| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 17 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 58 | | tagDensity | 0.293 | | leniency | 0.586 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.73% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1531 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 100.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | | codexExemptions | | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 34.68% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1531 | | totalAiIsms | 20 | | found | | | highlights | | 0 | "gloom" | | 1 | "unspoken" | | 2 | "traced" | | 3 | "pulse" | | 4 | "throbbed" | | 5 | "glinting" | | 6 | "raced" | | 7 | "warmth" | | 8 | "coded" | | 9 | "weight" | | 10 | "flicked" | | 11 | "sentinel" | | 12 | "echoed" | | 13 | "silence" | | 14 | "unwavering" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "weight of words/silence" | | count | 1 |
|
| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 109 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 109 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 150 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 40 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1516 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 23 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 20 | | wordCount | 1133 | | uniqueNames | 10 | | maxNameDensity | 0.53 | | worstName | "Silas" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Aurora" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Prague | 1 | | Blackwood | 1 | | Si | 1 | | Evan | 1 | | London | 1 | | Silas | 6 | | Aurora | 6 | | Carter | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Blackwood" | | 3 | "Si" | | 4 | "Evan" | | 5 | "Silas" | | 6 | "Aurora" | | 7 | "Carter" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 91.86% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 86 | | glossingSentenceCount | 2 | | matches | | 0 | "felt like the tail end of a dream" | | 1 | "as if absorbing that confession" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1516 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 150 | | matches | | 0 | "absorbing that confession" |
| |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 58 | | mean | 26.14 | | std | 18.24 | | cv | 0.698 | | sampleLengths | | 0 | 73 | | 1 | 87 | | 2 | 77 | | 3 | 54 | | 4 | 27 | | 5 | 63 | | 6 | 8 | | 7 | 41 | | 8 | 9 | | 9 | 35 | | 10 | 7 | | 11 | 16 | | 12 | 24 | | 13 | 7 | | 14 | 15 | | 15 | 43 | | 16 | 12 | | 17 | 17 | | 18 | 24 | | 19 | 12 | | 20 | 5 | | 21 | 39 | | 22 | 27 | | 23 | 26 | | 24 | 23 | | 25 | 11 | | 26 | 30 | | 27 | 21 | | 28 | 29 | | 29 | 39 | | 30 | 16 | | 31 | 43 | | 32 | 13 | | 33 | 15 | | 34 | 48 | | 35 | 6 | | 36 | 16 | | 37 | 25 | | 38 | 34 | | 39 | 24 | | 40 | 18 | | 41 | 8 | | 42 | 17 | | 43 | 16 | | 44 | 16 | | 45 | 18 | | 46 | 22 | | 47 | 16 | | 48 | 17 | | 49 | 11 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 109 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 207 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 14 | | semicolonCount | 0 | | flaggedSentences | 13 | | totalSentences | 150 | | ratio | 0.087 | | matches | | 0 | "She tucked a strand behind her ear, revealing the bright blue of her eyes—eyes she barely recognized in the fringe-lit gloom." | | 1 | "Silas Blackwood—Si to the few who dared." | | 2 | "That signet ring caught the bar lamp, glinting—raven in flight, talons unclenching." | | 3 | "He offered something in a glass—top-shelf whiskey, pale gold in the low light." | | 4 | "He touched the scar on his own palm, then pressed the signet ring—weighing it like regret." | | 5 | "She closed her eyes, picturing those early days after she fled Evan’s apartment—her bruised lip, trembling fingers." | | 6 | "He set his glass down and leaned in close enough that she could smell his aftershave—cedar and tobacco." | | 7 | "“This place isn’t just a bar.” He waved a hand, revealing dusty corners—maps of cartel routes, coded schedules." | | 8 | "Her eyes drifted over the wall of photos—one of her, age twelve, scowling in a raincoat, a younger Silas offering her a hand." | | 9 | "“I was prideful.” She glanced at a page—her loopy handwriting in blue ink: “I have to do this on my own.”" | | 10 | "He unfurled another sheet—a photograph of her in court robes." | | 11 | "She took it, then leaned forward, resting her head on his shoulder for a moment—young Aurora seeking safety in a man she trusted." | | 12 | "He smiled—wicked, warm." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1153 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 30 | | adverbRatio | 0.026019080659150044 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.006071118820468344 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 150 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 150 | | mean | 10.11 | | std | 6.5 | | cv | 0.643 | | sampleLengths | | 0 | 19 | | 1 | 19 | | 2 | 13 | | 3 | 22 | | 4 | 13 | | 5 | 10 | | 6 | 21 | | 7 | 17 | | 8 | 26 | | 9 | 7 | | 10 | 17 | | 11 | 7 | | 12 | 23 | | 13 | 23 | | 14 | 2 | | 15 | 12 | | 16 | 40 | | 17 | 9 | | 18 | 10 | | 19 | 8 | | 20 | 12 | | 21 | 24 | | 22 | 27 | | 23 | 2 | | 24 | 6 | | 25 | 7 | | 26 | 12 | | 27 | 7 | | 28 | 10 | | 29 | 5 | | 30 | 8 | | 31 | 1 | | 32 | 7 | | 33 | 13 | | 34 | 9 | | 35 | 6 | | 36 | 7 | | 37 | 6 | | 38 | 10 | | 39 | 16 | | 40 | 8 | | 41 | 4 | | 42 | 3 | | 43 | 6 | | 44 | 9 | | 45 | 17 | | 46 | 18 | | 47 | 8 | | 48 | 5 | | 49 | 7 |
| |
| 44.67% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.26 | | totalSentences | 150 | | uniqueOpeners | 39 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 99 | | matches | | 0 | "Then he straightened, right hand" | | 1 | "Instead, she found questions she’d" | | 2 | "Then she squared her shoulders." |
| | ratio | 0.03 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 65 | | totalSentences | 99 | | matches | | 0 | "She’d rented the flat above" | | 1 | "She crossed the threshold on" | | 2 | "She shrugged off her soaked" | | 3 | "Her straight, shoulder-length black hair" | | 4 | "She tucked a strand behind" | | 5 | "He was leaning against the" | | 6 | "He pressed his lips together," | | 7 | "he said, voice soft as" | | 8 | "she repeated, older now, but" | | 9 | "She felt the scar on" | | 10 | "He had shown up then," | | 11 | "She clutched the strap of" | | 12 | "She met his hazel eyes," | | 13 | "she added, half-joking to hide" | | 14 | "He nodded, stepping back to" | | 15 | "She eased onto it, the" | | 16 | "He offered something in a" | | 17 | "She accepted, fingers brushing his" | | 18 | "She stared at the swirling" | | 19 | "He touched the scar on" |
| | ratio | 0.657 | |
| 10.51% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 89 | | totalSentences | 99 | | matches | | 0 | "Aurora hesitated under the green" | | 1 | "She’d rented the flat above" | | 2 | "She crossed the threshold on" | | 3 | "She shrugged off her soaked" | | 4 | "Her straight, shoulder-length black hair" | | 5 | "She tucked a strand behind" | | 6 | "A driftwood bookshelf lined one" | | 7 | "Aurora’s pulse throbbed when she" | | 8 | "He was leaning against the" | | 9 | "Silas Blackwood—Si to the few" | | 10 | "The neat auburn beard was" | | 11 | "That signet ring caught the" | | 12 | "A crest she’d traced as" | | 13 | "He pressed his lips together," | | 14 | "he said, voice soft as" | | 15 | "she repeated, older now, but" | | 16 | "She felt the scar on" | | 17 | "He had shown up then," | | 18 | "She clutched the strap of" | | 19 | "She met his hazel eyes," |
| | ratio | 0.899 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 99 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 46 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 66.18% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 17 | | uselessAdditionCount | 2 | | matches | | 0 | "he said, voice soft as moth wings" | | 1 | "he said, voice steady" |
| |
| 46.55% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 13 | | fancyCount | 6 | | fancyTags | | 0 | "she repeated (repeat)" | | 1 | "she added (add)" | | 2 | "he whispered (whisper)" | | 3 | "she admitted (admit)" | | 4 | "she murmured (murmur)" | | 5 | "she whispered (whisper)" |
| | dialogueSentences | 58 | | tagDensity | 0.224 | | leniency | 0.448 | | rawRatio | 0.462 | | effectiveRatio | 0.207 | |