| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 1 | | adverbTags | | | dialogueSentences | 54 | | tagDensity | 0.222 | | leniency | 0.444 | | rawRatio | 0.083 | | effectiveRatio | 0.037 | |
| 75.11% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1406 | | totalAiIsmAdverbs | 7 | | found | | | highlights | | 0 | "slightly" | | 1 | "slowly" | | 2 | "sharply" | | 3 | "tightly" | | 4 | "gently" |
| |
| 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) | |
| 53.77% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1406 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "flickered" | | 1 | "racing" | | 2 | "echoing" | | 3 | "silence" | | 4 | "silk" | | 5 | "velvet" | | 6 | "sentinel" | | 7 | "charged" | | 8 | "pulse" | | 9 | "fluttered" | | 10 | "could feel" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "air was thick with" | | count | 1 |
|
| | highlights | | 0 | "the air was thick with" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 74 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 74 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 114 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 61 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 10 | | markdownWords | 12 | | totalWords | 1386 | | ratio | 0.009 | | matches | | 0 | "worried" | | 1 | "did" | | 2 | "else." | | 3 | "woke up" | | 4 | "burns" | | 5 | "something more" | | 6 | "felt" | | 7 | "anything" | | 8 | "help." | | 9 | "alive." |
| |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 17 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 21 | | wordCount | 818 | | uniqueNames | 11 | | maxNameDensity | 0.49 | | worstName | "Rory" | | maxWindowNameDensity | 1 | | worstWindowName | "Eva" | | discoveredNames | | Eva | 2 | | Ptolemy | 3 | | Carter | 1 | | Rory | 4 | | London | 1 | | Glasgow | 1 | | Lucien | 4 | | Moreau | 1 | | French | 1 | | Didn | 1 | | Aurora | 2 |
| | persons | | 0 | "Eva" | | 1 | "Ptolemy" | | 2 | "Carter" | | 3 | "Rory" | | 4 | "Lucien" | | 5 | "Moreau" | | 6 | "French" | | 7 | "Aurora" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 49 | | 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 | 1386 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 114 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 74 | | mean | 18.73 | | std | 19.24 | | cv | 1.027 | | sampleLengths | | 0 | 123 | | 1 | 20 | | 2 | 38 | | 3 | 15 | | 4 | 3 | | 5 | 28 | | 6 | 73 | | 7 | 13 | | 8 | 16 | | 9 | 15 | | 10 | 21 | | 11 | 6 | | 12 | 14 | | 13 | 28 | | 14 | 3 | | 15 | 28 | | 16 | 4 | | 17 | 12 | | 18 | 3 | | 19 | 11 | | 20 | 23 | | 21 | 21 | | 22 | 31 | | 23 | 27 | | 24 | 15 | | 25 | 20 | | 26 | 6 | | 27 | 11 | | 28 | 46 | | 29 | 19 | | 30 | 16 | | 31 | 38 | | 32 | 16 | | 33 | 14 | | 34 | 3 | | 35 | 5 | | 36 | 62 | | 37 | 14 | | 38 | 59 | | 39 | 7 | | 40 | 15 | | 41 | 12 | | 42 | 17 | | 43 | 6 | | 44 | 27 | | 45 | 4 | | 46 | 4 | | 47 | 14 | | 48 | 60 | | 49 | 3 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 74 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 157 | | matches | | 0 | "was imagining" | | 1 | "was running" |
| |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 15 | | semicolonCount | 0 | | flaggedSentences | 11 | | totalSentences | 114 | | ratio | 0.096 | | matches | | 0 | "Aurora Carter—Rory to those who knew her well enough to earn it—sat cross-legged on the floor, her back propped against the couch, sorting through a stack of damp delivery orders she hadn’t filed properly earlier." | | 1 | "A knock came at the door—three sharp raps, too deliberate to be a neighbor, too late to be the post." | | 2 | "The hour—nearly midnight—wasn’t kind to surprises." | | 3 | "But there was no mistaking that face—the austere jawline, the slicked-back platinum hair, the unsettling beauty of his mismatched eyes, one amber like aged whiskey, the other black as a starless sky." | | 4 | "Rory exhaled sharply through her nose and turned the bolts—slow, deliberate—each click echoing in the silence." | | 5 | "French, polished, layered with something older—something not entirely human." | | 6 | "He must’ve cast a minor ward to keep dry—something subtle, barely worth the energy." | | 7 | "That word—*worried*—in his velvet tone, with those eyes on her…" | | 8 | "Somewhere, Ptolemy meowed—a long, low sound, like a comment made in another language." | | 9 | "Lucien exhaled, a sound like surrender, and leaned in slowly—giving her time to pull away." | | 10 | "When their lips met, it wasn’t fire or fury, but something quieter, deeper—a reconnection, a promise, the start of something neither had dared to name." |
