| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 20 | | adverbTagCount | 1 | | adverbTags | | 0 | "he asked abruptly [abruptly]" |
| | dialogueSentences | 39 | | tagDensity | 0.513 | | leniency | 1 | | rawRatio | 0.05 | | effectiveRatio | 0.05 | |
| 84.01% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1251 | | totalAiIsmAdverbs | 4 | | found | | 0 | | | 1 | | adverb | "reluctantly" | | count | 1 |
| | 2 | | | 3 | |
| | highlights | | 0 | "lightly" | | 1 | "reluctantly" | | 2 | "quickly" | | 3 | "tightly" |
| |
| 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1251 | | totalAiIsms | 27 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | |
| | highlights | | 0 | "clandestine" | | 1 | "charm" | | 2 | "familiar" | | 3 | "stark" | | 4 | "steeled" | | 5 | "warmth" | | 6 | "silence" | | 7 | "tracing" | | 8 | "echo" | | 9 | "traced" | | 10 | "fractured" | | 11 | "weight" | | 12 | "echoed" | | 13 | "unspoken" | | 14 | "reminder" | | 15 | "measured" | | 16 | "amidst" | | 17 | "sanctuary" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 0 | | maxInWindow | 0 | | found | (empty) | | highlights | (empty) | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 66 | | matches | (empty) | |
| 99.57% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 66 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 85 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 38 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 9 | | totalWords | 1233 | | ratio | 0.007 | | matches | | 0 | "You don’t win chess by retreating to old moves." |
| |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 98.35% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 37 | | wordCount | 968 | | uniqueNames | 13 | | maxNameDensity | 1.03 | | worstName | "Evan" | | maxWindowNameDensity | 2 | | worstWindowName | "Evan" | | discoveredNames | | Carter | 1 | | Raven | 2 | | Nest | 2 | | Silas | 3 | | London | 2 | | Eva | 1 | | Soho | 3 | | Hartley | 1 | | Evan | 10 | | Rory | 9 | | Reluctantly | 1 | | London-vaulted | 1 | | Cardiff | 1 |
| | persons | | 0 | "Carter" | | 1 | "Raven" | | 2 | "Nest" | | 3 | "Silas" | | 4 | "Eva" | | 5 | "Hartley" | | 6 | "Evan" | | 7 | "Rory" |
| | places | | 0 | "London" | | 1 | "Soho" | | 2 | "Cardiff" |
| | globalScore | 0.983 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 63 | | glossingSentenceCount | 1 | | matches | | 0 | "quite mastered this new, polished version of himself" |
| |
| 37.79% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.622 | | wordCount | 1233 | | matches | | 0 | "not looking directly at her, but instead at the wall" | | 1 | "Neither blamed nor" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 85 | | matches | (empty) | |
| 83.08% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 43 | | mean | 28.67 | | std | 12.64 | | cv | 0.441 | | sampleLengths | | 0 | 61 | | 1 | 47 | | 2 | 65 | | 3 | 22 | | 4 | 25 | | 5 | 31 | | 6 | 31 | | 7 | 24 | | 8 | 39 | | 9 | 20 | | 10 | 30 | | 11 | 11 | | 12 | 29 | | 13 | 39 | | 14 | 21 | | 15 | 25 | | 16 | 24 | | 17 | 13 | | 18 | 43 | | 19 | 17 | | 20 | 28 | | 21 | 26 | | 22 | 26 | | 23 | 15 | | 24 | 34 | | 25 | 24 | | 26 | 22 | | 27 | 19 | | 28 | 22 | | 29 | 14 | | 30 | 21 | | 31 | 12 | | 32 | 46 | | 33 | 29 | | 34 | 26 | | 35 | 19 | | 36 | 35 | | 37 | 17 | | 38 | 35 | | 39 | 33 | | 40 | 36 | | 41 | 60 | | 42 | 17 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 66 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 160 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 85 | | ratio | 0.082 | | matches | | 0 | "Her delivery tonight struck her as peculiar—why back here?" | | 1 | "She glanced at the flashing screen—Eva." | | 2 | "An expensive-looking watch peeked from under the cuff of his crisp blue suit—a far cry from the ripped jeans and band shirts she remembered." | | 3 | "She moved to leave—the air too thick with past sins and unresolved conflicts." | | 4 | "She glanced at his hand, tracing the infinitesimal tremor as it pulled away—a tell-tale sign he hadn't quite mastered this new, polished version of himself." | | 5 | "Silas’s voice echoed in her thoughts—smooth, filled with unspoken influence: *You don’t win chess by retreating to old moves.*" | | 6 | "In the dusk's deep embrace, Rory understood—the weight of time carried regret and possibility in equal measure." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 986 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 35 | | adverbRatio | 0.035496957403651115 | | lyAdverbCount | 17 | | lyAdverbRatio | 0.017241379310344827 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 85 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 85 | | mean | 14.51 | | std | 6.88 | | cv | 0.474 | | sampleLengths | | 0 | 16 | | 1 | 22 | | 2 | 9 | | 3 | 14 | | 4 | 6 | | 5 | 13 | | 6 | 28 | | 7 | 12 | | 8 | 29 | | 9 | 24 | | 10 | 11 | | 11 | 11 | | 12 | 9 | | 13 | 9 | | 14 | 7 | | 15 | 23 | | 16 | 8 | | 17 | 8 | | 18 | 10 | | 19 | 13 | | 20 | 13 | | 21 | 11 | | 22 | 14 | | 23 | 25 | | 24 | 13 | | 25 | 7 | | 26 | 23 | | 27 | 7 | | 28 | 11 | | 29 | 29 | | 30 | 17 | | 31 | 11 | | 32 | 11 | | 33 | 21 | | 34 | 14 | | 35 | 11 | | 36 | 11 | | 37 | 13 | | 38 | 4 | | 39 | 9 | | 40 | 6 | | 41 | 37 | | 42 | 17 | | 43 | 20 | | 44 | 8 | | 45 | 11 | | 46 | 15 | | 47 | 26 | | 48 | 8 | | 49 | 7 |
| |
| 97.65% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.6235294117647059 | | totalSentences | 85 | | uniqueOpeners | 53 | |
| 52.91% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 63 | | matches | | 0 | "Reluctantly, Rory lowered into the" |
| | ratio | 0.016 | |
| 16.83% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 32 | | totalSentences | 63 | | matches | | 0 | "Her delivery tonight struck her" | | 1 | "She glanced at the flashing" | | 2 | "His once-boyish face bore the" | | 3 | "She steeled herself, focusing on" | | 4 | "She placed the order on" | | 5 | "Her voice held an edge," | | 6 | "She moved to leave—the air" | | 7 | "Her silence answered his plea" | | 8 | "She glanced at his hand," | | 9 | "He gestured to the vacant" | | 10 | "he asked, semaphore of shared" | | 11 | "she said, feeling the reluctance" | | 12 | "She sipped her drink, feeling" | | 13 | "he started, not looking directly" | | 14 | "She met his gaze, those" | | 15 | "He nodded, a nonchalant tilt" | | 16 | "He shifted, revealing the worn" | | 17 | "he shrugged, though there was" | | 18 | "Her voice carried just a" | | 19 | "His lips lingered on the" |
| | ratio | 0.508 | |
| 39.37% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 53 | | totalSentences | 63 | | matches | | 0 | "Aurora Carter’s grip on the" | | 1 | "The sound of clinking glasses" | | 2 | "Her delivery tonight struck her" | | 3 | "Magic always thrived in the" | | 4 | "She glanced at the flashing" | | 5 | "Evan Hartley leaned casually against" | | 6 | "His once-boyish face bore the" | | 7 | "An expensive-looking watch peeked from" | | 8 | "Evan greeted, voice a practiced" | | 9 | "She steeled herself, focusing on" | | 10 | "She placed the order on" | | 11 | "Evan remarked, swirling the drink" | | 12 | "Her voice held an edge," | | 13 | "She moved to leave—the air" | | 14 | "Evan caught her arm lightly," | | 15 | "Her silence answered his plea" | | 16 | "She glanced at his hand," | | 17 | "He gestured to the vacant" | | 18 | "he asked, semaphore of shared" | | 19 | "she said, feeling the reluctance" |
| | ratio | 0.841 | |
| 79.37% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 63 | | matches | | 0 | "Before she could answer, the" |
| | ratio | 0.016 | |
| 87.91% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 39 | | technicalSentenceCount | 3 | | matches | | 0 | "She met his gaze, those blue eyes that spoke entire stories without a word." | | 1 | "He nodded, a nonchalant tilt of head that disguised deeper hurt." | | 2 | "Rory lingered, clutching the thin stem of her glass, warming to the truth of the moment." |
| |
| 25.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 20 | | uselessAdditionCount | 4 | | matches | | 0 | "Evan caught, his touch a ghost of forgotten days" | | 1 | "Evan murmured, trying to find a footing in the conversation’s slippery tide" | | 2 | "she said, a claim laced with sardonic vibrato" | | 3 | "he admitted, not meeting her eyes directly" |
| |
| 98.72% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 2 | | fancyTags | | 0 | "Evan murmured (murmur)" | | 1 | "he admitted (admit)" |
| | dialogueSentences | 39 | | tagDensity | 0.282 | | leniency | 0.564 | | rawRatio | 0.182 | | effectiveRatio | 0.103 | |