| 18.18% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 2 | | adverbTags | | 0 | "she shouted back [back]" | | 1 | "he said quietly [quietly]" |
| | dialogueSentences | 14 | | tagDensity | 0.786 | | leniency | 1 | | rawRatio | 0.182 | | effectiveRatio | 0.182 | |
| 94.23% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 867 | | totalAiIsmAdverbs | 1 | | found | | 0 | | adverb | "reluctantly" | | count | 1 |
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| | 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) | |
| 7.73% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 867 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "pounding" | | 1 | "footsteps" | | 2 | "echoed" | | 3 | "navigated" | | 4 | "treacherous" | | 5 | "determined" | | 6 | "scanned" | | 7 | "glint" | | 8 | "tinged" | | 9 | "depths" | | 10 | "navigating" | | 11 | "delved" | | 12 | "familiar" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "air was thick with" | | count | 1 |
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| | highlights | | 0 | "the air was thick with" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 48 | | matches | (empty) | |
| 83.33% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 48 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 51 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 40 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 868 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 86.39% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 29 | | wordCount | 786 | | uniqueNames | 14 | | maxNameDensity | 1.27 | | worstName | "Harlow" | | maxWindowNameDensity | 2 | | worstWindowName | "Harlow" | | discoveredNames | | Detective | 1 | | Harlow | 10 | | Quinn | 1 | | Morris | 1 | | Saint | 1 | | Christopher | 1 | | Tomás | 5 | | Herrera | 3 | | Tube | 1 | | Camden | 1 | | Veil | 1 | | Market | 1 | | Raven | 1 | | Nest | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Morris" | | 3 | "Saint" | | 4 | "Christopher" | | 5 | "Tomás" | | 6 | "Herrera" | | 7 | "Raven" |
| | places | | | globalScore | 0.864 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 47 | | glossingSentenceCount | 3 | | matches | | 0 | "age with ease, seemingly unfazed by the trea" | | 1 | "looked like the Saint Christopher medalli" | | 2 | "felt like an eternity, they reached the" |
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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 | 868 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 51 | | matches | (empty) | |
| 77.21% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 23 | | mean | 37.74 | | std | 15.86 | | cv | 0.42 | | sampleLengths | | 0 | 59 | | 1 | 56 | | 2 | 54 | | 3 | 42 | | 4 | 62 | | 5 | 15 | | 6 | 41 | | 7 | 60 | | 8 | 25 | | 9 | 22 | | 10 | 41 | | 11 | 58 | | 12 | 22 | | 13 | 38 | | 14 | 29 | | 15 | 40 | | 16 | 45 | | 17 | 40 | | 18 | 13 | | 19 | 15 | | 20 | 36 | | 21 | 44 | | 22 | 11 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 48 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 130 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 51 | | ratio | 0.118 | | matches | | 0 | "It had been a gift from her late partner, Morris, three years ago when they'd still been chasing cases together - before he disappeared into the supernatural underworld, never to return." | | 1 | "A glint of something metallic caught her eye - a medallion dangling from the suspect's neck." | | 2 | "Even in the dim light, Harlow could make out the warm brown eyes and short curly dark brown hair of Tomás Herrera - a man she'd been trying to track down for weeks." | | 3 | "\"You don't understand. There's something down there...\" His voice trailed off as he glanced towards the entrance to the abandoned Tube station beneath Camden - the location of the Veil Market, a hidden supernatural black market that moved every full moon." | | 4 | "As they approached the entryway, he pulled out a bone token from his pocket - the required pass to enter the illicit trading hub." | | 5 | "She noticed a familiar green neon sign above the entrance to a bar - The Raven's Nest, the same place she'd been investigating just last week." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 785 | | adjectiveStacks | 1 | | stackExamples | | 0 | "paramedic-turned-underground medic" |
