| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 20 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 43 | | tagDensity | 0.465 | | leniency | 0.93 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.68% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1505 | | 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) | |
| 50.17% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1505 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "echoed" | | 1 | "whisper" | | 2 | "calculating" | | 3 | "silence" | | 4 | "scanning" | | 5 | "standard" | | 6 | "etched" | | 7 | "traced" | | 8 | "stark" | | 9 | "stomach" | | 10 | "tension" | | 11 | "scanned" | | 12 | "pulsed" | | 13 | "rhythmic" |
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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 | 101 | | matches | (empty) | |
| 86.28% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 2 | | narrationSentences | 101 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 124 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 37 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 1498 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 28.47% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 61 | | wordCount | 1152 | | uniqueNames | 15 | | maxNameDensity | 2.43 | | worstName | "Harlow" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Harlow" | | discoveredNames | | Tube | 1 | | Quinn | 1 | | Harlow | 28 | | Eva | 10 | | Kowalski | 1 | | Detective | 1 | | Constable | 1 | | Miller | 7 | | Vane | 4 | | Shade | 1 | | Morris | 1 | | Silas | 2 | | Compass | 1 | | London | 1 | | Underground | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Harlow" | | 2 | "Eva" | | 3 | "Kowalski" | | 4 | "Constable" | | 5 | "Miller" | | 6 | "Vane" | | 7 | "Morris" | | 8 | "Silas" | | 9 | "Underground" |
| | places | | | globalScore | 0.285 | | windowScore | 0.5 | |
| 61.76% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 85 | | glossingSentenceCount | 3 | | matches | | 0 | "as if surrendering" | | 1 | "looked like the disruption of a liquid" | | 2 | "looked like a scar in the rough stone" |
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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 | 1498 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 124 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 54 | | mean | 27.74 | | std | 19.58 | | cv | 0.706 | | sampleLengths | | 0 | 68 | | 1 | 7 | | 2 | 57 | | 3 | 46 | | 4 | 48 | | 5 | 12 | | 6 | 52 | | 7 | 23 | | 8 | 40 | | 9 | 22 | | 10 | 56 | | 11 | 19 | | 12 | 38 | | 13 | 10 | | 14 | 93 | | 15 | 21 | | 16 | 39 | | 17 | 5 | | 18 | 31 | | 19 | 5 | | 20 | 3 | | 21 | 14 | | 22 | 56 | | 23 | 8 | | 24 | 28 | | 25 | 36 | | 26 | 56 | | 27 | 12 | | 28 | 40 | | 29 | 16 | | 30 | 40 | | 31 | 4 | | 32 | 25 | | 33 | 6 | | 34 | 30 | | 35 | 13 | | 36 | 32 | | 37 | 19 | | 38 | 12 | | 39 | 2 | | 40 | 20 | | 41 | 18 | | 42 | 31 | | 43 | 9 | | 44 | 9 | | 45 | 23 | | 46 | 40 | | 47 | 26 | | 48 | 24 | | 49 | 29 |
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| 87.89% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 101 | | matches | | 0 | "being caught" | | 1 | "was etched" | | 2 | "was singed" | | 3 | "was cauterized" | | 4 | "was filled" |
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| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 8 | | totalVerbs | 186 | | matches | | 0 | "wasn't pointing" | | 1 | "wasn't pointing" | | 2 | "was pointing" | | 3 | "was lying" | | 4 | "was vibrating" | | 5 | "wasn't pointing" | | 6 | "was pointing" | | 7 | "was still humming" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 3 | | flaggedSentences | 7 | | totalSentences | 124 | | ratio | 0.056 | | matches | | 0 | "She knew that voice; it was the frantic, high-pitched whisper of a woman calculating the probability of being caught." | | 1 | "The usual vendors—strange alchemists and pawnbrokers selling stolen souls—were notably absent." | | 2 | "It was a piece of junk she’d bought years ago from a shady contact in the market—crafted by a Shade artisan, she suspected, though she’d never confirmed it." | | 3 | "Under normal circumstances, the needle was useless; it pointed to true north." | | 4 | "The shadow cast by the body—extended by the angle of the light—didn't look like a shadow at all." | | 5 | "\"Pull on that loose brick, third row down. It’s not loose; it’s a release mechanism.\"" | | 6 | "The vibration faded, replaced by the distant, rhythmic sound of the London Underground trains far above them—nothing but metal on rails and the thunder of a city that had no idea what lived beneath its feet." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1164 | | adjectiveStacks | 1 | | stackExamples | | 0 | "frantic, high-pitched whisper" |
