| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 1 | | adverbTags | | 0 | "She turned back [back]" |
| | dialogueSentences | 54 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0.056 | | effectiveRatio | 0.037 | |
| 77.05% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1525 | | totalAiIsmAdverbs | 7 | | found | | | highlights | | 0 | "slowly" | | 1 | "really" | | 2 | "carefully" | | 3 | "precisely" | | 4 | "utterly" |
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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) | |
| 50.82% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1525 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "warmth" | | 1 | "methodical" | | 2 | "flicked" | | 3 | "familiar" | | 4 | "footsteps" | | 5 | "intensity" | | 6 | "could feel" | | 7 | "processed" | | 8 | "flickered" | | 9 | "stomach" | | 10 | "traced" | | 11 | "weight" | | 12 | "silence" |
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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 | 96 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 96 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 132 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 47 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1514 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 37 | | wordCount | 1069 | | uniqueNames | 15 | | maxNameDensity | 0.75 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Evan" | | discoveredNames | | Raven | 1 | | Nest | 2 | | Szechuan | 1 | | October | 1 | | Silas | 7 | | Prague | 1 | | Berlin | 1 | | Istanbul | 1 | | Cold | 2 | | War | 1 | | Redbreast | 1 | | Rory | 8 | | Processed | 1 | | Chinese | 1 | | Evan | 8 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Silas" | | 3 | "Rory" | | 4 | "Evan" |
| | places | | 0 | "Prague" | | 1 | "Berlin" | | 2 | "Istanbul" |
| | globalScore | 1 | | windowScore | 1 | |
| 39.71% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 68 | | glossingSentenceCount | 3 | | matches | | 0 | "Something like dismay flickered across his f" | | 1 | "tasted like ash, but she'd told it enough" | | 2 | "something like irony" |
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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 | 1514 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 132 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 56 | | mean | 27.04 | | std | 21.07 | | cv | 0.779 | | sampleLengths | | 0 | 72 | | 1 | 58 | | 2 | 47 | | 3 | 35 | | 4 | 2 | | 5 | 5 | | 6 | 44 | | 7 | 45 | | 8 | 4 | | 9 | 1 | | 10 | 17 | | 11 | 6 | | 12 | 79 | | 13 | 7 | | 14 | 22 | | 15 | 1 | | 16 | 8 | | 17 | 23 | | 18 | 22 | | 19 | 37 | | 20 | 13 | | 21 | 39 | | 22 | 1 | | 23 | 8 | | 24 | 29 | | 25 | 24 | | 26 | 47 | | 27 | 14 | | 28 | 4 | | 29 | 21 | | 30 | 17 | | 31 | 54 | | 32 | 58 | | 33 | 10 | | 34 | 27 | | 35 | 12 | | 36 | 62 | | 37 | 47 | | 38 | 23 | | 39 | 22 | | 40 | 1 | | 41 | 59 | | 42 | 5 | | 43 | 30 | | 44 | 15 | | 45 | 44 | | 46 | 17 | | 47 | 27 | | 48 | 14 | | 49 | 60 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 96 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 187 | | matches | | 0 | "was testing" | | 1 | "was building" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 132 | | ratio | 0.053 | | matches | | 0 | "Maps covered the walls like wallpaper—Prague, Berlin, Istanbul, cities she'd never seen but sometimes dreamed about when sleep came hard." | | 1 | "The clink of glass against wood, the pour, the slide across the polished bar—a ritual as familiar now as breathing." | | 2 | "Nobody except—" | | 3 | "Something moved behind his eyes—confusion, maybe hurt." | | 4 | "His gaze swept the bar—the maps, the photographs, the empty tables scattered like islands across the scuffed floor." | | 5 | "The smell of his cologne—something new, something sharp and expensive—made her stomach clench." | | 6 | "Behind her, she heard the scrape of a stool, the murmur of Silas's voice—low, pleasant, utterly implacable—suggesting that perhaps the gentleman might prefer a different establishment." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1080 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 39 | | adverbRatio | 0.03611111111111111 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.011111111111111112 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 132 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 132 | | mean | 11.47 | | std | 9.47 | | cv | 0.825 | | sampleLengths | | 0 | 13 | | 1 | 24 | | 2 | 35 | | 3 | 27 | | 4 | 20 | | 5 | 11 | | 6 | 11 | | 7 | 13 | | 8 | 6 | | 9 | 17 | | 10 | 16 | | 11 | 15 | | 12 | 4 | | 13 | 2 | | 14 | 5 | | 15 | 7 | | 16 | 20 | | 17 | 17 | | 18 | 4 | | 19 | 12 | | 20 | 6 | | 21 | 23 | | 22 | 3 | | 23 | 1 | | 24 | 1 | | 25 | 10 | | 26 | 5 | | 27 | 2 | | 28 | 6 | | 29 | 21 | | 30 | 3 | | 31 | 1 | | 32 | 14 | | 33 | 14 | | 34 | 26 | | 35 | 3 | | 36 | 4 | | 37 | 4 | | 38 | 17 | | 39 | 1 | | 40 | 1 | | 41 | 8 | | 42 | 7 | | 43 | 7 | | 44 | 9 | | 45 | 13 | | 46 | 5 | | 47 | 4 | | 48 | 12 | | 49 | 18 |
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| 68.18% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.4318181818181818 | | totalSentences | 132 | | uniqueOpeners | 57 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 86 | | matches | (empty) | | ratio | 0 | |
| 66.51% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 33 | | totalSentences | 86 | | matches | | 0 | "She'd meant to drop it" | | 1 | "His hazel eyes flicked up," | | 2 | "He didn't ask what she" | | 3 | "She dropped onto a stool" | | 4 | "Her left wrist ached where" | | 5 | "She turned slowly on the" | | 6 | "He looked different." | | 7 | "His dark hair had receded" | | 8 | "He wore an expensive coat," | | 9 | "Her throat had closed." | | 10 | "She took a deliberate sip" | | 11 | "He'd always hated when she" | | 12 | "She set the glass down" | | 13 | "Her hands wanted to shake." | | 14 | "She didn't let them." | | 15 | "His gaze swept the bar—the" | | 16 | "He attempted a smile" | | 17 | "It didn't reach his eyes." | | 18 | "He repeated it like he" | | 19 | "It was what he did." |
| | ratio | 0.384 | |
| 53.02% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 70 | | totalSentences | 86 | | matches | | 0 | "The Raven's Nest held the" | | 1 | "Rory pushed through the door" | | 2 | "She'd meant to drop it" | | 3 | "The green neon from outside" | | 4 | "Maps covered the walls like" | | 5 | "Silas stood behind the bar," | | 6 | "His hazel eyes flicked up," | | 7 | "He didn't ask what she" | | 8 | "She dropped onto a stool" | | 9 | "Her left wrist ached where" | | 10 | "Silas reached for the Redbreast" | | 11 | "The clink of glass against" | | 12 | "Rory wrapped her fingers around" | | 13 | "The door opened again." | | 14 | "Rory didn't turn, not at" | | 15 | "The Nest attracted a steady" | | 16 | "These footsteps stopped." | | 17 | "The name hit her like" | | 18 | "Nobody called her that anymore." | | 19 | "She turned slowly on the" |
| | ratio | 0.814 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 86 | | matches | (empty) | | ratio | 0 | |
| 93.02% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 43 | | technicalSentenceCount | 3 | | matches | | 0 | "The Raven's Nest held the kind of darkness that made secrets feel lighter." | | 1 | "For proof that the version of himself he was building in therapy sessions was real, was valid, was enough to erase the man who'd left bruises shaped like finger…" | | 2 | "Rory climbed toward her flat, toward the silence and safety of her small room, carrying the weight of all the years between the girl who'd loved Evan and the wo…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 54 | | tagDensity | 0.037 | | leniency | 0.074 | | rawRatio | 0.5 | | effectiveRatio | 0.037 | |