| 94.74% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 1 | | adverbTags | | 0 | "She stepped around [around]" |
| | dialogueSentences | 19 | | tagDensity | 0.316 | | leniency | 0.632 | | rawRatio | 0.167 | | effectiveRatio | 0.105 | |
| 89.98% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 998 | | totalAiIsmAdverbs | 2 | | found | | 0 | | adverb | "reluctantly" | | count | 1 |
| | 1 | |
| | 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) | |
| 14.83% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 998 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "footsteps" | | 1 | "echoing" | | 2 | "calculated" | | 3 | "pulsed" | | 4 | "weight" | | 5 | "comforting" | | 6 | "determined" | | 7 | "chill" | | 8 | "lilt" | | 9 | "scanning" | | 10 | "sinister" | | 11 | "hulking" | | 12 | "scanned" | | 13 | "shattered" | | 14 | "pounding" | | 15 | "racing" |
| |
| 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 | 83 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 83 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 95 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 25 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 988 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 94.51% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 24 | | wordCount | 901 | | uniqueNames | 11 | | maxNameDensity | 1.11 | | worstName | "Quinn" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Quinn" | | discoveredNames | | Detective | 1 | | Harlow | 1 | | Quinn | 10 | | Raven | 1 | | Nest | 1 | | Camden | 1 | | Veil | 2 | | Market | 2 | | Spanish | 1 | | Saint | 2 | | Christopher | 2 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Raven" | | 3 | "Saint" | | 4 | "Christopher" |
| | places | | | globalScore | 0.945 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 73 | | glossingSentenceCount | 1 | | matches | | 0 | "weapons that seemed to hum with latent energy" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 988 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 95 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 29 | | mean | 34.07 | | std | 24.51 | | cv | 0.719 | | sampleLengths | | 0 | 82 | | 1 | 54 | | 2 | 69 | | 3 | 95 | | 4 | 49 | | 5 | 49 | | 6 | 53 | | 7 | 9 | | 8 | 10 | | 9 | 14 | | 10 | 10 | | 11 | 61 | | 12 | 49 | | 13 | 11 | | 14 | 11 | | 15 | 10 | | 16 | 17 | | 17 | 15 | | 18 | 18 | | 19 | 62 | | 20 | 47 | | 21 | 47 | | 22 | 40 | | 23 | 28 | | 24 | 9 | | 25 | 14 | | 26 | 9 | | 27 | 13 | | 28 | 33 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 83 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 167 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 1 | | flaggedSentences | 8 | | totalSentences | 95 | | ratio | 0.084 | | matches | | 0 | "The suspect—a shadowy figure in a dark hood—darted through the narrow alley, their footsteps echoing off the brick walls." | | 1 | "Stallkeepers hawked their wares—amber vials of potions, black-market spellbooks, and artifacts that pulsed faintly with an inner light." | | 2 | "This wasn’t her jurisdiction—wasn’t even her world." | | 3 | "They were good—darting between stalls, disappearing behind curtains of hanging beads and makeshift walls of crates." | | 4 | "The stalls here were darker, their wares more sinister—glossy black feathers, jars of unidentifiable organs, and weapons that seemed to hum with latent energy." | | 5 | "Before she could respond, movement caught her eye—a hulking shape emerging from the shadows to her left." | | 6 | "The creature—its skin like cracked leather, its eyes glowing faintly blue—lunged toward her." | | 7 | "Another shot wouldn’t stop it; she’d need something else." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 911 | | adjectiveStacks | 1 | | stackExamples | | 0 | "sinister—glossy black feathers," |
