| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 21 | | tagDensity | 0.429 | | leniency | 0.857 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 83.84% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 619 | | 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) | |
| 27.30% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 619 | | totalAiIsms | 9 | | found | | 0 | | word | "practiced ease" | | count | 1 |
| | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | |
| | highlights | | 0 | "practiced ease" | | 1 | "pulsed" | | 2 | "glinting" | | 3 | "wavering" | | 4 | "stomach" | | 5 | "pulse" | | 6 | "flicked" | | 7 | "racing" |
| |
| 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 | 60 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 60 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 72 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 22 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 14 | | markdownWords | 18 | | totalWords | 611 | | ratio | 0.029 | | matches | | 0 | "Tube station" | | 1 | "wrong" | | 2 | "Aldwych" | | 3 | "reshaped" | | 4 | "anything" | | 5 | "shouldn’t" | | 6 | "sacrifice" | | 7 | "wanted" | | 8 | "needed" | | 9 | "The Black Cat Apothecary" | | 10 | "secrets" | | 11 | "years" | | 12 | "this" | | 13 | "door" |
| |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 33.72% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 36 | | wordCount | 516 | | uniqueNames | 13 | | maxNameDensity | 2.33 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | Davies | 8 | | Quinn | 12 | | Eva | 1 | | British | 1 | | Museum | 1 | | Veil | 2 | | Market | 1 | | Liora | 3 | | Vex | 3 | | Compass | 1 | | Black | 1 | | Cat | 1 | | Apothecary | 1 |
| | persons | | 0 | "Davies" | | 1 | "Quinn" | | 2 | "Eva" | | 3 | "Vex" | | 4 | "Apothecary" |
| | places | | | globalScore | 0.337 | | windowScore | 0.667 | |
| 18.42% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 38 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like they’d been *reshaped*, finge" | | 1 | "as if sensing the rift in the air" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 611 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 72 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 28 | | mean | 21.82 | | std | 14.62 | | cv | 0.67 | | sampleLengths | | 0 | 1 | | 1 | 44 | | 2 | 27 | | 3 | 49 | | 4 | 7 | | 5 | 6 | | 6 | 48 | | 7 | 33 | | 8 | 53 | | 9 | 6 | | 10 | 23 | | 11 | 8 | | 12 | 32 | | 13 | 30 | | 14 | 11 | | 15 | 26 | | 16 | 14 | | 17 | 11 | | 18 | 24 | | 19 | 11 | | 20 | 18 | | 21 | 23 | | 22 | 10 | | 23 | 38 | | 24 | 30 | | 25 | 9 | | 26 | 14 | | 27 | 5 |
| |
| 93.57% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 60 | | matches | | 0 | "been *reshaped" | | 1 | "was involved" |
| |
| 58.16% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 94 | | matches | | 0 | "was staring" | | 1 | "was hunting" |
| |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 72 | | ratio | 0.069 | | matches | | 0 | "The station’s name—*Aldwych*—was barely visible, half-scratched away by time or something far less patient." | | 1 | "\"No pulse. No breath. No *anything*.\" He tapped the skin—it gave like wet parchment." | | 2 | "She recognized it—the same sigils Eva had sketched in her notebooks, the ones from the restricted archives at the British Museum." | | 3 | "His fingers came away empty—except for a single, crumpled scrap of paper." | | 4 | "Right now, the only thing she needed to find was the truth—and the bastard who’d left this mess behind." |
| |
| 92.43% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 370 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 18 | | adverbRatio | 0.04864864864864865 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.013513513513513514 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 72 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 72 | | mean | 8.47 | | std | 5.03 | | cv | 0.593 | | sampleLengths | | 0 | 12 | | 1 | 15 | | 2 | 17 | | 3 | 13 | | 4 | 14 | | 5 | 3 | | 6 | 4 | | 7 | 15 | | 8 | 14 | | 9 | 13 | | 10 | 5 | | 11 | 2 | | 12 | 3 | | 13 | 3 | | 14 | 8 | | 15 | 19 | | 16 | 9 | | 17 | 2 | | 18 | 10 | | 19 | 12 | | 20 | 14 | | 21 | 7 | | 22 | 9 | | 23 | 17 | | 24 | 21 | | 25 | 6 | | 26 | 6 | | 27 | 16 | | 28 | 7 | | 29 | 3 | | 30 | 5 | | 31 | 6 | | 32 | 7 | | 33 | 16 | | 34 | 3 | | 35 | 9 | | 36 | 12 | | 37 | 9 | | 38 | 4 | | 39 | 7 | | 40 | 3 | | 41 | 4 | | 42 | 3 | | 43 | 13 | | 44 | 3 | | 45 | 14 | | 46 | 6 | | 47 | 5 | | 48 | 8 | | 49 | 2 |
| |
| 79.17% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.5 | | totalSentences | 72 | | uniqueOpeners | 36 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 53 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 11 | | totalSentences | 53 | | matches | | 0 | "She didn’t have to." | | 1 | "He tapped the skin—it gave" | | 2 | "She recognized it—the same sigils" | | 3 | "It was a wound in" | | 4 | "His fingers came away empty—except" | | 5 | "He unfolded it carefully, squinting" | | 6 | "She knew that shop." | | 7 | "She sold *secrets*." | | 8 | "He knew when to follow." | | 9 | "She turned toward the stairs" | | 10 | "She was hunting a *door*." |
| | ratio | 0.208 | |
| 54.34% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 43 | | totalSentences | 53 | | matches | | 0 | "The bone token clattered against" | | 1 | "Quinn caught it mid-air, her" | | 2 | "The thing pulsed faintly in" | | 3 | "Quinn didn’t answer." | | 4 | "She didn’t have to." | | 5 | "The stench of damp concrete" | | 6 | "The station’s name—*Aldwych*—was barely visible," | | 7 | "The platform stretched ahead, empty" | | 8 | "Davies breathed, stepping closer" | | 9 | "The body was a grotesque" | | 10 | "Skin stretched too tight over" | | 11 | "The detective’s stomach twisted, but" | | 12 | "Davies crouched beside the corpse," | | 13 | "He tapped the skin—it gave" | | 14 | "Quinn’s gaze flicked to the" | | 15 | "She recognized it—the same sigils" | | 16 | "The ones that *shouldn’t* be" | | 17 | "Davies guessed, following her stare" | | 18 | "Quinn pulled out her phone," | | 19 | "Davies exhaled sharply." |
| | ratio | 0.811 | |
| 94.34% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 53 | | matches | | 0 | "Because if Liora Vex was" |
| | ratio | 0.019 | |
| 71.43% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 20 | | technicalSentenceCount | 2 | | matches | | 0 | "Skin stretched too tight over bones that looked like they’d been *reshaped*, fingers fused into a single, clawed appendage." | | 1 | "Fresh scratches marred the brick, deep and deliberate, forming a pattern that made her blood run cold." |
| |
| 69.44% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 1 | | matches | | 0 | "muttered DS Davies, his torch beam wavering over the graffiti-scarred walls" |
| |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 4 | | fancyTags | | 0 | "muttered DS Davies (mutter)" | | 1 | "Davies breathed (breathe)" | | 2 | "Davies guessed (guess)" | | 3 | "he muttered (mutter)" |
| | dialogueSentences | 21 | | tagDensity | 0.238 | | leniency | 0.476 | | rawRatio | 0.8 | | effectiveRatio | 0.381 | |