| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 17 | | tagDensity | 0.471 | | leniency | 0.941 | | rawRatio | 0 | | effectiveRatio | 0 |
|
| 94.48% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 4531 | | totalAiIsmAdverbs | 5 | | found | | 0 | | | 1 | | | 2 | | adverb | "barely above a whisper" | | count | 1 |
| | 3 | |
| | highlights | | 0 | "lazily" | | 1 | "very" | | 2 | "barely above a whisper" | | 3 | "softly" |
|
|
| 100.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) |
|
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) |
|
| 61.38% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 4531 | | totalAiIsms | 35 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | word | "cast a warm glow" | | count | 1 |
| | 14 | | | 15 | | | 16 | | | 17 | | | 18 | |
| | highlights | | 0 | "echoing" | | 1 | "chaotic" | | 2 | "flicked" | | 3 | "reminder" | | 4 | "weight" | | 5 | "uncanny" | | 6 | "shattered" | | 7 | "silence" | | 8 | "echo" | | 9 | "glinting" | | 10 | "tenderness" | | 11 | "whisper" | | 12 | "traced" | | 13 | "cast a warm glow" | | 14 | "sanctuary" | | 15 | "clenching" | | 16 | "raced" | | 17 | "flickered" | | 18 | "tension" |
|
|
| 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 | 55 | | matches | (empty) |
|
| 38.96% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 2 | | narrationSentences | 55 | | filterMatches | | | hedgeMatches | |
|
| 0.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 64 | | gibberishSentences | 1 | | adjustedGibberishSentences | 1 | | longSentenceCount | 1 | | runOnParagraphCount | 0 | | giantParagraphCount | 1 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 3431 | | ratio | 0.016 | | matches | | 0 | "“I’m sorry for everything. I’m sorry for the way I hurt you. I’m sorry for the way I left you. I’m sorry for the way I made you feel. I’m sorry for the way I made you feel. I’m sor…" |
|
|
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 4529 | | ratio | 0 | | matches | (empty) |
|
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) |
|
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 18 | | wordCount | 940 | | uniqueNames | 5 | | maxNameDensity | 0.85 | | worstName | "Aurora" | | maxWindowNameDensity | 2 | | worstWindowName | "Lucien" | | discoveredNames | | Eva | 1 | | Ptolemy | 2 | | Soho | 1 | | Aurora | 8 | | Lucien | 6 |
| | persons | | 0 | "Eva" | | 1 | "Ptolemy" | | 2 | "Aurora" | | 3 | "Lucien" |
| | places | | | globalScore | 1 | | windowScore | 1 |
|
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 50 | | glossingSentenceCount | 3 | | matches | | 0 | "sound that seemed to echo from the very walls" | | 1 | "as if acknowledging his presence" | | 2 | "as if weighing the newcomer" |
|
|
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.221 | | wordCount | 4529 | | matches | | 0 | "not toward her, but toward the small table" |
|
|
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 64 | | matches | (empty) |
|
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 22 | | mean | 205.86 | | std | 705.93 | | cv | 3.429 | | sampleLengths | | 0 | 93 | | 1 | 91 | | 2 | 49 | | 3 | 82 | | 4 | 48 | | 5 | 102 | | 6 | 50 | | 7 | 39 | | 8 | 61 | | 9 | 22 | | 10 | 28 | | 11 | 64 | | 12 | 16 | | 13 | 31 | | 14 | 63 | | 15 | 36 | | 16 | 18 | | 17 | 50 | | 18 | 59 | | 19 | 27 | | 20 | 61 | | 21 | 3439 |
|
|
| 60.61% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 7 | | totalSentences | 55 | | matches | | 0 | "been used" | | 1 | "been shattered" | | 2 | "were stacked" | | 3 | "been said" | | 4 | "been left" | | 5 | "been left" | | 6 | "been shattered" | | 7 | "were filled" |
|
|
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 147 | | matches | (empty) |
|
| 53.57% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 64 | | ratio | 0.031 | | matches | | 0 | "The walls around her were a chaotic collage of books, scrolls, and research notes—each spine a promise of knowledge, each page a story waiting to be read." | | 1 | "One eye was amber, the other a deep, obsidian black—heterochromatic in a way that made him look both exotic and unsettling." |
|
|
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 942 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small, cramped living area." |
| | adverbCount | 22 | | adverbRatio | 0.02335456475583864 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.008492569002123142 |
|
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 64 | | echoCount | 0 | | echoWords | (empty) |
|
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 64 | | mean | 70.77 | | std | 423.44 | | cv | 5.984 | | sampleLengths | | 0 | 14 | | 1 | 23 | | 2 | 27 | | 3 | 29 | | 4 | 25 | | 5 | 17 | | 6 | 28 | | 7 | 21 | | 8 | 6 | | 9 | 15 | | 10 | 16 | | 11 | 12 | | 12 | 16 | | 13 | 23 | | 14 | 21 | | 15 | 22 | | 16 | 18 | | 17 | 18 | | 18 | 12 | | 19 | 3 | | 20 | 24 | | 21 | 25 | | 22 | 30 | | 23 | 20 | | 24 | 9 | | 25 | 15 | | 26 | 26 | | 27 | 11 | | 28 | 23 | | 29 | 5 | | 30 | 9 | | 31 | 28 | | 32 | 24 | | 33 | 16 | | 34 | 6 | | 35 | 6 | | 36 | 22 | | 37 | 1 | | 38 | 20 | | 39 | 43 | | 40 | 11 | | 41 | 5 | | 42 | 4 | | 43 | 27 | | 44 | 20 | | 45 | 23 | | 46 | 20 | | 47 | 8 | | 48 | 21 | | 49 | 7 |
|
|
| 37.50% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.25 | | totalSentences | 64 | | uniqueOpeners | 16 |
|
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 54 | | matches | (empty) | | ratio | 0 |
|
| 34.81% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 25 | | totalSentences | 54 | | matches | | 0 | "Her bright blue eyes flicked" | | 1 | "It was sharp, almost impatient," | | 2 | "She turned, heart thudding in" | | 3 | "He was taller than she" | | 4 | "He lifted a hand, palm" | | 5 | "he said, his voice low" | | 6 | "She had not seen him" | | 7 | "She remembered the way his" | | 8 | "She remembered the way she" | | 9 | "she managed, her voice barely" | | 10 | "He stepped forward, the cane" | | 11 | "he said, his amber eye" | | 12 | "She could almost hear the" | | 13 | "she replied, her hands clenching" | | 14 | "she said, her voice cracking" | | 15 | "She looked at him, at" | | 16 | "He was a half‑demon, a" | | 17 | "He was also a man" | | 18 | "He leapt from the windowsill," | | 19 | "He flicked his tail, a" |
| | ratio | 0.463 |
|
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 52 | | totalSentences | 54 | | matches | | 0 | "Aurora paused mid‑stir, the faint" | | 1 | "Steam curled from the pot," | | 2 | "The walls around her were" | | 3 | "Her bright blue eyes flicked" | | 4 | "The front door was a" | | 5 | "The wooden latch creaked under" | | 6 | "Aurora had spent the last" | | 7 | "The cat, a tabby named" | | 8 | "A sudden knock shattered the" | | 9 | "It was sharp, almost impatient," | | 10 | "Aurora’s fingers tightened around the" | | 11 | "She turned, heart thudding in" | | 12 | "Lucien stood there, his charcoal" | | 13 | "He was taller than she" | | 14 | "He lifted a hand, palm" | | 15 | "he said, his voice low" | | 16 | "The cat flicked its tail," | | 17 | "Aurora’s breath caught." | | 18 | "She had not seen him" | | 19 | "The argument had been a" |
| | ratio | 0.963 |
|
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 54 | | matches | (empty) | | ratio | 0 |
|
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 39 | | technicalSentenceCount | 12 | | matches | | 0 | "Steam curled from the pot, a silver thread that tangled with the faint scent of cumin drifting up from the curry house below." | | 1 | "Her bright blue eyes flicked to the small crescent‑shaped scar on her left wrist, a reminder of a childhood accident that had taught her to keep her hands stead…" | | 2 | "Aurora had spent the last few weeks here, staying with Eva, the quiet librarian who had an uncanny knack for finding the right book at the right time." | | 3 | "It was sharp, almost impatient, a sound that seemed to echo from the very walls." | | 4 | "One eye was amber, the other a deep, obsidian black—heterochromatic in a way that made him look both exotic and unsettling." | | 5 | "In his left hand, he held an ivory‑handed cane that concealed a thin blade, the tip glinting like a promise of danger." | | 6 | "He lifted a hand, palm open, and the deadbolts gave a soft click as if acknowledging his presence." | | 7 | "The argument had been a cascade of accusations, a storm of hurt words, and a silence that had left both of them raw and broken." | | 8 | "She remembered the way his amber eye had flicked over her, the way his fingers had brushed her cheek in a moment of tenderness that had been shattered by anger." | | 9 | "Books were stacked in precarious piles, scrolls unfurled on a worn table, and a small lamp cast a warm glow that made the room feel like a sanctuary." | | 10 | "He was a half‑demon, a fixer in the supernatural underworld, a man who spoke four languages and moved through shadows like a whisper." | | 11 | "Aurora’s thoughts drifted to the night they had argued, to the way his amber eye had flickered over her, to the way his fingers had brushed her cheek in a momen…" |
|
|
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 6 | | matches | | 0 | "she managed, her voice barely above a whisper" | | 1 | "she replied, her hands clenching into fists at her sides" | | 2 | "she said, her voice cracking" | | 3 | "Aurora said, her voice low" | | 4 | "she said, her voice barely audible" | | 5 | "he whispered, his voice barely audible" |
|
|
| 91.18% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 1 | | fancyTags | | 0 | "he whispered (whisper)" |
| | dialogueSentences | 17 | | tagDensity | 0.412 | | leniency | 0.824 | | rawRatio | 0.143 | | effectiveRatio | 0.118 |
|