| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 16 | | adverbTagCount | 1 | | adverbTags | | 0 | "His hand closed around [around]" |
| | dialogueSentences | 54 | | tagDensity | 0.296 | | leniency | 0.593 | | rawRatio | 0.063 | | effectiveRatio | 0.037 | |
| 96.02% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1256 | | totalAiIsmAdverbs | 1 | | found | | 0 | | adverb | "deliberately" | | count | 1 |
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| | 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) | |
| 76.11% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1256 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "velvet" | | 1 | "pulse" | | 2 | "silence" | | 3 | "traced" | | 4 | "stomach" | | 5 | "pulsed" |
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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 | 1 | | narrationSentences | 55 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 55 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 92 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 56 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1265 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 12 | | wordCount | 645 | | uniqueNames | 7 | | maxNameDensity | 0.62 | | worstName | "Ptolemy" | | maxWindowNameDensity | 1 | | worstWindowName | "Ptolemy" | | discoveredNames | | Ptolemy | 4 | | Moreau | 1 | | Three | 1 | | Eva | 1 | | Old | 1 | | Lucien | 3 | | Cardiff | 1 |
| | persons | | 0 | "Ptolemy" | | 1 | "Moreau" | | 2 | "Three" | | 3 | "Eva" | | 4 | "Lucien" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 37 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1265 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 92 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 50 | | mean | 25.3 | | std | 24.3 | | cv | 0.96 | | sampleLengths | | 0 | 24 | | 1 | 41 | | 2 | 5 | | 3 | 53 | | 4 | 10 | | 5 | 15 | | 6 | 56 | | 7 | 4 | | 8 | 1 | | 9 | 42 | | 10 | 60 | | 11 | 10 | | 12 | 52 | | 13 | 6 | | 14 | 6 | | 15 | 55 | | 16 | 9 | | 17 | 6 | | 18 | 6 | | 19 | 6 | | 20 | 58 | | 21 | 4 | | 22 | 54 | | 23 | 28 | | 24 | 7 | | 25 | 104 | | 26 | 20 | | 27 | 2 | | 28 | 3 | | 29 | 1 | | 30 | 48 | | 31 | 14 | | 32 | 5 | | 33 | 3 | | 34 | 14 | | 35 | 69 | | 36 | 53 | | 37 | 5 | | 38 | 35 | | 39 | 35 | | 40 | 5 | | 41 | 45 | | 42 | 69 | | 43 | 14 | | 44 | 2 | | 45 | 45 | | 46 | 33 | | 47 | 6 | | 48 | 3 | | 49 | 14 |
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| 92.50% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 55 | | matches | | 0 | "was burned" | | 1 | "was negotiated" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 114 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 1 | | flaggedSentences | 6 | | totalSentences | 92 | | ratio | 0.065 | | matches | | 0 | "The deadbolt was still turning when the smell hit her — rain, clove cigarettes, and something darker underneath, like smoke trapped in old velvet." | | 1 | "\"I have a father from a realm that deals in hunger, chérie. Finding people who don't want to be found is a family trade.\" He surveyed the flat — the towers of books, the scroll pinned open under a takeaway container, research notes crawling up the wall in Eva's ferocious handwriting." | | 2 | "\"I've profaned holier places.\" He shrugged out of his wet jacket, and she saw the scorch mark wasn't fabric-deep — the skin beneath was burned in a pattern, four parallel lines, like something had raked him." | | 3 | "\"There was a text message, Aurora. 'Gone, don't follow.' Two words and a comma. I've had longer goodbyes from taxi drivers.\" The amber eye found her; the black one followed, slower, like it always did when he was angry." | | 4 | "Crossed the flat the way he crossed everything — deliberately, like each step was negotiated." | | 5 | "\"A week. Maybe less. The firm's discreet but my people are better.\" His hand rose, hovered beside her face — asking." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 644 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 14 | | adverbRatio | 0.021739130434782608 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.003105590062111801 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 92 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 92 | | mean | 13.75 | | std | 12.49 | | cv | 0.908 | | sampleLengths | | 0 | 24 | | 1 | 8 | | 2 | 33 | | 3 | 5 | | 4 | 24 | | 5 | 16 | | 6 | 13 | | 7 | 4 | | 8 | 6 | | 9 | 11 | | 10 | 4 | | 11 | 18 | | 12 | 16 | | 13 | 22 | | 14 | 4 | | 15 | 1 | | 16 | 11 | | 17 | 16 | | 18 | 15 | | 19 | 51 | | 20 | 3 | | 21 | 6 | | 22 | 10 | | 23 | 36 | | 24 | 14 | | 25 | 2 | | 26 | 6 | | 27 | 6 | | 28 | 18 | | 29 | 2 | | 30 | 23 | | 31 | 12 | | 32 | 9 | | 33 | 6 | | 34 | 6 | | 35 | 6 | | 36 | 26 | | 37 | 3 | | 38 | 20 | | 39 | 9 | | 40 | 4 | | 41 | 39 | | 42 | 8 | | 43 | 4 | | 44 | 3 | | 45 | 10 | | 46 | 18 | | 47 | 7 | | 48 | 46 | | 49 | 58 |
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| 60.87% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.42391304347826086 | | totalSentences | 92 | | uniqueOpeners | 39 | |
| 66.67% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 50 | | matches | | 0 | "Just fact, offered up like" |
| | ratio | 0.02 | |
| 20.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 25 | | totalSentences | 50 | | matches | | 0 | "She knew it in the" | | 1 | "Her hand stayed on the" | | 2 | "He stepped forward without waiting" | | 3 | "She shut the door" | | 4 | "He surveyed the flat —" | | 5 | "His mouth twitched." | | 6 | "He shrugged out of his" | | 7 | "He caught her looking and" | | 8 | "She turned away, put the" | | 9 | "He settled onto the arm" | | 10 | "It still undid her." | | 11 | "Her hand went to her" | | 12 | "His grip tightened on the" | | 13 | "She poured water over the" | | 14 | "He went still." | | 15 | "She set his mug down" | | 16 | "His jaw worked." | | 17 | "She hated it and it" | | 18 | "He didn't touch her" | | 19 | "He just stood in her" |
| | ratio | 0.5 | |
| 30.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 43 | | totalSentences | 50 | | matches | | 0 | "The deadbolt was still turning" | | 1 | "Aurora knew it before the" | | 2 | "She knew it in the" | | 3 | "The third deadbolt slid home." | | 4 | "Lucien Moreau stood in the" | | 5 | "Her hand stayed on the" | | 6 | "He stepped forward without waiting" | | 7 | "Ptolemy launched off the sill" | | 8 | "She shut the door" | | 9 | "He surveyed the flat —" | | 10 | "His mouth twitched." | | 11 | "He shrugged out of his" | | 12 | "He caught her looking and" | | 13 | "The words came out sharper" | | 14 | "She turned away, put the" | | 15 | "He settled onto the arm" | | 16 | "The kettle ticked." | | 17 | "Ptolemy resettled on his lap" | | 18 | "The amber eye found her;" | | 19 | "The asymmetry of it used" |
| | ratio | 0.86 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 50 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 20 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 93.75% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 16 | | uselessAdditionCount | 1 | | matches | | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 54 | | tagDensity | 0.037 | | leniency | 0.074 | | rawRatio | 0 | | effectiveRatio | 0 | |