| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 2 | | adverbTags | | 0 | "Eva said quietly [quietly]" | | 1 | "Eva’s gaze drifted back [back]" |
| | dialogueSentences | 20 | | tagDensity | 0.45 | | leniency | 0.9 | | rawRatio | 0.222 | | effectiveRatio | 0.2 | |
| 86.73% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1884 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "lazily" | | 1 | "slowly" | | 2 | "slightly" | | 3 | "very" | | 4 | "suddenly" |
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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) | |
| 49.58% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1884 | | totalAiIsms | 19 | | found | | | highlights | | 0 | "scanned" | | 1 | "intricate" | | 2 | "etched" | | 3 | "velvet" | | 4 | "flicked" | | 5 | "warmth" | | 6 | "silk" | | 7 | "pulsed" | | 8 | "stomach" | | 9 | "weight" | | 10 | "flickered" | | 11 | "footsteps" | | 12 | "familiar" | | 13 | "aligned" | | 14 | "could feel" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 111 | | matches | | |
| 39.90% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 4 | | hedgeCount | 4 | | narrationSentences | 111 | | filterMatches | | | hedgeMatches | | 0 | "appeared to" | | 1 | "tried to" | | 2 | "began to" | | 3 | "seemed to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 122 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 67 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1879 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 63 | | wordCount | 1393 | | uniqueNames | 20 | | maxNameDensity | 1.22 | | worstName | "Harlow" | | maxWindowNameDensity | 3 | | worstWindowName | "Harlow" | | discoveredNames | | Harlow | 17 | | Quinn | 2 | | Tube | 1 | | Camden | 1 | | Police | 1 | | Blitz | 1 | | Veil | 2 | | Market | 1 | | Morris | 4 | | Ellis | 6 | | Thorn | 6 | | Shade | 1 | | Kowalski | 1 | | British | 1 | | Museum | 1 | | Eva | 10 | | Compass | 1 | | Elias | 3 | | London | 1 | | Detective | 2 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Morris" | | 3 | "Ellis" | | 4 | "Thorn" | | 5 | "Kowalski" | | 6 | "Museum" | | 7 | "Eva" | | 8 | "Elias" |
| | places | | 0 | "British" | | 1 | "Compass" | | 2 | "London" |
| | globalScore | 0.89 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 81 | | glossingSentenceCount | 1 | | matches | | 0 | "felt like the night DS Morris had disap" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.532 | | wordCount | 1879 | | matches | | 0 | "not into a simple homicide, but into a question" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 122 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 29 | | mean | 64.79 | | std | 37.43 | | cv | 0.578 | | sampleLengths | | 0 | 159 | | 1 | 119 | | 2 | 77 | | 3 | 103 | | 4 | 102 | | 5 | 97 | | 6 | 104 | | 7 | 23 | | 8 | 26 | | 9 | 133 | | 10 | 5 | | 11 | 27 | | 12 | 35 | | 13 | 29 | | 14 | 37 | | 15 | 66 | | 16 | 104 | | 17 | 25 | | 18 | 30 | | 19 | 43 | | 20 | 80 | | 21 | 48 | | 22 | 64 | | 23 | 73 | | 24 | 78 | | 25 | 47 | | 26 | 40 | | 27 | 70 | | 28 | 35 |
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| 89.46% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 111 | | matches | | 0 | "been stamped" | | 1 | "was supposed" | | 2 | "were curled" | | 3 | "been sealed" | | 4 | "been found" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 225 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 4 | | flaggedSentences | 7 | | totalSentences | 122 | | ratio | 0.057 | | matches | | 0 | "The market was supposed to relocate with every full moon; its presence here tonight meant someone had anchored it, and anchoring carried a price." | | 1 | "When she lifted the man’s sleeve, faint burns circled his wrist like a bracelet—too precise for flame, too geometric for acid." | | 2 | "She could not have been more than five-four; beside Harlow’s height she looked almost fragile, yet her green eyes held a wary intelligence that set every instinct humming." | | 3 | "“I arrived ten minutes before the first uniform. Thorn was already gone. I came for research—transcriptions of third-century rift seals. The market moves every full moon; tonight was the only safe window.” Eva’s gaze drifted back to the compass." | | 4 | "The needle tracked unerringly toward the bricked arch until she stood directly between Thorn and the wall; then it began to spin frantically." | | 5 | "For three years she had chased mundane explanations for Morris’s death—corrupt informants, experimental gas, mass hallucination." | | 6 | "For the first time in three years the evidence had aligned—not into a simple homicide, but into a question that threatened to swallow her whole." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1409 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 52 | | adverbRatio | 0.036905606813342796 | | lyAdverbCount | 18 | | lyAdverbRatio | 0.0127750177430802 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 122 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 122 | | mean | 15.4 | | std | 12.72 | | cv | 0.826 | | sampleLengths | | 0 | 27 | | 1 | 27 | | 2 | 26 | | 3 | 17 | | 4 | 7 | | 5 | 13 | | 6 | 42 | | 7 | 19 | | 8 | 16 | | 9 | 14 | | 10 | 3 | | 11 | 28 | | 12 | 4 | | 13 | 11 | | 14 | 24 | | 15 | 27 | | 16 | 50 | | 17 | 3 | | 18 | 28 | | 19 | 16 | | 20 | 2 | | 21 | 2 | | 22 | 31 | | 23 | 21 | | 24 | 4 | | 25 | 57 | | 26 | 41 | | 27 | 4 | | 28 | 7 | | 29 | 9 | | 30 | 20 | | 31 | 13 | | 32 | 21 | | 33 | 10 | | 34 | 13 | | 35 | 16 | | 36 | 22 | | 37 | 27 | | 38 | 2 | | 39 | 4 | | 40 | 22 | | 41 | 9 | | 42 | 1 | | 43 | 1 | | 44 | 6 | | 45 | 12 | | 46 | 5 | | 47 | 3 | | 48 | 23 | | 49 | 6 |
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| 72.40% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.48360655737704916 | | totalSentences | 122 | | uniqueOpeners | 59 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 99 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 21 | | totalSentences | 99 | | matches | | 0 | "She straightened to her full" | | 1 | "Her brown eyes narrowed." | | 2 | "She followed him past a" | | 3 | "His fingers were curled inward," | | 4 | "He gestured at the scattered" | | 5 | "She pulled on fresh gloves," | | 6 | "Its casing wore a thick" | | 7 | "She rose, turning the device" | | 8 | "She could not have been" | | 9 | "Her voice carried the clipped" | | 10 | "She studied Eva the way" | | 11 | "Its warmth bled through her" | | 12 | "She walked a slow circle" | | 13 | "They pulsed once, as if" | | 14 | "Her stomach clenched." | | 15 | "She had called it a" | | 16 | "She glanced at Ellis, whose" | | 17 | "She looked once more at" | | 18 | "She saw the outline of" | | 19 | "she told Eva, already striding" |
| | ratio | 0.212 | |
| 91.31% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 73 | | totalSentences | 99 | | matches | | 0 | "Detective Harlow Quinn descended the" | | 1 | "The air thickened as she" | | 2 | "Ozone and myrrh warred in" | | 3 | "The entire place should not" | | 4 | "She straightened to her full" | | 5 | "Salt-and-pepper hair cropped close to" | | 6 | "This was different." | | 7 | "This felt like the night" | | 8 | "Her brown eyes narrowed." | | 9 | "The worn leather watch on" | | 10 | "The market was supposed to" | | 11 | "DS Ellis emerged from between" | | 12 | "Harlow said nothing." | | 13 | "She followed him past a" | | 14 | "Elias Thorn lay on his" | | 15 | "The man’s face, however, told" | | 16 | "His fingers were curled inward," | | 17 | "Ellis crouched beside her." | | 18 | "He gestured at the scattered" | | 19 | "Harlow’s sharp jaw tightened." |
| | ratio | 0.737 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 4 | | totalSentences | 99 | | matches | | 0 | "Before she could answer, movement" | | 1 | "And, according to Harlow’s private" | | 2 | "Now the fractures were widening" | | 3 | "To Eva she said" |
| | ratio | 0.04 | |
| 46.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 59 | | technicalSentenceCount | 8 | | matches | | 0 | "Yet here stood the Veil Market in all its illicit glory, stalls draped in oilcloth and shadow, hawking vials that swirled with captive starlight, bundles of dri…" | | 1 | "She straightened to her full height, shoulders squared with the military precision that had defined her for eighteen years." | | 2 | "The man’s face, however, told a different story: jaw unhinged in a frozen scream, eyes wide and shot through with burst capillaries that formed intricate patter…" | | 3 | "His fingers were curled inward, nails splintered as though he had tried to claw his way back from somewhere unimaginably far." | | 4 | "Her voice carried the clipped precision of someone who spent more time with ancient texts than living people." | | 5 | "Now the fractures were widening here, in this impossible place that smelled of ozone and old terror." | | 6 | "The floating lights overhead flickered as though something enormous had passed across their unseen source." | | 7 | "Water dripped from the tiled ceiling in slow, arrhythmic plinks that sounded almost like footsteps." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 1 | | fancyTags | | 0 | "Eva explained (explain)" |
| | dialogueSentences | 20 | | tagDensity | 0.3 | | leniency | 0.6 | | rawRatio | 0.167 | | effectiveRatio | 0.1 | |