| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 2 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 94.79% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 960 | | 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) | |
| 21.88% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 960 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "pulsed" | | 1 | "chill" | | 2 | "testament" | | 3 | "familiar" | | 4 | "weight" | | 5 | "flickered" | | 6 | "dancing" | | 7 | "fleeting" | | 8 | "chaotic" | | 9 | "scanning" | | 10 | "tinged" | | 11 | "etched" | | 12 | "oppressive" | | 13 | "silence" |
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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 | 0 | | narrationSentences | 92 | | matches | (empty) | |
| 96.27% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 92 | | filterMatches | | | hedgeMatches | | 0 | "tried to" | | 1 | "appeared to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 92 | | 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 | 2 | | markdownWords | 2 | | totalWords | 954 | | ratio | 0.002 | | matches | | |
| 75.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 1 | | matches | | 0 | "Access required a bone token, they said." |
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| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 19 | | wordCount | 941 | | uniqueNames | 9 | | maxNameDensity | 0.43 | | worstName | "Quinn" | | maxWindowNameDensity | 1 | | worstWindowName | "Quinn" | | discoveredNames | | Raven | 2 | | Nest | 2 | | Harlow | 2 | | Quinn | 4 | | Morris | 4 | | Serpent | 1 | | Veil | 1 | | Market | 1 | | Detective | 2 |
| | persons | | 0 | "Raven" | | 1 | "Harlow" | | 2 | "Quinn" | | 3 | "Morris" |
| | places | (empty) | | globalScore | 1 | | windowScore | 1 | |
| 70.63% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 63 | | glossingSentenceCount | 2 | | matches | | 0 | "felt like the kind of darkness she’d gl" | | 1 | "partner who’d apparently walked into the sup" |
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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 | 954 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 92 | | matches | | |
| 10.83% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 14 | | mean | 68.14 | | std | 12.81 | | cv | 0.188 | | sampleLengths | | 0 | 86 | | 1 | 87 | | 2 | 74 | | 3 | 64 | | 4 | 78 | | 5 | 66 | | 6 | 59 | | 7 | 86 | | 8 | 63 | | 9 | 52 | | 10 | 76 | | 11 | 63 | | 12 | 46 | | 13 | 54 |
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| 93.82% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 92 | | matches | | 0 | "was plastered" | | 1 | "was painted" | | 2 | "was gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 146 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 1 | | flaggedSentences | 1 | | totalSentences | 92 | | ratio | 0.011 | | matches | | 0 | "She pushed it open; it yielded with a surprisingly smooth click." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 573 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 21 | | adverbRatio | 0.03664921465968586 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.015706806282722512 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 92 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 92 | | mean | 10.37 | | std | 6.93 | | cv | 0.668 | | sampleLengths | | 0 | 16 | | 1 | 20 | | 2 | 24 | | 3 | 26 | | 4 | 14 | | 5 | 23 | | 6 | 12 | | 7 | 14 | | 8 | 2 | | 9 | 7 | | 10 | 1 | | 11 | 14 | | 12 | 14 | | 13 | 19 | | 14 | 11 | | 15 | 21 | | 16 | 9 | | 17 | 14 | | 18 | 13 | | 19 | 14 | | 20 | 18 | | 21 | 5 | | 22 | 4 | | 23 | 1 | | 24 | 2 | | 25 | 16 | | 26 | 5 | | 27 | 3 | | 28 | 25 | | 29 | 21 | | 30 | 1 | | 31 | 5 | | 32 | 12 | | 33 | 20 | | 34 | 15 | | 35 | 14 | | 36 | 6 | | 37 | 18 | | 38 | 8 | | 39 | 9 | | 40 | 7 | | 41 | 11 | | 42 | 5 | | 43 | 11 | | 44 | 7 | | 45 | 3 | | 46 | 20 | | 47 | 12 | | 48 | 8 | | 49 | 3 |
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| 53.99% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.3695652173913043 | | totalSentences | 92 | | uniqueOpeners | 34 | |
| 80.32% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 83 | | matches | | 0 | "Instead, it opened into a" | | 1 | "Too modern, too clean compared" |
| | ratio | 0.024 | |
| 89.88% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 27 | | totalSentences | 83 | | matches | | 0 | "Her worn leather watch, a" | | 1 | "Her .38 special felt a" | | 2 | "Her salt-and-pepper hair, cropped close" | | 3 | "She moved with a military" | | 4 | "She expected the alley to" | | 5 | "She reached it just as" | | 6 | "She’d seen that symbol before," | | 7 | "She tried the handle." | | 8 | "She hammered on the steel," | | 9 | "She thought of Morris, the" | | 10 | "Her training screamed caution, to" | | 11 | "She stepped back, scanning the" | | 12 | "It looked as ancient as" | | 13 | "She pushed it open; it" | | 14 | "She found herself in a" | | 15 | "She moved deeper, her senses" | | 16 | "They were a threshold." | | 17 | "She ran a gloved hand" | | 18 | "She reached a section of" | | 19 | "It was too quiet." |
| | ratio | 0.325 | |
| 50.36% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 68 | | totalSentences | 83 | | matches | | 0 | "The neon sign of The" | | 1 | "Detective Harlow Quinn’s breath plumed" | | 2 | "Her worn leather watch, a" | | 3 | "The suspect, a shadow with" | | 4 | "Quinn’s voice, honed by years" | | 5 | "Her .38 special felt a" | | 6 | "Her salt-and-pepper hair, cropped close" | | 7 | "She moved with a military" | | 8 | "The memory always surfaced at" | | 9 | "She expected the alley to" | | 10 | "A single, unshaded bulb flickered" | | 11 | "The door, unlike the surrounding" | | 12 | "Quinn sprinted towards it, the" | | 13 | "She reached it just as" | | 14 | "A hastily scrawled symbol, resembling" | | 15 | "She’d seen that symbol before," | | 16 | "This was no ordinary perp." | | 17 | "She tried the handle." | | 18 | "She hammered on the steel," | | 19 | "This was it." |
| | ratio | 0.819 | |
| 60.24% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 83 | | matches | | 0 | "Or, more likely, more questions." |
| | ratio | 0.012 | |
| 71.43% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 40 | | technicalSentenceCount | 4 | | matches | | 0 | "She moved with a military precision that belied the frantic rhythm of her heart." | | 1 | "The air that wafted up carried the metallic tang of blood, sharp and unmistakable, overlaid with the heady, cloying perfume of something that had been dead for …" | | 2 | "But she had a warrant, and a dead partner who’d apparently walked into the supernatural equivalent of a black hole." | | 3 | "Taking a deep breath that did little to calm the sudden storm in her chest, Detective Harlow Quinn stepped through the newly revealed opening, descending into t…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |