| 75.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 2 | | adverbTags | | 0 | "she said again [again]" | | 1 | "she said slowly [slowly]" |
| | dialogueSentences | 32 | | tagDensity | 0.344 | | leniency | 0.688 | | rawRatio | 0.182 | | effectiveRatio | 0.125 | |
| 96.21% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1318 | | totalAiIsmAdverbs | 1 | | 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) | |
| 73.44% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1318 | | totalAiIsms | 7 | | found | | 0 | | word | "practiced ease" | | count | 1 |
| | 1 | | | 2 | | | 3 | | | 4 | |
| | highlights | | 0 | "practiced ease" | | 1 | "familiar" | | 2 | "echoed" | | 3 | "sense of" | | 4 | "flickered" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
|
| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 81 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 81 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 101 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 49 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1314 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 17 | | wordCount | 1069 | | uniqueNames | 8 | | maxNameDensity | 0.56 | | worstName | "Quinn" | | maxWindowNameDensity | 1 | | worstWindowName | "Quinn" | | discoveredNames | | Quinn | 6 | | London | 2 | | Camden | 1 | | Morris | 4 | | Thames | 1 | | Queen | 1 | | Victoria | 1 | | Veil | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Morris" | | 2 | "Queen" | | 3 | "Victoria" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 29.03% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 62 | | glossingSentenceCount | 3 | | matches | | 0 | "looked like it hadn't been opened in year" | | 1 | "looked like liquid shadow; a man with no" | | 2 | "quite fit" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1314 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 101 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 54 | | mean | 24.33 | | std | 20.16 | | cv | 0.829 | | sampleLengths | | 0 | 52 | | 1 | 2 | | 2 | 44 | | 3 | 74 | | 4 | 33 | | 5 | 5 | | 6 | 52 | | 7 | 50 | | 8 | 5 | | 9 | 59 | | 10 | 25 | | 11 | 15 | | 12 | 24 | | 13 | 20 | | 14 | 28 | | 15 | 10 | | 16 | 37 | | 17 | 56 | | 18 | 10 | | 19 | 3 | | 20 | 4 | | 21 | 31 | | 22 | 64 | | 23 | 8 | | 24 | 10 | | 25 | 4 | | 26 | 51 | | 27 | 14 | | 28 | 36 | | 29 | 12 | | 30 | 31 | | 31 | 12 | | 32 | 11 | | 33 | 6 | | 34 | 1 | | 35 | 47 | | 36 | 16 | | 37 | 4 | | 38 | 51 | | 39 | 3 | | 40 | 47 | | 41 | 13 | | 42 | 63 | | 43 | 4 | | 44 | 14 | | 45 | 47 | | 46 | 32 | | 47 | 13 | | 48 | 17 | | 49 | 8 |
| |
| 96.60% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 81 | | matches | | 0 | "been opened" | | 1 | "was paid" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 179 | | matches | | 0 | "was trying" | | 1 | "was coming" |
| |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 1 | | flaggedSentences | 1 | | totalSentences | 101 | | ratio | 0.01 | | matches | | 0 | "A woman with silver hair sold bottles of what looked like liquid shadow; a man with no discernible mouth whispered prices to customers who nodded and paid in teeth." |
| |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1073 | | adjectiveStacks | 1 | | stackExamples | | | adverbCount | 35 | | adverbRatio | 0.032618825722273995 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.004659832246039142 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 101 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 101 | | mean | 13.01 | | std | 9.35 | | cv | 0.719 | | sampleLengths | | 0 | 27 | | 1 | 4 | | 2 | 21 | | 3 | 2 | | 4 | 11 | | 5 | 33 | | 6 | 6 | | 7 | 14 | | 8 | 23 | | 9 | 12 | | 10 | 7 | | 11 | 5 | | 12 | 7 | | 13 | 33 | | 14 | 5 | | 15 | 12 | | 16 | 24 | | 17 | 7 | | 18 | 9 | | 19 | 29 | | 20 | 15 | | 21 | 6 | | 22 | 5 | | 23 | 9 | | 24 | 18 | | 25 | 32 | | 26 | 21 | | 27 | 4 | | 28 | 7 | | 29 | 8 | | 30 | 7 | | 31 | 17 | | 32 | 11 | | 33 | 9 | | 34 | 11 | | 35 | 17 | | 36 | 10 | | 37 | 30 | | 38 | 7 | | 39 | 7 | | 40 | 49 | | 41 | 6 | | 42 | 4 | | 43 | 3 | | 44 | 4 | | 45 | 16 | | 46 | 15 | | 47 | 22 | | 48 | 20 | | 49 | 7 |
| |
| 83.50% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.5247524752475248 | | totalSentences | 101 | | uniqueOpeners | 53 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 79 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 22 | | totalSentences | 79 | | matches | | 0 | "Her boots splashed through puddles" | | 1 | "She hadn't expected the chase" | | 2 | "She pumped her legs harder," | | 3 | "Her target had vanished inside." | | 4 | "She didn't know what waited" | | 5 | "She didn't know the territory," | | 6 | "She pushed through the door." | | 7 | "He didn't look up." | | 8 | "she said again, quieter this" | | 9 | "It took her a moment" | | 10 | "Her gaze moved back to" | | 11 | "she said slowly" | | 12 | "She'd found it in Morris's" | | 13 | "She'd never known what it" | | 14 | "He pointed at the floor," | | 15 | "He trailed off, but his" | | 16 | "She thought about the suspect," | | 17 | "She thought about three years" | | 18 | "she said, pocketing the bone" | | 19 | "She didn't stop." |
| | ratio | 0.278 | |
| 29.62% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 68 | | totalSentences | 79 | | matches | | 0 | "The suspect vaulted the market" | | 1 | "Harlow Quinn didn't slow." | | 2 | "Her boots splashed through puddles" | | 3 | "The words came out ragged," | | 4 | "She hadn't expected the chase" | | 5 | "The suspect disappeared around a" | | 6 | "She pumped her legs harder," | | 7 | "The shops here sold things" | | 8 | "Remedies for ailments doctors refused" | | 9 | "Curses packaged in pretty bottles." | | 10 | "Information on people who no" | | 11 | "The sign caught her eye" | | 12 | "Her target had vanished inside." | | 13 | "Quinn pressed her back against" | | 14 | "The rational part of her" | | 15 | "She didn't know what waited" | | 16 | "She didn't know the territory," | | 17 | "Every lead, every suspect, every" | | 18 | "She pushed through the door." | | 19 | "The bar smelled of old" |
| | ratio | 0.861 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 79 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 38 | | technicalSentenceCount | 9 | | matches | | 0 | "The suspect vaulted the market stall with the practiced ease of someone who'd done it before, sending a cascade of copper pots clattering across the wet cobbles…" | | 1 | "Her boots splashed through puddles that had gathered in the market's uneven floor, the sodium lights casting everything in sickly yellow." | | 2 | "The sign caught her eye as she rounded the corner: green neon bleeding into the rain, the word RAVEN'S NEST flickering above a door that looked like it hadn't b…" | | 3 | "The rational part of her brain, the part that had kept her alive through eighteen years of dangerous work, screamed that this was wrong." | | 4 | "A man stood at the far end of the bar, polishing a glass with a rag that had seen better decades." | | 5 | "The man returned to his glass, resuming his polishing as if she'd already ceased to exist." | | 6 | "She thought about three years of dead ends and supernatural nonsense that never made it into her reports, of whispers in interview rooms and things that shouldn…" | | 7 | "Cold air rushed up to meet her, carrying the scent of damp stone and something else, something that made her think of copper and electricity and places where th…" | | 8 | "A woman with silver hair sold bottles of what looked like liquid shadow; a man with no discernible mouth whispered prices to customers who nodded and paid in te…" |
| |
| 79.55% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 1 | | matches | | 0 | "He pointed, the walls, the ceiling" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 32 | | tagDensity | 0.094 | | leniency | 0.188 | | rawRatio | 0 | | effectiveRatio | 0 | |