| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 23 | | tagDensity | 0.565 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 94.07% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 843 | | 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) | |
| 76.28% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 843 | | totalAiIsms | 4 | | found | | | highlights | | 0 | "echoed" | | 1 | "predator" | | 2 | "reminder" | | 3 | "glinting" |
| |
| 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 | 57 | | matches | (empty) | |
| 67.67% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 0 | | narrationSentences | 57 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 66 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 36 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 6 | | markdownWords | 27 | | totalWords | 831 | | ratio | 0.032 | | matches | | 0 | "Who the hell—" | | 1 | "Evan’s ghost, you’re early." | | 2 | "Don’t let him see you flinch." | | 3 | "The fire." | | 4 | "How does he know about Eva?" | | 5 | "Don’t let him see you break." |
| |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 91.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 16 | | wordCount | 600 | | uniqueNames | 5 | | maxNameDensity | 1.17 | | worstName | "Aurora" | | maxWindowNameDensity | 2 | | worstWindowName | "Aurora" | | discoveredNames | | Carter | 1 | | Lucien | 5 | | Moreau | 2 | | French | 1 | | Aurora | 7 |
| | persons | | 0 | "Carter" | | 1 | "Lucien" | | 2 | "Moreau" | | 3 | "Aurora" |
| | places | (empty) | | globalScore | 0.917 | | windowScore | 1 | |
| 33.72% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 43 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like it had been pressed by angels" | | 1 | "looked like it could decapitate a man" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 831 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 66 | | matches | (empty) | |
| 56.75% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 12 | | mean | 69.25 | | std | 24.14 | | cv | 0.349 | | sampleLengths | | 0 | 134 | | 1 | 74 | | 2 | 74 | | 3 | 92 | | 4 | 64 | | 5 | 70 | | 6 | 62 | | 7 | 44 | | 8 | 72 | | 9 | 52 | | 10 | 37 | | 11 | 56 |
| |
| 99.11% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 57 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 109 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 11 | | semicolonCount | 1 | | flaggedSentences | 8 | | totalSentences | 66 | | ratio | 0.121 | | matches | | 0 | "*Who the hell—* She moved with practiced speed, not bothering with the deadbolts." | | 1 | "His tailored charcoal suit looked like it had been pressed by angels, but his eyes—one amber, one black—held the cold certainty of a predator." | | 2 | "The ivory-handled cane he leaned against the doorframe wasn’t just a prop; it looked like it could decapitate a man." | | 3 | "\"Lucien Moreau. To what do I owe the... pleasure?\" Her voice was low, controlled, but the scar on her left wrist—a crescent moon of pale flesh—twitched beneath her sleeve." | | 4 | "He glided past her, the scent of expensive cologne and something darker—like ozone and old blood—filling the small space." | | 5 | "The flat was a mess—books stacked precariously, scrolls spilling from shelves, papers covered in arcane symbols." | | 6 | "\"Get out? After I risked my neck to find you? After I know you’re hiding something?\" He took a step closer, and the scent of him intensified—cologne, ozone, and something primal." | | 7 | "And Lucien Moreau, the half-demon fixer, stood in her living room, holding the key to her secrets—and her heart—in his gloved hand." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 612 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 21 | | adverbRatio | 0.03431372549019608 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.008169934640522876 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 66 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 66 | | mean | 12.59 | | std | 8.2 | | cv | 0.651 | | sampleLengths | | 0 | 11 | | 1 | 13 | | 2 | 13 | | 3 | 18 | | 4 | 13 | | 5 | 24 | | 6 | 20 | | 7 | 3 | | 8 | 4 | | 9 | 15 | | 10 | 3 | | 11 | 2 | | 12 | 2 | | 13 | 2 | | 14 | 19 | | 15 | 29 | | 16 | 17 | | 17 | 12 | | 18 | 4 | | 19 | 18 | | 20 | 24 | | 21 | 16 | | 22 | 6 | | 23 | 36 | | 24 | 3 | | 25 | 19 | | 26 | 15 | | 27 | 8 | | 28 | 5 | | 29 | 13 | | 30 | 11 | | 31 | 14 | | 32 | 15 | | 33 | 11 | | 34 | 6 | | 35 | 10 | | 36 | 12 | | 37 | 12 | | 38 | 16 | | 39 | 6 | | 40 | 8 | | 41 | 11 | | 42 | 20 | | 43 | 31 | | 44 | 3 | | 45 | 16 | | 46 | 22 | | 47 | 3 | | 48 | 9 | | 49 | 31 |
| |
| 46.46% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.3787878787878788 | | totalSentences | 66 | | uniqueOpeners | 25 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 53 | | matches | (empty) | | ratio | 0 | |
| 38.87% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 24 | | totalSentences | 53 | | matches | | 0 | "His platinum hair, slicked back" | | 1 | "His tailored charcoal suit looked" | | 2 | "He didn’t smile." | | 3 | "He didn’t even blink." | | 4 | "He just stood there, radiating" | | 5 | "Her voice was low, controlled," | | 6 | "She’d hidden it well, but" | | 7 | "He pushed off the doorframe," | | 8 | "He didn’t step inside." | | 9 | "He just stood there, surveying" | | 10 | "His voice was smooth, dripping" | | 11 | "He didn’t hesitate." | | 12 | "He glided past her, the" | | 13 | "He didn’t wait for an" | | 14 | "He moved deeper into the" | | 15 | "His voice was a low" | | 16 | "She followed him, keeping a" | | 17 | "It smelled of dust and" | | 18 | "He didn’t turn around" | | 19 | "She crossed her arms again," |
| | ratio | 0.453 | |
| 16.60% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 47 | | totalSentences | 53 | | matches | | 0 | "The brass knocker echoed like" | | 1 | "Aurora Carter, mid-sip of lukewarm" | | 2 | "The door swung inward to" | | 3 | "His platinum hair, slicked back" | | 4 | "His tailored charcoal suit looked" | | 5 | "The ivory-handled cane he leaned" | | 6 | "He didn’t smile." | | 7 | "He didn’t even blink." | | 8 | "He just stood there, radiating" | | 9 | "Aurora’s breath hitched." | | 10 | "*Evan’s ghost, you’re early.* She" | | 11 | "Her voice was low, controlled," | | 12 | "She’d hidden it well, but" | | 13 | "He pushed off the doorframe," | | 14 | "He didn’t step inside." | | 15 | "He just stood there, surveying" | | 16 | "His voice was smooth, dripping" | | 17 | "Aurora’s knuckles whitened around the" | | 18 | "He didn’t hesitate." | | 19 | "He glided past her, the" |
| | ratio | 0.887 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 53 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 21 | | technicalSentenceCount | 1 | | matches | | 0 | "Lucien paused, his gaze lingering on the cat before snapping back to her." |
| |
| 9.62% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 3 | | matches | | 0 | "Aurora murmured, more to herself than him" | | 1 | "She took, her hand hovering near the deadbolt" | | 2 | "He raised, the ivory handle glinting" |
| |
| 19.57% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 3 | | fancyTags | | 0 | "Aurora murmured (murmur)" | | 1 | "he know (know)" | | 2 | "him see (see)" |
| | dialogueSentences | 23 | | tagDensity | 0.13 | | leniency | 0.261 | | rawRatio | 1 | | effectiveRatio | 0.261 | |