| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 28 | | tagDensity | 0.536 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 84.81% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1317 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "nervously" | | 1 | "carefully" | | 2 | "slightly" | | 3 | "very" |
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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) | |
| 54.44% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1317 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "oppressive" | | 1 | "gloom" | | 2 | "perfect" | | 3 | "stark" | | 4 | "whisper" | | 5 | "familiar" | | 6 | "weight" | | 7 | "predator" | | 8 | "raced" | | 9 | "etched" | | 10 | "flicker" | | 11 | "shattered" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 3 | | maxInWindow | 2 | | found | | 0 | | label | "blood ran cold" | | count | 1 |
| | 1 | | label | "eyes widened/narrowed" | | count | 1 |
| | 2 | | label | "flicker of emotion" | | count | 1 |
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| | highlights | | 0 | "blood went cold" | | 1 | "eyes narrowed" | | 2 | "a flicker of doubt" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 92 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 92 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 101 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 64 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 1308 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 74.95% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 40 | | wordCount | 1066 | | uniqueNames | 13 | | maxNameDensity | 1.5 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Tube | 1 | | Harlow | 2 | | Quinn | 16 | | Town | 1 | | Kowalski | 1 | | Eva | 9 | | Veil | 2 | | Market | 3 | | Morris | 1 | | Compass | 1 | | Shades | 1 | | Get | 1 | | You | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Kowalski" | | 3 | "Eva" | | 4 | "Morris" | | 5 | "You" |
| | places | | | globalScore | 0.75 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 64 | | glossingSentenceCount | 1 | | matches | | 0 | "Eva swallowed visibly, her freckled compl" |
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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 | 1308 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 101 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 35 | | mean | 37.37 | | std | 21.75 | | cv | 0.582 | | sampleLengths | | 0 | 65 | | 1 | 65 | | 2 | 62 | | 3 | 40 | | 4 | 2 | | 5 | 100 | | 6 | 11 | | 7 | 45 | | 8 | 57 | | 9 | 40 | | 10 | 38 | | 11 | 30 | | 12 | 15 | | 13 | 46 | | 14 | 58 | | 15 | 32 | | 16 | 22 | | 17 | 57 | | 18 | 22 | | 19 | 32 | | 20 | 39 | | 21 | 13 | | 22 | 6 | | 23 | 18 | | 24 | 7 | | 25 | 26 | | 26 | 63 | | 27 | 35 | | 28 | 10 | | 29 | 63 | | 30 | 37 | | 31 | 41 | | 32 | 21 | | 33 | 63 | | 34 | 27 |
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| 93.82% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 92 | | matches | | 0 | "been closed" | | 1 | "was fixed" | | 2 | "been attacked" | | 3 | "been attacked" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 188 | | matches | | 0 | "was twitching" | | 1 | "were doing" |
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| 1.41% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 2 | | flaggedSentences | 5 | | totalSentences | 101 | | ratio | 0.05 | | matches | | 0 | "The cause of death was brutally apparent—a deep, vicious gash across his throat." | | 1 | "She shifted her weight, her satchel—no doubt full of obscure books and notes—bumping against her hip." | | 2 | "The needle doesn’t point north; it points to supernatural energy." | | 3 | "The man hadn’t been attacked for his wallet. He’d been attacked for his compass. The struggle hadn’t been a struggle—it had been a ritual disarming. The killer hadn’t just wanted the object; they had needed to break its power, contain its energy right here, on the spot, with those chalked symbols. The violence was a byproduct. The real crime was theft and desecration." | | 4 | "With all due respect—”" |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1038 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 32 | | adverbRatio | 0.030828516377649325 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.011560693641618497 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 101 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 101 | | mean | 12.95 | | std | 10.42 | | cv | 0.805 | | sampleLengths | | 0 | 30 | | 1 | 22 | | 2 | 7 | | 3 | 6 | | 4 | 15 | | 5 | 25 | | 6 | 25 | | 7 | 19 | | 8 | 15 | | 9 | 13 | | 10 | 15 | | 11 | 10 | | 12 | 8 | | 13 | 12 | | 14 | 10 | | 15 | 2 | | 16 | 2 | | 17 | 18 | | 18 | 20 | | 19 | 17 | | 20 | 5 | | 21 | 38 | | 22 | 8 | | 23 | 3 | | 24 | 12 | | 25 | 33 | | 26 | 3 | | 27 | 3 | | 28 | 19 | | 29 | 6 | | 30 | 15 | | 31 | 11 | | 32 | 6 | | 33 | 16 | | 34 | 18 | | 35 | 12 | | 36 | 26 | | 37 | 5 | | 38 | 14 | | 39 | 4 | | 40 | 7 | | 41 | 15 | | 42 | 15 | | 43 | 10 | | 44 | 11 | | 45 | 10 | | 46 | 4 | | 47 | 2 | | 48 | 10 | | 49 | 4 |
