| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 21 | | adverbTagCount | 2 | | adverbTags | | 0 | "Malphora’s eyes glistened just [just]" | | 1 | "she said softly [softly]" |
| | dialogueSentences | 65 | | tagDensity | 0.323 | | leniency | 0.646 | | rawRatio | 0.095 | | effectiveRatio | 0.062 | |
| 74.19% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1356 | | totalAiIsmAdverbs | 7 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | adverb | "deliberately" | | count | 1 |
|
| | highlights | | 0 | "softly" | | 1 | "slightly" | | 2 | "carefully" | | 3 | "slowly" | | 4 | "deliberately" |
| |
| 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) | |
| 63.13% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1356 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "scanned" | | 1 | "warmth" | | 2 | "silence" | | 3 | "eyebrow" | | 4 | "tracing" | | 5 | "pulse" | | 6 | "weight" | | 7 | "trembled" | | 8 | "echoing" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 1 | | found | | 0 | | label | "air was thick with" | | count | 1 |
| | 1 | | label | "hung in the air" | | count | 1 |
|
| | highlights | | 0 | "the air was thick with" | | 1 | "hung in the air" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 103 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 103 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 145 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 57 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 12 | | markdownWords | 12 | | totalWords | 1337 | | ratio | 0.009 | | matches | | 0 | "don’t" | | 1 | "with" | | 2 | "are" | | 3 | "you." | | 4 | "think" | | 5 | "know." | | 6 | "gone." | | 7 | "knew." | | 8 | "them." | | 9 | "asked" | | 10 | "free." | | 11 | "us." |
| |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 24 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 51 | | wordCount | 823 | | uniqueNames | 10 | | maxNameDensity | 2.92 | | worstName | "Rory" | | maxWindowNameDensity | 5.5 | | worstWindowName | "Rory" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Soho | 1 | | Prague | 1 | | Silas | 5 | | Rory | 24 | | Silence | 2 | | Malphora | 13 | | Evan | 1 | | Laila | 2 |
| | persons | | 0 | "Raven" | | 1 | "Silas" | | 2 | "Rory" | | 3 | "Silence" | | 4 | "Malphora" | | 5 | "Evan" | | 6 | "Laila" |
| | places | | | globalScore | 0.042 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 52 | | 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 | 1337 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 145 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 77 | | mean | 17.36 | | std | 18.31 | | cv | 1.055 | | sampleLengths | | 0 | 79 | | 1 | 83 | | 2 | 6 | | 3 | 6 | | 4 | 34 | | 5 | 66 | | 6 | 2 | | 7 | 13 | | 8 | 5 | | 9 | 12 | | 10 | 19 | | 11 | 9 | | 12 | 1 | | 13 | 68 | | 14 | 9 | | 15 | 3 | | 16 | 4 | | 17 | 17 | | 18 | 8 | | 19 | 28 | | 20 | 18 | | 21 | 6 | | 22 | 15 | | 23 | 24 | | 24 | 24 | | 25 | 6 | | 26 | 18 | | 27 | 8 | | 28 | 11 | | 29 | 4 | | 30 | 31 | | 31 | 10 | | 32 | 15 | | 33 | 2 | | 34 | 3 | | 35 | 32 | | 36 | 3 | | 37 | 18 | | 38 | 6 | | 39 | 53 | | 40 | 11 | | 41 | 59 | | 42 | 11 | | 43 | 3 | | 44 | 3 | | 45 | 60 | | 46 | 8 | | 47 | 14 | | 48 | 20 | | 49 | 9 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 103 | | matches | | |
| 64.86% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 148 | | matches | | 0 | "wasn’t waiting" | | 1 | "was waiting" | | 2 | "was already walking" |
| |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 15 | | semicolonCount | 0 | | flaggedSentences | 11 | | totalSentences | 145 | | ratio | 0.076 | | matches | | 0 | "Across the bar, the bookshelf stood unmoved—its hidden mechanism silent." | | 1 | "But then—she felt it." | | 2 | "Her eyes—Rory would have known them anywhere—were the color of moss after rain." | | 3 | "The woman flinched—just slightly—at the name." | | 4 | "Laila—Malphora—stepped forward." | | 5 | "Up close, Rory could see the network of fine lines around her eyes, the scar above her left eyebrow—a clean, straight line from a blade or shrapnel." | | 6 | "She pressed her palm down, feeling the scar on her wrist beneath the fabric of her glove—the crescent-shaped ghost of a knife Evan had pressed into her skin during one of his rages." | | 7 | "Malphora laughed—a dry, broken thing." | | 8 | "Then the bookshelf behind the bar shifted—an inch, a breath—and Silas emerged, his signet ring catching the low light." | | 9 | "He paused when he saw them, his hazel eyes narrowing in recognition and something deeper—grief, calculation, sorrow." | | 10 | "And Rory understood—some vanishings weren’t forced." |
| |
| 91.25% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 840 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 42 | | adverbRatio | 0.05 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.011904761904761904 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 145 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 145 | | mean | 9.22 | | std | 8.81 | | cv | 0.955 | | sampleLengths | | 0 | 28 | | 1 | 24 | | 2 | 27 | | 3 | 22 | | 4 | 20 | | 5 | 10 | | 6 | 9 | | 7 | 22 | | 8 | 6 | | 9 | 6 | | 10 | 14 | | 11 | 3 | | 12 | 4 | | 13 | 9 | | 14 | 4 | | 15 | 16 | | 16 | 17 | | 17 | 13 | | 18 | 20 | | 19 | 2 | | 20 | 13 | | 21 | 4 | | 22 | 1 | | 23 | 6 | | 24 | 6 | | 25 | 2 | | 26 | 11 | | 27 | 6 | | 28 | 3 | | 29 | 6 | | 30 | 1 | | 31 | 2 | | 32 | 9 | | 33 | 15 | | 34 | 27 | | 35 | 6 | | 36 | 1 | | 37 | 8 | | 38 | 9 | | 39 | 3 | | 40 | 4 | | 41 | 9 | | 42 | 8 | | 43 | 8 | | 44 | 8 | | 45 | 20 | | 46 | 13 | | 47 | 5 | | 48 | 6 | | 49 | 10 |
| |
| 50.34% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.35172413793103446 | | totalSentences | 145 | | uniqueOpeners | 51 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 81 | | matches | | 0 | "Instead, she reached into her" | | 1 | "Just slid it across the" | | 2 | "Then slowly, deliberately, she tore" | | 3 | "Then the bookshelf behind the" |
| | ratio | 0.049 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 20 | | totalSentences | 81 | | matches | | 0 | "Her black coat was still" | | 1 | "She didn’t know if it" | | 2 | "She was waiting for a" | | 3 | "She lifted her eyes." | | 4 | "Her posture was rigid, military," | | 5 | "Her eyes—Rory would have known" | | 6 | "She scanned the room with" | | 7 | "She sat up straighter." | | 8 | "Her fingers curled around the" | | 9 | "Her boots clicked against the" | | 10 | "She took the seat across" | | 11 | "She looked older, but not" | | 12 | "She didn’t open it." | | 13 | "She pressed her palm down," | | 14 | "She’d never told Laila about" | | 15 | "They’d both been too afraid" | | 16 | "she said softly" | | 17 | "She stopped, her jaw tightening" | | 18 | "He paused when he saw" | | 19 | "He picked up a scrap" |
| | ratio | 0.247 | |
| 95.80% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 59 | | totalSentences | 81 | | matches | | 0 | "Rain slipped down the windows" | | 1 | "A jazz trio played with" | | 2 | "Aurora sat at a corner" | | 3 | "Her black coat was still" | | 4 | "She didn’t know if it" | | 5 | "Silas hadn’t spoken to her" | | 6 | "She was waiting for a" | | 7 | "That old awareness, like a" | | 8 | "She lifted her eyes." | | 9 | "The woman in the doorway" | | 10 | "Her posture was rigid, military," | | 11 | "Her eyes—Rory would have known" | | 12 | "She scanned the room with" | | 13 | "The voice was lower than" | | 14 | "She sat up straighter." | | 15 | "The woman flinched—just slightly—at the" | | 16 | "Her fingers curled around the" | | 17 | "Her boots clicked against the" | | 18 | "She took the seat across" | | 19 | "She looked older, but not" |
| | ratio | 0.728 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 81 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 25 | | technicalSentenceCount | 1 | | matches | | 0 | "But she was already walking away, her boots echoing against the floor, the door opening and closing behind her like the shutting of a vault." |
| |
| 77.38% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 21 | | uselessAdditionCount | 2 | | matches | | 0 | "Malphora looked down, her fingers tracing the seam of her satchel" | | 1 | "She stopped, her jaw tightening" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 13 | | fancyCount | 3 | | fancyTags | | 0 | "Rory snapped (snap)" | | 1 | "Rory whispered (whisper)" | | 2 | "she whispered (whisper)" |
| | dialogueSentences | 65 | | tagDensity | 0.2 | | leniency | 0.4 | | rawRatio | 0.231 | | effectiveRatio | 0.092 | |