| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 3 | | adverbTags | | 0 | "Rory said lightly [lightly]" | | 1 | "Rory said finally [finally]" | | 2 | "he asked mildly [mildly]" |
| | dialogueSentences | 20 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0.3 | | effectiveRatio | 0.3 | |
| 60.85% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 894 | | totalAiIsmAdverbs | 7 | | found | | | highlights | | 0 | "slowly" | | 1 | "slightly" | | 2 | "perfectly" | | 3 | "carefully" | | 4 | "lightly" |
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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) | |
| 10.51% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 894 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "familiar" | | 1 | "methodical" | | 2 | "footsteps" | | 3 | "flickered" | | 4 | "flicked" | | 5 | "stomach" | | 6 | "perfect" | | 7 | "tracing" | | 8 | "weight" | | 9 | "unspoken" | | 10 | "could feel" | | 11 | "tension" | | 12 | "silence" | | 13 | "pang" | | 14 | "glinting" |
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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 | 63 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 63 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 72 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 37 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 886 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 53 | | wordCount | 809 | | uniqueNames | 10 | | maxNameDensity | 3.21 | | worstName | "Rory" | | maxWindowNameDensity | 5 | | worstWindowName | "Rory" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Friday | 1 | | Silas | 5 | | Rory | 26 | | Evie | 15 | | Counselor | 1 | | Sinclair | 1 | | Esq | 1 | | London | 1 |
| | persons | | 0 | "Nest" | | 1 | "Silas" | | 2 | "Rory" | | 3 | "Evie" | | 4 | "Sinclair" | | 5 | "Esq" |
| | places | | | globalScore | 0 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 51 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 886 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 72 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 31 | | mean | 28.58 | | std | 18.42 | | cv | 0.645 | | sampleLengths | | 0 | 67 | | 1 | 55 | | 2 | 45 | | 3 | 16 | | 4 | 53 | | 5 | 10 | | 6 | 44 | | 7 | 13 | | 8 | 18 | | 9 | 10 | | 10 | 46 | | 11 | 27 | | 12 | 60 | | 13 | 12 | | 14 | 14 | | 15 | 42 | | 16 | 30 | | 17 | 49 | | 18 | 7 | | 19 | 10 | | 20 | 13 | | 21 | 34 | | 22 | 12 | | 23 | 31 | | 24 | 56 | | 25 | 22 | | 26 | 3 | | 27 | 37 | | 28 | 5 | | 29 | 14 | | 30 | 31 |
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| 94.12% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 63 | | matches | | 0 | "been destined" | | 1 | "being graded" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 130 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 72 | | ratio | 0.097 | | matches | | 0 | "He nodded at her without looking up—their usual greeting." | | 1 | "\"Gin and tonic, please, Silas,\" came a voice from over her shoulder—low, confident, and achingly familiar." | | 2 | "Her gaze snapped to Rory's face, then dropped to the crescent-shaped scar on her wrist—the one that matched Rory's own." | | 3 | "Rory watched as her old friend—no, acquaintance now—took the stool beside her with perfect posture, her suit jacket falling into immaculate lines." | | 4 | "Rory felt the weight of every unspoken thing between them—the late-night study sessions, the whispered secrets, the way Evie had been the first to notice the bruises Rory tried to hide." | | 5 | "The corner of Evie's mouth twitched—almost a smile, but not quite." | | 6 | "Rory could almost see the cracks in her polished exterior—the way her breath hitched just slightly as she adjusted her jacket, the tremor in her fingers as she left a twenty-pound note on the bar." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 825 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 33 | | adverbRatio | 0.04 | | lyAdverbCount | 13 | | lyAdverbRatio | 0.01575757575757576 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 72 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 72 | | mean | 12.31 | | std | 7.78 | | cv | 0.632 | | sampleLengths | | 0 | 21 | | 1 | 30 | | 2 | 16 | | 3 | 10 | | 4 | 17 | | 5 | 19 | | 6 | 9 | | 7 | 28 | | 8 | 17 | | 9 | 16 | | 10 | 3 | | 11 | 25 | | 12 | 25 | | 13 | 10 | | 14 | 11 | | 15 | 20 | | 16 | 13 | | 17 | 7 | | 18 | 6 | | 19 | 13 | | 20 | 5 | | 21 | 10 | | 22 | 4 | | 23 | 18 | | 24 | 11 | | 25 | 13 | | 26 | 4 | | 27 | 23 | | 28 | 1 | | 29 | 2 | | 30 | 10 | | 31 | 22 | | 32 | 13 | | 33 | 12 | | 34 | 12 | | 35 | 10 | | 36 | 4 | | 37 | 6 | | 38 | 5 | | 39 | 31 | | 40 | 6 | | 41 | 24 | | 42 | 7 | | 43 | 24 | | 44 | 18 | | 45 | 7 | | 46 | 7 | | 47 | 3 | | 48 | 10 | | 49 | 3 |
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| 85.65% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 0 | | diversityRatio | 0.5138888888888888 | | totalSentences | 72 | | uniqueOpeners | 37 | |
| 54.64% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 61 | | matches | | 0 | "Instead, she took a slow" |
| | ratio | 0.016 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 8 | | totalSentences | 61 | | matches | | 0 | "She'd come straight from her" | | 1 | "He nodded at her without" | | 2 | "Her gaze snapped to Rory's" | | 3 | "He pushed the drink toward" | | 4 | "She could feel Silas watching" | | 5 | "She reached into her pocket" | | 6 | "She tucked it into her" | | 7 | "he asked mildly" |
| | ratio | 0.131 | |
| 33.77% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 52 | | totalSentences | 61 | | matches | | 0 | "The green neon sign buzzed" | | 1 | "Rory adjusted the strap of" | | 2 | "She'd come straight from her" | | 3 | "The bar was quieter than" | | 4 | "He nodded at her without" | | 5 | "Rory slid onto a stool" | | 6 | "Something about the sound of" | | 7 | "Rory turned slowly." | | 8 | "The woman standing there wore" | | 9 | "The nickname slipped out before" | | 10 | "The woman's perfectly manicured fingers" | | 11 | "Her gaze snapped to Rory's" | | 12 | "A dozen microexpressions flickered across" | | 13 | "Evie's voice had gone flat" | | 14 | "Silas set Rory's usual whiskey" | | 15 | "Rory said at the same" | | 16 | "An awkward beat passed." | | 17 | "Evie's gaze flicked to Rory's" | | 18 | "Rory resisted the urge to" | | 19 | "Silas cleared his throat." |
| | ratio | 0.852 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 61 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 39 | | technicalSentenceCount | 1 | | matches | | 0 | "The woman standing there wore a tailored navy suit, her blonde hair cropped close to her skull in a sleek bob that screamed expensive salon." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 20 | | tagDensity | 0.3 | | leniency | 0.6 | | rawRatio | 0 | | effectiveRatio | 0 | |