| 46.15% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 1 | | adverbTags | | 0 | "silk wrapped around [around]" |
| | dialogueSentences | 13 | | tagDensity | 0.231 | | leniency | 0.462 | | rawRatio | 0.333 | | effectiveRatio | 0.154 | |
| 89.87% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 987 | | 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) | |
| 54.41% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 987 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "treacherous" | | 1 | "footsteps" | | 2 | "echoing" | | 3 | "flickered" | | 4 | "dancing" | | 5 | "scanned" | | 6 | "silk" | | 7 | "familiar" |
| |
| 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 | 87 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 87 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 97 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 42 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 985 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 0 | | matches | (empty) | |
| 62.69% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 21 | | wordCount | 859 | | uniqueNames | 7 | | maxNameDensity | 1.75 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 15 | | Soho | 1 | | Victorian | 1 | | Veil | 1 | | Market | 1 | | Morris | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Victorian" | | 3 | "Morris" |
| | places | | | globalScore | 0.627 | | windowScore | 0.833 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 63 | | glossingSentenceCount | 4 | | matches | | 0 | "looked like an abandoned shop" | | 1 | "as if listening for something" | | 2 | "voices that seemed to come from everywhere and nowhere at once" | | 3 | "looked like human skin" |
| |
| 98.48% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.015 | | wordCount | 985 | | matches | | 0 | "Not the controlled retreat from before, but a full sprint into the darkness" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 97 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 37 | | mean | 26.62 | | std | 15.62 | | cv | 0.587 | | sampleLengths | | 0 | 52 | | 1 | 3 | | 2 | 41 | | 3 | 23 | | 4 | 45 | | 5 | 20 | | 6 | 60 | | 7 | 6 | | 8 | 33 | | 9 | 38 | | 10 | 31 | | 11 | 10 | | 12 | 23 | | 13 | 19 | | 14 | 14 | | 15 | 9 | | 16 | 47 | | 17 | 17 | | 18 | 24 | | 19 | 16 | | 20 | 42 | | 21 | 23 | | 22 | 13 | | 23 | 10 | | 24 | 9 | | 25 | 22 | | 26 | 54 | | 27 | 8 | | 28 | 53 | | 29 | 41 | | 30 | 35 | | 31 | 32 | | 32 | 35 | | 33 | 24 | | 34 | 37 | | 35 | 12 | | 36 | 4 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 87 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 151 | | matches | | |
| 83.95% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 97 | | ratio | 0.021 | | matches | | 0 | "Quinn had seen that look before—cornered animal, ready to do something stupid." | | 1 | "The blue glow grew stronger, and with it came sounds—a low hum, the clink of metal, voices that seemed to come from everywhere and nowhere at once." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 865 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 31 | | adverbRatio | 0.035838150289017344 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.010404624277456647 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 97 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 97 | | mean | 10.15 | | std | 6.83 | | cv | 0.673 | | sampleLengths | | 0 | 18 | | 1 | 19 | | 2 | 15 | | 3 | 3 | | 4 | 4 | | 5 | 20 | | 6 | 17 | | 7 | 4 | | 8 | 7 | | 9 | 12 | | 10 | 6 | | 11 | 9 | | 12 | 15 | | 13 | 15 | | 14 | 15 | | 15 | 5 | | 16 | 9 | | 17 | 7 | | 18 | 27 | | 19 | 17 | | 20 | 6 | | 21 | 12 | | 22 | 5 | | 23 | 16 | | 24 | 9 | | 25 | 17 | | 26 | 12 | | 27 | 7 | | 28 | 13 | | 29 | 11 | | 30 | 3 | | 31 | 7 | | 32 | 7 | | 33 | 2 | | 34 | 14 | | 35 | 13 | | 36 | 6 | | 37 | 3 | | 38 | 3 | | 39 | 8 | | 40 | 9 | | 41 | 5 | | 42 | 5 | | 43 | 2 | | 44 | 2 | | 45 | 33 | | 46 | 10 | | 47 | 7 | | 48 | 19 | | 49 | 5 |
| |
| 58.42% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.41237113402061853 | | totalSentences | 97 | | uniqueOpeners | 40 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 83 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 15 | | totalSentences | 83 | | matches | | 0 | "They cut left into an" | | 1 | "Her feet slid on the" | | 2 | "She'd been a copper for" | | 3 | "She knew when something felt" | | 4 | "They'd led her through a" | | 5 | "She stepped through the doorway" | | 6 | "She took a step forward." | | 7 | "They were leading her deeper," | | 8 | "Her teeth ground together." | | 9 | "She caught glimpses of the" | | 10 | "She burst through another doorway" | | 11 | "They all turned to look" | | 12 | "She'd heard whispers about it" | | 13 | "She could still catch them." | | 14 | "Her voice was silk wrapped" |
| | ratio | 0.181 | |
| 44.34% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 69 | | totalSentences | 83 | | matches | | 0 | "The rain came down in" | | 1 | "Detective Harlow Quinn's boots slapped" | | 2 | "The suspect had twenty yards" | | 3 | "The figure didn't slow." | | 4 | "Quinn's fingers brushed the worn" | | 5 | "The suspect glanced back." | | 6 | "Quinn had seen that look" | | 7 | "They cut left into an" | | 8 | "Quinn followed without hesitation, her" | | 9 | "The alley stank of urine" | | 10 | "Her feet slid on the" | | 11 | "A door stood open at" | | 12 | "The suspect vanished through it." | | 13 | "Quinn drew her baton, snapping" | | 14 | "She'd been a copper for" | | 15 | "She knew when something felt" | | 16 | "They'd led her through a" | | 17 | "She stepped through the doorway" | | 18 | "A second door at the" | | 19 | "Quinn moved forward, her shoes" |
| | ratio | 0.831 | |
| 60.24% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 83 | | matches | | 0 | "If anything, they pushed harder," |
| | ratio | 0.012 | |
| 40.82% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 35 | | technicalSentenceCount | 5 | | matches | | 0 | "If anything, they pushed harder, weaving through the late-night pedestrians with the practiced grace of someone who knew these streets." | | 1 | "Standing with their hands in their pockets, head cocked as if listening for something." | | 2 | "The blue glow grew stronger, and with it came sounds—a low hum, the clink of metal, voices that seemed to come from everywhere and nowhere at once." | | 3 | "Candles flickered in glass jars, casting dancing shadows across merchandise that made Quinn's brain stutter." | | 4 | "The cat-eyed woman smiled at her, revealing teeth that were just a little too pointed." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 2 | | matches | | 0 | "Quinn called out, her voice echoing off the tiles" | | 1 | "the suspect said, their voice carrying easily through the tunnel" |
| |
| 73.08% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | 0 | "Quinn called out (call out)" |
| | dialogueSentences | 13 | | tagDensity | 0.154 | | leniency | 0.308 | | rawRatio | 0.5 | | effectiveRatio | 0.154 | |