| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 33 | | tagDensity | 0.273 | | leniency | 0.545 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 89.58% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1440 | | totalAiIsmAdverbs | 3 | | 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) | |
| 44.44% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1440 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "beacon" | | 1 | "measured" | | 2 | "glint" | | 3 | "flicked" | | 4 | "footsteps" | | 5 | "echoed" | | 6 | "flicker" | | 7 | "electric" | | 8 | "scanning" | | 9 | "velvet" | | 10 | "flickered" | | 11 | "fluttered" | | 12 | "pulse" | | 13 | "trembled" |
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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 | 137 | | matches | (empty) | |
| 90.72% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 3 | | narrationSentences | 137 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 160 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 34 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 7 | | markdownWords | 18 | | totalWords | 1425 | | ratio | 0.013 | | matches | | 0 | "The Raven’s Nest" | | 1 | "Smart move, Detective. Follow a suspect into a fairy tale." | | 2 | "really" | | 3 | "taken" | | 4 | "taken" | | 5 | "wrong" | | 6 | "laughed" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 28 | | wordCount | 1244 | | uniqueNames | 12 | | maxNameDensity | 0.88 | | worstName | "Harlow" | | maxWindowNameDensity | 2 | | worstWindowName | "Tomás" | | discoveredNames | | Harlow | 11 | | Quinn | 2 | | Soho | 1 | | Raven | 1 | | London | 2 | | Detective | 1 | | Veil | 1 | | Market | 1 | | Tube | 1 | | Morris | 2 | | Herrera | 1 | | Tomás | 4 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Raven" | | 3 | "Morris" | | 4 | "Herrera" | | 5 | "Tomás" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 80.56% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 72 | | glossingSentenceCount | 2 | | matches | | 0 | "smelled like cinnamon and decay" | | 1 | "looked like taxidermied rats wearing tiny" |
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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 | 1425 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 160 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 50 | | mean | 28.5 | | std | 20.12 | | cv | 0.706 | | sampleLengths | | 0 | 51 | | 1 | 65 | | 2 | 46 | | 3 | 60 | | 4 | 52 | | 5 | 67 | | 6 | 10 | | 7 | 37 | | 8 | 32 | | 9 | 68 | | 10 | 68 | | 11 | 28 | | 12 | 7 | | 13 | 14 | | 14 | 51 | | 15 | 48 | | 16 | 14 | | 17 | 17 | | 18 | 34 | | 19 | 5 | | 20 | 17 | | 21 | 7 | | 22 | 35 | | 23 | 8 | | 24 | 28 | | 25 | 56 | | 26 | 4 | | 27 | 17 | | 28 | 11 | | 29 | 5 | | 30 | 45 | | 31 | 43 | | 32 | 44 | | 33 | 40 | | 34 | 6 | | 35 | 8 | | 36 | 17 | | 37 | 52 | | 38 | 8 | | 39 | 30 | | 40 | 8 | | 41 | 29 | | 42 | 28 | | 43 | 13 | | 44 | 40 | | 45 | 5 | | 46 | 4 | | 47 | 25 | | 48 | 5 | | 49 | 13 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 137 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 218 | | matches | | |
| 17.86% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 160 | | ratio | 0.044 | | matches | | 0 | "Rain sluiced down her face, turning the neon glow of Soho’s signs into smears of colour—red, blue, the sickly green of *The Raven’s Nest* flickering ahead like a beacon." | | 1 | "The suspect—tall, lean, moving like he’d been born in the dark—ducked left into an alley so narrow the buildings seemed to lean in, conspiring." | | 2 | "The beam cut through the dark, illuminating graffiti that wasn’t graffiti—symbols carved into the stone, worn smooth by time or too many hands." | | 3 | "Then—movement." | | 4 | "She’d spent three years telling herself Morris had run, had cracked under the pressure, had done anything but what the evidence suggested—that he’d walked into a dead-end alley and never walked out." | | 5 | "Then—light." | | 6 | "The bullet hit the creature—not Tomás, not anymore—and passed straight through, embedding itself in the wall behind." |
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| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1259 | | adjectiveStacks | 2 | | stackExamples | | 0 | "suspect—tall, lean, moving like" | | 1 | "large, leather-bound book." |
| | adverbCount | 43 | | adverbRatio | 0.03415409054805401 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.006354249404289118 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 160 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 160 | | mean | 8.91 | | std | 7.02 | | cv | 0.788 | | sampleLengths | | 0 | 15 | | 1 | 4 | | 2 | 29 | | 3 | 3 | | 4 | 5 | | 5 | 17 | | 6 | 24 | | 7 | 10 | | 8 | 5 | | 9 | 4 | | 10 | 18 | | 11 | 12 | | 12 | 3 | | 13 | 1 | | 14 | 12 | | 15 | 2 | | 16 | 3 | | 17 | 22 | | 18 | 3 | | 19 | 16 | | 20 | 14 | | 21 | 3 | | 22 | 4 | | 23 | 22 | | 24 | 3 | | 25 | 2 | | 26 | 2 | | 27 | 16 | | 28 | 11 | | 29 | 24 | | 30 | 3 | | 31 | 13 | | 32 | 16 | | 33 | 3 | | 34 | 7 | | 35 | 5 | | 36 | 23 | | 37 | 7 | | 38 | 2 | | 39 | 10 | | 40 | 3 | | 41 | 2 | | 42 | 17 | | 43 | 18 | | 44 | 24 | | 45 | 10 | | 46 | 3 | | 47 | 13 | | 48 | 6 | | 49 | 5 |
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| 48.75% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.3375 | | totalSentences | 160 | | uniqueOpeners | 54 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 119 | | matches | | 0 | "Just for a second." | | 1 | "Then he was gone again," | | 2 | "Too many hoods." | | 3 | "Too many shadows." | | 4 | "Then the lights went out." |
| | ratio | 0.042 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 34 | | totalSentences | 119 | | matches | | 0 | "She didn’t break stride." | | 1 | "Her breath came even, measured." | | 2 | "She followed, fingers brushing the" | | 3 | "She rounded the corner just" | | 4 | "She planted her foot on" | | 5 | "Her landing jarred her teeth," | | 6 | "He glanced back." | | 7 | "She flicked on her torch." | | 8 | "She followed, her hand resting" | | 9 | "She lost him near a" | | 10 | "She pushed through." | | 11 | "His eyes were entirely black." | | 12 | "he said, voice like oil" | | 13 | "She didn’t reach for her" | | 14 | "He pushed the token across" | | 15 | "She didn’t touch it." | | 16 | "His gaze dropped to her" | | 17 | "Her fingers twitched." | | 18 | "He leaned forward" | | 19 | "She’d spent three years telling" |
| | ratio | 0.286 | |
| 48.24% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 98 | | totalSentences | 119 | | matches | | 0 | "The pavement spat water as" | | 1 | "She didn’t break stride." | | 2 | "Rain sluiced down her face," | | 3 | "Her breath came even, measured." | | 4 | "The suspect—tall, lean, moving like" | | 5 | "She followed, fingers brushing the" | | 6 | "The alley stank of damp" | | 7 | "This was different." | | 8 | "The kind of smell that" | | 9 | "Metal on concrete." | | 10 | "She rounded the corner just" | | 11 | "Harlow didn’t hesitate." | | 12 | "She planted her foot on" | | 13 | "Her landing jarred her teeth," | | 14 | "He glanced back." | | 15 | "Harlow skidded to a stop" | | 16 | "The air here was colder," | | 17 | "A bone token." | | 18 | "That’s what they called them" | | 19 | "The kind of thing that" |
| | ratio | 0.824 | |
| 42.02% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 119 | | matches | | 0 | "Because why chase a criminal" |
| | ratio | 0.008 | |
| 74.18% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 52 | | technicalSentenceCount | 5 | | matches | | 0 | "Rain sluiced down her face, turning the neon glow of Soho’s signs into smears of colour—red, blue, the sickly green of *The Raven’s Nest* flickering ahead like …" | | 1 | "The alley stank of damp stone and something older, something that made the hairs on her arms prickle." | | 2 | "The kind of smell that clung to the back of your throat." | | 3 | "The beam cut through the dark, illuminating graffiti that wasn’t graffiti—symbols carved into the stone, worn smooth by time or too many hands." | | 4 | "A cavern opened before her, the walls lined with shelves of jars, each one filled with something that moved in the dim glow of candles." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 33 | | tagDensity | 0.091 | | leniency | 0.182 | | rawRatio | 0 | | effectiveRatio | 0 | |