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| 61.39% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.4158415841584158 | | totalSentences | 101 | | uniqueOpeners | 42 | |
| 39.22% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 85 | | matches | | 0 | "Already on the ground." |
| | ratio | 0.012 | |
| 97.65% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 26 | | totalSentences | 85 | | matches | | 0 | "Their faces were pale, their" | | 1 | "Her posture was rigid, a" | | 2 | "Her sharp jaw was set," | | 3 | "Her curly red hair was" | | 4 | "She was twitching, one hand" | | 5 | "She glanced at her watch," | | 6 | "She shifted her weight, her" | | 7 | "Her gaze was fixed on" | | 8 | "It was all wrong." | | 9 | "she repeated, her tone flat" | | 10 | "She stepped under the tape," | | 11 | "She moved with that military" | | 12 | "She crouched by the body," | | 13 | "it would have taken significant" | | 14 | "He’d been lying down when" | | 15 | "She stood and walked over" | | 16 | "They formed a rough circle" | | 17 | "she whisperedNot for keeping things" | | 18 | "She turned back to the" | | 19 | "It was a sliver of" |
| | ratio | 0.306 | |
| 54.12% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 69 | | totalSentences | 85 | | matches | | 0 | "The air in the abandoned" | | 1 | "The uniformed officers had cordoned" | | 2 | "Their faces were pale, their" | | 3 | "This wasn’t a typical crime" | | 4 | "Detective Quinn’s worn leather boots" | | 5 | "Her posture was rigid, a" | | 6 | "Her sharp jaw was set," | | 7 | "The body lay near the" | | 8 | "A man, late twenties, well-dressed" | | 9 | "The cause of death was" | | 10 | "The pool of blood around" | | 11 | "Camden Town station had been" | | 12 | "Eva Kowalski stood just outside" | | 13 | "Her curly red hair was" | | 14 | "She was twitching, one hand" | | 15 | "Quinn had requested her presence." | | 16 | "Quinn acknowledged, her voice a" | | 17 | "Eva swallowed visibly, her freckled" | | 18 | "Quinn’s eyes narrowed." | | 19 | "The Veil Market." |
| | ratio | 0.812 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 85 | | matches | (empty) | | ratio | 0 | |
| 38.33% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 41 | | technicalSentenceCount | 6 | | matches | | 0 | "Her posture was rigid, a habit she’d carried with her from the military, a spine of steel that defied the exhaustion weighing on her shoulders." | | 1 | "Her sharp jaw was set, and her brown eyes missed nothing, cataloging the scene with a cold, professional detachment that had taken years to perfect." | | 2 | "The body lay near the edge of the platform, half-sprawled as if he’d been trying to climb back up." | | 3 | "Quinn’s mind raced, connecting dots others couldn’t even see. A man with a Market token. A hidden location. Ritual symbols. A kill that was too precise, too str…" | | 4 | "She turned back to the body. Something glinted, caught in the fibres of the man’s expensive wool suit coat, near the shoulder. Something that wasn’t blood or di…" | | 5 | "Quinn handed it over. Eva pulled a small magnifying glass from her satchel, her hands shaking slightly. She examined the fragment, turning it over and over." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 6 | | matches | | 0 | "Quinn acknowledged, her voice a low rasp" | | 1 | "Eva said, her voice hesitant" | | 2 | "she repeated, her tone flat" | | 3 | "Quinn murmured, more to herself than to him" | | 4 | "Quinn said, her voice cutting through the murmurs of the other officers" | | 5 | "Quinn said, her voice low and deadly calm" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 5 | | fancyTags | | 0 | "Quinn acknowledged (acknowledge)" | | 1 | "she repeated (repeat)" | | 2 | "Quinn murmured (murmur)" | | 3 | "she breathed (breathe)" | | 4 | "Quinn interrupted (interrupt)" |
| | dialogueSentences | 28 | | tagDensity | 0.357 | | leniency | 0.714 | | rawRatio | 0.5 | | effectiveRatio | 0.357 | |