| | adverbCount | 21 | | adverbRatio | 0.0267515923566879 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.012738853503184714 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 51 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 51 | | mean | 17.02 | | std | 7.57 | | cv | 0.445 | | sampleLengths | | 0 | 23 | | 1 | 17 | | 2 | 19 | | 3 | 25 | | 4 | 31 | | 5 | 12 | | 6 | 20 | | 7 | 22 | | 8 | 6 | | 9 | 17 | | 10 | 19 | | 11 | 17 | | 12 | 16 | | 13 | 29 | | 14 | 15 | | 15 | 14 | | 16 | 16 | | 17 | 11 | | 18 | 14 | | 19 | 13 | | 20 | 33 | | 21 | 18 | | 22 | 7 | | 23 | 22 | | 24 | 41 | | 25 | 32 | | 26 | 15 | | 27 | 11 | | 28 | 22 | | 29 | 14 | | 30 | 24 | | 31 | 21 | | 32 | 8 | | 33 | 16 | | 34 | 24 | | 35 | 14 | | 36 | 13 | | 37 | 18 | | 38 | 14 | | 39 | 26 | | 40 | 13 | | 41 | 9 | | 42 | 6 | | 43 | 11 | | 44 | 19 | | 45 | 6 | | 46 | 15 | | 47 | 13 | | 48 | 16 | | 49 | 7 |
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| 82.35% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.5294117647058824 | | totalSentences | 51 | | uniqueOpeners | 27 | |
| 69.44% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 48 | | matches | | 0 | "Instead, she channeled her anger" |
| | ratio | 0.021 | |
| 86.67% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 16 | | totalSentences | 48 | | matches | | 0 | "Her military precision bearing was" | | 1 | "she muttered under her breath," | | 2 | "It had been a gift" | | 3 | "She watched as the figure" | | 4 | "It looked like the Saint" | | 5 | "she whispered, her brown eyes" | | 6 | "She followed him across the" | | 7 | "he called out over the" | | 8 | "she shouted back, the raindrops" | | 9 | "His voice trailed off as" | | 10 | "She couldn't afford to be" | | 11 | "She reached for her gun," | | 12 | "he said quietly, handing her" | | 13 | "She took it reluctantly, eyeing" | | 14 | "She noticed a familiar green" | | 15 | "she asked, nodding towards a" |
| | ratio | 0.333 | |
| 85.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 36 | | totalSentences | 48 | | matches | | 0 | "The pounding of footsteps on" | | 1 | "The cool mist clung to" | | 2 | "Her military precision bearing was" | | 3 | "she muttered under her breath," | | 4 | "It had been a gift" | | 5 | "A sudden turn down an" | | 6 | "She watched as the figure" | | 7 | "The scratched metal of a" | | 8 | "Harlow hissed through gritted teeth" | | 9 | "The cold metal bit into" | | 10 | "A glint of something metallic" | | 11 | "It looked like the Saint" | | 12 | "she whispered, her brown eyes" | | 13 | "She followed him across the" | | 14 | "The rain made the surfaces" | | 15 | "he called out over the" | | 16 | "she shouted back, the raindrops" | | 17 | "His voice trailed off as" | | 18 | "Harlow knew she had only" | | 19 | "The memory of her partner's" |
| | ratio | 0.75 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 48 | | matches | | 0 | "Even in the dim light," | | 1 | "If there was one thing" |
| | ratio | 0.042 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 35 | | technicalSentenceCount | 2 | | matches | | 0 | "It looked like the Saint Christopher medallion she'd seen just days before around the neck of Tomás Herrera, the paramedic-turned-underground medic who'd been t…" | | 1 | "Stalls and stands filled with enchanted goods, banned alchemical substances, and information lined the underground platform, creating a maze-like atmosphere tha…" |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 3 | | matches | | 0 | "she whispered, her brown eyes narrowing in focus" | | 1 | "she shouted back, the raindrops pelting against her skin like tiny needles" | | 2 | "Tomás replied, his voice low and urgent" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 5 | | fancyTags | | 0 | "she muttered (mutter)" | | 1 | "Harlow hissed (hiss)" | | 2 | "she whispered (whisper)" | | 3 | "he called out (call out)" | | 4 | "she shouted back (shout)" |
| | dialogueSentences | 14 | | tagDensity | 0.571 | | leniency | 1 | | rawRatio | 0.625 | | effectiveRatio | 0.625 | |