| |
| 93.28% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 839 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 40 | | adverbRatio | 0.04767580452920143 | | lyAdverbCount | 15 | | lyAdverbRatio | 0.017878426698450536 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 114 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 114 | | mean | 12.16 | | std | 10.88 | | cv | 0.895 | | sampleLengths | | 0 | 23 | | 1 | 31 | | 2 | 35 | | 3 | 34 | | 4 | 20 | | 5 | 2 | | 6 | 6 | | 7 | 8 | | 8 | 8 | | 9 | 7 | | 10 | 7 | | 11 | 15 | | 12 | 3 | | 13 | 28 | | 14 | 9 | | 15 | 32 | | 16 | 3 | | 17 | 29 | | 18 | 13 | | 19 | 16 | | 20 | 14 | | 21 | 1 | | 22 | 9 | | 23 | 9 | | 24 | 3 | | 25 | 6 | | 26 | 5 | | 27 | 4 | | 28 | 5 | | 29 | 10 | | 30 | 14 | | 31 | 2 | | 32 | 2 | | 33 | 3 | | 34 | 28 | | 35 | 4 | | 36 | 12 | | 37 | 3 | | 38 | 11 | | 39 | 3 | | 40 | 10 | | 41 | 10 | | 42 | 21 | | 43 | 31 | | 44 | 23 | | 45 | 4 | | 46 | 15 | | 47 | 17 | | 48 | 3 | | 49 | 6 |
| |
| 52.63% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.3684210526315789 | | totalSentences | 114 | | uniqueOpeners | 42 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 63 | | matches | | 0 | "Then she froze." | | 1 | "Somewhere, Ptolemy meowed—a long, low" | | 2 | "Just one word." |
| | ratio | 0.048 | |
| 29.52% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 30 | | totalSentences | 63 | | matches | | 0 | "Her black hair hung loose," | | 1 | "She glanced at the three" | | 2 | "She rose slowly, bare feet" | | 3 | "He hadn’t changed." | | 4 | "She opened the door just" | | 5 | "His voice was smooth, like" | | 6 | "He didn’t move" | | 7 | "He must’ve cast a minor" | | 8 | "Her breath caught." | | 9 | "it unraveled something small and" | | 10 | "She stepped back, opening the" | | 11 | "she repeated, arms crossing over" | | 12 | "he said again, removing his" | | 13 | "He leaned against the wall," | | 14 | "he said, voice lower now" | | 15 | "She stilled, the kettle trembling" | | 16 | "She set the kettle down." | | 17 | "He stepped closer, slow, deliberate," | | 18 | "She laughed, sharp and bitter." | | 19 | "He stopped, jaw tightening" |
| | ratio | 0.476 | |
| 86.98% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 47 | | totalSentences | 63 | | matches | | 0 | "Rain drummed steadily against the" | | 1 | "Aurora Carter—Rory to those who" | | 2 | "Her black hair hung loose," | | 3 | "A knock came at the" | | 4 | "The hour—nearly midnight—wasn’t kind to" | | 5 | "She glanced at the three" | | 6 | "Yu-Fei hadn’t said anything about" | | 7 | "Eva was in Glasgow for" | | 8 | "She rose slowly, bare feet" | | 9 | "He hadn’t changed." | | 10 | "The tabby cat lifted his" | | 11 | "Rory exhaled sharply through her" | | 12 | "She opened the door just" | | 13 | "His voice was smooth, like" | | 14 | "French, polished, layered with something" | | 15 | "He didn’t move" | | 16 | "Rain glistened in his hairline," | | 17 | "He must’ve cast a minor" | | 18 | "Her breath caught." | | 19 | "That word—*worried*—in his velvet tone," |
| | ratio | 0.746 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 63 | | matches | (empty) | | ratio | 0 | |
| 95.24% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 30 | | technicalSentenceCount | 2 | | matches | | 0 | "Inside, the air was thick with the scent of old paper, turmeric, and the faint musk of Ptolemy, who lounged belly-up on the sofa like a furry sphinx guarding an…" | | 1 | "She reached up, her fingers grazing the side of his face, thumb brushing the sharp angle of his jaw." |
| |
| 41.67% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 2 | | matches | | 0 | "he said, voice lower now," | | 1 | "He stopped, jaw tightening" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 2 | | fancyTags | | 0 | "she repeated (repeat)" | | 1 | "she whispered (whisper)" |
| | dialogueSentences | 54 | | tagDensity | 0.111 | | leniency | 0.222 | | rawRatio | 0.333 | | effectiveRatio | 0.074 | |