| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 23 | | adverbTagCount | 2 | | adverbTags | | 0 | "He gestured vaguely [vaguely]" | | 1 | "he said slowly [slowly]" |
| | dialogueSentences | 45 | | tagDensity | 0.511 | | leniency | 1 | | rawRatio | 0.087 | | effectiveRatio | 0.087 | |
| 92.21% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1284 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 100.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | | codexExemptions | | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 76.64% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1284 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "gloom" | | 1 | "silence" | | 2 | "weight" | | 3 | "constructed" |
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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 | 89 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 89 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 111 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 39 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1284 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 26 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 20 | | wordCount | 912 | | uniqueNames | 9 | | maxNameDensity | 0.77 | | worstName | "Dylan" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Dylan" | | discoveredNames | | Soho | 2 | | Raven | 1 | | Nest | 1 | | London | 1 | | Dylan | 7 | | Marsh | 1 | | Cardiff | 1 | | Silas | 4 | | Rory | 2 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Dylan" | | 3 | "Silas" | | 4 | "Rory" |
| | places | | 0 | "Soho" | | 1 | "London" | | 2 | "Marsh" | | 3 | "Cardiff" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 60 | | glossingSentenceCount | 1 | | matches | | 0 | "as if seeing it for the first time" |
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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 | 1284 | | matches | (empty) | |
| 76.58% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 3 | | totalSentences | 111 | | matches | | 0 | "noticed, that she'd" | | 1 | "pretending that everyone" | | 2 | "knew that feeling" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 53 | | mean | 24.23 | | std | 15.47 | | cv | 0.638 | | sampleLengths | | 0 | 45 | | 1 | 55 | | 2 | 64 | | 3 | 19 | | 4 | 17 | | 5 | 1 | | 6 | 19 | | 7 | 1 | | 8 | 60 | | 9 | 30 | | 10 | 38 | | 11 | 7 | | 12 | 33 | | 13 | 19 | | 14 | 37 | | 15 | 2 | | 16 | 39 | | 17 | 40 | | 18 | 27 | | 19 | 21 | | 20 | 21 | | 21 | 36 | | 22 | 7 | | 23 | 9 | | 24 | 43 | | 25 | 32 | | 26 | 14 | | 27 | 22 | | 28 | 2 | | 29 | 29 | | 30 | 37 | | 31 | 8 | | 32 | 28 | | 33 | 8 | | 34 | 31 | | 35 | 15 | | 36 | 17 | | 37 | 4 | | 38 | 29 | | 39 | 33 | | 40 | 13 | | 41 | 36 | | 42 | 24 | | 43 | 38 | | 44 | 10 | | 45 | 18 | | 46 | 13 | | 47 | 24 | | 48 | 8 | | 49 | 3 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 89 | | matches | | |
| 15.84% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 5 | | totalVerbs | 181 | | matches | | 0 | "was playing" | | 1 | "was wiping" | | 2 | "was already reconsidering" | | 3 | "was watching" | | 4 | "was building" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 111 | | ratio | 0 | | matches | (empty) | |
| 99.50% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 912 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 37 | | adverbRatio | 0.04057017543859649 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.008771929824561403 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 111 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 111 | | mean | 11.57 | | std | 7.9 | | cv | 0.683 | | sampleLengths | | 0 | 17 | | 1 | 28 | | 2 | 22 | | 3 | 33 | | 4 | 13 | | 5 | 28 | | 6 | 5 | | 7 | 18 | | 8 | 10 | | 9 | 9 | | 10 | 8 | | 11 | 9 | | 12 | 1 | | 13 | 12 | | 14 | 7 | | 15 | 1 | | 16 | 35 | | 17 | 9 | | 18 | 4 | | 19 | 12 | | 20 | 11 | | 21 | 13 | | 22 | 6 | | 23 | 22 | | 24 | 9 | | 25 | 7 | | 26 | 4 | | 27 | 3 | | 28 | 20 | | 29 | 13 | | 30 | 11 | | 31 | 8 | | 32 | 17 | | 33 | 20 | | 34 | 2 | | 35 | 39 | | 36 | 4 | | 37 | 17 | | 38 | 7 | | 39 | 12 | | 40 | 20 | | 41 | 7 | | 42 | 3 | | 43 | 9 | | 44 | 9 | | 45 | 6 | | 46 | 15 | | 47 | 4 | | 48 | 21 | | 49 | 11 |
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| 36.49% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 15 | | diversityRatio | 0.26126126126126126 | | totalSentences | 111 | | uniqueOpeners | 29 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 73 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 43 | | totalSentences | 73 | | matches | | 0 | "He shook the rain from" | | 1 | "She almost didn't recognise him." | | 2 | "He walked to the bar" | | 3 | "His voice had dropped half" | | 4 | "She poured it, set it" | | 5 | "He reached for the glass," | | 6 | "She kept her hand on" | | 7 | "He stared at her, and" | | 8 | "Her hair was shorter than" | | 9 | "Her face was thinner." | | 10 | "She'd stopped wearing the bright" | | 11 | "he said, and the word" | | 12 | "He stopped, shook his head" | | 13 | "She poured herself a measure" | | 14 | "He wrapped both hands around" | | 15 | "She let the silence stretch," | | 16 | "She'd been so certain of" | | 17 | "She'd known exactly who she" | | 18 | "she said, and the words" | | 19 | "He looked at his drink," |
| | ratio | 0.589 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 71 | | totalSentences | 73 | | matches | | 0 | "The rain had been threatening" | | 1 | "The Raven's Nest smelled of" | | 2 | "Rory was wiping down the" | | 3 | "Silas had gone to the" | | 4 | "The door opened and a" | | 5 | "He shook the rain from" | | 6 | "She almost didn't recognise him." | | 7 | "He walked to the bar" | | 8 | "His voice had dropped half" | | 9 | "She poured it, set it" | | 10 | "He reached for the glass," | | 11 | "The name hung between them" | | 12 | "She kept her hand on" | | 13 | "He stared at her, and" | | 14 | "Her hair was shorter than" | | 15 | "Her face was thinner." | | 16 | "She'd stopped wearing the bright" | | 17 | "he said, and the word" | | 18 | "He stopped, shook his head" | | 19 | "She poured herself a measure" |
| | ratio | 0.973 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 73 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 35 | | technicalSentenceCount | 2 | | matches | | 0 | "He shook the rain from his coat collar, glanced around the room with that particular look of someone who had wandered in by accident and was already reconsideri…" | | 1 | "He stared at her, and she watched him doing the arithmetic in his head, trying to reconcile the girl he'd known in lecture halls with the woman standing behind …" |
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| 59.78% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 23 | | uselessAdditionCount | 3 | | matches | | 0 | "he said, and the word came out soft, almost reverent" | | 1 | "she said, and the words came out flatter than she'd intended" | | 2 | "he said, quiet" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 19 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 45 | | tagDensity | 0.422 | | leniency | 0.844 | | rawRatio | 0 | | effectiveRatio | 0 | |