| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 39 | | tagDensity | 0.231 | | leniency | 0.462 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 93.77% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1604 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 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) | |
| 71.95% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1604 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "measured" | | 1 | "echoed" | | 2 | "gloom" | | 3 | "etched" | | 4 | "tracing" | | 5 | "intricate" | | 6 | "warmth" | | 7 | "footsteps" | | 8 | "echoing" |
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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 | 125 | | matches | (empty) | |
| 97.14% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 2 | | narrationSentences | 125 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 154 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 47 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1597 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 53 | | wordCount | 1108 | | uniqueNames | 14 | | maxNameDensity | 1.9 | | worstName | "Harlow" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Harlow" | | discoveredNames | | Tube | 1 | | Harlow | 21 | | Quinn | 2 | | Northern | 1 | | Camden | 1 | | Town | 1 | | Victorian | 1 | | Barnes | 10 | | Morris | 2 | | Calm | 1 | | Eva | 1 | | Kowalski | 1 | | Dr | 5 | | Chen | 5 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Barnes" | | 3 | "Morris" | | 4 | "Eva" | | 5 | "Kowalski" | | 6 | "Dr" | | 7 | "Chen" |
| | places | | 0 | "Camden" | | 1 | "Town" | | 2 | "Victorian" |
| | globalScore | 0.552 | | windowScore | 0.5 | |
| 83.33% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 75 | | glossingSentenceCount | 2 | | matches | | 0 | "as if reaching for something" | | 1 | "looked like this" |
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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 | 1597 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 154 | | matches | | 0 | "heard that phrase" | | 1 | "felt that warmth" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 54 | | mean | 29.57 | | std | 22.08 | | cv | 0.747 | | sampleLengths | | 0 | 57 | | 1 | 47 | | 2 | 89 | | 3 | 50 | | 4 | 15 | | 5 | 26 | | 6 | 2 | | 7 | 18 | | 8 | 62 | | 9 | 63 | | 10 | 61 | | 11 | 39 | | 12 | 3 | | 13 | 24 | | 14 | 37 | | 15 | 3 | | 16 | 15 | | 17 | 3 | | 18 | 16 | | 19 | 63 | | 20 | 43 | | 21 | 12 | | 22 | 53 | | 23 | 3 | | 24 | 34 | | 25 | 54 | | 26 | 4 | | 27 | 2 | | 28 | 29 | | 29 | 15 | | 30 | 66 | | 31 | 9 | | 32 | 17 | | 33 | 9 | | 34 | 47 | | 35 | 10 | | 36 | 30 | | 37 | 29 | | 38 | 9 | | 39 | 74 | | 40 | 8 | | 41 | 4 | | 42 | 37 | | 43 | 6 | | 44 | 47 | | 45 | 28 | | 46 | 18 | | 47 | 42 | | 48 | 44 | | 49 | 11 |
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| 96.84% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 125 | | matches | | 0 | "been pulled" | | 1 | "were curled" | | 2 | "was closed" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 197 | | matches | | 0 | "were trying" | | 1 | "was already moving" |
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| 31.54% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 154 | | ratio | 0.039 | | matches | | 0 | "The call had come in forty minutes ago—a body discovered in the disused Northern line tunnels beneath Camden Town." | | 1 | "Graffiti covered the curved walls—tags and symbols layered over each other like geological strata." | | 2 | "The body lay in the center of a small chamber that opened off the main tunnel—a space that had once been a signal room, now stripped of equipment and left to rot." | | 3 | "Harlow looked up to see the pathologist approaching—a woman in her fifties with steady hands and tired eyes." | | 4 | "Chen smiled—a thin, wry expression." | | 5 | "They didn't just decorate the brickwork—they formed a pattern." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1118 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 28 | | adverbRatio | 0.025044722719141325 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.008050089445438283 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 154 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 154 | | mean | 10.37 | | std | 8.13 | | cv | 0.784 | | sampleLengths | | 0 | 13 | | 1 | 25 | | 2 | 19 | | 3 | 4 | | 4 | 3 | | 5 | 19 | | 6 | 21 | | 7 | 24 | | 8 | 17 | | 9 | 14 | | 10 | 9 | | 11 | 1 | | 12 | 8 | | 13 | 16 | | 14 | 9 | | 15 | 12 | | 16 | 23 | | 17 | 6 | | 18 | 15 | | 19 | 26 | | 20 | 2 | | 21 | 2 | | 22 | 16 | | 23 | 11 | | 24 | 6 | | 25 | 11 | | 26 | 16 | | 27 | 18 | | 28 | 32 | | 29 | 17 | | 30 | 6 | | 31 | 8 | | 32 | 4 | | 33 | 1 | | 34 | 19 | | 35 | 13 | | 36 | 9 | | 37 | 15 | | 38 | 15 | | 39 | 3 | | 40 | 5 | | 41 | 11 | | 42 | 5 | | 43 | 3 | | 44 | 7 | | 45 | 17 | | 46 | 8 | | 47 | 7 | | 48 | 13 | | 49 | 3 |
