| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 1 | | adverbTags | | 0 | "she said abruptly [abruptly]" |
| | dialogueSentences | 32 | | tagDensity | 0.438 | | leniency | 0.875 | | rawRatio | 0.071 | | effectiveRatio | 0.063 | |
| 92.97% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1422 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 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) | |
| 47.26% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1422 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "whisper" | | 1 | "gleaming" | | 2 | "tracing" | | 3 | "etched" | | 4 | "silence" | | 5 | "weight" | | 6 | "crystal" | | 7 | "beacon" | | 8 | "pulsed" | | 9 | "traced" | | 10 | "reminder" |
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| 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 | 111 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 111 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 129 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1408 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 18 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 29 | | wordCount | 1245 | | uniqueNames | 16 | | maxNameDensity | 0.32 | | worstName | "Carter" | | maxWindowNameDensity | 1 | | worstWindowName | "Cardiff" | | discoveredNames | | Carter | 4 | | Raven | 1 | | Nest | 1 | | Frith | 2 | | Street | 2 | | Aurora | 3 | | London | 2 | | Rory | 3 | | Cardiff | 2 | | Mr | 1 | | Silas | 3 | | Evan | 1 | | Golden | 1 | | Empress | 1 | | Prague | 1 | | Home | 1 |
| | persons | | 0 | "Carter" | | 1 | "Aurora" | | 2 | "Rory" | | 3 | "Mr" | | 4 | "Silas" | | 5 | "Evan" |
| | places | | 0 | "Raven" | | 1 | "Frith" | | 2 | "Street" | | 3 | "London" | | 4 | "Cardiff" | | 5 | "Prague" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 79 | | 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 | 1408 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 129 | | matches | | 0 | "forgotten that limp" | | 1 | "let that rest" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 42 | | mean | 33.52 | | std | 19.86 | | cv | 0.592 | | sampleLengths | | 0 | 86 | | 1 | 53 | | 2 | 64 | | 3 | 5 | | 4 | 49 | | 5 | 18 | | 6 | 59 | | 7 | 46 | | 8 | 18 | | 9 | 16 | | 10 | 12 | | 11 | 27 | | 12 | 29 | | 13 | 47 | | 14 | 68 | | 15 | 27 | | 16 | 38 | | 17 | 12 | | 18 | 27 | | 19 | 68 | | 20 | 27 | | 21 | 42 | | 22 | 8 | | 23 | 20 | | 24 | 36 | | 25 | 29 | | 26 | 8 | | 27 | 46 | | 28 | 56 | | 29 | 20 | | 30 | 12 | | 31 | 46 | | 32 | 10 | | 33 | 18 | | 34 | 55 | | 35 | 13 | | 36 | 48 | | 37 | 23 | | 38 | 12 | | 39 | 35 | | 40 | 55 | | 41 | 20 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 111 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 222 | | matches | | 0 | "was writing" | | 1 | "wasn’t teaching" | | 2 | "wasn’t looking" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 14 | | semicolonCount | 0 | | flaggedSentences | 10 | | totalSentences | 129 | | ratio | 0.078 | | matches | | 0 | "She’d only been chasing a whisper of something—closure, maybe—and found herself on Frith Street without a plan." | | 1 | "He looked down at the journal he was writing in—small neat scrawl she recognized—and she froze." | | 2 | "“It’s been a while, Rory,” he said, and his limp caught her eye—still there, still tilting his stance." | | 3 | "Of all the people she’d met in London—among them angels and knaves—he was the only one who’d called her Rory without hesitation." | | 4 | "The scar on his knee showed through his trousers when he crossed one leg—she’d never forgotten that limp, the way he’d winced when he thought she wasn’t looking." | | 5 | "Cardiff had held too many ghosts—her father’s disappointment, the bruises from Evan’s fists, her mother’s whispered pleas." | | 6 | "They hadn’t gone down this road—she hadn’t planned this, had come only to ask for a locksmith’s number." | | 7 | "She closed her eyes and let the hum of the bar fill her—felt the ridges of the wood beneath her palm, smelled lemon and old stone." | | 8 | "She’d built walls around herself—laws to practice, an ex to outrun, endless deliveries to make." | | 9 | "He smiled—small, real—and nodded." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1267 | | adjectiveStacks | 1 | | stackExamples | | 0 | "behind half-finished degrees" |
| | adverbCount | 39 | | adverbRatio | 0.030781373322809787 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.006314127861089187 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 129 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 129 | | mean | 10.91 | | std | 6.94 | | cv | 0.635 | | sampleLengths | | 0 | 29 | | 1 | 9 | | 2 | 24 | | 3 | 7 | | 4 | 17 | | 5 | 14 | | 6 | 19 | | 7 | 16 | | 8 | 4 | | 9 | 2 | | 10 | 17 | | 11 | 15 | | 12 | 3 | | 13 | 27 | | 14 | 5 | | 15 | 17 | | 16 | 3 | | 17 | 18 | | 18 | 11 | | 19 | 18 | | 20 | 11 | | 21 | 12 | | 22 | 14 | | 23 | 22 | | 24 | 3 | | 25 | 28 | | 26 | 7 | | 27 | 8 | | 28 | 3 | | 29 | 10 | | 30 | 5 | | 31 | 6 | | 32 | 10 | | 33 | 1 | | 34 | 5 | | 35 | 6 | | 36 | 19 | | 37 | 8 | | 38 | 23 | | 39 | 3 | | 40 | 3 | | 41 | 10 | | 42 | 27 | | 43 | 2 | | 44 | 3 | | 45 | 1 | | 46 | 4 | | 47 | 19 | | 48 | 13 | | 49 | 5 |
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| 57.36% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.3953488372093023 | | totalSentences | 129 | | uniqueOpeners | 51 | |
| 67.34% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 99 | | matches | | 0 | "Then he tilted his head." | | 1 | "Somewhere in the back room," |
| | ratio | 0.02 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 58 | | totalSentences | 99 | | matches | | 0 | "She hadn’t meant to come" | | 1 | "She’d only been chasing a" | | 2 | "His hair was streaked with" | | 3 | "He looked down at the" | | 4 | "She stepped forward." | | 5 | "she said, voice low" | | 6 | "He closed the leather-bound journal" | | 7 | "He didn’t stand." | | 8 | "He simply set the pen" | | 9 | "he said, and his limp" | | 10 | "Her heart thudded so loud" | | 11 | "She’d hidden behind Aurora Carter" | | 12 | "She folded her hands in" | | 13 | "She pressed her palm to" | | 14 | "He studied her." | | 15 | "She drew back as if" | | 16 | "She slid onto a stool" | | 17 | "He popped the cap off" | | 18 | "She glanced at the glass," | | 19 | "She used to watch him" |
| | ratio | 0.586 | |
| 55.96% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 80 | | totalSentences | 99 | | matches | | 0 | "Aurora Carter pushed through the" | | 1 | "Rain drummed against the windows" | | 2 | "She hadn’t meant to come" | | 3 | "She’d only been chasing a" | | 4 | "A tall man at the" | | 5 | "His hair was streaked with" | | 6 | "He looked down at the" | | 7 | "Hazel eyes met hers." | | 8 | "Time stretched and contracted all" | | 9 | "The bar was the same," | | 10 | "She stepped forward." | | 11 | "The polished wood beneath her" | | 12 | "she said, voice low" | | 13 | "He closed the leather-bound journal" | | 14 | "He didn’t stand." | | 15 | "He simply set the pen" | | 16 | "he said, and his limp" | | 17 | "Her heart thudded so loud" | | 18 | "She’d hidden behind Aurora Carter" | | 19 | "She folded her hands in" |
| | ratio | 0.808 | |
| 50.51% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 99 | | matches | | 0 | "Now she realized she’d been" |
| | ratio | 0.01 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 55 | | technicalSentenceCount | 1 | | matches | | 0 | "The polished wood beneath her fingertips felt alive, humming under the pulsing neon, and a hush settled over the other patrons as if they, too, recognized him." |
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| 53.57% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 2 | | matches | | 0 | "she said, voice low" | | 1 | "she said, voice cracking" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 12 | | fancyCount | 1 | | fancyTags | | 0 | "she whispered (whisper)" |
| | dialogueSentences | 32 | | tagDensity | 0.375 | | leniency | 0.75 | | rawRatio | 0.083 | | effectiveRatio | 0.063 | |