| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 27 | | tagDensity | 0.148 | | leniency | 0.296 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 918 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 1.96% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 918 | | totalAiIsms | 18 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | word | "down her spine" | | count | 2 |
| | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | word | "the last thing" | | count | 1 |
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| | highlights | | 0 | "flicker" | | 1 | "rhythmic" | | 2 | "pulse" | | 3 | "footsteps" | | 4 | "down her spine" | | 5 | "gloom" | | 6 | "racing" | | 7 | "glinting" | | 8 | "tracing" | | 9 | "pulsed" | | 10 | "could feel" | | 11 | "flicked" | | 12 | "chill" | | 13 | "whisper" | | 14 | "the last thing" |
| |
| 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 | 79 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 79 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 102 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 9 | | markdownWords | 11 | | totalWords | 907 | | ratio | 0.012 | | matches | | 0 | "The Raven’s Nest" | | 1 | "thump-thump" | | 2 | "wrong" | | 3 | "messages" | | 4 | "taken" | | 5 | "trades" | | 6 | "pulled" | | 7 | "his" | | 8 | "Through." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 58.26% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 30 | | wordCount | 763 | | uniqueNames | 10 | | maxNameDensity | 1.83 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Tomás" | | discoveredNames | | Harlow | 1 | | Quinn | 14 | | Raven | 1 | | Tube | 1 | | Veil | 2 | | Market | 2 | | Herrera | 1 | | Saint | 1 | | Christopher | 1 | | Tomás | 6 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Raven" | | 3 | "Market" | | 4 | "Herrera" | | 5 | "Saint" | | 6 | "Christopher" | | 7 | "Tomás" |
| | places | (empty) | | globalScore | 0.583 | | windowScore | 0.667 | |
| 97.92% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 48 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like dried blood" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 907 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 102 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 48 | | mean | 18.9 | | std | 20.59 | | cv | 1.089 | | sampleLengths | | 0 | 1 | | 1 | 68 | | 2 | 45 | | 3 | 45 | | 4 | 10 | | 5 | 42 | | 6 | 7 | | 7 | 2 | | 8 | 23 | | 9 | 4 | | 10 | 7 | | 11 | 30 | | 12 | 13 | | 13 | 1 | | 14 | 75 | | 15 | 10 | | 16 | 45 | | 17 | 33 | | 18 | 10 | | 19 | 7 | | 20 | 5 | | 21 | 1 | | 22 | 9 | | 23 | 84 | | 24 | 31 | | 25 | 11 | | 26 | 2 | | 27 | 34 | | 28 | 8 | | 29 | 17 | | 30 | 3 | | 31 | 18 | | 32 | 11 | | 33 | 20 | | 34 | 10 | | 35 | 5 | | 36 | 53 | | 37 | 10 | | 38 | 6 | | 39 | 2 | | 40 | 8 | | 41 | 6 | | 42 | 44 | | 43 | 5 | | 44 | 2 | | 45 | 1 | | 46 | 22 | | 47 | 1 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 79 | | matches | | |
| 97.44% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 130 | | matches | | 0 | "was telling" | | 1 | "was falling" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 13 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 102 | | ratio | 0.088 | | matches | | 0 | "The suspect—a wiry man in a soaked trench coat—had vanished into the alley, but Quinn’s instincts screamed he wasn’t gone." | | 1 | "Then—footsteps." | | 2 | "Quinn’s torch cut through the gloom, illuminating graffiti—twisted symbols, names scrawled in what looked like dried blood." | | 3 | "She’d heard whispers of it—black-market deals, supernatural goods, the kind of place where the rules of the world bent." | | 4 | "He pressed it against a section of wall—hidden until now—and the bricks shifted, revealing a narrow passage." | | 5 | "Stalls lined the narrow corridor, their wares glowing faintly in the dim light—bottles of swirling liquid, bundles of herbs, objects that shouldn’t exist." | | 6 | "Quinn’s instincts screamed—" | | 7 | "She barely had time to register the bone token in her hand—*his* token, the one she’d taken from the suspect—before the market blurred, the stalls twisting, the air thickening like syrup." | | 8 | "Then—darkness." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 777 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 22 | | adverbRatio | 0.028314028314028315 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.003861003861003861 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 102 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 102 | | mean | 8.86 | | std | 7.08 | | cv | 0.799 | | sampleLengths | | 0 | 14 | | 1 | 32 | | 2 | 20 | | 3 | 2 | | 4 | 9 | | 5 | 23 | | 6 | 1 | | 7 | 1 | | 8 | 1 | | 9 | 10 | | 10 | 20 | | 11 | 17 | | 12 | 6 | | 13 | 2 | | 14 | 4 | | 15 | 6 | | 16 | 9 | | 17 | 15 | | 18 | 12 | | 19 | 6 | | 20 | 4 | | 21 | 3 | | 22 | 2 | | 23 | 11 | | 24 | 12 | | 25 | 3 | | 26 | 1 | | 27 | 7 | | 28 | 7 | | 29 | 4 | | 30 | 10 | | 31 | 6 | | 32 | 3 | | 33 | 11 | | 34 | 2 | | 35 | 21 | | 36 | 19 | | 37 | 17 | | 38 | 18 | | 39 | 6 | | 40 | 4 | | 41 | 3 | | 42 | 5 | | 43 | 3 | | 44 | 19 | | 45 | 15 | | 46 | 9 | | 47 | 7 | | 48 | 17 | | 49 | 6 |
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| 59.80% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.38235294117647056 | | totalSentences | 102 | | uniqueOpeners | 39 | |
| 99.50% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 67 | | matches | | 0 | "Then Tomás stepped closer, his" | | 1 | "Then the world exploded in" |
| | ratio | 0.03 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 16 | | totalSentences | 67 | | matches | | 0 | "She pressed her back against" | | 1 | "She moved low, her service" | | 2 | "He twisted, but she drove" | | 3 | "she growled, pressing the muzzle" | | 4 | "His eyes darted past her," | | 5 | "She knew that tone." | | 6 | "They left *messages*." | | 7 | "She holstered her weapon, keeping" | | 8 | "Her mind was already racing." | | 9 | "She’d heard whispers of it—black—market" | | 10 | "He pressed it against a" | | 11 | "His olive skin was pale," | | 12 | "His gaze flicked past her," | | 13 | "she said, voice low" | | 14 | "His fingers brushed the medallion" | | 15 | "She barely had time to" |
| | ratio | 0.239 | |
| 19.70% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 59 | | totalSentences | 67 | | matches | | 0 | "The neon flicker of a" | | 1 | "Detective Harlow Quinn’s breath came" | | 2 | "The suspect—a wiry man in" | | 3 | "She pressed her back against" | | 4 | "The city hummed around her:" | | 5 | "Quinn exhaled through her nose," | | 6 | "The alley twisted like a" | | 7 | "She moved low, her service" | | 8 | "The suspect had to be" | | 9 | "A flicker of movement." | | 10 | "A shadow detaching from the" | | 11 | "Quinn lunged, her fingers closing" | | 12 | "He twisted, but she drove" | | 13 | "she growled, pressing the muzzle" | | 14 | "The man’s breath hitched." | | 15 | "His eyes darted past her," | | 16 | "Quinn’s grip tightened." | | 17 | "A cold prickle ran down" | | 18 | "She knew that tone." | | 19 | "The kind who didn’t leave" |
| | ratio | 0.881 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 67 | | matches | (empty) | | ratio | 0 | |
| 53.57% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 32 | | technicalSentenceCount | 4 | | matches | | 0 | "Detective Harlow Quinn’s breath came in sharp, controlled bursts as she skidded around a corner, her boots splashing through puddles that reflected the sickly g…" | | 1 | "The air here was thick with the scent of incense and something older, something that made her skin prickle." | | 2 | "Stalls lined the narrow corridor, their wares glowing faintly in the dim light—bottles of swirling liquid, bundles of herbs, objects that shouldn’t exist." | | 3 | "Something *pulled* at her, yanking her forward, her boots skidding on slick stone." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 1 | | matches | | |
| 75.93% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 2 | | fancyTags | | 0 | "she growled (growl)" | | 1 | "he muttered (mutter)" |
| | dialogueSentences | 27 | | tagDensity | 0.111 | | leniency | 0.222 | | rawRatio | 0.667 | | effectiveRatio | 0.148 | |