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| 51.95% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.35064935064935066 | | totalSentences | 154 | | uniqueOpeners | 54 | |
| 32.36% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 103 | | matches | | 0 | "Then she knelt beside Eva" |
| | ratio | 0.01 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 24 | | totalSentences | 103 | | matches | | 0 | "She checked her watch." | | 1 | "They followed no pattern she" | | 2 | "He was young, maybe twenty-five," | | 3 | "She could see her breath" | | 4 | "Her eyes were open, green" | | 5 | "She studied the floor around" | | 6 | "She had heard that phrase" | | 7 | "They had worked together before." | | 8 | "She stood, brushing dust from" | | 9 | "She was already moving, her" | | 10 | "They didn't just decorate the" | | 11 | "she asked, her voice low" | | 12 | "They were warm to the" | | 13 | "She had felt that warmth" | | 14 | "He had been working on" | | 15 | "He had left her a" | | 16 | "She had dismissed it as" | | 17 | "She had been wrong." | | 18 | "She turned to face them" | | 19 | "She noted the time, the" |
| | ratio | 0.233 | |
| 52.23% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 84 | | totalSentences | 103 | | matches | | 0 | "The entrance to the abandoned" | | 1 | "Detective Harlow Quinn stood at" | | 2 | "The emergency lighting cast everything" | | 3 | "She checked her watch." | | 4 | "Quarter past midnight." | | 5 | "The call had come in" | | 6 | "Harlow descended the stairs with" | | 7 | "The air grew colder with" | | 8 | "Graffiti covered the curved walls—tags" | | 9 | "They followed no pattern she" | | 10 | "The voice echoed from the" | | 11 | "DC Barnes emerged from the" | | 12 | "He was young, maybe twenty-five," | | 13 | "Harlow asked, stepping over a" | | 14 | "Harlow filed that away and" | | 15 | "The temperature dropped another few" | | 16 | "She could see her breath" | | 17 | "The tiles changed from white" | | 18 | "The carvings grew denser here," | | 19 | "The body lay in the" |
| | ratio | 0.816 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 103 | | matches | | 0 | "As if something had simply" | | 1 | "As if she had been" | | 2 | "If the market moved again," |
| | ratio | 0.029 | |
| 19.23% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 52 | | technicalSentenceCount | 9 | | matches | | 0 | "Detective Harlow Quinn stood at the top of the stairs, her leather-soled shoes pressing into scattered fragments of safety glass that crunched like sugar underf…" | | 1 | "Uniformed officers had secured the perimeter, and now she stood at the threshold of something that felt wrong in her bones." | | 2 | "Harlow descended the stairs with the measured gait of a woman who had walked into too many dark places to rush into one more." | | 3 | "He was young, maybe twenty-five, with the kind of earnest enthusiasm that would either make him a great detective or get him killed." | | 4 | "The carvings grew denser here, clustering around doorways and corners as if they were trying to contain something." | | 5 | "The body lay in the center of a small chamber that opened off the main tunnel—a space that had once been a signal room, now stripped of equipment and left to ro…" | | 6 | "A single bare bulb hung from the ceiling, swaying slightly as if disturbed by a passing train." | | 7 | "She was already moving, her eyes tracing the carvings on the walls." | | 8 | "A case involving a hidden market that moved locations every full moon, selling things that shouldn't exist." |
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| 13.89% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 2 | | matches | | 0 | "she asked, her voice low" | | 1 | "Harlow said, her voice steady" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 1 | | fancyTags | | 0 | "Harlow murmured (murmur)" |
| | dialogueSentences | 39 | | tagDensity | 0.179 | | leniency | 0.359 | | rawRatio | 0.143 | | effectiveRatio | 0.051 | |