| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 4 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1761 | | 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) | |
| 71.61% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1761 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "fractured" | | 1 | "gleaming" | | 2 | "could feel" | | 3 | "loomed" | | 4 | "stomach" | | 5 | "pulse" | | 6 | "footsteps" | | 7 | "throbbed" | | 8 | "weight" |
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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 | 0 | | narrationSentences | 142 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 142 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 145 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 40 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1757 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 97.83% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 57 | | wordCount | 1725 | | uniqueNames | 16 | | maxNameDensity | 1.04 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | Soho | 1 | | Harlow | 1 | | Quinn | 18 | | Met | 1 | | Tomás | 2 | | Herrera | 15 | | Saint | 1 | | Christopher | 1 | | Raven | 1 | | Nest | 3 | | Morris | 3 | | Tube | 1 | | Camden | 2 | | Veil | 2 | | Market | 2 | | Warm | 3 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Met" | | 3 | "Tomás" | | 4 | "Herrera" | | 5 | "Saint" | | 6 | "Christopher" | | 7 | "Raven" | | 8 | "Nest" | | 9 | "Morris" | | 10 | "Market" | | 11 | "Warm" |
| | places | | | globalScore | 0.978 | | windowScore | 1 | |
| 22.45% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 98 | | glossingSentenceCount | 5 | | matches | | 0 | "not quite fear" | | 1 | "seemed louder as if the city itself were holding its breath" | | 2 | "looked like solid brick simply folded inw" | | 3 | "looked like pale leather" | | 4 | "something like regret" |
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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 | 1757 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 145 | | matches | (empty) | |
| 80.02% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 22 | | mean | 79.86 | | std | 34.35 | | cv | 0.43 | | sampleLengths | | 0 | 90 | | 1 | 107 | | 2 | 4 | | 3 | 105 | | 4 | 120 | | 5 | 102 | | 6 | 112 | | 7 | 120 | | 8 | 86 | | 9 | 91 | | 10 | 92 | | 11 | 89 | | 12 | 91 | | 13 | 22 | | 14 | 54 | | 15 | 20 | | 16 | 89 | | 17 | 8 | | 18 | 77 | | 19 | 101 | | 20 | 91 | | 21 | 86 |
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| 90.44% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 6 | | totalSentences | 142 | | matches | | 0 | "was plastered" | | 1 | "was gone" | | 2 | "been peeled" | | 3 | "been taught" | | 4 | "been made" | | 5 | "been left" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 282 | | matches | | 0 | "were holding" | | 1 | "was running" | | 2 | "was running" |
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| 44.33% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 3 | | flaggedSentences | 5 | | totalSentences | 145 | | ratio | 0.034 | | matches | | 0 | "Her closely cropped salt-and-pepper hair was plastered to her skull; droplets clung to her sharp jaw and ran into the collar of her coat." | | 1 | "Camden was a maze of one-ways and dead ends at the best of times; in this downpour it became a living thing that swallowed sound and spit it back distorted." | | 2 | "Her left boot slipped on a patch of oil rainbowed across a puddle; she caught herself with a curse that tasted of copper." | | 3 | "He produced something small and pale from his pocket—a token the size of a coin, carved from bone—and pressed it against a rusted turnstile that should not have moved." | | 4 | "The abandoned station beneath Camden was not on any official map, and the thing that lived down there—the Veil Market—moved with the full moon like a parasite changing hosts." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1737 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 62 | | adverbRatio | 0.035693724812895795 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.0034542314335060447 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 145 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 145 | | mean | 12.12 | | std | 8.2 | | cv | 0.677 | | sampleLengths | | 0 | 26 | | 1 | 16 | | 2 | 24 | | 3 | 4 | | 4 | 20 | | 5 | 17 | | 6 | 20 | | 7 | 19 | | 8 | 38 | | 9 | 13 | | 10 | 4 | | 11 | 8 | | 12 | 4 | | 13 | 3 | | 14 | 24 | | 15 | 24 | | 16 | 23 | | 17 | 7 | | 18 | 12 | | 19 | 16 | | 20 | 8 | | 21 | 18 | | 22 | 2 | | 23 | 30 | | 24 | 32 | | 25 | 2 | | 26 | 7 | | 27 | 5 | | 28 | 3 | | 29 | 19 | | 30 | 2 | | 31 | 2 | | 32 | 17 | | 33 | 3 | | 34 | 21 | | 35 | 23 | | 36 | 7 | | 37 | 5 | | 38 | 16 | | 39 | 12 | | 40 | 9 | | 41 | 13 | | 42 | 21 | | 43 | 4 | | 44 | 2 | | 45 | 25 | | 46 | 10 | | 47 | 15 | | 48 | 17 | | 49 | 14 |
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| 55.63% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.3793103448275862 | | totalSentences | 145 | | uniqueOpeners | 55 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 131 | | matches | | 0 | "Then he was gone again," | | 1 | "Of course it didn’t." | | 2 | "Then she thought of the" | | 3 | "Somewhere ahead, Tomás Herrera was" | | 4 | "Then he turned and vanished" |
| | ratio | 0.038 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 36 | | totalSentences | 131 | | matches | | 0 | "Her closely cropped salt-and-pepper hair" | | 1 | "She never broke stride." | | 2 | "She had spotted him leaving" | | 3 | "He had looked over his" | | 4 | "Her voice bounced off wet" | | 5 | "He did not stop." | | 6 | "He never did." | | 7 | "She could feel the old" | | 8 | "She had never believed it." | | 9 | "She was forty-one and still" | | 10 | "Her left boot slipped on" | | 11 | "They crossed the canal bridge" | | 12 | "She could hear his breathing" | | 13 | "She did not lunge." | | 14 | "She wanted the destination more" | | 15 | "She knew the stories." | | 16 | "He produced something small and" | | 17 | "Her hand hovered over the" | | 18 | "She had heard the briefings," | | 19 | "She had none." |
| | ratio | 0.275 | |
| 43.97% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 109 | | totalSentences | 131 | | matches | | 0 | "Rain sheeted down in gray" | | 1 | "Detective Harlow Quinn’s boots hammered" | | 2 | "Her closely cropped salt-and-pepper hair" | | 3 | "She never broke stride." | | 4 | "The Saint Christopher medallion around" | | 5 | "Quinn’s worn leather watch caught" | | 6 | "She had spotted him leaving" | | 7 | "He had looked over his" | | 8 | "Her voice bounced off wet" | | 9 | "He did not stop." | | 10 | "He never did." | | 11 | "The former paramedic moved with" | | 12 | "Quinn’s brown eyes tracked the" | | 13 | "Knife work, she remembered from" | | 14 | "The kind that left a" | | 15 | "The alley spat them out" | | 16 | "Herrera vaulted a low railing" | | 17 | "Quinn followed, one hand on" | | 18 | "Camden was a maze of" | | 19 | "She could feel the old" |
| | ratio | 0.832 | |
| 38.17% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 131 | | matches | | | ratio | 0.008 | |
| 67.67% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 76 | | technicalSentenceCount | 8 | | matches | | 0 | "The former paramedic moved with the economical grace of someone who had once sprinted through A&E corridors with a dying patient on a gurney." | | 1 | "Camden was a maze of one-ways and dead ends at the best of times; in this downpour it became a living thing that swallowed sound and spit it back distorted." | | 2 | "He produced something small and pale from his pocket—a token the size of a coin, carved from bone—and pressed it against a rusted turnstile that should not have…" | | 3 | "A section of wall that looked like solid brick simply folded inward, revealing a stairwell that descended into a throat of darkness." | | 4 | "The abandoned station beneath Camden was not on any official map, and the thing that lived down there—the Veil Market—moved with the full moon like a parasite c…" | | 5 | "Military precision warred with the knowledge that going down those stairs alone was the kind of decision that ended careers, or lives." | | 6 | "She thought of Herrera’s scar and the medallion that had not protected him from whatever he was running toward." | | 7 | "The air grew thicker with each step, heavy with the murmur of voices that did not sound entirely human and the clink of glass on glass." |
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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 | | totalTags | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 4 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 0 | | effectiveRatio | 0 | |