| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 22 | | tagDensity | 0.273 | | leniency | 0.545 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.52% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1435 | | 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) | |
| 44.25% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1435 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "weight" | | 1 | "echoing" | | 2 | "charged" | | 3 | "vibrated" | | 4 | "gloom" | | 5 | "silence" | | 6 | "pulsed" | | 7 | "rhythmic" | | 8 | "intricate" | | 9 | "porcelain" | | 10 | "silk" | | 11 | "intensity" | | 12 | "synchronized" | | 13 | "familiar" | | 14 | "lurch" |
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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 | 84 | | matches | (empty) | |
| 23.81% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 6 | | narrationSentences | 84 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 100 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 35 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1430 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 45 | | wordCount | 1264 | | uniqueNames | 19 | | maxNameDensity | 1.19 | | worstName | "Harlow" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Harlow" | | discoveredNames | | Quinn | 2 | | Camden | 1 | | High | 1 | | Street | 1 | | Tomás | 1 | | Herrera | 2 | | Spaniard | 1 | | Saint | 2 | | Christopher | 2 | | Victorian | 1 | | Tube | 1 | | London | 1 | | Veil | 2 | | Market | 2 | | Harlow | 15 | | Tommy | 7 | | She-pointed | 1 | | Raven | 1 | | Nest | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Tomás" | | 2 | "Herrera" | | 3 | "Spaniard" | | 4 | "Saint" | | 5 | "Christopher" | | 6 | "Harlow" | | 7 | "Tommy" |
| | places | | 0 | "Camden" | | 1 | "High" | | 2 | "Street" | | 3 | "Victorian" | | 4 | "London" | | 5 | "Raven" |
| | globalScore | 0.907 | | windowScore | 0.833 | |
| 47.26% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 73 | | glossingSentenceCount | 3 | | matches | | 0 | "darkness that seemed to swallow the light from the flickering overhead hum-buzz of the fluorescent tubes" | | 1 | "felt like crushed glass" | | 2 | "felt like a physical blow to the chest" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.699 | | wordCount | 1430 | | matches | | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 100 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 45 | | mean | 31.78 | | std | 20.25 | | cv | 0.637 | | sampleLengths | | 0 | 62 | | 1 | 2 | | 2 | 71 | | 3 | 21 | | 4 | 69 | | 5 | 5 | | 6 | 47 | | 7 | 61 | | 8 | 40 | | 9 | 26 | | 10 | 3 | | 11 | 31 | | 12 | 14 | | 13 | 19 | | 14 | 16 | | 15 | 44 | | 16 | 18 | | 17 | 3 | | 18 | 38 | | 19 | 27 | | 20 | 67 | | 21 | 28 | | 22 | 66 | | 23 | 19 | | 24 | 3 | | 25 | 22 | | 26 | 59 | | 27 | 25 | | 28 | 18 | | 29 | 70 | | 30 | 29 | | 31 | 21 | | 32 | 38 | | 33 | 24 | | 34 | 8 | | 35 | 35 | | 36 | 34 | | 37 | 41 | | 38 | 20 | | 39 | 20 | | 40 | 52 | | 41 | 59 | | 42 | 27 | | 43 | 16 | | 44 | 12 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 84 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 210 | | matches | | 0 | "was still vibrating" | | 1 | "was looking" | | 2 | "was measuring" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 2 | | flaggedSentences | 6 | | totalSentences | 100 | | ratio | 0.06 | | matches | | 0 | "That was the problem with his lot; they always looked toward the next shadow, the next secret, the next lie." | | 1 | "The air here felt different—thicker, charged with a low-frequency hum that vibrated in her molars." | | 2 | "The wall didn't just open; it bled away, the reality of the tunnel rippling like a disturbed pond." | | 3 | "The silence was the first thing that hit her—a heavy, suffocating quiet that made the blood rushing in her ears sound like a waterfall." | | 4 | "The creature—for it was too tall and its proportions too wrong for a man—held a heavy iron staff topped with a glowing amber orb." | | 5 | "Across the market, a bell began to toll—a deep, bronze-heavy sound that felt like a physical blow to the chest." |
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| 60.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1284 | | adjectiveStacks | 7 | | stackExamples | | 0 | "own military-drilled precision." | | 1 | "neon-bright plastic ponchos" | | 2 | "narrow, soot-stained alleyway" | | 3 | "small white rectangular bone" | | 4 | "fine, silver-grey sand" | | 5 | "deep, bronze-heavy sound" | | 6 | "jagged, man-shaped forms." |
