| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 1 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 86.52% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1113 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "sharply" | | 1 | "suddenly" | | 2 | "softly" |
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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) | |
| 37.11% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1113 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "rhythmic" | | 1 | "calculated" | | 2 | "flicker" | | 3 | "familiar" | | 4 | "silence" | | 5 | "weight" | | 6 | "comforting" | | 7 | "etched" | | 8 | "pulsed" | | 9 | "sense of" | | 10 | "predator" | | 11 | "scanning" |
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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 | 77 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 77 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 77 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 30 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1106 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 29 | | wordCount | 1105 | | uniqueNames | 15 | | maxNameDensity | 1 | | worstName | "Harlow" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Harlow" | | discoveredNames | | Soho | 2 | | Harlow | 11 | | Quinn | 1 | | Morris | 3 | | Met | 1 | | Raven | 1 | | Nest | 1 | | Camden | 2 | | London | 1 | | Glock | 1 | | Veil | 1 | | Market | 1 | | Tube | 1 | | Saint | 1 | | Christopher | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Morris" | | 3 | "Raven" | | 4 | "Saint" | | 5 | "Christopher" |
| | places | | 0 | "Soho" | | 1 | "Met" | | 2 | "Camden" | | 3 | "London" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 67 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1106 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 77 | | matches | (empty) | |
| 87.06% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 24 | | mean | 46.08 | | std | 20.95 | | cv | 0.455 | | sampleLengths | | 0 | 72 | | 1 | 52 | | 2 | 86 | | 3 | 71 | | 4 | 22 | | 5 | 56 | | 6 | 62 | | 7 | 43 | | 8 | 36 | | 9 | 68 | | 10 | 6 | | 11 | 39 | | 12 | 60 | | 13 | 11 | | 14 | 32 | | 15 | 44 | | 16 | 5 | | 17 | 61 | | 18 | 47 | | 19 | 55 | | 20 | 34 | | 21 | 59 | | 22 | 58 | | 23 | 27 |
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| 82.48% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 77 | | matches | | 0 | "were outdated" | | 1 | "were whispered" | | 2 | "were spaced" | | 3 | "been scrubbed" | | 4 | "been erased" | | 5 | "were buried" |
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| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 7 | | totalVerbs | 188 | | matches | | 0 | "was losing" | | 1 | "was running" | | 2 | "wasn’t just running" | | 3 | "was lying" | | 4 | "was suddenly drifting" | | 5 | "was weaving" | | 6 | "was polishing" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 4 | | flaggedSentences | 10 | | totalSentences | 77 | | ratio | 0.13 | | matches | | 0 | "The rain didn’t just fall in Soho; it hammered." | | 1 | "She didn’t run with the frantic energy of a rookie; she moved with a calculated, military precision, her boots striking the pavement in a steady cadence that refused to falter." | | 2 | "Forty yards ahead, the suspect—a gaunt man in a charcoal duster—was losing ground." | | 3 | "He wasn’t just running from a detective; he was running from something he feared." | | 4 | "Three years ago, DS Morris had vanished into a night exactly like this—wet, dark, and smelling of ozone and old exhaust." | | 5 | "They reached a dead end—a brick wall topped with rusted concertina wire." | | 6 | "It smelled of cinnamon, old parchment, and something metallic—like a copper coin resting on a tongue." | | 7 | "The \"clique\" she had been tracking—the shadow players who moved through London like ink in water—were here." | | 8 | "These weren't the homeless or the derelicts of Camden; these were things that wore human skin like poorly tailored suits." | | 9 | "In the world above, she was the predator—the decorated detective with the sharp jaw and the military bearing." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1116 | | adjectiveStacks | 1 | | stackExamples | | 0 | "sentient, pressing against her," |
