| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 23 | | tagDensity | 0.261 | | leniency | 0.522 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.05% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1266 | | totalAiIsmAdverbs | 1 | | 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) | |
| 52.61% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1266 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "etched" | | 1 | "familiar" | | 2 | "weight" | | 3 | "silence" | | 4 | "perfect" | | 5 | "dancing" | | 6 | "vibrated" | | 7 | "traced" | | 8 | "shattered" | | 9 | "flickered" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 82 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 82 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 99 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 46 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1266 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 88.48% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 23 | | wordCount | 894 | | uniqueNames | 6 | | maxNameDensity | 1.23 | | worstName | "Ellis" | | maxWindowNameDensity | 2 | | worstWindowName | "Ellis" | | discoveredNames | | Ellis | 11 | | Eva | 1 | | Kowalski | 1 | | British | 1 | | Museum | 1 | | Quinn | 8 |
| | persons | | 0 | "Ellis" | | 1 | "Eva" | | 2 | "Kowalski" | | 3 | "Museum" | | 4 | "Quinn" |
| | places | | | globalScore | 0.885 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 66 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.79 | | wordCount | 1266 | | matches | | 0 | "no longer pointing at the rails but" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 99 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 44 | | mean | 28.77 | | std | 19.69 | | cv | 0.684 | | sampleLengths | | 0 | 36 | | 1 | 4 | | 2 | 39 | | 3 | 18 | | 4 | 27 | | 5 | 60 | | 6 | 2 | | 7 | 21 | | 8 | 30 | | 9 | 52 | | 10 | 31 | | 11 | 13 | | 12 | 20 | | 13 | 83 | | 14 | 30 | | 15 | 3 | | 16 | 9 | | 17 | 10 | | 18 | 40 | | 19 | 50 | | 20 | 11 | | 21 | 23 | | 22 | 12 | | 23 | 65 | | 24 | 13 | | 25 | 27 | | 26 | 56 | | 27 | 46 | | 28 | 8 | | 29 | 34 | | 30 | 60 | | 31 | 19 | | 32 | 36 | | 33 | 35 | | 34 | 6 | | 35 | 54 | | 36 | 39 | | 37 | 40 | | 38 | 3 | | 39 | 7 | | 40 | 44 | | 41 | 36 | | 42 | 8 | | 43 | 6 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 82 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 146 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 99 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 895 | | adjectiveStacks | 1 | | stackExamples | | 0 | "thicker, pressing against her" |
| | adverbCount | 31 | | adverbRatio | 0.034636871508379886 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.008938547486033519 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 99 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 99 | | mean | 12.79 | | std | 8.44 | | cv | 0.66 | | sampleLengths | | 0 | 20 | | 1 | 16 | | 2 | 4 | | 3 | 7 | | 4 | 13 | | 5 | 2 | | 6 | 2 | | 7 | 15 | | 8 | 10 | | 9 | 8 | | 10 | 27 | | 11 | 6 | | 12 | 13 | | 13 | 12 | | 14 | 5 | | 15 | 6 | | 16 | 6 | | 17 | 12 | | 18 | 2 | | 19 | 9 | | 20 | 12 | | 21 | 30 | | 22 | 14 | | 23 | 17 | | 24 | 13 | | 25 | 8 | | 26 | 14 | | 27 | 17 | | 28 | 13 | | 29 | 20 | | 30 | 10 | | 31 | 18 | | 32 | 38 | | 33 | 12 | | 34 | 5 | | 35 | 13 | | 36 | 4 | | 37 | 13 | | 38 | 3 | | 39 | 9 | | 40 | 10 | | 41 | 10 | | 42 | 3 | | 43 | 17 | | 44 | 6 | | 45 | 4 | | 46 | 22 | | 47 | 15 | | 48 | 13 | | 49 | 11 |
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| 65.32% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.43434343434343436 | | totalSentences | 99 | | uniqueOpeners | 43 | |
| 83.33% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 80 | | matches | | 0 | "Just that expression of pure" | | 1 | "Instead it jerked toward the" |
| | ratio | 0.025 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 20 | | totalSentences | 80 | | matches | | 0 | "She pulled a small brass" | | 1 | "His movements lacked her military" | | 2 | "She ignored the suggestion and" | | 3 | "She held the compass closer" | | 4 | "Her watch strap caught on" | | 5 | "She stopped at the tunnel" | | 6 | "He joined her, boots scraping" | | 7 | "She knelt and held her" | | 8 | "She pointed to the fine" | | 9 | "Her jaw tightened at the" | | 10 | "She opened the dead man's" | | 11 | "She stepped closer to the" | | 12 | "she lifted one, its cover" | | 13 | "His usual quick theories had" | | 14 | "She pressed on." | | 15 | "She held the compass higher." | | 16 | "Its needle spun wildly now," | | 17 | "It reached toward the satchel" | | 18 | "They had not arrived at" | | 19 | "They had arrived at an" |
| | ratio | 0.25 | |
| 10.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 72 | | totalSentences | 80 | | matches | | 0 | "Quinn dropped into the abandoned" | | 1 | "Ellis landed behind her with" | | 2 | "Quinn crossed to the corpse" | | 3 | "The man lay sprawled between" | | 4 | "Ellis crouched opposite her and" | | 5 | "Quinn turned the victim's hand" | | 6 | "The palm carried a fresh" | | 7 | "She pulled a small brass" | | 8 | "Verdigris patina covered the casing." | | 9 | "The needle refused to settle" | | 10 | "Ellis stood and wiped his" | | 11 | "His movements lacked her military" | | 12 | "She ignored the suggestion and" | | 13 | "The arrangement formed an arrowhead" | | 14 | "Someone had staged the chaos" | | 15 | "She held the compass closer" | | 16 | "Ellis leaned in, freckles standing" | | 17 | "Quinn rose and followed the" | | 18 | "Her watch strap caught on" | | 19 | "The market stalls pressed close" |
| | ratio | 0.9 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 80 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 42 | | technicalSentenceCount | 2 | | matches | | 0 | "The market stalls pressed close on either side, their contents still spilling across the floor: bundles of dried herbs that smelled of sulphur, glass jars fille…" | | 1 | "The circle of vials shattered simultaneously, releasing green smoke that coiled toward the emerging shape like it was answering a call." |
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| 41.67% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 1 | | matches | | 0 | "Quinn drew, though the gesture felt useless against what she saw forming" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |