| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 32 | | tagDensity | 0.031 | | leniency | 0.063 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 85.69% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1048 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "suddenly" | | 1 | "slowly" | | 2 | "truly" |
| |
| 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) | |
| 66.60% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1048 | | totalAiIsms | 7 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | word | "down her spine" | | count | 1 |
|
| | highlights | | 0 | "rhythmic" | | 1 | "scanning" | | 2 | "velvet" | | 3 | "sanctuary" | | 4 | "whisper" | | 5 | "down her spine" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
|
| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 54 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 54 | | filterMatches | (empty) | | hedgeMatches | | |
| 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 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 34 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1048 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 1 | | unquotedAttributions | 0 | | matches | (empty) | |
| 16.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 40 | | wordCount | 687 | | uniqueNames | 9 | | maxNameDensity | 2.62 | | worstName | "Rory" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Rory" | | discoveredNames | | Soho | 1 | | Rory | 18 | | Golden | 1 | | Empress | 1 | | Raven | 1 | | Nest | 1 | | Eva | 10 | | Silas | 5 | | Blackwood | 2 |
| | persons | | 0 | "Rory" | | 1 | "Raven" | | 2 | "Nest" | | 3 | "Eva" | | 4 | "Silas" | | 5 | "Blackwood" |
| | places | | | globalScore | 0.19 | | windowScore | 0.167 | |
| 94.44% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 45 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like polished flint" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.954 | | wordCount | 1048 | | matches | | 0 | "not sitting, but leaning in just enough to let the scent of expensive, floral" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 85 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 52 | | mean | 20.15 | | std | 16.96 | | cv | 0.842 | | sampleLengths | | 0 | 39 | | 1 | 50 | | 2 | 46 | | 3 | 12 | | 4 | 13 | | 5 | 1 | | 6 | 38 | | 7 | 11 | | 8 | 7 | | 9 | 42 | | 10 | 18 | | 11 | 11 | | 12 | 25 | | 13 | 9 | | 14 | 14 | | 15 | 4 | | 16 | 12 | | 17 | 95 | | 18 | 14 | | 19 | 13 | | 20 | 17 | | 21 | 6 | | 22 | 34 | | 23 | 2 | | 24 | 19 | | 25 | 28 | | 26 | 5 | | 27 | 13 | | 28 | 54 | | 29 | 6 | | 30 | 6 | | 31 | 28 | | 32 | 13 | | 33 | 19 | | 34 | 24 | | 35 | 11 | | 36 | 17 | | 37 | 20 | | 38 | 27 | | 39 | 11 | | 40 | 14 | | 41 | 2 | | 42 | 26 | | 43 | 27 | | 44 | 3 | | 45 | 5 | | 46 | 25 | | 47 | 2 | | 48 | 26 | | 49 | 11 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 54 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 110 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 85 | | ratio | 0 | | matches | (empty) | |
| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 691 | | adjectiveStacks | 2 | | stackExamples | | 0 | "small crescent-shaped scar" | | 1 | "slight, rhythmic limp, his" |
| | adverbCount | 24 | | adverbRatio | 0.03473227206946455 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.011577424023154847 | |
| 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 | 12.33 | | std | 7.5 | | cv | 0.608 | | sampleLengths | | 0 | 24 | | 1 | 15 | | 2 | 20 | | 3 | 4 | | 4 | 26 | | 5 | 10 | | 6 | 16 | | 7 | 20 | | 8 | 12 | | 9 | 4 | | 10 | 9 | | 11 | 1 | | 12 | 8 | | 13 | 30 | | 14 | 11 | | 15 | 7 | | 16 | 9 | | 17 | 14 | | 18 | 19 | | 19 | 18 | | 20 | 11 | | 21 | 14 | | 22 | 11 | | 23 | 9 | | 24 | 3 | | 25 | 11 | | 26 | 4 | | 27 | 12 | | 28 | 9 | | 29 | 9 | | 30 | 22 | | 31 | 32 | | 32 | 23 | | 33 | 14 | | 34 | 13 | | 35 | 17 | | 36 | 6 | | 37 | 34 | | 38 | 2 | | 39 | 11 | | 40 | 8 | | 41 | 8 | | 42 | 9 | | 43 | 11 | | 44 | 5 | | 45 | 13 | | 46 | 12 | | 47 | 16 | | 48 | 26 | | 49 | 6 |
| |
| 48.24% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.35294117647058826 | | totalSentences | 85 | | uniqueOpeners | 30 | |
| 61.73% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 54 | | matches | | 0 | "Dim green light from the" |
| | ratio | 0.019 | |
| 49.63% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 23 | | totalSentences | 54 | | matches | | 0 | "She wore a tailored charcoal" | | 1 | "It landed with a wet" | | 2 | "She stopped at the bar," | | 3 | "She looked at Rory's attire," | | 4 | "Her gaze lingered on Rory's" | | 5 | "She didn't light one, simply" | | 6 | "She gripped the edge of" | | 7 | "It was a sanctuary for" | | 8 | "She stepped back, nearly colliding" | | 9 | "He walked with a slight," | | 10 | "He wore a heavy tweed" | | 11 | "He didn't smile." | | 12 | "He didn't offer a greeting." | | 13 | "He simply stood there, his" | | 14 | "She turned her head slowly" | | 15 | "She reached out, as if" | | 16 | "She looked around the bar" | | 17 | "They were trembling." | | 18 | "She shoved them into her" | | 19 | "She paused at the threshold," |
| | ratio | 0.426 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 51 | | totalSentences | 54 | | matches | | 0 | "Rory slid a heavy glass" | | 1 | "The regular, a man with" | | 2 | "The bell above the door" | | 3 | "A woman stepped inside." | | 4 | "She wore a tailored charcoal" | | 5 | "Rory froze, the damp cloth" | | 6 | "The woman stopped ten feet" | | 7 | "The bright blue of Rory's" | | 8 | "Rory dropped the cloth." | | 9 | "It landed with a wet" | | 10 | "The woman approached, her movements" | | 11 | "She stopped at the bar," | | 12 | "Eva smiled, but the expression" | | 13 | "She looked at Rory's attire," | | 14 | "Her gaze lingered on Rory's" | | 15 | "Eva reached into her leather" | | 16 | "She didn't light one, simply" | | 17 | "Rory's posture stiffened." | | 18 | "She gripped the edge of" | | 19 | "Rory looked away, her gaze" |
| | ratio | 0.944 | |
| 92.59% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 54 | | matches | | 0 | "Before Rory could scream or" |
| | ratio | 0.019 | |
| 99.57% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 33 | | technicalSentenceCount | 2 | | matches | | 0 | "She wore a tailored charcoal wool coat that cost more than Rory's annual rent, and her heels clicked against the floorboards with a rhythmic, predatory precisio…" | | 1 | "Dim green light from the neon sign outside bled through the windows, casting a sickly hue over the mismatched wooden chairs and the heavy velvet curtains that s…" |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 1 | | matches | | 0 | "Eva leaned, her voice dropping to a whisper" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |