| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 19 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 149 | | tagDensity | 0.128 | | leniency | 0.255 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2906 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 80.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 91.40% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2906 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "pulse" | | 1 | "quivered" | | 2 | "measured" | | 3 | "trembled" | | 4 | "traced" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "let out a breath" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 248 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 248 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 377 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 2906 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 33 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 115 | | wordCount | 2003 | | uniqueNames | 8 | | maxNameDensity | 2.35 | | worstName | "Quinn" | | maxWindowNameDensity | 6.5 | | worstWindowName | "Eva" | | discoveredNames | | Patel | 34 | | Quinn | 47 | | Tube | 1 | | Camden | 1 | | Kowalski | 1 | | Eva | 23 | | Owen | 1 | | Bell | 7 |
| | persons | | 0 | "Patel" | | 1 | "Quinn" | | 2 | "Kowalski" | | 3 | "Eva" | | 4 | "Owen" | | 5 | "Bell" |
| | places | (empty) | | globalScore | 0.327 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 157 | | 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 | 2906 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 377 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 239 | | mean | 12.16 | | std | 11.2 | | cv | 0.921 | | sampleLengths | | 0 | 11 | | 1 | 21 | | 2 | 8 | | 3 | 48 | | 4 | 9 | | 5 | 6 | | 6 | 7 | | 7 | 39 | | 8 | 4 | | 9 | 6 | | 10 | 3 | | 11 | 8 | | 12 | 43 | | 13 | 4 | | 14 | 14 | | 15 | 1 | | 16 | 21 | | 17 | 36 | | 18 | 3 | | 19 | 4 | | 20 | 7 | | 21 | 24 | | 22 | 3 | | 23 | 3 | | 24 | 40 | | 25 | 38 | | 26 | 5 | | 27 | 4 | | 28 | 22 | | 29 | 12 | | 30 | 4 | | 31 | 40 | | 32 | 11 | | 33 | 38 | | 34 | 5 | | 35 | 37 | | 36 | 8 | | 37 | 6 | | 38 | 4 | | 39 | 17 | | 40 | 4 | | 41 | 13 | | 42 | 25 | | 43 | 7 | | 44 | 4 | | 45 | 50 | | 46 | 12 | | 47 | 8 | | 48 | 11 | | 49 | 30 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 248 | | matches | | 0 | "been drawn" | | 1 | "been cleared" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 332 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 1 | | flaggedSentences | 1 | | totalSentences | 377 | | ratio | 0.003 | | matches | | 0 | "One end disappeared into the booth; the other trailed onto the platform." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 2005 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 32 | | adverbRatio | 0.01596009975062344 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.0014962593516209476 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 377 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 377 | | mean | 7.71 | | std | 4.93 | | cv | 0.64 | | sampleLengths | | 0 | 11 | | 1 | 7 | | 2 | 14 | | 3 | 4 | | 4 | 4 | | 5 | 14 | | 6 | 14 | | 7 | 5 | | 8 | 15 | | 9 | 9 | | 10 | 6 | | 11 | 7 | | 12 | 8 | | 13 | 10 | | 14 | 21 | | 15 | 4 | | 16 | 6 | | 17 | 3 | | 18 | 8 | | 19 | 5 | | 20 | 19 | | 21 | 7 | | 22 | 12 | | 23 | 4 | | 24 | 14 | | 25 | 1 | | 26 | 21 | | 27 | 12 | | 28 | 8 | | 29 | 16 | | 30 | 3 | | 31 | 4 | | 32 | 7 | | 33 | 24 | | 34 | 3 | | 35 | 3 | | 36 | 2 | | 37 | 10 | | 38 | 14 | | 39 | 5 | | 40 | 9 | | 41 | 8 | | 42 | 17 | | 43 | 13 | | 44 | 5 | | 45 | 4 | | 46 | 5 | | 47 | 17 | | 48 | 12 | | 49 | 4 |
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| 48.14% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.259946949602122 | | totalSentences | 377 | | uniqueOpeners | 98 | |
| 14.81% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 225 | | matches | | 0 | "Apart from a few drops" |
| | ratio | 0.004 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 35 | | totalSentences | 225 | | matches | | 0 | "His fingers closed around the" | | 1 | "His throat had been cut." | | 2 | "Her knees clicked, a sound" | | 3 | "Its needle pointed towards the" | | 4 | "She put on gloves, reached" | | 5 | "His trousers, by contrast, had" | | 6 | "He threaded it through the" | | 7 | "It took him several attempts." | | 8 | "It had hardened and cracked" | | 9 | "He went to fetch the" | | 10 | "Its fingertips were stained blue." | | 11 | "She had curly red hair," | | 12 | "She stopped when she saw" | | 13 | "Its needle trembled towards the" | | 14 | "He caught the last sentence." | | 15 | "He took the photographer down" | | 16 | "It was a token, no" | | 17 | "It felt warm through her" | | 18 | "She turned it over, searching" | | 19 | "Her glasses reflected the photographer’s" |
| | ratio | 0.156 | |
| 20.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 198 | | totalSentences | 225 | | matches | | 0 | "Quinn caught the body before" | | 1 | "The dead man’s hand struck" | | 2 | "His fingers closed around the" | | 3 | "Quinn held the body upright" | | 4 | "The man sat in a" | | 5 | "His throat had been cut." | | 6 | "Blood had soaked his collar" | | 7 | "A long smear marked the" | | 8 | "Quinn looked through the hatch" | | 9 | "The booth stood on an" | | 10 | "A row of iron gates" | | 11 | "Quinn crouched at the hatch." | | 12 | "The brass tray had a" | | 13 | "A thin black cord lay" | | 14 | "Patel saw her looking." | | 15 | "Quinn followed the cord back" | | 16 | "Someone had wound it twice" | | 17 | "The nail sat beside a" | | 18 | "Her knees clicked, a sound" | | 19 | "Its needle pointed towards the" |
| | ratio | 0.88 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 225 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 81 | | technicalSentenceCount | 2 | | matches | | 0 | "A pale line marked the leather above each sole, as if the shoes had stood in shallow water and dried." | | 1 | "The brick gave a dull, thick note, as though something soft lay behind it." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 19 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 19 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 149 | | tagDensity | 0.128 | | leniency | 0.255 | | rawRatio | 0.053 | | effectiveRatio | 0.013 | |