| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 1 | | adverbTags | | 0 | "the man said quietly [quietly]" |
| | dialogueSentences | 23 | | tagDensity | 0.391 | | leniency | 0.783 | | rawRatio | 0.111 | | effectiveRatio | 0.087 | |
| 92.33% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1303 | | 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) | |
| 92.33% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1303 | | totalAiIsms | 2 | | found | | | highlights | | |
| 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 | 102 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 102 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 115 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 33 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1303 | | 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 | 25 | | wordCount | 1143 | | uniqueNames | 13 | | maxNameDensity | 0.79 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Morris" | | discoveredNames | | Quinn | 9 | | Inverness | 1 | | Street | 1 | | Raven | 1 | | Nest | 1 | | Northern | 1 | | Morris | 5 | | Static | 1 | | English | 1 | | Saint | 1 | | Christopher | 1 | | Spain | 1 | | London | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Nest" | | 2 | "Morris" | | 3 | "Saint" | | 4 | "Christopher" |
| | places | | 0 | "Inverness" | | 1 | "Street" | | 2 | "Raven" | | 3 | "Spain" | | 4 | "London" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 64 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1303 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 115 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 48 | | mean | 27.15 | | std | 22.93 | | cv | 0.845 | | sampleLengths | | 0 | 16 | | 1 | 43 | | 2 | 31 | | 3 | 57 | | 4 | 45 | | 5 | 16 | | 6 | 3 | | 7 | 12 | | 8 | 30 | | 9 | 12 | | 10 | 34 | | 11 | 7 | | 12 | 3 | | 13 | 18 | | 14 | 71 | | 15 | 3 | | 16 | 20 | | 17 | 53 | | 18 | 67 | | 19 | 4 | | 20 | 62 | | 21 | 47 | | 22 | 7 | | 23 | 26 | | 24 | 20 | | 25 | 9 | | 26 | 13 | | 27 | 100 | | 28 | 11 | | 29 | 60 | | 30 | 68 | | 31 | 15 | | 32 | 11 | | 33 | 1 | | 34 | 50 | | 35 | 7 | | 36 | 27 | | 37 | 6 | | 38 | 54 | | 39 | 2 | | 40 | 20 | | 41 | 41 | | 42 | 21 | | 43 | 20 | | 44 | 4 | | 45 | 23 | | 46 | 8 | | 47 | 25 |
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| 88.06% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 102 | | matches | | 0 | "been worn" | | 1 | "was nailed" | | 2 | "been floored" | | 3 | "been chiselled" | | 4 | "been closed" |
| |
| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 7 | | totalVerbs | 199 | | matches | | 0 | "wasn't losing" | | 1 | "was almost pitying" | | 2 | "was already moving" | | 3 | "was looking" | | 4 | "was frying" | | 5 | "was handing" | | 6 | "was already reaching" |
| |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 115 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1146 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 40 | | adverbRatio | 0.034904013961605584 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.010471204188481676 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 115 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 115 | | mean | 11.33 | | std | 8.38 | | cv | 0.74 | | sampleLengths | | 0 | 16 | | 1 | 4 | | 2 | 27 | | 3 | 12 | | 4 | 3 | | 5 | 7 | | 6 | 21 | | 7 | 16 | | 8 | 11 | | 9 | 23 | | 10 | 7 | | 11 | 24 | | 12 | 2 | | 13 | 6 | | 14 | 13 | | 15 | 5 | | 16 | 4 | | 17 | 4 | | 18 | 3 | | 19 | 3 | | 20 | 12 | | 21 | 17 | | 22 | 5 | | 23 | 8 | | 24 | 6 | | 25 | 6 | | 26 | 2 | | 27 | 16 | | 28 | 16 | | 29 | 7 | | 30 | 3 | | 31 | 13 | | 32 | 5 | | 33 | 21 | | 34 | 10 | | 35 | 4 | | 36 | 33 | | 37 | 1 | | 38 | 2 | | 39 | 3 | | 40 | 20 | | 41 | 4 | | 42 | 21 | | 43 | 28 | | 44 | 3 | | 45 | 9 | | 46 | 21 | | 47 | 3 | | 48 | 2 | | 49 | 3 |
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| 83.77% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.5652173913043478 | | totalSentences | 115 | | uniqueOpeners | 65 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 87 | | matches | | 0 | "Then he'd looked at her." | | 1 | "Then a voice, flat, syllables" | | 2 | "Then he glanced back, straight" | | 3 | "Just stopped, mid-step, the way" |
| | ratio | 0.046 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 26 | | totalSentences | 87 | | matches | | 0 | "She'd walked that stretch a" | | 1 | "She didn't shout." | | 2 | "Her boots found grip where" | | 3 | "She'd spotted him outside the" | | 4 | "He hit the hoarding at" | | 5 | "She kept her hands loose" | | 6 | "His eyes went over her" | | 7 | "He shook his head, and" | | 8 | "He turned to the hoarding," | | 9 | "He went through." | | 10 | "She knew this street." | | 11 | "She knew there was nothing" | | 12 | "She'd read the survey documents" | | 13 | "She was already moving." | | 14 | "Her hand found a brass" | | 15 | "Her radio hissed." | | 16 | "She pressed the button." | | 17 | "She turned the radio off" | | 18 | "She saw her suspect." | | 19 | "She started after him, and" |
| | ratio | 0.299 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 59 | | totalSentences | 87 | | matches | | 0 | "The suspect went left at" | | 1 | "She'd walked that stretch a" | | 2 | "She didn't shout." | | 3 | "Shouting wasted breath and gave" | | 4 | "Rain came down in sheets," | | 5 | "Her boots found grip where" | | 6 | "Whatever he had, he wasn't" | | 7 | "She'd spotted him outside the" | | 8 | "People who wait in the" | | 9 | "That bothered her more than" | | 10 | "He hit the hoarding at" | | 11 | "She kept her hands loose" | | 12 | "His eyes went over her" | | 13 | "He shook his head, and" | | 14 | "He turned to the hoarding," | | 15 | "The board swung out like" | | 16 | "He went through." | | 17 | "Quinn stood in the rain" | | 18 | "She knew this street." | | 19 | "She knew there was nothing" |
| | ratio | 0.678 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 87 | | matches | (empty) | | ratio | 0 | |
| 38.69% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 48 | | technicalSentenceCount | 7 | | matches | | 0 | "She'd spotted him outside the Raven's Nest, standing under that sickly green neon with his hood up, watching the door and not going in." | | 1 | "He hit the hoarding at speed and Quinn slowed, catching her breath, letting the gap close naturally." | | 2 | "Young, maybe twenty-five, water running off a face that hadn't seen a decent meal in weeks." | | 3 | "The stairs were narrower than they looked, tiled in cream and oxblood, the tiles cracked in patterns that felt too regular to be accidental." | | 4 | "Then a voice, flat, syllables in the wrong order, saying something that wasn't English and wasn't quite noise either." | | 5 | "The tiled walls still carried their original signage, WAY OUT and NO SMOKING and a station name that had been chiselled out so thoroughly it left a scar." | | 6 | "A little silver medallion at his throat, Saint Christopher, and a long thin scar down his left forearm that had been closed by somebody in a hurry." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 23 | | tagDensity | 0.217 | | leniency | 0.435 | | rawRatio | 0 | | effectiveRatio | 0 | |