| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 15 | | tagDensity | 0.4 | | leniency | 0.8 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1274 | | 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) | |
| 29.36% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1274 | | totalAiIsms | 18 | | found | | | highlights | | 0 | "fleeting" | | 1 | "flickered" | | 2 | "flicker" | | 3 | "gloom" | | 4 | "chill" | | 5 | "resonance" | | 6 | "echoed" | | 7 | "weight" | | 8 | "constructed" | | 9 | "velvet" | | 10 | "cacophony" | | 11 | "scanning" | | 12 | "silence" | | 13 | "vibrated" | | 14 | "synchronized" | | 15 | "pulse" |
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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 | 75 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 75 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 84 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 38 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1266 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 25 | | wordCount | 1070 | | uniqueNames | 11 | | maxNameDensity | 0.84 | | worstName | "Harlow" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Tomás" | | discoveredNames | | Camden | 1 | | Harlow | 9 | | Quinn | 1 | | Tomás | 7 | | Tube | 1 | | Saint | 1 | | Christopher | 1 | | Veil | 1 | | Market | 1 | | Metropolitan | 1 | | Police | 1 |
| | persons | | 0 | "Camden" | | 1 | "Harlow" | | 2 | "Quinn" | | 3 | "Tomás" | | 4 | "Saint" | | 5 | "Christopher" | | 6 | "Market" |
| | places | (empty) | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 65 | | glossingSentenceCount | 1 | | matches | | 0 | "felt like it was burning, stinging with" |
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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 | 1266 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 84 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 36 | | mean | 35.17 | | std | 22.04 | | cv | 0.627 | | sampleLengths | | 0 | 72 | | 1 | 12 | | 2 | 86 | | 3 | 61 | | 4 | 28 | | 5 | 20 | | 6 | 34 | | 7 | 27 | | 8 | 5 | | 9 | 52 | | 10 | 48 | | 11 | 58 | | 12 | 1 | | 13 | 21 | | 14 | 67 | | 15 | 52 | | 16 | 34 | | 17 | 32 | | 18 | 8 | | 19 | 26 | | 20 | 18 | | 21 | 59 | | 22 | 24 | | 23 | 72 | | 24 | 58 | | 25 | 14 | | 26 | 21 | | 27 | 19 | | 28 | 26 | | 29 | 40 | | 30 | 15 | | 31 | 63 | | 32 | 13 | | 33 | 11 | | 34 | 50 | | 35 | 19 |
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| 95.91% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 75 | | matches | | 0 | "been covered" | | 1 | "being unlatched" |
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| 48.48% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 176 | | matches | | 0 | "were going" | | 1 | "was talking" | | 2 | "was burning" | | 3 | "was climbing" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 3 | | flaggedSentences | 8 | | totalSentences | 84 | | ratio | 0.095 | | matches | | 0 | "Harlow checked the leather watch on her left wrist; the luminescence of the dial flickered, reacting to the heavy, static air of the district." | | 1 | "He fumbled with something—a small, white object that glimmered in his palm—and pressed it against a protrusion in the brickwork." | | 2 | "Candles burned in jars, their flames flickering in vibrant, impossible colors—violet, sulfurous green, and a deep, pulsing crimson." | | 3 | "The sound of her shout didn't bounce; it died, soaked up by the thick velvet tapestries draped from the ceiling vaults." | | 4 | "Voices hummed in the periphery—a cacophony of whispers in languages that defied phonetic logic." | | 5 | "Tomás was talking to a woman—if she even was a woman—who wore a mask of hammered silver." | | 6 | "His expression wasn't one of fear anymore; it was pity." | | 7 | "The overhead lights—the enchanted candles—flared in unison, casting long, monstrous shadows against the tunnel walls." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1083 | | adjectiveStacks | 1 | | stackExamples | | 0 | "heavy, leather-bound ledger" |