| | adverbCount | 24 | | adverbRatio | 0.026344676180021953 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.009879253567508232 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 95 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 95 | | mean | 10.4 | | std | 4.93 | | cv | 0.474 | | sampleLengths | | 0 | 13 | | 1 | 18 | | 2 | 19 | | 3 | 20 | | 4 | 7 | | 5 | 5 | | 6 | 12 | | 7 | 17 | | 8 | 9 | | 9 | 5 | | 10 | 6 | | 11 | 5 | | 12 | 12 | | 13 | 12 | | 14 | 13 | | 15 | 6 | | 16 | 11 | | 17 | 15 | | 18 | 10 | | 19 | 12 | | 20 | 21 | | 21 | 11 | | 22 | 18 | | 23 | 23 | | 24 | 11 | | 25 | 7 | | 26 | 7 | | 27 | 5 | | 28 | 19 | | 29 | 9 | | 30 | 11 | | 31 | 16 | | 32 | 13 | | 33 | 16 | | 34 | 14 | | 35 | 23 | | 36 | 8 | | 37 | 1 | | 38 | 7 | | 39 | 3 | | 40 | 14 | | 41 | 5 | | 42 | 5 | | 43 | 7 | | 44 | 13 | | 45 | 17 | | 46 | 24 | | 47 | 14 | | 48 | 15 | | 49 | 9 |
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| 43.86% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.3263157894736842 | | totalSentences | 95 | | uniqueOpeners | 31 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 83 | | matches | (empty) | | ratio | 0 | |
| 32.05% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 39 | | totalSentences | 83 | | matches | | 0 | "Her sharp jaw tightened as" | | 1 | "She didn’t need to check" | | 2 | "She needed to keep moving." | | 3 | "Her voice cut through the" | | 4 | "She knew this part of" | | 5 | "She knew what lay beneath." | | 6 | "Her boots hit the steps" | | 7 | "She reached the bottom and" | | 8 | "She pressed forward, her military" | | 9 | "Her suspect was somewhere in" | | 10 | "She adjusted her coat, the" | | 11 | "She ignored the stares, her" | | 12 | "They were good—darting between stalls," | | 13 | "She rounded a corner and" | | 14 | "He caught her arm, his" | | 15 | "His voice carried a Spanish" | | 16 | "She pulled free, her eyes" | | 17 | "His warm brown eyes followed" | | 18 | "She stepped around him, her" | | 19 | "He shrugged, adjusting the tray." |
| | ratio | 0.47 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 78 | | totalSentences | 83 | | matches | | 0 | "The rain hammered down, turning" | | 1 | "Her sharp jaw tightened as" | | 2 | "The suspect—a shadowy figure in" | | 3 | "Quinn’s hand brushed against the" | | 4 | "She didn’t need to check" | | 5 | "She needed to keep moving." | | 6 | "Her voice cut through the" | | 7 | "The figure didn’t even glance" | | 8 | "Quinn hesitated at the top," | | 9 | "This wasn’t just any basement." | | 10 | "She knew this part of" | | 11 | "She knew what lay beneath." | | 12 | "The stairwell was dimly lit," | | 13 | "The air smelled of damp" | | 14 | "Her boots hit the steps" | | 15 | "She reached the bottom and" | | 16 | "The corridor stretched ahead, lined" | | 17 | "The faint hum of voices" | | 18 | "She pressed forward, her military" | | 19 | "The corridor opened into a" |
| | ratio | 0.94 | |
| 60.24% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 83 | | matches | | 0 | "Before she could respond, movement" |
| | ratio | 0.012 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 44 | | technicalSentenceCount | 2 | | matches | | 0 | "Quinn followed, her boots splashing through puddles of rainwater that had seeped down from the streets above." | | 1 | "The stalls here were darker, their wares more sinister—glossy black feathers, jars of unidentifiable organs, and weapons that seemed to hum with latent energy." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 2 | | matches | | 0 | "She stepped around, her focus returning to the chase" | | 1 | "Quinn said, her voice steady" |
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| 44.74% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 2 | | fancyTags | | 0 | "she muttered (mutter)" | | 1 | "she muttered (mutter)" |
| | dialogueSentences | 19 | | tagDensity | 0.211 | | leniency | 0.421 | | rawRatio | 0.5 | | effectiveRatio | 0.211 | |