| | adverbCount | 31 | | adverbRatio | 0.024143302180685357 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.009345794392523364 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 100 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 100 | | mean | 14.3 | | std | 7.16 | | cv | 0.501 | | sampleLengths | | 0 | 24 | | 1 | 25 | | 2 | 13 | | 3 | 2 | | 4 | 9 | | 5 | 18 | | 6 | 3 | | 7 | 21 | | 8 | 20 | | 9 | 21 | | 10 | 21 | | 11 | 4 | | 12 | 3 | | 13 | 20 | | 14 | 21 | | 15 | 5 | | 16 | 25 | | 17 | 3 | | 18 | 19 | | 19 | 20 | | 20 | 5 | | 21 | 21 | | 22 | 15 | | 23 | 11 | | 24 | 29 | | 25 | 9 | | 26 | 17 | | 27 | 3 | | 28 | 18 | | 29 | 13 | | 30 | 14 | | 31 | 19 | | 32 | 16 | | 33 | 14 | | 34 | 12 | | 35 | 18 | | 36 | 18 | | 37 | 3 | | 38 | 11 | | 39 | 3 | | 40 | 24 | | 41 | 9 | | 42 | 4 | | 43 | 14 | | 44 | 12 | | 45 | 24 | | 46 | 4 | | 47 | 11 | | 48 | 16 | | 49 | 23 |
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| 43.33% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.32 | | totalSentences | 100 | | uniqueOpeners | 32 | |
| 79.37% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 84 | | matches | | 0 | "Instead, her palms pressed into" | | 1 | "Then, the smell arrived." |
| | ratio | 0.024 | |
| 91.43% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 27 | | totalSentences | 84 | | matches | | 0 | "He moved with a frantic," | | 1 | "She shouldered through them, her" | | 2 | "He didn't look back." | | 3 | "He never did." | | 4 | "She felt the heavy weight" | | 5 | "He didn't speak." | | 6 | "He shoved a heavy iron" | | 7 | "She kicked it harder, the" | | 8 | "She tracked the wet, muddy" | | 9 | "They led toward a staircase" | | 10 | "He held a small white" | | 11 | "He pressed the bone token" | | 12 | "He stepped backward, his figure" | | 13 | "She threw herself forward, her" | | 14 | "She tumbled through the opening," | | 15 | "It wasn't the London underground’s" | | 16 | "She stood in a cavernous" | | 17 | "They traded items that defied" | | 18 | "His voice carried an edge" | | 19 | "He was looking at the" |
| | ratio | 0.321 | |
| 1.67% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 77 | | totalSentences | 84 | | matches | | 0 | "Harlow Quinn’s lungs burned with" | | 1 | "He moved with a frantic," | | 2 | "The command tore from her" | | 3 | "A group of tourists in" | | 4 | "Harlow didn't slow." | | 5 | "She shouldered through them, her" | | 6 | "Tommy pivoted on a dime," | | 7 | "Harlow reached the mouth of" | | 8 | "He didn't look back." | | 9 | "He never did." | | 10 | "That was the problem with" | | 11 | "She felt the heavy weight" | | 12 | "The Spaniard’s Saint Christopher medallion" | | 13 | "He didn't speak." | | 14 | "He shoved a heavy iron" | | 15 | "Harlow surged forward, her hand" | | 16 | "The door was still vibrating." | | 17 | "She kicked it harder, the" | | 18 | "The air here felt different—thicker," | | 19 | "She tracked the wet, muddy" |
| | ratio | 0.917 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 84 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 60 | | technicalSentenceCount | 12 | | matches | | 0 | "He moved with a frantic, liquid grace that mocked her own military-drilled precision." | | 1 | "Tommy pivoted on a dime, darting left into a narrow, soot-stained alleyway that smelled of rancid cooking oil and damp cardboard." | | 2 | "She felt the heavy weight of her service weapon against her hip, a comfort that felt increasingly inadequate in this borough." | | 3 | "The air here felt different—thicker, charged with a low-frequency hum that vibrated in her molars." | | 4 | "They led toward a staircase that shouldn't have been there, descending into a darkness that seemed to swallow the light from the flickering overhead hum-buzz of…" | | 5 | "Tommy shook his head, his face softening into something that looked dangerously like pity." | | 6 | "Instead, her palms pressed into a fine, silver-grey sand that felt like crushed glass." | | 7 | "The silence was the first thing that hit her—a heavy, suffocating quiet that made the blood rushing in her ears sound like a waterfall." | | 8 | "They traded items that defied the logic Harlow had spent two decades enforcing: jars containing flickering sparks of light, scrolls that wept ink like blood, an…" | | 9 | "She-pointed at Tommy, who had stopped by a stall draped in black-and-white photographs that looked disturbingly similar to the maps in the Raven's Nest." | | 10 | "The iron staff slammed into the ground inches from Harlow’s boot, cracking the stone platform and sending a spray of silver sparks into the air." | | 11 | "Across the market, a bell began to toll—a deep, bronze-heavy sound that felt like a physical blow to the chest." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 3 | | matches | | 0 | "Harlow snapped, her voice cracking the stillness" | | 1 | "Harlow said, her hand finally closing around the grip of her sidearm" | | 2 | "he whispered, his voice barely audible over the tolling bell" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 4 | | fancyTags | | 0 | "the merchant hissed (hiss)" | | 1 | "Harlow snapped (snap)" | | 2 | "he whispered (whisper)" | | 3 | "Harlow screamed (scream)" |
| | dialogueSentences | 22 | | tagDensity | 0.227 | | leniency | 0.455 | | rawRatio | 0.8 | | effectiveRatio | 0.364 | |