| | adverbCount | 19 | | adverbRatio | 0.017543859649122806 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.006463527239150508 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 84 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 84 | | mean | 15.07 | | std | 7.18 | | cv | 0.477 | | sampleLengths | | 0 | 16 | | 1 | 19 | | 2 | 15 | | 3 | 22 | | 4 | 12 | | 5 | 5 | | 6 | 16 | | 7 | 24 | | 8 | 15 | | 9 | 14 | | 10 | 12 | | 11 | 20 | | 12 | 21 | | 13 | 20 | | 14 | 3 | | 15 | 16 | | 16 | 9 | | 17 | 20 | | 18 | 12 | | 19 | 9 | | 20 | 13 | | 21 | 27 | | 22 | 5 | | 23 | 3 | | 24 | 18 | | 25 | 9 | | 26 | 22 | | 27 | 21 | | 28 | 9 | | 29 | 18 | | 30 | 4 | | 31 | 12 | | 32 | 24 | | 33 | 18 | | 34 | 1 | | 35 | 21 | | 36 | 14 | | 37 | 22 | | 38 | 31 | | 39 | 16 | | 40 | 14 | | 41 | 4 | | 42 | 11 | | 43 | 7 | | 44 | 17 | | 45 | 17 | | 46 | 16 | | 47 | 16 | | 48 | 8 | | 49 | 2 |
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| 56.35% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.38095238095238093 | | totalSentences | 84 | | uniqueOpeners | 32 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 74 | | matches | (empty) | | ratio | 0 | |
| 52.43% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 31 | | totalSentences | 74 | | matches | | 0 | "she barked, her voice swallowed" | | 1 | "He shoved past a cluster" | | 2 | "She lengthened her stride, the" | | 3 | "She knew the medical kit" | | 4 | "He carried the evidence she" | | 5 | "They rounded a corner, the" | | 6 | "He fumbled with something—a small," | | 7 | "she called out, reaching for" | | 8 | "His olive features twisted with" | | 9 | "He dove into the gloom." | | 10 | "She plunged into the station," | | 11 | "She hopped the metal arm," | | 12 | "She reached the platform." | | 13 | "It was not the derelict" | | 14 | "She kept her right hand" | | 15 | "They weren't all human." | | 16 | "She spotted the back of" | | 17 | "She grabbed a heavy iron" | | 18 | "He tucked a heavy, leather-bound" | | 19 | "His expression wasn't one of" |
| | ratio | 0.419 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 69 | | totalSentences | 74 | | matches | | 0 | "Detective Harlow Quinn wiped a" | | 1 | "The jump lacked grace, clumsy" | | 2 | "she barked, her voice swallowed" | | 3 | "Tomás did not look back." | | 4 | "He shoved past a cluster" | | 5 | "Harlow checked the leather watch" | | 6 | "She lengthened her stride, the" | | 7 | "She knew the medical kit" | | 8 | "He carried the evidence she" | | 9 | "They rounded a corner, the" | | 10 | "Tomás skidded at the entrance" | | 11 | "He fumbled with something—a small," | | 12 | "The atmosphere shifted." | | 13 | "A low, harmonic vibration rose" | | 14 | "The air turned metallic, smelling" | | 15 | "she called out, reaching for" | | 16 | "The man pivoted, the Saint" | | 17 | "His olive features twisted with" | | 18 | "The scar on his forearm" | | 19 | "He dove into the gloom." |
| | ratio | 0.932 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 74 | | matches | (empty) | | ratio | 0 | |
| 44.82% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 51 | | technicalSentenceCount | 7 | | matches | | 0 | "The jump lacked grace, clumsy with frantic adrenaline, but it carried the mark of someone who knew exactly where they were going." | | 1 | "He fumbled with something—a small, white object that glimmered in his palm—and pressed it against a protrusion in the brickwork." | | 2 | "She hopped the metal arm, her boots striking the concrete stairs with a resonance that echoed down the long, lightless tunnel below." | | 3 | "Flashlight beams cut through the gloom ahead, swirling with dust motes and something that looked suspiciously like embers." | | 4 | "Voices hummed in the periphery—a cacophony of whispers in languages that defied phonetic logic." | | 5 | "Traders stood behind counters piled high with jars of viscous fluids, polished bones, and rusted daggers that hummed with a low-frequency whine." | | 6 | "It moved with the sound of splintering bone, a wet, dragging gait that made the market-goers scatter like frightened rats." |
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| 41.67% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 1 | | matches | | 0 | "Tomás reached, his fingers brushing the spine of the book" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 3 | | fancyTags | | 0 | "she barked (bark)" | | 1 | "she called out (call out)" | | 2 | "she growled (growl)" |
| | dialogueSentences | 15 | | tagDensity | 0.2 | | leniency | 0.4 | | rawRatio | 1 | | effectiveRatio | 0.4 | |