| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 15 | | tagDensity | 0.4 | | leniency | 0.8 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 92.40% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1315 | | totalAiIsmAdverbs | 2 | | 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) | |
| 27.76% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1315 | | totalAiIsms | 19 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | |
| | highlights | | 0 | "whisper" | | 1 | "footsteps" | | 2 | "echoed" | | 3 | "pulsed" | | 4 | "flickered" | | 5 | "echoing" | | 6 | "maw" | | 7 | "vibrated" | | 8 | "pristine" | | 9 | "chaotic" | | 10 | "gloom" | | 11 | "grave" | | 12 | "tapestry" | | 13 | "sentinel" | | 14 | "comforting" | | 15 | "silence" | | 16 | "determined" | | 17 | "stark" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "let out a breath" | | count | 1 |
|
| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 2 | | narrationSentences | 107 | | matches | | 0 | "e with fear" | | 1 | "was afraid" |
| |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 107 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 115 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 30 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1306 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 80.56% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 42 | | wordCount | 1152 | | uniqueNames | 18 | | maxNameDensity | 1.39 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | London | 1 | | Soho | 1 | | Harlow | 1 | | Quinn | 16 | | Raven | 1 | | Nest | 1 | | Morris | 4 | | Sauer | 1 | | Camden | 2 | | Euston | 1 | | Road | 1 | | Tube | 1 | | Veil | 1 | | Market | 1 | | Spain | 1 | | Saint | 1 | | Christopher | 1 | | Herrera | 6 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Morris" | | 3 | "Market" | | 4 | "Saint" | | 5 | "Christopher" | | 6 | "Herrera" |
| | places | | 0 | "London" | | 1 | "Soho" | | 2 | "Raven" | | 3 | "Camden" | | 4 | "Euston" | | 5 | "Road" | | 6 | "Spain" |
| | globalScore | 0.806 | | windowScore | 0.833 | |
| 89.02% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 82 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like a maintenance hatch, but it w" | | 1 | "felt like a grave" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1306 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 115 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 30 | | mean | 43.53 | | std | 24.14 | | cv | 0.555 | | sampleLengths | | 0 | 92 | | 1 | 47 | | 2 | 12 | | 3 | 63 | | 4 | 50 | | 5 | 55 | | 6 | 9 | | 7 | 74 | | 8 | 56 | | 9 | 51 | | 10 | 61 | | 11 | 7 | | 12 | 74 | | 13 | 16 | | 14 | 1 | | 15 | 71 | | 16 | 33 | | 17 | 50 | | 18 | 2 | | 19 | 42 | | 20 | 59 | | 21 | 61 | | 22 | 12 | | 23 | 41 | | 24 | 20 | | 25 | 47 | | 26 | 72 | | 27 | 56 | | 28 | 24 | | 29 | 48 |
| |
| 85.59% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 6 | | totalSentences | 107 | | matches | | 0 | "was overridden" | | 1 | "was gone" | | 2 | "was plunged" | | 3 | "was gone" | | 4 | "been taken" | | 5 | "been laid" |
| |
| 41.27% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 168 | | matches | | 0 | "were heading" | | 1 | "weren’t just running" | | 2 | "were leading" | | 3 | "was vanishing" |
| |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 1 | | flaggedSentences | 7 | | totalSentences | 115 | | ratio | 0.061 | | matches | | 0 | "The suspect—a wiry figure in a dark hoodie—had bolted from The Raven’s Nest twenty seconds ago." | | 1 | "The tunnel’s usual smell of urine and stale beer was overridden by a sharp, metallic tang—ozone and copper." | | 2 | "A small, yellowed object—a token carved from bone." | | 3 | "The sound of the city—the distant traffic, the rain—was gone." | | 4 | "Herrera’s warning wasn’t a threat; it was a fact, delivered with the blunt efficiency of a medic telling a family the worst." | | 5 | "The ghoul—the suspect—was in there, a thread leading into a tapestry of shadows and monsters." | | 6 | "The rain-slicked streets, the rules of evidence, the comforting solidity of the police station—all of it felt a million miles away, a memory from another life." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1169 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 16 | | adverbRatio | 0.013686911890504704 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.007698887938408896 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 115 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 115 | | mean | 11.36 | | std | 7.01 | | cv | 0.617 | | sampleLengths | | 0 | 17 | | 1 | 29 | | 2 | 16 | | 3 | 27 | | 4 | 3 | | 5 | 12 | | 6 | 6 | | 7 | 7 | | 8 | 14 | | 9 | 4 | | 10 | 4 | | 11 | 12 | | 12 | 12 | | 13 | 16 | | 14 | 8 | | 15 | 5 | | 16 | 22 | | 17 | 21 | | 18 | 9 | | 19 | 6 | | 20 | 14 | | 21 | 19 | | 22 | 5 | | 23 | 18 | | 24 | 6 | | 25 | 7 | | 26 | 4 | | 27 | 5 | | 28 | 15 | | 29 | 1 | | 30 | 11 | | 31 | 19 | | 32 | 9 | | 33 | 5 | | 34 | 14 | | 35 | 27 | | 36 | 10 | | 37 | 2 | | 38 | 9 | | 39 | 8 | | 40 | 10 | | 41 | 21 | | 42 | 20 | | 43 | 3 | | 44 | 17 | | 45 | 14 | | 46 | 4 | | 47 | 23 | | 48 | 7 | | 49 | 8 |
| |
| 33.04% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 22 | | diversityRatio | 0.3130434782608696 | | totalSentences | 115 | | uniqueOpeners | 36 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 99 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 24 | | totalSentences | 99 | | matches | | 0 | "She pushed off the wall," | | 1 | "Her shoes slapped against the" | | 2 | "They weren’t a fighter." | | 3 | "They were a runner." | | 4 | "They scrambled up a stack" | | 5 | "They were heading north, toward" | | 6 | "They weren’t just running." | | 7 | "They were leading her somewhere." | | 8 | "Her torch beam cut through" | | 9 | "It looked like a maintenance" | | 10 | "They slammed it into a" | | 11 | "She caught a glimpse of" | | 12 | "His short, curly hair was" | | 13 | "He held his hands up," | | 14 | "She’d seen his face in" | | 15 | "He took a half-step toward" | | 16 | "She looked at the door." | | 17 | "It was almost shut, a" | | 18 | "It meant walking into the" | | 19 | "He was afraid of what" |
| | ratio | 0.242 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 93 | | totalSentences | 99 | | matches | | 0 | "Detective Harlow Quinn’s worn leather" | | 1 | "The suspect—a wiry figure in" | | 2 | "Quinn had been watching the" | | 3 | "This was it." | | 4 | "She pushed off the wall," | | 5 | "Military precision cut through the" | | 6 | "Her shoes slapped against the" | | 7 | "The suspect glanced back, a" | | 8 | "They weren’t a fighter." | | 9 | "They were a runner." | | 10 | "Quinn’s voice was a gravelly" | | 11 | "The suspect veered left, down" | | 12 | "Quinn rounded the corner, her" | | 13 | "The alley dead-ended at a" | | 14 | "They scrambled up a stack" | | 15 | "Quinn was over the fence" | | 16 | "The suspect’s footsteps echoed, frantic," | | 17 | "They were heading north, toward" | | 18 | "A gap in a row" | | 19 | "Quinn plunged in after them." |
| | ratio | 0.939 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 99 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 51 | | technicalSentenceCount | 3 | | matches | | 0 | "The underground market that moved every full moon, requiring a bone token for entry." | | 1 | "Quinn spun, wrenching her arm free, her hand dropping to her weapon." | | 2 | "The memory of Morris’s face, frozen in a rictus of shock that wasn’t from any bullet, flashed behind her eyes." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 2 | | matches | | 0 | "Quinn said, her voice flat" | | 1 | "He took, his voice dropping" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 15 | | tagDensity | 0.2 | | leniency | 0.4 | | rawRatio | 0 | | effectiveRatio | 0 | |