| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 70 | | tagDensity | 0.186 | | leniency | 0.371 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 93.04% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1436 | | 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) | |
| 65.18% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1436 | | totalAiIsms | 10 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | word | "down her spine" | | count | 1 |
| | 8 | | | 9 | |
| | highlights | | 0 | "familiar" | | 1 | "flicked" | | 2 | "charged" | | 3 | "could feel" | | 4 | "weight" | | 5 | "pulse" | | 6 | "unreadable" | | 7 | "down her spine" | | 8 | "stomach" | | 9 | "tension" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 1 | | found | | 0 | | label | "shiver down spine" | | count | 1 |
| | 1 | | label | "sent a shiver through" | | count | 1 |
|
| | highlights | | 0 | "A shiver ran down her spine" | | 1 | "sent a jolt through" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 115 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 115 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 170 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 33 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 7 | | markdownWords | 23 | | totalWords | 1428 | | ratio | 0.016 | | matches | | 0 | "For Aurora Carter. Urgent." | | 1 | "you" | | 2 | "did" | | 3 | "real" | | 4 | "know" | | 5 | "Miss Carter," | | 6 | "We need to talk. Midnight. The old docks by the Thames. Come alone." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 16 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 14 | | wordCount | 963 | | uniqueNames | 7 | | maxNameDensity | 0.42 | | worstName | "Lucien" | | maxWindowNameDensity | 1 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 2 | | London | 1 | | Ptolemy | 3 | | Aurora | 1 | | Carter | 2 | | Thames | 1 | | Lucien | 4 |
| | persons | | 0 | "Rory" | | 1 | "Ptolemy" | | 2 | "Aurora" | | 3 | "Carter" | | 4 | "Lucien" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 64 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 59.94% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.401 | | wordCount | 1428 | | matches | | 0 | "not a strand out of place, but his heterochromatic eyes" | | 1 | "not hard, but firm" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 170 | | matches | | 0 | "chose that moment" | | 1 | "chose that moment" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 84 | | mean | 17 | | std | 12.4 | | cv | 0.729 | | sampleLengths | | 0 | 29 | | 1 | 8 | | 2 | 37 | | 3 | 2 | | 4 | 40 | | 5 | 62 | | 6 | 6 | | 7 | 13 | | 8 | 29 | | 9 | 6 | | 10 | 17 | | 11 | 10 | | 12 | 22 | | 13 | 32 | | 14 | 44 | | 15 | 5 | | 16 | 3 | | 17 | 11 | | 18 | 9 | | 19 | 17 | | 20 | 16 | | 21 | 19 | | 22 | 27 | | 23 | 3 | | 24 | 24 | | 25 | 5 | | 26 | 5 | | 27 | 18 | | 28 | 4 | | 29 | 7 | | 30 | 8 | | 31 | 1 | | 32 | 13 | | 33 | 30 | | 34 | 9 | | 35 | 2 | | 36 | 53 | | 37 | 7 | | 38 | 36 | | 39 | 10 | | 40 | 16 | | 41 | 1 | | 42 | 29 | | 43 | 4 | | 44 | 16 | | 45 | 18 | | 46 | 9 | | 47 | 13 | | 48 | 28 | | 49 | 12 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 115 | | matches | | |
| 94.74% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 190 | | matches | | 0 | "was wiping" | | 1 | "wasn’t looking" | | 2 | "wasn’t looking" |
