| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 1 | | adverbTags | | 0 | "she said carefully [carefully]" |
| | dialogueSentences | 43 | | tagDensity | 0.349 | | leniency | 0.698 | | rawRatio | 0.067 | | effectiveRatio | 0.047 | |
| 88.71% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1329 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "slightly" | | 1 | "carefully" | | 2 | "slowly" |
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| 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) | |
| 62.38% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1329 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "echoing" | | 1 | "testament" | | 2 | "pulse" | | 3 | "weight" | | 4 | "whisper" | | 5 | "familiar" | | 6 | "trembled" | | 7 | "disrupting" | | 8 | "echoed" |
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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 | 1 | | narrationSentences | 65 | | matches | | |
| 76.92% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 1 | | narrationSentences | 65 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 93 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 36 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1323 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 29 | | wordCount | 1011 | | uniqueNames | 14 | | maxNameDensity | 0.69 | | worstName | "Silas" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Silas" | | discoveredNames | | Raven | 1 | | Nest | 1 | | London | 2 | | Carter | 2 | | Yu-Fei | 2 | | Golden | 1 | | Empress | 1 | | Evan | 2 | | Blackwood | 2 | | Prague | 1 | | Eva | 1 | | Laila | 1 | | Aurora | 5 | | Silas | 7 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Carter" | | 3 | "Yu-Fei" | | 4 | "Evan" | | 5 | "Blackwood" | | 6 | "Eva" | | 7 | "Laila" | | 8 | "Aurora" | | 9 | "Silas" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 56 | | glossingSentenceCount | 1 | | matches | | 0 | "felt like the heart of the bar, a place" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1323 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 93 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 45 | | mean | 29.4 | | std | 25.08 | | cv | 0.853 | | sampleLengths | | 0 | 88 | | 1 | 104 | | 2 | 57 | | 3 | 5 | | 4 | 12 | | 5 | 82 | | 6 | 17 | | 7 | 63 | | 8 | 50 | | 9 | 40 | | 10 | 4 | | 11 | 18 | | 12 | 35 | | 13 | 37 | | 14 | 20 | | 15 | 23 | | 16 | 9 | | 17 | 13 | | 18 | 31 | | 19 | 14 | | 20 | 54 | | 21 | 9 | | 22 | 7 | | 23 | 32 | | 24 | 3 | | 25 | 6 | | 26 | 78 | | 27 | 5 | | 28 | 21 | | 29 | 5 | | 30 | 43 | | 31 | 53 | | 32 | 4 | | 33 | 3 | | 34 | 4 | | 35 | 40 | | 36 | 28 | | 37 | 2 | | 38 | 40 | | 39 | 19 | | 40 | 22 | | 41 | 31 | | 42 | 8 | | 43 | 49 | | 44 | 35 |
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| 99.87% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 65 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 190 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 93 | | ratio | 0.075 | | matches | | 0 | "Inside, the air hung thick with the ghosts of a thousand conversations—whiskey fumes mingling with pipe smoke, the metallic tang of old blood spilled on these floorboards during the war years." | | 1 | "The slight limp in his left leg was more pronounced now, a testament to the knee injury from Prague fifty-three years ago—give or take a few months." | | 2 | "He pushed through his coat, revealing the silver signet ring on his right hand—a mark he'd worn since the day he'd retired from whatever shadow games had kept him alive." | | 3 | "Silas laughed, but it was softer than she remembered—less a weapon, more a release." | | 4 | "The familiar scent of aged wood and polished glass filled her senses—reminding her of evenings spent here as a teenager, stealing drinks and secrets from the man who'd once been her father's closest friend." | | 5 | "They'd been inseparable once—she and Silas, sneaking out of their respective worlds to drink cheap beer behind the university library and dream of places they'd never go." | | 6 | "Outside, the rain continued its steady drumming against the windows, and somewhere in the distance, a train whistle echoed through the London night—a sound that meant both endings and beginnings, depending on how you listened." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1026 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 24 | | adverbRatio | 0.023391812865497075 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.008771929824561403 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 93 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 93 | | mean | 14.23 | | std | 9.07 | | cv | 0.638 | | sampleLengths | | 0 | 23 | | 1 | 31 | | 2 | 17 | | 3 | 17 | | 4 | 19 | | 5 | 23 | | 6 | 31 | | 7 | 31 | | 8 | 17 | | 9 | 21 | | 10 | 19 | | 11 | 5 | | 12 | 12 | | 13 | 8 | | 14 | 17 | | 15 | 30 | | 16 | 27 | | 17 | 12 | | 18 | 5 | | 19 | 30 | | 20 | 25 | | 21 | 8 | | 22 | 9 | | 23 | 1 | | 24 | 23 | | 25 | 17 | | 26 | 13 | | 27 | 20 | | 28 | 7 | | 29 | 4 | | 30 | 15 | | 31 | 3 | | 32 | 14 | | 33 | 21 | | 34 | 10 | | 35 | 20 | | 36 | 7 | | 37 | 14 | | 38 | 6 | | 39 | 9 | | 40 | 14 | | 41 | 3 | | 42 | 6 | | 43 | 8 | | 44 | 5 | | 45 | 2 | | 46 | 4 | | 47 | 25 | | 48 | 14 | | 49 | 8 |
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| 68.46% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.43010752688172044 | | totalSentences | 93 | | uniqueOpeners | 40 | |
| 53.76% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 62 | | matches | | 0 | "Then he was moving toward" |
| | ratio | 0.016 | |
| 65.16% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 24 | | totalSentences | 62 | | matches | | 0 | "She'd worked this shift for" | | 1 | "She paused there for a" | | 2 | "His hazel eyes, sharp despite" | | 3 | "she said, the nickname catching" | | 4 | "He pushed through his coat," | | 5 | "His gaze drifted past her" | | 6 | "she said, turning fully to" | | 7 | "He moved closer, his boots" | | 8 | "She kept her voice neutral," | | 9 | "He nodded toward the kitchen" | | 10 | "His voice dropped to a" | | 11 | "she said carefully" | | 12 | "He ran a hand along" | | 13 | "he said without looking at" | | 14 | "He finally turned, and she" | | 15 | "They'd been inseparable once—she and" | | 16 | "He'd been the one who'd" | | 17 | "His laugh was bitter." | | 18 | "He crouched down to meet" | | 19 | "He stood, straightening slowly" |
| | ratio | 0.387 | |
| 48.71% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 51 | | totalSentences | 62 | | matches | | 0 | "The green neon sign of" | | 1 | "Maps adorned the walls in" | | 2 | "Aurora Carter pulled the last" | | 3 | "The small crescent-shaped scar on" | | 4 | "She'd worked this shift for" | | 5 | "The bookshelf creaked as she" | | 6 | "She paused there for a" | | 7 | "This space always felt like" | | 8 | "The voice came from the" | | 9 | "Aurora turned, her heart giving" | | 10 | "Silas Blackwood stood framed in" | | 11 | "His hazel eyes, sharp despite" | | 12 | "The slight limp in his" | | 13 | "she said, the nickname catching" | | 14 | "He pushed through his coat," | | 15 | "His gaze drifted past her" | | 16 | "The nickname landed like a" | | 17 | "The name Eva had given" | | 18 | "Names were armor, and she'd" | | 19 | "she said, turning fully to" |
| | ratio | 0.823 | |
| 80.65% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 62 | | matches | | | ratio | 0.016 | |
| 23.81% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 36 | | technicalSentenceCount | 6 | | matches | | 0 | "At twenty-five, she carried herself with the careful precision of someone who had learned to measure her movements against the threat of violence." | | 1 | "His hazel eyes, sharp despite the years between them, took in her entire form with the analytical precision of someone who had watched people break and rebuild …" | | 2 | "The familiar scent of aged wood and polished glass filled her senses—reminding her of evenings spent here as a teenager, stealing drinks and secrets from the ma…" | | 3 | "Names she'd given to lovers who didn't last, relationships built on lies and half-truths." | | 4 | "Behind him, the bookshelf creaked shut, sealing away the room where they'd nearly spoken the words that had been waiting five years to be said." | | 5 | "Outside, the rain continued its steady drumming against the windows, and somewhere in the distance, a train whistle echoed through the London night—a sound that…" |
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| 58.33% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 2 | | matches | | 0 | "she said, the nickname catching in her throat like a stone" | | 1 | "She kept, but her pulse hammered against her ribs" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 43 | | tagDensity | 0.116 | | leniency | 0.233 | | rawRatio | 0 | | effectiveRatio | 0 | |