| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 16 | | adverbTagCount | 4 | | adverbTags | | 0 | "she asked bluntly [bluntly]" | | 1 | "He glanced nervously [nervously]" | | 2 | "Quinn realized aloud [aloud]" | | 3 | "Tomás's hand moved unconsciously [unconsciously]" |
| | dialogueSentences | 35 | | tagDensity | 0.457 | | leniency | 0.914 | | rawRatio | 0.25 | | effectiveRatio | 0.229 | |
| 72.97% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1295 | | totalAiIsmAdverbs | 7 | | found | | | highlights | | 0 | "suddenly" | | 1 | "quickly" | | 2 | "cautiously" | | 3 | "slightly" | | 4 | "nervously" | | 5 | "very" | | 6 | "really" |
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| 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) | |
| 65.25% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1295 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "scanned" | | 1 | "constructed" | | 2 | "tension" | | 3 | "flicked" | | 4 | "flicker" | | 5 | "navigate" | | 6 | "almost alive" | | 7 | "warmth" | | 8 | "familiar" |
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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 | 77 | | matches | (empty) | |
| 31.54% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 5 | | narrationSentences | 77 | | filterMatches | | | hedgeMatches | | 0 | "appeared to" | | 1 | "happened to" | | 2 | "began to" |
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| 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 | 33 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1305 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 16.31% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 57 | | wordCount | 935 | | uniqueNames | 12 | | maxNameDensity | 2.67 | | worstName | "Quinn" | | maxWindowNameDensity | 4 | | worstWindowName | "Quinn" | | discoveredNames | | London | 1 | | Harlow | 1 | | Quinn | 25 | | Raven | 3 | | Nest | 3 | | Morris | 6 | | Tube | 1 | | Herrera | 1 | | Saint | 1 | | Christopher | 1 | | Tomás | 12 | | Market | 2 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Raven" | | 3 | "Morris" | | 4 | "Herrera" | | 5 | "Saint" | | 6 | "Christopher" | | 7 | "Tomás" |
| | places | | | globalScore | 0.163 | | windowScore | 0.333 | |
| 32.81% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 64 | | glossingSentenceCount | 3 | | matches | | 0 | "k – ornate and seemingly ancient, yet it hun" | | 1 | "looked like blood, the odd artifacts scat" | | 2 | "looked like a small bone token, similar t" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.766 | | wordCount | 1305 | | matches | | 0 | "not just about her suspect, but about what really happened to Morris" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 95 | | matches | (empty) | |
| 99.03% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 43 | | mean | 30.35 | | std | 15.07 | | cv | 0.497 | | sampleLengths | | 0 | 55 | | 1 | 50 | | 2 | 47 | | 3 | 12 | | 4 | 56 | | 5 | 53 | | 6 | 56 | | 7 | 52 | | 8 | 51 | | 9 | 28 | | 10 | 5 | | 11 | 34 | | 12 | 33 | | 13 | 30 | | 14 | 31 | | 15 | 22 | | 16 | 34 | | 17 | 27 | | 18 | 18 | | 19 | 15 | | 20 | 23 | | 21 | 18 | | 22 | 36 | | 23 | 18 | | 24 | 10 | | 25 | 17 | | 26 | 21 | | 27 | 34 | | 28 | 16 | | 29 | 9 | | 30 | 33 | | 31 | 40 | | 32 | 13 | | 33 | 47 | | 34 | 17 | | 35 | 51 | | 36 | 14 | | 37 | 43 | | 38 | 51 | | 39 | 23 | | 40 | 24 | | 41 | 24 | | 42 | 14 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 77 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 176 | | matches | | 0 | "wasn't lying" | | 1 | "was crossing" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 11 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 95 | | ratio | 0.095 | | matches | | 0 | "The suspect – a tall woman in a black raincoat – had bolted from The Raven's Nest the moment Quinn had flashed her badge." | | 1 | "The cellar door had been fitted with an unusual lock – ornate and seemingly ancient, yet it hung open now, inviting her down." | | 2 | "Her superiors had advised caution – the bar's owner had powerful friends – but Quinn couldn't ignore her instincts." | | 3 | "The air grew thick with unfamiliar scents – incense, exotic spices, and something metallic that reminded her of blood." | | 4 | "\"How do you know who I am?\" Quinn kept her gun leveled at him, recognizing him from surveillance photos – he frequented The Raven's Nest and had connections to several persons of interest." | | 5 | "Something about this place felt wrong – the same wrongness she'd felt when investigating Morris's disappearance." | | 6 | "Something flashed in Tomás's eyes – surprise, perhaps respect." | | 7 | "She was crossing a line – following a suspect into territory where her badge might mean nothing, guided by a man who by all accounts was part of the very operation she'd been investigating." | | 8 | "Yet something told her this was where she'd find answers – not just about her suspect, but about what really happened to Morris." |
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| 99.21% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 929 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 38 | | adverbRatio | 0.04090419806243272 | | lyAdverbCount | 18 | | lyAdverbRatio | 0.0193756727664155 | |
| 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 | 13.74 | | std | 6.94 | | cv | 0.505 | | sampleLengths | | 0 | 14 | | 1 | 17 | | 2 | 24 | | 3 | 17 | | 4 | 11 | | 5 | 22 | | 6 | 11 | | 7 | 12 | | 8 | 10 | | 9 | 14 | | 10 | 12 | | 11 | 12 | | 12 | 8 | | 13 | 13 | | 14 | 23 | | 15 | 7 | | 16 | 20 | | 17 | 19 | | 18 | 7 | | 19 | 12 | | 20 | 13 | | 21 | 13 | | 22 | 18 | | 23 | 11 | | 24 | 19 | | 25 | 22 | | 26 | 9 | | 27 | 16 | | 28 | 17 | | 29 | 9 | | 30 | 28 | | 31 | 5 | | 32 | 8 | | 33 | 18 | | 34 | 8 | | 35 | 33 | | 36 | 10 | | 37 | 12 | | 38 | 8 | | 39 | 23 | | 40 | 8 | | 41 | 12 | | 42 | 10 | | 43 | 18 | | 44 | 16 | | 45 | 11 | | 46 | 16 | | 47 | 9 | | 48 | 9 | | 49 | 5 |
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| 85.61% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.5263157894736842 | | totalSentences | 95 | | uniqueOpeners | 50 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 74 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 13 | | totalSentences | 74 | | matches | | 0 | "She had been watching The" | | 1 | "Her superiors had advised caution" | | 2 | "She'd found Morris's badge in" | | 3 | "She'd seen the strange symbols" | | 4 | "His Saint Christopher medallion gleamed" | | 5 | "His eyes flicked to the" | | 6 | "He touched his scar reflexively" | | 7 | "she asked bluntly" | | 8 | "He glanced nervously around" | | 9 | "He reached into his pocket" | | 10 | "It felt warm against her" | | 11 | "She was crossing a line" | | 12 | "They moved deeper into the" |
| | ratio | 0.176 | |
| 20.81% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 65 | | totalSentences | 74 | | matches | | 0 | "Detective Harlow Quinn kept her" | | 1 | "The suspect – a tall" | | 2 | "Quinn's boots splashed through water" | | 3 | "The rain plastered her salt-and-pepper" | | 4 | "The woman veered suddenly, disappearing" | | 5 | "Quinn followed, her hand instinctively" | | 6 | "The alley opened into a" | | 7 | "Quinn scanned quickly, catching a" | | 8 | "Quinn's voice cut through the" | | 9 | "The figure hesitated for just" | | 10 | "Quinn approached cautiously, drawing her" | | 11 | "The beam cut through the" | | 12 | "The cellar door had been" | | 13 | "This wasn't part of her" | | 14 | "She had been watching The" | | 15 | "Her superiors had advised caution" | | 16 | "The memory of her partner's" | | 17 | "She'd found Morris's badge in" | | 18 | "The case remained unsolved, classified" | | 19 | "She'd seen the strange symbols" |
| | ratio | 0.878 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 74 | | matches | (empty) | | ratio | 0 | |
| 71.43% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 40 | | technicalSentenceCount | 4 | | matches | | 0 | "Stalls constructed of scavenged materials lined the old platform, illuminated by lanterns that cast strange, shifting shadows." | | 1 | "The woman she'd been chasing was nowhere in sight, lost among the crowd of market-goers who wore everything from modern clothing to outfits that belonged in his…" | | 2 | "Quinn studied him, her instincts telling her he wasn't lying." | | 3 | "Quinn tucked the bone token into her pocket, feeling its strange warmth even through her rain-soaked clothing." |
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| 93.75% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 16 | | uselessAdditionCount | 1 | | matches | | 0 | "Quinn said, her decision made" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 1 | | fancyTags | | 0 | "Tomás explained (explain)" |
| | dialogueSentences | 35 | | tagDensity | 0.114 | | leniency | 0.229 | | rawRatio | 0.25 | | effectiveRatio | 0.057 | |