| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 1 | | adverbTags | | 0 | "Quinn replied wryly [wryly]" |
| | dialogueSentences | 33 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0.091 | | effectiveRatio | 0.061 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1138 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1138 | | totalAiIsms | 25 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | | | 21 | |
| | highlights | | 0 | "scanning" | | 1 | "echoes" | | 2 | "footsteps" | | 3 | "familiar" | | 4 | "chill" | | 5 | "otherworldly" | | 6 | "tracing" | | 7 | "etched" | | 8 | "flicker" | | 9 | "pulsed" | | 10 | "silence" | | 11 | "gleaming" | | 12 | "whisper" | | 13 | "eyebrow" | | 14 | "silk" | | 15 | "complex" | | 16 | "navigating" | | 17 | "solace" | | 18 | "reminder" | | 19 | "resolve" | | 20 | "dance" | | 21 | "fleeting" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
|
| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 64 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 64 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 86 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 28 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1124 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 61.66% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 42 | | wordCount | 849 | | uniqueNames | 14 | | maxNameDensity | 1.77 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Tube | 1 | | Camden | 1 | | Harlow | 1 | | Quinn | 15 | | Veil | 3 | | Market | 2 | | Nichols | 7 | | Morris | 1 | | Nearby | 1 | | Unfurling | 1 | | Compass | 1 | | Detective | 2 | | Eva | 5 | | Kowalski | 1 |
| | persons | | 0 | "Camden" | | 1 | "Harlow" | | 2 | "Quinn" | | 3 | "Market" | | 4 | "Nichols" | | 5 | "Morris" | | 6 | "Detective" | | 7 | "Eva" | | 8 | "Kowalski" |
| | places | (empty) | | globalScore | 0.617 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 58 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1124 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 86 | | matches | (empty) | |
| 91.13% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 33 | | mean | 34.06 | | std | 15.97 | | cv | 0.469 | | sampleLengths | | 0 | 80 | | 1 | 31 | | 2 | 64 | | 3 | 42 | | 4 | 28 | | 5 | 26 | | 6 | 14 | | 7 | 54 | | 8 | 67 | | 9 | 11 | | 10 | 41 | | 11 | 23 | | 12 | 24 | | 13 | 24 | | 14 | 32 | | 15 | 29 | | 16 | 49 | | 17 | 43 | | 18 | 22 | | 19 | 47 | | 20 | 6 | | 21 | 26 | | 22 | 34 | | 23 | 21 | | 24 | 44 | | 25 | 23 | | 26 | 38 | | 27 | 45 | | 28 | 19 | | 29 | 30 | | 30 | 27 | | 31 | 37 | | 32 | 23 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 64 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 153 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 1 | | flaggedSentences | 7 | | totalSentences | 86 | | ratio | 0.081 | | matches | | 0 | "Tonight, though, there was no hustle of buyers and sellers—only the echoes of footsteps on grime-streaked concrete." | | 1 | "The hair on her neck bristled once more—something was just beyond comprehension, lurking at the edges." | | 2 | "Maintain order against ethereal odds—a regular occurrence nowadays." | | 3 | "Something more significant lingered below the surface—a plot tied to knowledge that bridged realms." | | 4 | "There was solace in shared constancy; Eva's loyalty painted possibilities that the supernatural shrouded." | | 5 | "Quinn exhaled, allowing the air to settle—a dusting of mysteries sprinkled back into the cynical night." | | 6 | "Bursting from shadows to seed new beginnings—a chosen destiny." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 481 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 19 | | adverbRatio | 0.0395010395010395 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.014553014553014554 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 86 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 86 | | mean | 13.07 | | std | 5.9 | | cv | 0.451 | | sampleLengths | | 0 | 23 | | 1 | 17 | | 2 | 23 | | 3 | 17 | | 4 | 9 | | 5 | 16 | | 6 | 6 | | 7 | 26 | | 8 | 16 | | 9 | 18 | | 10 | 4 | | 11 | 20 | | 12 | 22 | | 13 | 20 | | 14 | 8 | | 15 | 20 | | 16 | 6 | | 17 | 6 | | 18 | 8 | | 19 | 14 | | 20 | 16 | | 21 | 17 | | 22 | 7 | | 23 | 13 | | 24 | 16 | | 25 | 27 | | 26 | 11 | | 27 | 11 | | 28 | 17 | | 29 | 17 | | 30 | 7 | | 31 | 17 | | 32 | 6 | | 33 | 6 | | 34 | 13 | | 35 | 5 | | 36 | 18 | | 37 | 6 | | 38 | 6 | | 39 | 6 | | 40 | 8 | | 41 | 12 | | 42 | 21 | | 43 | 8 | | 44 | 3 | | 45 | 12 | | 46 | 13 | | 47 | 14 | | 48 | 7 | | 49 | 20 |
| |
| 100.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 0 | | diversityRatio | 0.6395348837209303 | | totalSentences | 86 | | uniqueOpeners | 55 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 61 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 12 | | totalSentences | 61 | | matches | | 0 | "Her eyes, scanning with the" | | 1 | "He eyed the surroundings, a" | | 2 | "she murmured to herself" | | 3 | "she surmised, her attention drawn" | | 4 | "She followed the lead of" | | 5 | "She unfurled a hand to" | | 6 | "She tossed a glance at" | | 7 | "Her approach light as a" | | 8 | "She sensed the complex weave" | | 9 | "Her friend moved quietly, like" | | 10 | "Their shared understanding sowed deep" | | 11 | "she called over her shoulder," |
| | ratio | 0.197 | |
| 41.97% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 51 | | totalSentences | 61 | | matches | | 0 | "The old Tube station lay" | | 1 | "Detective Harlow Quinn stepped from" | | 2 | "Her eyes, scanning with the" | | 3 | "Tonight, though, there was no" | | 4 | "Sergeant Nichols muttered as Quinn" | | 5 | "He eyed the surroundings, a" | | 6 | "Quinn replied wryly, her gaze" | | 7 | "A familiar chill raised the" | | 8 | "This market glimmered with an" | | 9 | "Nichols gestured to the twisted" | | 10 | "Quinn knelt beside the body," | | 11 | "she murmured to herself" | | 12 | "Quinn focused on the ornate" | | 13 | "she surmised, her attention drawn" | | 14 | "The hair on her neck" | | 15 | "She followed the lead of" | | 16 | "There, deceased yet still clutching" | | 17 | "Quinn picked the compass up" | | 18 | "The needle spun erratically, only" | | 19 | "Nichols smirked, nodding towards the" |
| | ratio | 0.836 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 61 | | matches | (empty) | | ratio | 0 | |
| 93.02% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 43 | | technicalSentenceCount | 3 | | matches | | 0 | "A familiar chill raised the hairs on her arms, reminiscent of the case that claimed Morris." | | 1 | "Nichols smirked, nodding towards the shadowy visitors trickling back into the market, their robes rustling like whispers." | | 2 | "Something more significant lingered below the surface—a plot tied to knowledge that bridged realms." |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 6 | | fancyTags | | 0 | "Sergeant Nichols muttered (mutter)" | | 1 | "she murmured (murmur)" | | 2 | "she surmised (surmise)" | | 3 | "Quinn snapped (snap)" | | 4 | "the shopkeeper interjected (interject)" | | 5 | "the merchant muttered (mutter)" |
| | dialogueSentences | 33 | | tagDensity | 0.273 | | leniency | 0.545 | | rawRatio | 0.667 | | effectiveRatio | 0.364 | |