| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 95.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2001 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 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) | |
| 52.52% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2001 | | totalAiIsms | 19 | | found | | | highlights | | 0 | "measured" | | 1 | "silence" | | 2 | "aligned" | | 3 | "pulse" | | 4 | "warmth" | | 5 | "traced" | | 6 | "dancing" | | 7 | "racing" | | 8 | "tension" | | 9 | "pulsed" | | 10 | "weight" | | 11 | "flicked" | | 12 | "charged" | | 13 | "eyebrow" | | 14 | "charm" | | 15 | "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 | 0 | | narrationSentences | 248 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 4 | | hedgeCount | 2 | | narrationSentences | 248 | | filterMatches | | 0 | "feel" | | 1 | "feel think" | | 2 | "see" |
| | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 248 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 27 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 2001 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 1 | | matches | | 0 | "No running, she agreed, voice softer than it had been since the door opened." |
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| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 62 | | wordCount | 2001 | | uniqueNames | 15 | | maxNameDensity | 0.7 | | worstName | "Lucien" | | maxWindowNameDensity | 2.5 | | worstWindowName | "You" | | discoveredNames | | Lucien | 14 | | Eva | 5 | | Cardiff | 2 | | Avaros | 2 | | Silas | 1 | | London | 1 | | Brick | 2 | | Lane | 2 | | Evan | 4 | | French | 2 | | Marseille | 1 | | Luc | 1 | | Aurora | 9 | | Ptolemy | 4 | | You | 12 |
| | persons | | 0 | "Lucien" | | 1 | "Eva" | | 2 | "Silas" | | 3 | "Evan" | | 4 | "Luc" | | 5 | "Aurora" | | 6 | "Ptolemy" | | 7 | "You" |
| | places | | 0 | "Cardiff" | | 1 | "Avaros" | | 2 | "London" | | 3 | "Brick" | | 4 | "Lane" | | 5 | "French" | | 6 | "Marseille" |
| | globalScore | 1 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 172 | | glossingSentenceCount | 2 | | matches | | 0 | "not quite touching" | | 1 | "appeared behind her, not quite touching" | | 2 | "pulse hammered visibly in her neck" |
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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 | 2001 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 248 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 93 | | mean | 21.52 | | std | 13.33 | | cv | 0.62 | | sampleLengths | | 0 | 52 | | 1 | 5 | | 2 | 27 | | 3 | 14 | | 4 | 44 | | 5 | 13 | | 6 | 40 | | 7 | 15 | | 8 | 7 | | 9 | 21 | | 10 | 9 | | 11 | 44 | | 12 | 19 | | 13 | 25 | | 14 | 21 | | 15 | 7 | | 16 | 41 | | 17 | 26 | | 18 | 14 | | 19 | 21 | | 20 | 10 | | 21 | 31 | | 22 | 36 | | 23 | 9 | | 24 | 18 | | 25 | 23 | | 26 | 58 | | 27 | 23 | | 28 | 7 | | 29 | 11 | | 30 | 34 | | 31 | 7 | | 32 | 7 | | 33 | 38 | | 34 | 21 | | 35 | 25 | | 36 | 9 | | 37 | 23 | | 38 | 23 | | 39 | 28 | | 40 | 5 | | 41 | 9 | | 42 | 45 | | 43 | 21 | | 44 | 24 | | 45 | 47 | | 46 | 23 | | 47 | 14 | | 48 | 50 | | 49 | 24 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 248 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 378 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 248 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 2004 | | adjectiveStacks | 1 | | stackExamples | | | adverbCount | 61 | | adverbRatio | 0.030439121756487025 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.004491017964071856 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 248 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 248 | | mean | 8.07 | | std | 4.66 | | cv | 0.578 | | sampleLengths | | 0 | 11 | | 1 | 14 | | 2 | 12 | | 3 | 15 | | 4 | 5 | | 5 | 11 | | 6 | 16 | | 7 | 10 | | 8 | 4 | | 9 | 7 | | 10 | 15 | | 11 | 10 | | 12 | 12 | | 13 | 6 | | 14 | 7 | | 15 | 4 | | 16 | 4 | | 17 | 12 | | 18 | 5 | | 19 | 8 | | 20 | 7 | | 21 | 7 | | 22 | 8 | | 23 | 7 | | 24 | 10 | | 25 | 6 | | 26 | 5 | | 27 | 7 | | 28 | 2 | | 29 | 11 | | 30 | 9 | | 31 | 24 | | 32 | 4 | | 33 | 2 | | 34 | 2 | | 35 | 11 | | 36 | 6 | | 37 | 7 | | 38 | 12 | | 39 | 6 | | 40 | 9 | | 41 | 6 | | 42 | 4 | | 43 | 1 | | 44 | 2 | | 45 | 7 | | 46 | 16 | | 47 | 9 | | 48 | 9 | | 49 | 7 |
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| 54.03% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.35080645161290325 | | totalSentences | 248 | | uniqueOpeners | 87 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 8 | | totalSentences | 222 | | matches | | 0 | "Just gone while I sorted" | | 1 | "Then Evan broke every rule." | | 2 | "Then you walked out." | | 3 | "Instead they curled into the" | | 4 | "Then we start here." | | 5 | "Even the cat wants us" | | 6 | "Instead he turned it in" | | 7 | "Then tell me the rest." |
| | ratio | 0.036 | |
| 52.43% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 93 | | totalSentences | 222 | | matches | | 0 | "He rested both hands on" | | 1 | "We need to talk." | | 2 | "She blocked the doorway with" | | 3 | "Her straight black hair fell" | | 4 | "She shoved it back, exposing" | | 5 | "You don't get to decide" | | 6 | "She retreated on instinct." | | 7 | "He propped the cane against" | | 8 | "His height made the low" | | 9 | "You still wear that scar" | | 10 | "It's just a scar from" | | 11 | "Her fingers gripped the edge" | | 12 | "You vanished for weeks." | | 13 | "He followed at a measured" | | 14 | "I kept you out of" | | 15 | "He crouched, gathered them without" | | 16 | "Your quick thinking saved us" | | 17 | "You spotted the tail before" | | 18 | "She snatched the papers from" | | 19 | "We had something raw and" |
| | ratio | 0.419 | |
| 59.10% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 178 | | totalSentences | 222 | | matches | | 0 | "Aurora slid the final deadbolt" | | 1 | "Lucien filled the narrow hallway," | | 2 | "Platinum hair swept back from" | | 3 | "He rested both hands on" | | 4 | "The flat's curry scent drifted" | | 5 | "Eva said you might be" | | 6 | "We need to talk." | | 7 | "She blocked the doorway with" | | 8 | "Ptolemy slipped between her ankles" | | 9 | "Her straight black hair fell" | | 10 | "She shoved it back, exposing" | | 11 | "You don't get to decide" | | 12 | "Lucien stepped forward anyway." | | 13 | "She retreated on instinct." | | 14 | "The door clicked shut behind" | | 15 | "Books teetered in crooked towers." | | 16 | "Scrolls covered the coffee table" | | 17 | "Every shelf bowed under Eva's" | | 18 | "He propped the cane against" | | 19 | "His height made the low" |
| | ratio | 0.802 | |
| 22.52% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 222 | | matches | | | ratio | 0.005 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 74 | | technicalSentenceCount | 3 | | matches | | 0 | "Felt things I had no business feeling for a half-demon fixer who carries a sword in his cane." | | 1 | "I feel the same pull that brought me to this cluttered flat despite every warning." | | 2 | "My sources say he crossed into deals that involve my father's realm." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |