| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 25 | | tagDensity | 0.24 | | leniency | 0.48 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 89.91% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1486 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "slightly" | | 1 | "perfectly" | | 2 | "slowly" |
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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) | |
| 52.89% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1486 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "standard" | | 1 | "etched" | | 2 | "weight" | | 3 | "footsteps" | | 4 | "flicked" | | 5 | "echoed" | | 6 | "electric" | | 7 | "echoing" | | 8 | "vibrated" | | 9 | "perfect" | | 10 | "tension" | | 11 | "shimmered" | | 12 | "race" | | 13 | "shattered" |
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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 | 1 | | narrationSentences | 115 | | matches | | |
| 80.75% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 4 | | narrationSentences | 115 | | filterMatches | | | hedgeMatches | | 0 | "seemed to" | | 1 | "tried to" | | 2 | "began to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 134 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 51 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 3 | | totalWords | 1486 | | ratio | 0.002 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 80.62% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 41 | | wordCount | 1081 | | uniqueNames | 6 | | maxNameDensity | 1.39 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Eva | 9 | | Reynolds | 10 | | Morris | 3 | | Mortar | 1 | | Quinn | 15 | | One | 3 |
| | persons | | 0 | "Eva" | | 1 | "Reynolds" | | 2 | "Morris" | | 3 | "Mortar" | | 4 | "Quinn" | | 5 | "One" |
| | places | (empty) | | globalScore | 0.806 | | windowScore | 0.833 | |
| 90.48% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 84 | | glossingSentenceCount | 2 | | matches | | 0 | "liquids that seemed to move on their own" | | 1 | "looked like blackened bone, had rolled to" |
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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 | 1486 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 134 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 53 | | mean | 28.04 | | std | 19.73 | | cv | 0.704 | | sampleLengths | | 0 | 52 | | 1 | 4 | | 2 | 28 | | 3 | 25 | | 4 | 86 | | 5 | 46 | | 6 | 6 | | 7 | 21 | | 8 | 15 | | 9 | 64 | | 10 | 51 | | 11 | 5 | | 12 | 18 | | 13 | 29 | | 14 | 39 | | 15 | 12 | | 16 | 51 | | 17 | 12 | | 18 | 36 | | 19 | 75 | | 20 | 56 | | 21 | 41 | | 22 | 13 | | 23 | 21 | | 24 | 9 | | 25 | 31 | | 26 | 36 | | 27 | 48 | | 28 | 34 | | 29 | 24 | | 30 | 11 | | 31 | 26 | | 32 | 4 | | 33 | 19 | | 34 | 68 | | 35 | 22 | | 36 | 7 | | 37 | 8 | | 38 | 35 | | 39 | 9 | | 40 | 12 | | 41 | 44 | | 42 | 35 | | 43 | 2 | | 44 | 19 | | 45 | 24 | | 46 | 51 | | 47 | 27 | | 48 | 11 | | 49 | 20 |
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| 99.16% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 115 | | matches | | 0 | "being asked" | | 1 | "been found" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 195 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 134 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1083 | | adjectiveStacks | 1 | | stackExamples | | 0 | "No more nervous tucking" |
| | adverbCount | 29 | | adverbRatio | 0.02677746999076639 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.0046168051708217915 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 134 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 134 | | mean | 11.09 | | std | 7.67 | | cv | 0.692 | | sampleLengths | | 0 | 9 | | 1 | 25 | | 2 | 18 | | 3 | 4 | | 4 | 12 | | 5 | 16 | | 6 | 25 | | 7 | 6 | | 8 | 18 | | 9 | 17 | | 10 | 12 | | 11 | 16 | | 12 | 17 | | 13 | 12 | | 14 | 5 | | 15 | 5 | | 16 | 6 | | 17 | 18 | | 18 | 6 | | 19 | 21 | | 20 | 9 | | 21 | 6 | | 22 | 7 | | 23 | 8 | | 24 | 31 | | 25 | 7 | | 26 | 5 | | 27 | 6 | | 28 | 9 | | 29 | 7 | | 30 | 7 | | 31 | 9 | | 32 | 19 | | 33 | 5 | | 34 | 18 | | 35 | 4 | | 36 | 10 | | 37 | 15 | | 38 | 12 | | 39 | 27 | | 40 | 12 | | 41 | 51 | | 42 | 12 | | 43 | 36 | | 44 | 3 | | 45 | 11 | | 46 | 13 | | 47 | 24 | | 48 | 13 | | 49 | 11 |
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| 61.44% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.39552238805970147 | | totalSentences | 134 | | uniqueOpeners | 53 | |
| 30.03% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 111 | | matches | | 0 | "Instead it tugged hard toward" |
| | ratio | 0.009 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 25 | | totalSentences | 111 | | matches | | 0 | "She knelt closer, her sharp" | | 1 | "His shadow stretched long under" | | 2 | "She swept her gaze across" | | 3 | "She picked up the small" | | 4 | "She turned the object in" | | 5 | "Its weight felt heavier than" | | 6 | "Her left hand rose, tucked" | | 7 | "she gestured toward the carved" | | 8 | "She stepped around the circle," | | 9 | "Its pull grew insistent, a" | | 10 | "She remembered Morris clutching something" | | 11 | "Her partner had sent her" | | 12 | "She spoke half to Reynolds," | | 13 | "She walked toward the maintenance" | | 14 | "Their torches carved narrow paths" | | 15 | "Her military training kept her" | | 16 | "She stopped at a section" | | 17 | "She adjusted her satchel strap" | | 18 | "She thought of Morris again," | | 19 | "It failed to mention the" |
| | ratio | 0.225 | |
| 23.06% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 97 | | totalSentences | 111 | | matches | | 0 | "Quinn's torch beam caught the" | | 1 | "She knelt closer, her sharp" | | 2 | "Those channels fed a circle" | | 3 | "Reynolds planted his feet wide" | | 4 | "His shadow stretched long under" | | 5 | "Quinn straightened to her full" | | 6 | "The worn leather watch on" | | 7 | "She swept her gaze across" | | 8 | "Glass vials glinted with liquids" | | 9 | "She picked up the small" | | 10 | "Verdigris patina coated its casing." | | 11 | "The needle refused to settle" | | 12 | "Reynolds leaned in for a" | | 13 | "Quinn's tone stayed level, military" | | 14 | "She turned the object in" | | 15 | "Its weight felt heavier than" | | 16 | "The same symbols on its" | | 17 | "Morris had died surrounded by" | | 18 | "The report called it gang-related." | | 19 | "Quinn had never believed the" |
| | ratio | 0.874 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 111 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 45 | | technicalSentenceCount | 2 | | matches | | 0 | "The woman clutched a worn leather satchel to her chest as if it might shield her from the lights." | | 1 | "Its pull grew insistent, a vibration that travelled up her arm." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 25 | | tagDensity | 0.04 | | leniency | 0.08 | | rawRatio | 1 | | effectiveRatio | 0.08 | |