| 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 | |
| 86.50% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1111 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "very" | | 1 | "slowly" | | 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) | |
| 27.99% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1111 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "treacherous" | | 1 | "footsteps" | | 2 | "calculated" | | 3 | "navigate" | | 4 | "warmth" | | 5 | "gloom" | | 6 | "silence" | | 7 | "rhythmic" | | 8 | "scanning" | | 9 | "echo" | | 10 | "footfall" | | 11 | "standard" | | 12 | "fragmented" | | 13 | "profound" | | 14 | "grave" |
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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 | 70 | | matches | (empty) | |
| 20.41% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 3 | | narrationSentences | 70 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 70 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 41 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1103 | | 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 | 24 | | wordCount | 1101 | | uniqueNames | 13 | | maxNameDensity | 0.82 | | worstName | "Quinn" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Quinn" | | discoveredNames | | London | 1 | | Soho | 2 | | Harlow | 1 | | Quinn | 9 | | Morris | 3 | | Raven | 1 | | Nest | 1 | | Camden | 1 | | Tube | 1 | | Veil | 1 | | Market | 1 | | Metropolitan | 1 | | Police | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Morris" | | 3 | "Raven" | | 4 | "Market" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 60 | | glossingSentenceCount | 1 | | matches | | 0 | "scroll that seemed to writhe in her hands" |
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| 18.68% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.813 | | wordCount | 1103 | | matches | | 0 | "not just the usual street thugs or lowlifes, but things" | | 1 | "not filled with the shock of a gunshot, but with the profound, paralyzing confusion of someone seeing so" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 70 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 22 | | mean | 50.14 | | std | 26.67 | | cv | 0.532 | | sampleLengths | | 0 | 67 | | 1 | 76 | | 2 | 85 | | 3 | 72 | | 4 | 18 | | 5 | 72 | | 6 | 27 | | 7 | 67 | | 8 | 57 | | 9 | 39 | | 10 | 10 | | 11 | 54 | | 12 | 109 | | 13 | 3 | | 14 | 49 | | 15 | 19 | | 16 | 68 | | 17 | 61 | | 18 | 14 | | 19 | 54 | | 20 | 29 | | 21 | 53 |
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| 85.21% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 70 | | matches | | 0 | "was replaced" | | 1 | "been erected" | | 2 | "been transformed" | | 3 | "was gone" |
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| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 7 | | totalVerbs | 166 | | matches | | 0 | "was running" | | 1 | "wasn't just running" | | 2 | "was gaining" | | 3 | "were actively pushing" | | 4 | "was sprinting" | | 5 | "were still ticking" | | 6 | "was missing" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 4 | | flaggedSentences | 11 | | totalSentences | 70 | | ratio | 0.157 | | matches | | 0 | "The London rain didn't wash the grime from the Soho streets; it merely turned it into a treacherous, obsidian sludge." | | 1 | "She didn't gasp; she didn't pant." | | 2 | "Ahead, the silhouette of the suspect—a jittery, mid-level runner for the clique—veered around a corner, his footsteps splashing unevenly against the cobblestones." | | 3 | "He wasn't just running from the law; he was running from something else." | | 4 | "It was the kind of night that reminded her too much of the night DS Morris died—the same suffocating humidity, the same sense that the darkness between the buildings was thick enough to swallow a person whole." | | 5 | "The scent of ozone and wet asphalt vanished, replaced by something cloying and ancient—the smell of dust, dried herbs, and something metallic, like old blood on a copper coin." | | 6 | "Her military precision dictated a tactical approach—low center of gravity, eyes scanning for corners, listening for the echo of a footfall." | | 7 | "She saw figures moving through the gloom—not just the usual street thugs or lowlifes, but things that moved with an unsettling, predatory fluidity." | | 8 | "She saw a man in a heavy cloak hovering over a table of shimmering, iridescent powders; she saw a woman with eyes that caught the light like a cat's, haggling over a scroll that seemed to writhe in her hands." | | 9 | "She thought of the way his eyes had looked in those final moments—not filled with the shock of a gunshot, but with the profound, paralyzing confusion of someone seeing something that defied the very fabric of reality." | | 10 | "A scent drifted toward her from the darkness—something sweet and rotting, like jasmine crushed over a grave." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1111 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 28 | | adverbRatio | 0.025202520252025202 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.009000900090009001 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 70 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 70 | | mean | 15.76 | | std | 9.03 | | cv | 0.573 | | sampleLengths | | 0 | 20 | | 1 | 18 | | 2 | 6 | | 3 | 23 | | 4 | 5 | | 5 | 21 | | 6 | 22 | | 7 | 15 | | 8 | 13 | | 9 | 13 | | 10 | 17 | | 11 | 18 | | 12 | 37 | | 13 | 29 | | 14 | 11 | | 15 | 13 | | 16 | 19 | | 17 | 3 | | 18 | 15 | | 19 | 10 | | 20 | 29 | | 21 | 4 | | 22 | 29 | | 23 | 16 | | 24 | 11 | | 25 | 10 | | 26 | 21 | | 27 | 8 | | 28 | 28 | | 29 | 9 | | 30 | 17 | | 31 | 6 | | 32 | 12 | | 33 | 13 | | 34 | 17 | | 35 | 22 | | 36 | 2 | | 37 | 6 | | 38 | 2 | | 39 | 19 | | 40 | 14 | | 41 | 6 | | 42 | 15 | | 43 | 6 | | 44 | 24 | | 45 | 16 | | 46 | 23 | | 47 | 40 | | 48 | 3 | | 49 | 22 |
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| 34.29% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.2571428571428571 | | totalSentences | 70 | | uniqueOpeners | 18 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 68 | | matches | | 0 | "Instead, he dove toward a" | | 1 | "Instead, he reached into his" | | 2 | "Instead, she stepped out from" |
| | ratio | 0.044 | |
| 43.53% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 30 | | totalSentences | 68 | | matches | | 0 | "She didn't gasp; she didn't" | | 1 | "She checked her left wrist." | | 2 | "He was frantic, his movements" | | 3 | "He wasn't just running from" | | 4 | "Her sharp jaw set, her" | | 5 | "It was the kind of" | | 6 | "He didn't head for the" | | 7 | "She rounded the corner just" | | 8 | "It sounded thin, swallowed by" | | 9 | "She descended the stairs, her" | | 10 | "Her military precision dictated a" | | 11 | "She saw him again, fifty" | | 12 | "He was sprinting toward a" | | 13 | "He didn't stop at the" | | 14 | "He pressed the object into" | | 15 | "She stayed in the shadows" | | 16 | "She watched the suspect vanish" | | 17 | "It was a labyrinth of" | | 18 | "She saw figures moving through" | | 19 | "She saw a man in" |
| | ratio | 0.441 | |
| 48.24% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 56 | | totalSentences | 68 | | matches | | 0 | "The London rain didn't wash" | | 1 | "Detective Harlow Quinn pressed her" | | 2 | "She didn't gasp; she didn't" | | 3 | "She checked her left wrist." | | 4 | "The worn leather strap of" | | 5 | "He was frantic, his movements" | | 6 | "He wasn't just running from" | | 7 | "Quinn pushed off the wall," | | 8 | "Her sharp jaw set, her" | | 9 | "The streetlights cast long, distorted" | | 10 | "It was the kind of" | | 11 | "The chase pulled them away" | | 12 | "The suspect was gaining momentum," | | 13 | "He didn't head for the" | | 14 | "Quinn didn't hesitate." | | 15 | "She rounded the corner just" | | 16 | "The transition from the street" | | 17 | "The roar of the rain" | | 18 | "The air changed too." | | 19 | "The scent of ozone and" |
| | ratio | 0.824 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 4 | | totalSentences | 68 | | matches | | 0 | "Even after six blocks of" | | 1 | "Even from this distance, Quinn" | | 2 | "To step through those gates" | | 3 | "If she stayed here, in" |
| | ratio | 0.059 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 50 | | technicalSentenceCount | 10 | | matches | | 0 | "The streetlights cast long, distorted shadows that danced in the puddles, making the world feel fluid and unreliable." | | 1 | "It was the kind of night that reminded her too much of the night DS Morris died—the same suffocating humidity, the same sense that the darkness between the buil…" | | 2 | "The walls seemed to lean inward, and the dim, flickering light from a single, overhead bulb felt insufficient, as if the darkness were actively pushing back aga…" | | 3 | "He was sprinting toward a set of heavy, makeshift gates that had been erected across the tracks." | | 4 | "She watched the suspect vanish into a sprawling, subterranean expanse that shouldn't have existed." | | 5 | "It was a labyrinth of makeshift stalls and draped tapestries, illuminated by the sickly, shifting glow of lanterns that didn't seem to use oil." | | 6 | "She saw figures moving through the gloom—not just the usual street thugs or lowlifes, but things that moved with an unsettling, predatory fluidity." | | 7 | "She saw a man in a heavy cloak hovering over a table of shimmering, iridescent powders; she saw a woman with eyes that caught the light like a cat's, haggling o…" | | 8 | "She thought of the way his eyes had looked in those final moments—not filled with the shock of a gunshot, but with the profound, paralyzing confusion of someone…" | | 9 | "Instead, she stepped out from behind the pillar, her boots clicking softly against the grit of the platform as she moved toward the gates, heading straight into…" |
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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 | |