| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 18 | | tagDensity | 0.056 | | leniency | 0.111 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.89% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1609 | | 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) | |
| 34.74% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1609 | | totalAiIsms | 21 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | |
| | highlights | | 0 | "wavered" | | 1 | "gloom" | | 2 | "rhythmic" | | 3 | "familiar" | | 4 | "reminder" | | 5 | "maw" | | 6 | "echoed" | | 7 | "pulse" | | 8 | "silence" | | 9 | "velvet" | | 10 | "grave" | | 11 | "scanned" | | 12 | "cacophony" | | 13 | "synchronized" | | 14 | "weight" | | 15 | "porcelain" | | 16 | "single tear" | | 17 | "echoing" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "knuckles turned white" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 105 | | matches | (empty) | |
| 34.01% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 6 | | narrationSentences | 105 | | filterMatches | | | hedgeMatches | | 0 | "seemed to" | | 1 | "began to" | | 2 | "try 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 | | maxSentenceWordsSeen | 38 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1604 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 73.13% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 61 | | wordCount | 1366 | | uniqueNames | 21 | | maxNameDensity | 1.54 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Soho | 2 | | Harlow | 1 | | Quinn | 21 | | October | 1 | | Tomás | 17 | | Herrera | 1 | | Charing | 1 | | Cross | 1 | | Saint | 2 | | Christopher | 2 | | Morris | 1 | | Camden | 1 | | Tube | 1 | | Northern | 1 | | Line | 1 | | London | 1 | | Underground | 1 | | Veil | 2 | | Market | 1 |
| | persons | | 0 | "Raven" | | 1 | "Harlow" | | 2 | "Quinn" | | 3 | "Tomás" | | 4 | "Herrera" | | 5 | "Saint" | | 6 | "Christopher" | | 7 | "Morris" | | 8 | "Market" |
| | places | | 0 | "Soho" | | 1 | "Camden" | | 2 | "London" |
| | globalScore | 0.731 | | windowScore | 0.833 | |
| 37.64% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 89 | | glossingSentenceCount | 4 | | matches | | 0 | "sounded like dry leaves skittering across" | | 1 | "looked like raven wings" | | 2 | "sounded like clicking stones and rushing w" | | 3 | "felt like a toy in this place" |
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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 | 1604 | | matches | (empty) | |
| 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 | 57 | | mean | 28.14 | | std | 17.3 | | cv | 0.615 | | sampleLengths | | 0 | 70 | | 1 | 53 | | 2 | 31 | | 3 | 19 | | 4 | 5 | | 5 | 46 | | 6 | 58 | | 7 | 56 | | 8 | 50 | | 9 | 9 | | 10 | 44 | | 11 | 5 | | 12 | 41 | | 13 | 33 | | 14 | 7 | | 15 | 36 | | 16 | 33 | | 17 | 12 | | 18 | 37 | | 19 | 6 | | 20 | 21 | | 21 | 12 | | 22 | 48 | | 23 | 14 | | 24 | 29 | | 25 | 12 | | 26 | 46 | | 27 | 14 | | 28 | 4 | | 29 | 40 | | 30 | 3 | | 31 | 47 | | 32 | 10 | | 33 | 37 | | 34 | 47 | | 35 | 1 | | 36 | 23 | | 37 | 17 | | 38 | 47 | | 39 | 20 | | 40 | 28 | | 41 | 26 | | 42 | 32 | | 43 | 17 | | 44 | 21 | | 45 | 29 | | 46 | 22 | | 47 | 17 | | 48 | 22 | | 49 | 51 |
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| 95.24% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 105 | | matches | | 0 | "was mentioned" | | 1 | "were gone" | | 2 | "was lost" |
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| 50.52% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 5 | | totalVerbs | 223 | | matches | | 0 | "was stirring" | | 1 | "was retreating" | | 2 | "were closing" | | 3 | "was narrowing" | | 4 | "were spinning" |
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| 49.18% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 122 | | ratio | 0.033 | | matches | | 0 | "It smelled of old parchment, copper, and something sharp—like vinegar and burnt sugar." | | 1 | "Tomás held up a small, polished white cylinder—a finger bone, perhaps—and dropped it into the gatekeeper’s hand." | | 2 | "She scanned the ground, her eyes catching a discard near a pile of rubble—a bleached, jagged fragment of something calcium-white." | | 3 | "The market fell deathly silent, every eye—human and otherwise—fixing on the woman who dared to bring the heat of the surface world into the cold heart of the Veil." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1381 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small, polished white cylinder—" |
| | adverbCount | 27 | | adverbRatio | 0.01955104996379435 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.005792903692976104 | |
| 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 | 13.15 | | std | 6.94 | | cv | 0.528 | | sampleLengths | | 0 | 20 | | 1 | 29 | | 2 | 9 | | 3 | 1 | | 4 | 11 | | 5 | 9 | | 6 | 14 | | 7 | 14 | | 8 | 16 | | 9 | 4 | | 10 | 27 | | 11 | 5 | | 12 | 11 | | 13 | 3 | | 14 | 5 | | 15 | 5 | | 16 | 24 | | 17 | 8 | | 18 | 9 | | 19 | 16 | | 20 | 17 | | 21 | 6 | | 22 | 19 | | 23 | 12 | | 24 | 24 | | 25 | 7 | | 26 | 13 | | 27 | 15 | | 28 | 18 | | 29 | 17 | | 30 | 9 | | 31 | 4 | | 32 | 12 | | 33 | 15 | | 34 | 13 | | 35 | 5 | | 36 | 7 | | 37 | 12 | | 38 | 9 | | 39 | 13 | | 40 | 16 | | 41 | 17 | | 42 | 7 | | 43 | 10 | | 44 | 2 | | 45 | 24 | | 46 | 17 | | 47 | 16 | | 48 | 9 | | 49 | 3 |
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| 34.30% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 19 | | diversityRatio | 0.23140495867768596 | | totalSentences | 121 | | uniqueOpeners | 28 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 103 | | matches | (empty) | | ratio | 0 | |
| 84.08% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 35 | | totalSentences | 103 | | matches | | 0 | "She adjusted the worn leather" | | 1 | "He hunched his shoulders, pulling" | | 2 | "He clutched a reinforced medical" | | 3 | "She didn't move until he" | | 4 | "She didn't let the rain-slicked" | | 5 | "He dived down a narrow" | | 6 | "She vaulted a sodden cardboard" | | 7 | "They tore through the city," | | 8 | "He scrambled over it with" | | 9 | "He sprinted toward the gaping" | | 10 | "He disappeared into the black." | | 11 | "It didn't carry the scent" | | 12 | "It smelled of old parchment," | | 13 | "She drew her torch, the" | | 14 | "Her voice echoed, flat and" | | 15 | "It wasn't Tomás." | | 16 | "He stood before a heavy" | | 17 | "He didn't speak." | | 18 | "He simply held out a" | | 19 | "Her hand moved toward her" |
| | ratio | 0.34 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 98 | | totalSentences | 103 | | matches | | 0 | "Rainwater sluiced off the distinctive" | | 1 | "Detective Harlow Quinn stood deep" | | 2 | "She adjusted the worn leather" | | 3 | "The military precision of her" | | 4 | "The heavy oak door of" | | 5 | "A sliver of warm, amber" | | 6 | "He hunched his shoulders, pulling" | | 7 | "He clutched a reinforced medical" | | 8 | "Quinn didn't call out." | | 9 | "She didn't move until he" | | 10 | "Tomás broke into a jog." | | 11 | "Quinn stepped out of the" | | 12 | "The chase began." | | 13 | "The shout didn't slow him." | | 14 | "Quinn kept her breathing even," | | 15 | "She didn't let the rain-slicked" | | 16 | "Tomás swerved between a pair" | | 17 | "He dived down a narrow" | | 18 | "Quinn followed, her sharp jaw" | | 19 | "She vaulted a sodden cardboard" |
| | ratio | 0.951 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 103 | | matches | | 0 | "If anything, the former paramedic" | | 1 | "To her left, a woman" | | 2 | "To her right, a man" |
| | ratio | 0.029 | |
| 39.34% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 69 | | technicalSentenceCount | 10 | | matches | | 0 | "He clutched a reinforced medical bag to his chest as if it contained his own heart." | | 1 | "She didn't move until he reached the corner and glanced back, his warm brown eyes flickering with a frantic energy that didn't match the quiet Soho night." | | 2 | "The stairs were cracked, draped in thick, grey cobwebs that didn't move despite the wind howling above." | | 3 | "Victorian brickwork, blackened by time, lined a corridor that shouldn't have existed on the official blueprints." | | 4 | "Quinn held her badge aloft, but the torchlight died as it hit the man’s skin, as if he absorbed the light." | | 5 | "In their place sat rows of stalls lit by flickering braziers that burned with purple and green flames." | | 6 | "The air hummed with a low-frequency vibration that made Quinn’s teeth ache." | | 7 | "He pointed toward a group of tall, hooded figures standing near a fountain that flowed with white sand." | | 8 | "She planted her feet, ignoring the hooded figures as they began to drift toward them, their feet making no sound on the stone floor." | | 9 | "The market fell deathly silent, every eye—human and otherwise—fixing on the woman who dared to bring the heat of the surface world into the cold heart of the Ve…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |