| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 37 | | adverbTagCount | 3 | | adverbTags | | 0 | "Quinn said automatically [automatically]" | | 1 | "Eva said quietly [quietly]" | | 2 | "Eva said softly [softly]" |
| | dialogueSentences | 84 | | tagDensity | 0.44 | | leniency | 0.881 | | rawRatio | 0.081 | | effectiveRatio | 0.071 | |
| 76.40% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1695 | | totalAiIsmAdverbs | 8 | | found | | 0 | | | 1 | | | 2 | | | 3 | | adverb | "reluctantly" | | count | 1 |
| | 4 | | | 5 | |
| | highlights | | 0 | "carefully" | | 1 | "slowly" | | 2 | "slightly" | | 3 | "reluctantly" | | 4 | "really" | | 5 | "softly" |
| |
| 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) | |
| 64.60% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1695 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "echo" | | 1 | "footsteps" | | 2 | "chill" | | 3 | "perfect" | | 4 | "etched" | | 5 | "magnetic" | | 6 | "potential" | | 7 | "wavered" | | 8 | "stomach" | | 9 | "shimmered" | | 10 | "standard" | | 11 | "unwavering" |
| |
| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
| | 1 | | label | "sent a shiver through" | | count | 1 |
|
| | highlights | | 0 | "eyes narrowed" | | 1 | "sent a chill through" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 95 | | matches | (empty) | |
| 82.71% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 2 | | narrationSentences | 95 | | filterMatches | | | hedgeMatches | | 0 | "appeared to" | | 1 | "seemed to" |
| |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 142 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1678 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 24 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 77 | | wordCount | 931 | | uniqueNames | 11 | | maxNameDensity | 3.87 | | worstName | "Quinn" | | maxWindowNameDensity | 6 | | worstWindowName | "Quinn" | | discoveredNames | | Detective | 1 | | Harlow | 1 | | Quinn | 36 | | Tube | 2 | | Metropolitan | 1 | | Police | 1 | | Morris | 3 | | Eva | 29 | | Kowalski | 1 | | London | 1 | | Victorian | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Police" | | 3 | "Morris" | | 4 | "Eva" | | 5 | "Kowalski" |
| | places | | | globalScore | 0 | | windowScore | 0 | |
| 34.62% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 65 | | glossingSentenceCount | 3 | | matches | | 0 | "appeared normal at first glance—just another stretch of century-old tiles and accumulated filth" | | 1 | "looked like white chalk" | | 2 | "appeared near the bottom, but above his were others—officers from different precincts, different eras, all listed as missing or deceased under unusual circumstances" |
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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 | 1678 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 142 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 76 | | mean | 22.08 | | std | 12.76 | | cv | 0.578 | | sampleLengths | | 0 | 47 | | 1 | 31 | | 2 | 57 | | 3 | 9 | | 4 | 45 | | 5 | 13 | | 6 | 33 | | 7 | 19 | | 8 | 33 | | 9 | 5 | | 10 | 22 | | 11 | 12 | | 12 | 36 | | 13 | 11 | | 14 | 13 | | 15 | 24 | | 16 | 30 | | 17 | 27 | | 18 | 23 | | 19 | 11 | | 20 | 36 | | 21 | 38 | | 22 | 14 | | 23 | 9 | | 24 | 31 | | 25 | 22 | | 26 | 5 | | 27 | 45 | | 28 | 27 | | 29 | 44 | | 30 | 7 | | 31 | 13 | | 32 | 1 | | 33 | 26 | | 34 | 16 | | 35 | 3 | | 36 | 36 | | 37 | 17 | | 38 | 18 | | 39 | 2 | | 40 | 22 | | 41 | 40 | | 42 | 15 | | 43 | 17 | | 44 | 12 | | 45 | 14 | | 46 | 43 | | 47 | 13 | | 48 | 37 | | 49 | 43 |
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| 94.18% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 95 | | matches | | 0 | "was pulled" | | 1 | "been drawn" | | 2 | "was etched" |
| |
