| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 29 | | adverbTagCount | 1 | | adverbTags | | 0 | "Silas nodded slowly [slowly]" |
| | dialogueSentences | 69 | | tagDensity | 0.42 | | leniency | 0.841 | | rawRatio | 0.034 | | effectiveRatio | 0.029 | |
| 87.96% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1661 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "softly" | | 1 | "very" | | 2 | "really" | | 3 | "slowly" |
| |
| 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) | |
| 60.87% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1661 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "fractured" | | 1 | "scanned" | | 2 | "weight" | | 3 | "glinting" | | 4 | "warmth" | | 5 | "traced" | | 6 | "silence" | | 7 | "whisper" | | 8 | "solitary" |
| |
| 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 | 69 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 69 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 109 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 39 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1650 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 47 | | wordCount | 904 | | uniqueNames | 7 | | maxNameDensity | 2.65 | | worstName | "Silas" | | maxWindowNameDensity | 5 | | worstWindowName | "Silas" | | discoveredNames | | Soho | 1 | | Raven | 1 | | Nest | 1 | | Prague | 1 | | Aurora | 18 | | Silas | 24 | | Vienna | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Aurora" | | 3 | "Silas" |
| | places | | 0 | "Soho" | | 1 | "Prague" | | 2 | "Vienna" |
| | globalScore | 0.173 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 62 | | 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 | 1650 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 109 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 46 | | mean | 35.87 | | std | 18.99 | | cv | 0.529 | | sampleLengths | | 0 | 92 | | 1 | 87 | | 2 | 28 | | 3 | 29 | | 4 | 39 | | 5 | 42 | | 6 | 35 | | 7 | 13 | | 8 | 54 | | 9 | 36 | | 10 | 4 | | 11 | 25 | | 12 | 37 | | 13 | 32 | | 14 | 12 | | 15 | 28 | | 16 | 42 | | 17 | 56 | | 18 | 37 | | 19 | 29 | | 20 | 37 | | 21 | 12 | | 22 | 24 | | 23 | 39 | | 24 | 42 | | 25 | 4 | | 26 | 43 | | 27 | 49 | | 28 | 44 | | 29 | 73 | | 30 | 24 | | 31 | 42 | | 32 | 20 | | 33 | 32 | | 34 | 5 | | 35 | 35 | | 36 | 41 | | 37 | 23 | | 38 | 47 | | 39 | 38 | | 40 | 28 | | 41 | 44 | | 42 | 54 | | 43 | 11 | | 44 | 16 | | 45 | 66 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 69 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 157 | | matches | | |
| 64.22% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 1 | | flaggedSentences | 3 | | totalSentences | 109 | | ratio | 0.028 | | matches | | 0 | "The movement brought the scent of sandalwood and gun oil—a phantom smell from his past life that never quite washed off." | | 1 | "\"You needed space.\" Silas stared at a photograph on the wall—a blurred image of a bridge in Vienna." | | 2 | "He didn't offer it to her this time; he just held it." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 911 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 23 | | adverbRatio | 0.025246981339187707 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.008781558726673985 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 109 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 109 | | mean | 15.14 | | std | 8.49 | | cv | 0.561 | | sampleLengths | | 0 | 23 | | 1 | 11 | | 2 | 31 | | 3 | 27 | | 4 | 21 | | 5 | 20 | | 6 | 29 | | 7 | 17 | | 8 | 22 | | 9 | 6 | | 10 | 8 | | 11 | 10 | | 12 | 11 | | 13 | 15 | | 14 | 24 | | 15 | 17 | | 16 | 18 | | 17 | 7 | | 18 | 26 | | 19 | 6 | | 20 | 3 | | 21 | 12 | | 22 | 1 | | 23 | 10 | | 24 | 21 | | 25 | 23 | | 26 | 23 | | 27 | 13 | | 28 | 4 | | 29 | 12 | | 30 | 13 | | 31 | 7 | | 32 | 30 | | 33 | 18 | | 34 | 14 | | 35 | 9 | | 36 | 3 | | 37 | 19 | | 38 | 9 | | 39 | 29 | | 40 | 6 | | 41 | 7 | | 42 | 11 | | 43 | 12 | | 44 | 33 | | 45 | 18 | | 46 | 19 | | 47 | 5 | | 48 | 24 | | 49 | 11 |
| |
| 67.28% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.45871559633027525 | | totalSentences | 109 | | uniqueOpeners | 50 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 69 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 15 | | totalSentences | 69 | | matches | | 0 | "She scanned the room, her" | | 1 | "His grey-streaked auburn hair caught" | | 2 | "He paused, the glass hovering" | | 3 | "She offered a tight smile" | | 4 | "He set the glass down" | | 5 | "She approached the bar, leaning" | | 6 | "He slid it across the" | | 7 | "She swirled the liquid in" | | 8 | "He gestured for her to" | | 9 | "She watched him settle, the" | | 10 | "He didn't offer it to" | | 11 | "She finished her drink in" | | 12 | "She looked back at him," | | 13 | "she said, her voice rough" | | 14 | "She pulled her collar up," |
| | ratio | 0.217 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 67 | | totalSentences | 69 | | matches | | 0 | "The green neon sign above" | | 1 | "Rain slicked the cobblestones, reflecting" | | 2 | "Aurora pushed open the heavy" | | 3 | "She scanned the room, her" | | 4 | "Silas stood behind the polished" | | 5 | "His grey-streaked auburn hair caught" | | 6 | "A slight limp marked his" | | 7 | "He paused, the glass hovering" | | 8 | "Silas said, his voice a" | | 9 | "Aurora stepped forward, water pooling" | | 10 | "She offered a tight smile" | | 11 | "He set the glass down" | | 12 | "She approached the bar, leaning" | | 13 | "The crescent-shaped scar on her" | | 14 | "Silas reached for a bottle" | | 15 | "He slid it across the" | | 16 | "Aurora wrapped her hands around" | | 17 | "Silas leaned forward, resting his" | | 18 | "The movement brought the scent" | | 19 | "Aurora took a long swallow," |
| | ratio | 0.971 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 69 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 29 | | technicalSentenceCount | 1 | | matches | | 0 | "Silas stood behind the polished bar, polishing a glass with a rag that looked cleaner than most tablecloths in the city." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 29 | | uselessAdditionCount | 8 | | matches | | 0 | "Aurora took, the whiskey biting her throat" | | 1 | "Aurora looked up, her gaze piercing" | | 2 | "Silas turned, his expression hardening" | | 3 | "Aurora's grip tightened, knuckles whitening" | | 4 | "Silas reached out, his hand hovering near her arm before pulling back" | | 5 | "Silas leaned in, his voice dropping to a whisper" | | 6 | "Aurora whispered, the anger draining out of her, leaving only exhaustion" | | 7 | "she said, her voice rough" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 1 | | fancyTags | | 0 | "Aurora whispered (whisper)" |
| | dialogueSentences | 69 | | tagDensity | 0.087 | | leniency | 0.174 | | rawRatio | 0.167 | | effectiveRatio | 0.029 | |