| | adverbCount | 34 | | adverbRatio | 0.029209621993127148 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.00859106529209622 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 124 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 124 | | mean | 12.08 | | std | 6.51 | | cv | 0.539 | | sampleLengths | | 0 | 18 | | 1 | 32 | | 2 | 18 | | 3 | 7 | | 4 | 3 | | 5 | 19 | | 6 | 25 | | 7 | 10 | | 8 | 26 | | 9 | 20 | | 10 | 9 | | 11 | 11 | | 12 | 10 | | 13 | 18 | | 14 | 10 | | 15 | 2 | | 16 | 17 | | 17 | 14 | | 18 | 21 | | 19 | 17 | | 20 | 6 | | 21 | 16 | | 22 | 24 | | 23 | 5 | | 24 | 15 | | 25 | 2 | | 26 | 12 | | 27 | 16 | | 28 | 28 | | 29 | 7 | | 30 | 12 | | 31 | 8 | | 32 | 12 | | 33 | 8 | | 34 | 10 | | 35 | 10 | | 36 | 9 | | 37 | 28 | | 38 | 21 | | 39 | 12 | | 40 | 14 | | 41 | 9 | | 42 | 4 | | 43 | 17 | | 44 | 14 | | 45 | 12 | | 46 | 13 | | 47 | 5 | | 48 | 10 | | 49 | 7 |
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| 57.26% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.3870967741935484 | | totalSentences | 124 | | uniqueOpeners | 48 | |
| 69.44% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 96 | | matches | | 0 | "Instead, the air hung thick" | | 1 | "Then, she saw it." |
| | ratio | 0.021 | |
| 86.67% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 32 | | totalSentences | 96 | | matches | | 0 | "Her boots clicked rhythmically against" | | 1 | "She knew that voice; it" | | 2 | "She saw the curly red" | | 3 | "She pushed her round glasses" | | 4 | "He looked pale, his uniform" | | 5 | "She noted the stillness of" | | 6 | "She ignored the dust on" | | 7 | "She pulled the small brass" | | 8 | "It was a piece of" | | 9 | "It attuned itself to the" | | 10 | "She opened the casing." | | 11 | "She peered over Harlow’s shoulder," | | 12 | "She traced a line in" | | 13 | "It wasn't pointing at the" | | 14 | "It was pointing straight down." | | 15 | "It looked like the disruption" | | 16 | "She looked at the dead" | | 17 | "His shirt was singed." | | 18 | "It was cauterized, the edges" | | 19 | "She stood up abruptly, the" |
| | ratio | 0.333 | |
| 17.29% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 85 | | totalSentences | 96 | | matches | | 0 | "The air in the abandoned" | | 1 | "Harlow Quinn adjusted the strap" | | 2 | "Her boots clicked rhythmically against" | | 3 | "Eva said from the shadows" | | 4 | "Harlow didn't turn." | | 5 | "She knew that voice; it" | | 6 | "She saw the curly red" | | 7 | "Eva stepped out, her worn" | | 8 | "She pushed her round glasses" | | 9 | "Harlow stopped near the base" | | 10 | "The usual vendors—strange alchemists and" | | 11 | "A body lay in the" | | 12 | "Harlow called out, her voice" | | 13 | "A young uniformed officer, Detective" | | 14 | "He looked pale, his uniform" | | 15 | "Harlow corrected, her sharp jawline" | | 16 | "Miller flinched, his eyes darting" | | 17 | "Harlow crouched beside the corpse." | | 18 | "Silas Vane was a plague" | | 19 | "Harlow observed, her gaze scanning" |
| | ratio | 0.885 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 96 | | matches | (empty) | | ratio | 0 | |
| 68.45% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 48 | | technicalSentenceCount | 5 | | matches | | 0 | "Her boots clicked rhythmically against the tiling, a sharp military cadence that echoed in the vast, subterranean space." | | 1 | "She noted the stillness of his limbs, the precise positioning of his hands as if surrendering." | | 2 | "The casing had a dull patina of verdigris, and the face was etched with sigils that buzzed faintly against her skin." | | 3 | "The needle was vibrating so hard it was almost audible, a high-pitched whine that made her teeth ache." | | 4 | "The vibration faded, replaced by the distant, rhythmic sound of the London Underground trains far above them—nothing but metal on rails and the thunder of a cit…" |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 20 | | uselessAdditionCount | 6 | | matches | | 0 | "Harlow called out, her voice resonating in the tunnel" | | 1 | "Harlow observed, her gaze scanning the prone figure" | | 2 | "Harlow said, her tone brooking no argument" | | 3 | "Harlow said, a cold dread settling in the pit of her stomach" | | 4 | "Miller asked, his voice trembling" | | 5 | "Harlow said, her voice low and dangerous" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 14 | | fancyCount | 7 | | fancyTags | | 0 | "Harlow called out (call out)" | | 1 | "Harlow corrected (correct)" | | 2 | "Harlow observed (observe)" | | 3 | "Eva whispered (whisper)" | | 4 | "Harlow muttered (mutter)" | | 5 | "Eva whispered (whisper)" | | 6 | "Harlow corrected (correct)" |
| | dialogueSentences | 43 | | tagDensity | 0.326 | | leniency | 0.651 | | rawRatio | 0.5 | | effectiveRatio | 0.326 | |