| 80.24% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 167 | | matches | | 0 | "was spinning" | | 1 | "was wearing" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 0 | | flaggedSentences | 8 | | totalSentences | 142 | | ratio | 0.056 | | matches | | 0 | "The tunnel opened to a wider space—the old platform of a station decommissioned in the 1950s." | | 1 | "Quinn checked her watch—a habit from earlier days when stakeouts required precise timing." | | 2 | "The far end of the platform appeared normal at first glance—just another stretch of century-old tiles and accumulated filth." | | 3 | "\"The tags at the entrance are at least six months old, based on oxidation. This\"—Eva gestured at the circle—\"was created last night.\"" | | 4 | "\"Because I was following the readings.\" Eva pulled something from her satchel—a small journal with dog-eared pages." | | 5 | "The needle wasn't pointing north—it was spinning slowly, as if confused by conflicting magnetic fields." | | 6 | "Morris's name appeared near the bottom, but above his were others—officers from different precincts, different eras, all listed as missing or deceased under unusual circumstances." | | 7 | "Quinn's hand closed around her worn leather watch—a habit when making difficult decisions." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 872 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 28 | | adverbRatio | 0.03211009174311927 | | lyAdverbCount | 14 | | lyAdverbRatio | 0.016055045871559634 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 142 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 142 | | mean | 11.82 | | std | 6.52 | | cv | 0.552 | | sampleLengths | | 0 | 13 | | 1 | 13 | | 2 | 21 | | 3 | 31 | | 4 | 13 | | 5 | 23 | | 6 | 21 | | 7 | 2 | | 8 | 3 | | 9 | 4 | | 10 | 16 | | 11 | 14 | | 12 | 10 | | 13 | 3 | | 14 | 1 | | 15 | 1 | | 16 | 13 | | 17 | 18 | | 18 | 15 | | 19 | 14 | | 20 | 5 | | 21 | 20 | | 22 | 13 | | 23 | 5 | | 24 | 11 | | 25 | 11 | | 26 | 3 | | 27 | 9 | | 28 | 14 | | 29 | 22 | | 30 | 11 | | 31 | 13 | | 32 | 13 | | 33 | 11 | | 34 | 13 | | 35 | 17 | | 36 | 18 | | 37 | 9 | | 38 | 18 | | 39 | 5 | | 40 | 11 | | 41 | 8 | | 42 | 19 | | 43 | 9 | | 44 | 15 | | 45 | 15 | | 46 | 8 | | 47 | 14 | | 48 | 7 | | 49 | 2 |
| |
| 66.67% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.4295774647887324 | | totalSentences | 142 | | uniqueOpeners | 61 | |
| 39.22% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 85 | | matches | | 0 | "Carefully stepping over the chalk" |
| | ratio | 0.012 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 8 | | totalSentences | 85 | | matches | | 0 | "She pocketed it with a" | | 1 | "Her torch beam caught a" | | 2 | "They especially didn't send them" | | 3 | "Their previous meeting had ended" | | 4 | "Its face was etched with" | | 5 | "It was a neatly organized" | | 6 | "she said, backing away, hand" | | 7 | "She reached for her phone" |
| | ratio | 0.094 | |
| 30.59% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 73 | | totalSentences | 85 | | matches | | 0 | "The bone token slipped through" | | 1 | "She pocketed it with a" | | 2 | "Her torch beam caught a" | | 3 | "The Metropolitan Police didn't send" | | 4 | "They especially didn't send them" | | 5 | "The trail that had led" | | 6 | "Case file stamped" | | 7 | "The tunnel opened to a" | | 8 | "The air hung differently here," | | 9 | "Quinn's nose wrinkled." | | 10 | "The voice emerged from the" | | 11 | "Quinn's hand instinctively moved toward" | | 12 | "The young woman's curly red" | | 13 | "Quinn kept her tone neutral" | | 14 | "Eva tucked a strand of" | | 15 | "Eva patted her worn leather" | | 16 | "Quinn's jaw tightened." | | 17 | "Their previous meeting had ended" | | 18 | "The young woman had appeared" | | 19 | "Eva's green eyes narrowed" |
| | ratio | 0.859 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 85 | | matches | (empty) | | ratio | 0 | |
| 87.91% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 39 | | technicalSentenceCount | 3 | | matches | | 0 | "The needle wasn't pointing north—it was spinning slowly, as if confused by conflicting magnetic fields." | | 1 | "Quinn stared at the compass, its needle unwavering in its indication of the impossible doorway forming in the brick wall." | | 2 | "The brass felt unnaturally warm against Quinn's palm, its needle pulsing slightly as if alive." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 37 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 3 | | fancyTags | | 0 | "Quinn murmured (murmur)" | | 1 | "Eva continued (continue)" | | 2 | "Quinn muttered (mutter)" |
| | dialogueSentences | 84 | | tagDensity | 0.131 | | leniency | 0.262 | | rawRatio | 0.273 | | effectiveRatio | 0.071 | |