| | adverbCount | 21 | | adverbRatio | 0.01881720430107527 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.007168458781362007 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 77 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 77 | | mean | 14.36 | | std | 7.21 | | cv | 0.502 | | sampleLengths | | 0 | 9 | | 1 | 17 | | 2 | 16 | | 3 | 30 | | 4 | 13 | | 5 | 25 | | 6 | 14 | | 7 | 3 | | 8 | 12 | | 9 | 21 | | 10 | 18 | | 11 | 13 | | 12 | 19 | | 13 | 16 | | 14 | 25 | | 15 | 8 | | 16 | 22 | | 17 | 10 | | 18 | 1 | | 19 | 11 | | 20 | 11 | | 21 | 21 | | 22 | 24 | | 23 | 12 | | 24 | 6 | | 25 | 4 | | 26 | 19 | | 27 | 21 | | 28 | 14 | | 29 | 19 | | 30 | 10 | | 31 | 9 | | 32 | 11 | | 33 | 16 | | 34 | 3 | | 35 | 4 | | 36 | 15 | | 37 | 14 | | 38 | 22 | | 39 | 10 | | 40 | 6 | | 41 | 22 | | 42 | 17 | | 43 | 8 | | 44 | 10 | | 45 | 25 | | 46 | 17 | | 47 | 5 | | 48 | 6 | | 49 | 26 |
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| 35.53% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.2894736842105263 | | totalSentences | 76 | | uniqueOpeners | 22 | |
| 43.86% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 76 | | matches | | 0 | "Instead, he stepped toward a" |
| | ratio | 0.013 | |
| 56.84% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 31 | | totalSentences | 76 | | matches | | 0 | "It turned the asphalt into" | | 1 | "She didn’t run with the" | | 2 | "He glanced back, his face" | | 3 | "He wasn’t just running from" | | 4 | "She felt the familiar, cold" | | 5 | "She knew the way the" | | 6 | "She had spent eighteen years" | | 7 | "She tracked the man’s silhouette" | | 8 | "She checked the worn leather" | | 9 | "He led her toward the" | | 10 | "They reached a dead end—a" | | 11 | "He didn't turn around." | | 12 | "He reached into his pocket," | | 13 | "It smelled of cinnamon, old" | | 14 | "She looked around." | | 15 | "She was alone, out of" | | 16 | "It was warm to the" | | 17 | "She stared into the abyss" | | 18 | "She thought of the unexplained" | | 19 | "She didn't call for backup." |
| | ratio | 0.408 | |
| 25.79% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 66 | | totalSentences | 76 | | matches | | 0 | "The rain didn’t just fall" | | 1 | "It turned the asphalt into" | | 2 | "Detective Harlow Quinn leaned into" | | 3 | "She didn’t run with the" | | 4 | "He glanced back, his face" | | 5 | "He wasn’t just running from" | | 6 | "Harlow’s jaw tightened." | | 7 | "She felt the familiar, cold" | | 8 | "The official report had cited" | | 9 | "She knew the way the" | | 10 | "She had spent eighteen years" | | 11 | "The suspect veered sharply right," | | 12 | "The bar was a known" | | 13 | "Harlow didn’t stop to look" | | 14 | "She tracked the man’s silhouette" | | 15 | "She checked the worn leather" | | 16 | "The city was dead, save" | | 17 | "The chase led her out" | | 18 | "The suspect was faster than" | | 19 | "He led her toward the" |
| | ratio | 0.868 | |
| 65.79% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 76 | | matches | | 0 | "If the answers were buried" |
| | ratio | 0.013 | |
| 64.94% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 55 | | technicalSentenceCount | 6 | | matches | | 0 | "She didn’t run with the frantic energy of a rookie; she moved with a calculated, military precision, her boots striking the pavement in a steady cadence that re…" | | 1 | "The grate slid aside with a guttural groan, revealing a concrete staircase that descended into a yawning black throat." | | 2 | "She thought of the unexplained circumstances of Morris's death, the way the case had been scrubbed by superiors who didn't want the truth to leak." | | 3 | "Harlow shifted her grip on her service weapon, the weight of the Glock a comforting anchor in a world that was suddenly drifting off its axis." | | 4 | "They traded in things that made Harlow’s skin crawl: jars of captured whispers, vials of shimmering silver liquid, and scrolls of skin etched with ink that puls…" | | 5 | "Harlow stepped out from the shadows and began to move, her boots clicking softly on the obsidian floor, closing the distance between the law and the impossible." |
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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 | |