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 62 | | totalSentences | 69 | | matches | | 0 | "The third deadbolt gave with" | | 1 | "She had been expecting lamb" | | 2 | "She had not been expecting" | | 3 | "He stood in the narrow," | | 4 | "Rain traced the line of" | | 5 | "The amber eye caught the" | | 6 | "The black one did not." | | 7 | "She let the silence stretch" | | 8 | "she said at last" | | 9 | "She considered slamming the door." | | 10 | "It would feel wonderful for" | | 11 | "She'd done that before." | | 12 | "She had a doctorate in" | | 13 | "Rory unhooked the chain." | | 14 | "He stepped inside, and the" | | 15 | "He set his cane against" | | 16 | "His gaze moved — books," | | 17 | "she said, because it was" | | 18 | "She folded her arms" | | 19 | "A muscle in his jaw" |
| | ratio | 0.899 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 69 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 26 | | technicalSentenceCount | 6 | | matches | | 0 | "He stood in the narrow, piss-lit corridor as though he'd been poured there: charcoal suit without a crease on it, ivory cane angled at his hip like punctuation,…" | | 1 | "Behind her, Ptolemy made an inquisitive noise from a tower of unshelved grimoires, as if even the cat could feel the air change." | | 2 | "He stepped inside, and the flat, already cramped, narrowed around him as though uncertain where to put a man who wore Savile Row into Brick Lane." | | 3 | "Really looked: the rain still glittering on his lapel, the faint tremor in the hand that was not holding the cane, the way his mismatched eyes were fixed on her…" | | 4 | "She stood in her best friend's kitchen with her hair half-braided and a smear of toast crumbs on her jumper and she wanted, with a specificity that felt like in…" | | 5 | "He lowered himself onto Eva's absurd velvet settee with a grace that shouldn't have been possible at his height." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 21 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 17 | | fancyCount | 3 | | fancyTags | | 0 | "She laughed (laugh)" | | 1 | "she repeated (repeat)" | | 2 | "Lucien murmured (murmur)" |
| | dialogueSentences | 60 | | tagDensity | 0.283 | | leniency | 0.567 | | rawRatio | 0.176 | | effectiveRatio | 0.1 | |