| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 17 | | adverbTagCount | 1 | | adverbTags | | 0 | "she said quietly [quietly]" |
| | dialogueSentences | 58 | | tagDensity | 0.293 | | leniency | 0.586 | | rawRatio | 0.059 | | effectiveRatio | 0.034 | |
| 89.25% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1395 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "utterly" | | 1 | "slowly" | | 2 | "very" |
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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) | |
| 89.25% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1395 | | totalAiIsms | 3 | | found | | | highlights | | 0 | "flickered" | | 1 | "silence" | | 2 | "stomach" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "stomach dropped/sank" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 52 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 52 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 93 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 73 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 6 | | markdownWords | 8 | | totalWords | 1403 | | ratio | 0.006 | | matches | | 0 | "the weather's turned" | | 1 | "researching" | | 2 | "debt" | | 3 | "honest" | | 4 | "knew" | | 5 | "borrowed" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 22 | | unquotedAttributions | 0 | | matches | (empty) | |
| 92.75% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 17 | | wordCount | 786 | | uniqueNames | 5 | | maxNameDensity | 1.15 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 9 | | Moreau | 1 | | Eva | 3 | | Prague | 1 | | Lucien | 3 |
| | persons | | 0 | "Rory" | | 1 | "Moreau" | | 2 | "Eva" | | 3 | "Lucien" |
| | places | | | globalScore | 0.927 | | windowScore | 1 | |
| 78.57% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 35 | | glossingSentenceCount | 1 | | matches | | 0 | "quite right — the left one turned back, hastily, the way a man does when he's washed something off his skin in a hurry" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.713 | | wordCount | 1403 | | matches | | 0 | "not the polished blade in the cane but something rougher, something with rust on it" |
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| 94.98% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 93 | | matches | | 0 | "noticed that his" | | 1 | "chose that moment" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 61 | | mean | 23 | | std | 27.11 | | cv | 1.179 | | sampleLengths | | 0 | 28 | | 1 | 64 | | 2 | 4 | | 3 | 12 | | 4 | 1 | | 5 | 2 | | 6 | 11 | | 7 | 26 | | 8 | 53 | | 9 | 7 | | 10 | 89 | | 11 | 21 | | 12 | 42 | | 13 | 24 | | 14 | 4 | | 15 | 22 | | 16 | 3 | | 17 | 92 | | 18 | 4 | | 19 | 2 | | 20 | 15 | | 21 | 2 | | 22 | 31 | | 23 | 7 | | 24 | 11 | | 25 | 4 | | 26 | 29 | | 27 | 49 | | 28 | 9 | | 29 | 1 | | 30 | 7 | | 31 | 104 | | 32 | 11 | | 33 | 5 | | 34 | 4 | | 35 | 1 | | 36 | 5 | | 37 | 43 | | 38 | 38 | | 39 | 5 | | 40 | 4 | | 41 | 9 | | 42 | 103 | | 43 | 8 | | 44 | 2 | | 45 | 25 | | 46 | 52 | | 47 | 26 | | 48 | 17 | | 49 | 61 |
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| 98.52% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 52 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 136 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 93 | | ratio | 0.075 | | matches | | 0 | "Something flickered across his mouth — not a smile, the ghost that a smile leaves behind." | | 1 | "The black one, when he shifted, caught nothing at all — light went into it and simply declined to come back." | | 2 | "He set the bag on the one clear inch of the kitchen counter and looked around at the flat — the towers of books, the scrolls unrolled and weighted down with mugs, the string of index cards Eva had pinned along the wall like a washing line of madness." | | 3 | "It filled the room the way water fills a boot — slowly, and then all at once, and then it was in everything." | | 4 | "He stood on the other side of the counter with his hands flat on the laminate, and for the first time she noticed that his cuffs weren't quite right — the left one turned back, hastily, the way a man does when he's washed something off his skin in a hurry." | | 5 | "He almost never did — he liked the whole thing, liked the shape of the vowels, liked stretching it out like a man testing the give in a rope." | | 6 | "\"No.\" The word had an edge she hadn't heard from him before — not the polished blade in the cane but something rougher, something with rust on it." |
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| 89.07% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 781 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 41 | | adverbRatio | 0.052496798975672214 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.011523687580025609 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 93 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 93 | | mean | 15.09 | | std | 15.22 | | cv | 1.009 | | sampleLengths | | 0 | 28 | | 1 | 32 | | 2 | 32 | | 3 | 4 | | 4 | 8 | | 5 | 4 | | 6 | 1 | | 7 | 2 | | 8 | 11 | | 9 | 16 | | 10 | 10 | | 11 | 7 | | 12 | 34 | | 13 | 12 | | 14 | 7 | | 15 | 18 | | 16 | 71 | | 17 | 9 | | 18 | 12 | | 19 | 5 | | 20 | 21 | | 21 | 12 | | 22 | 4 | | 23 | 24 | | 24 | 4 | | 25 | 22 | | 26 | 3 | | 27 | 43 | | 28 | 49 | | 29 | 4 | | 30 | 2 | | 31 | 13 | | 32 | 2 | | 33 | 2 | | 34 | 30 | | 35 | 1 | | 36 | 7 | | 37 | 11 | | 38 | 4 | | 39 | 6 | | 40 | 23 | | 41 | 6 | | 42 | 20 | | 43 | 23 | | 44 | 9 | | 45 | 1 | | 46 | 7 | | 47 | 4 | | 48 | 51 | | 49 | 49 |
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| 44.09% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.3225806451612903 | | totalSentences | 93 | | uniqueOpeners | 30 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 44 | | matches | | 0 | "Somewhere below, the curry house" | | 1 | "Then the drag of a" |
| | ratio | 0.045 | |
| 29.09% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 21 | | totalSentences | 44 | | matches | | 0 | "He tipped his head" | | 1 | "She didn't move out of" | | 2 | "He said it the way" | | 3 | "She crossed her arms" | | 4 | "She'd once told him it" | | 5 | "He hadn't liked that." | | 6 | "It was a mistake and" | | 7 | "He set the bag on" | | 8 | "He leaned the cane against" | | 9 | "It filled the room the" | | 10 | "She gave him that one" | | 11 | "He didn't sit" | | 12 | "He stood on the other" | | 13 | "Her stomach dropped through the" | | 14 | "He'd used the short name." | | 15 | "He almost never did —" | | 16 | "He looked, briefly, at her" | | 17 | "Her voice came out flatter" | | 18 | "Her hands weren't quite steady" | | 19 | "she said quietly" |
| | ratio | 0.477 | |
| 5.45% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 40 | | totalSentences | 44 | | matches | | 0 | "The third deadbolt always stuck," | | 1 | "Lucien Moreau stood in the" | | 2 | "The stairwell light buzzed above" | | 3 | "He tipped his head" | | 4 | "Something flickered across his mouth" | | 5 | "She didn't move out of" | | 6 | "Ptolemy had already appeared at" | | 7 | "He said it the way" | | 8 | "She crossed her arms" | | 9 | "The amber eye didn't waver." | | 10 | "The black one, when he" | | 11 | "She'd once told him it" | | 12 | "He hadn't liked that." | | 13 | "Rory stepped back." | | 14 | "It was a mistake and" | | 15 | "He set the bag on" | | 16 | "He leaned the cane against" | | 17 | "The silence that followed had" | | 18 | "It filled the room the" | | 19 | "Rory busied her hands with" |
| | ratio | 0.909 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 44 | | matches | (empty) | | ratio | 0 | |
| 80.75% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 23 | | technicalSentenceCount | 2 | | matches | | 0 | "The stairwell light buzzed above him, catching the platinum of his hair, throwing one half of his face into shadow so that only the amber eye showed, warm and a…" | | 1 | "Then the drag of a chair on lino, careful, unhurried, a man who understood exactly how much he had just been given and had the sense not to name it out loud." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 17 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 58 | | tagDensity | 0.121 | | leniency | 0.241 | | rawRatio | 0.143 | | effectiveRatio | 0.034 | |