| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 19 | | adverbTagCount | 1 | | adverbTags | | 0 | "He gestured vaguely [vaguely]" |
| | dialogueSentences | 31 | | tagDensity | 0.613 | | leniency | 1 | | rawRatio | 0.053 | | effectiveRatio | 0.053 | |
| 40.37% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1174 | | totalAiIsmAdverbs | 14 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | adverb | "deliberately" | | count | 1 |
|
| | highlights | | 0 | "sharply" | | 1 | "carefully" | | 2 | "really" | | 3 | "suddenly" | | 4 | "truly" | | 5 | "slightly" | | 6 | "deliberately" |
| |
| 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1174 | | totalAiIsms | 28 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | |
| | highlights | | 0 | "chaotic" | | 1 | "familiar" | | 2 | "weight" | | 3 | "amidst" | | 4 | "constructed" | | 5 | "shimmered" | | 6 | "flicker" | | 7 | "chilling" | | 8 | "unspoken" | | 9 | "stark" | | 10 | "palpable" | | 11 | "tension" | | 12 | "unwavering" | | 13 | "comfortable" | | 14 | "shattered" | | 15 | "measured" | | 16 | "potential" | | 17 | "gleaming" | | 18 | "perfect" | | 19 | "whisper" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "clenched jaw/fists" | | count | 1 |
| | 1 | | label | "flicker of emotion" | | count | 1 |
|
| | highlights | | 0 | "clenched her fists" | | 1 | "a flicker of amusement" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 64 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 64 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 75 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 65 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 2 | | totalWords | 1176 | | ratio | 0.002 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 19 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 13 | | wordCount | 870 | | uniqueNames | 9 | | maxNameDensity | 0.23 | | worstName | "Eva" | | maxWindowNameDensity | 1 | | worstWindowName | "Lucien" | | discoveredNames | | Aurora | 1 | | Eva | 2 | | Earl | 1 | | Grey | 1 | | Lucien | 2 | | Moreau | 2 | | Baudelaire | 2 | | London | 1 | | French | 1 |
| | persons | | 0 | "Eva" | | 1 | "Earl" | | 2 | "Grey" | | 3 | "Lucien" | | 4 | "Moreau" | | 5 | "Baudelaire" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 8.49% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 53 | | glossingSentenceCount | 3 | | matches | | 0 | "sound that seemed to vibrate through Aurora’s entire flat, rattling the precariously stacked piles of research papers threatening to spill from her desk" | | 1 | "quite reach his eyes, and it felt, instantly and disconcertingly, like a judgment" | | 2 | "seemed far more perceptive than either of them" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.85 | | wordCount | 1176 | | matches | | 0 | "not as a need, but as an extension of his arm, a silent assertion of power" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 75 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 19 | | mean | 61.89 | | std | 34.45 | | cv | 0.557 | | sampleLengths | | 0 | 141 | | 1 | 141 | | 2 | 25 | | 3 | 75 | | 4 | 67 | | 5 | 41 | | 6 | 41 | | 7 | 51 | | 8 | 55 | | 9 | 40 | | 10 | 75 | | 11 | 20 | | 12 | 63 | | 13 | 56 | | 14 | 30 | | 15 | 63 | | 16 | 75 | | 17 | 102 | | 18 | 15 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 64 | | matches | (empty) | |
| 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 | 5 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 75 | | ratio | 0.053 | | matches | | 0 | "Dust motes danced in the weak shaft of afternoon light slicing through the gap in the drawn curtains, illuminating the chaotic beauty of Eva’s place – a controlled mess of arcane texts, half-finished sketches, and the lingering scent of Earl Grey and something indefinably metallic." | | 1 | "Even after all this time, after the carefully constructed distance she’d maintained, he was an impossible thing to look at – all sharp angles and polished obsidian, the heterochromatic eyes, one amber, one black, seeming to absorb the light rather than reflect it." | | 2 | "It was a familiar tactic, one she’d learned to anticipate during their brief, volatile affair – an affair that had ended with shattered trust and a carefully crafted distance." | | 3 | "She looked at him – at the unsettlingly perfect symmetry of his features, the conflicting colours in his eyes, the deliberate calculation in his expression – and realized, with a chilling certainty, that she hadn’t escaped him after all." |
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| 71.35% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 855 | | adjectiveStacks | 1 | | stackExamples | | 0 | "single ivory-handled cane," |
| | adverbCount | 45 | | adverbRatio | 0.05263157894736842 | | lyAdverbCount | 29 | | lyAdverbRatio | 0.03391812865497076 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 75 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 75 | | mean | 15.68 | | std | 11.74 | | cv | 0.749 | | sampleLengths | | 0 | 32 | | 1 | 45 | | 2 | 9 | | 3 | 2 | | 4 | 3 | | 5 | 32 | | 6 | 18 | | 7 | 23 | | 8 | 2 | | 9 | 43 | | 10 | 15 | | 11 | 24 | | 12 | 7 | | 13 | 27 | | 14 | 18 | | 15 | 7 | | 16 | 11 | | 17 | 25 | | 18 | 11 | | 19 | 19 | | 20 | 9 | | 21 | 4 | | 22 | 24 | | 23 | 33 | | 24 | 6 | | 25 | 13 | | 26 | 6 | | 27 | 17 | | 28 | 1 | | 29 | 4 | | 30 | 30 | | 31 | 11 | | 32 | 9 | | 33 | 15 | | 34 | 10 | | 35 | 17 | | 36 | 13 | | 37 | 33 | | 38 | 9 | | 39 | 2 | | 40 | 15 | | 41 | 16 | | 42 | 2 | | 43 | 5 | | 44 | 65 | | 45 | 10 | | 46 | 10 | | 47 | 10 | | 48 | 12 | | 49 | 21 |
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| 66.22% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.4533333333333333 | | totalSentences | 75 | | uniqueOpeners | 34 | |
| 56.50% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 59 | | matches | | 0 | "Instead, he took a slow," |
| | ratio | 0.017 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 40 | | totalSentences | 59 | | matches | | 0 | "She hadn’t expected a visitor," | | 1 | "Her fingers tightened around the" | | 2 | "He stood there, a sculpted" | | 3 | "His platinum blond hair, slicked" | | 4 | "He carried a single ivory-handled" | | 5 | "His smile wasn’t a smile," | | 6 | "It was a subtle curve" | | 7 | "he stated, his voice a" | | 8 | "She lowered the Baudelaire, placing" | | 9 | "He seemed far more perceptive" | | 10 | "He didn’t answer directly." | | 11 | "He surveyed the room with" | | 12 | "she retorted, a defensive edge" | | 13 | "It wasn’t truly organized, of" | | 14 | "It was a carefully curated" | | 15 | "He moved closer, stopping just" | | 16 | "She resisted the urge to" | | 17 | "Her voice was sharper now," | | 18 | "he said, a ghost of" | | 19 | "He gestured vaguely around the" |
| | ratio | 0.678 | |
| 27.80% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 51 | | totalSentences | 59 | | matches | | 0 | "The brass knob protested with" | | 1 | "Dust motes danced in the" | | 2 | "She hadn’t expected a visitor," | | 3 | "Her fingers tightened around the" | | 4 | "The scent of sandalwood and" | | 5 | "He stood there, a sculpted" | | 6 | "His platinum blond hair, slicked" | | 7 | "He carried a single ivory-handled" | | 8 | "His smile wasn’t a smile," | | 9 | "It was a subtle curve" | | 10 | "he stated, his voice a" | | 11 | "She lowered the Baudelaire, placing" | | 12 | "The words felt thin, inadequate," | | 13 | "The flat suddenly felt smaller," | | 14 | "Ptolemy, Eva’s tabby, materialized from" | | 15 | "He seemed far more perceptive" | | 16 | "He didn’t answer directly." | | 17 | "He surveyed the room with" | | 18 | "she retorted, a defensive edge" | | 19 | "It wasn’t truly organized, of" |
| | ratio | 0.864 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 59 | | matches | | 0 | "Even after all this time," | | 1 | "Now she could smell the" |
| | ratio | 0.034 | |
| 28.57% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 25 | | technicalSentenceCount | 4 | | matches | | 0 | "The brass knob protested with a rusty groan, a sound that seemed to vibrate through Aurora’s entire flat, rattling the precariously stacked piles of research pa…" | | 1 | "His platinum blond hair, slicked back with a meticulousness that bordered on obsessive, shimmered faintly." | | 2 | "It was a subtle curve of the lips, a flicker of amusement that didn’t quite reach his eyes, and it felt, instantly and disconcertingly, like a judgment." | | 3 | "It was a familiar tactic, one she’d learned to anticipate during their brief, volatile affair – an affair that had ended with shattered trust and a carefully cr…" |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 19 | | uselessAdditionCount | 10 | | matches | | 0 | "He surveyed, his amber eye lingering on the overflowing bookshelves" | | 1 | "she retorted, a defensive edge creeping into her voice" | | 2 | "he said, a ghost of a smile playing on his lips" | | 3 | "He tilted, his eyes, both amber and black, dark pools of observation" | | 4 | "she said, the accusation dripping with irony" | | 5 | "he corrected, his voice smooth and deliberate" | | 6 | "she said, her voice strained" | | 7 | "she demanded, the question laced with a brittle edge of fury" | | 8 | "he replied, his voice low and measured" | | 9 | "He picked up, the ivory handle gleaming in the afternoon light" |
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| 20.97% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 4 | | fancyTags | | 0 | "he stated (state)" | | 1 | "she retorted (retort)" | | 2 | "he corrected (correct)" | | 3 | "she demanded (demand)" |
| | dialogueSentences | 31 | | tagDensity | 0.29 | | leniency | 0.581 | | rawRatio | 0.444 | | effectiveRatio | 0.258 | |