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| 58.82% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 170 | | ratio | 0.029 | | matches | | 0 | "His platinum hair was slicked back, not a strand out of place, but his heterochromatic eyes—one amber, one black—held the kind of storm that didn’t belong in a man so composed." | | 1 | "The cane in his hand—ivory handle, polished to a sheen—twitched." | | 2 | "The flat was a mess—books stacked in precarious towers, takeaway containers littering the coffee table, a half-empty bottle of wine breathing on the counter." | | 3 | "Had felt it for months—the whispers, the looks, the way certain people’s eyes lingered a little too long when they thought she wasn’t looking." | | 4 | "“No.” His hand shot out, gripped her wrist—not hard, but firm." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 722 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 21 | | adverbRatio | 0.029085872576177285 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.0013850415512465374 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 170 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 170 | | mean | 8.4 | | std | 6.26 | | cv | 0.745 | | sampleLengths | | 0 | 16 | | 1 | 9 | | 2 | 4 | | 3 | 2 | | 4 | 6 | | 5 | 17 | | 6 | 20 | | 7 | 2 | | 8 | 14 | | 9 | 18 | | 10 | 8 | | 11 | 12 | | 12 | 19 | | 13 | 31 | | 14 | 6 | | 15 | 12 | | 16 | 1 | | 17 | 3 | | 18 | 7 | | 19 | 19 | | 20 | 6 | | 21 | 14 | | 22 | 3 | | 23 | 10 | | 24 | 3 | | 25 | 10 | | 26 | 9 | | 27 | 6 | | 28 | 16 | | 29 | 10 | | 30 | 24 | | 31 | 20 | | 32 | 5 | | 33 | 3 | | 34 | 7 | | 35 | 4 | | 36 | 9 | | 37 | 6 | | 38 | 11 | | 39 | 12 | | 40 | 4 | | 41 | 15 | | 42 | 4 | | 43 | 7 | | 44 | 20 | | 45 | 3 | | 46 | 12 | | 47 | 3 | | 48 | 9 | | 49 | 4 |
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| 46.47% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.3176470588235294 | | totalSentences | 170 | | uniqueOpeners | 54 | |
| 68.73% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 97 | | matches | | 0 | "Just leaned against the doorframe," | | 1 | "Instead, she just stood there," |
| | ratio | 0.021 | |
| 5.57% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 52 | | totalSentences | 97 | | matches | | 0 | "His platinum hair was slicked" | | 1 | "She didn’t answer." | | 2 | "She didn’t move." | | 3 | "His jaw tightened." | | 4 | "She stepped aside, a silent" | | 5 | "He didn’t hesitate, brushing past" | | 6 | "He inclined his head, acknowledging" | | 7 | "She crossed her arms tighter" | | 8 | "He set the cane against" | | 9 | "She could feel the weight" | | 10 | "He reached into his coat," | | 11 | "She didn’t take it." | | 12 | "Her pulse spiked." | | 13 | "She snatched the paper, unfolded" | | 14 | "She flipped it over." | | 15 | "She exhaled, rubbed her temples." | | 16 | "His voice was light, but" | | 17 | "She crushed the paper in" | | 18 | "She wanted to deny it," | | 19 | "She wasn’t fine." |
| | ratio | 0.536 | |
| 21.86% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 85 | | totalSentences | 97 | | matches | | 0 | "The knock came just as" | | 1 | "A rhythm she knew." | | 2 | "The cloth slipped from her" | | 3 | "Ptolemy, the tabby, lifted his" | | 4 | "The flat was too quiet," | | 5 | "Rory exhaled through her nose," | | 6 | "The three deadbolts gleamed under" | | 7 | "The last one clicked open" | | 8 | "The door swung inward before" | | 9 | "Lucien stood there, filling the" | | 10 | "His platinum hair was slicked" | | 11 | "A smirk tugged at his" | | 12 | "She didn’t answer." | | 13 | "The scent of rain and" | | 14 | "Ptolemy chose that moment to" | | 15 | "She didn’t move." | | 16 | "His jaw tightened." | | 17 | "The cane in his hand—ivory" | | 18 | "She stepped aside, a silent" | | 19 | "He didn’t hesitate, brushing past" |
| | ratio | 0.876 | |
| 51.55% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 97 | | matches | | 0 | "Because she *did* know." |
| | ratio | 0.01 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 36 | | technicalSentenceCount | 1 | | matches | | 0 | "A slow smile spread across his face, the kind that made her stomach flip." |
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| 9.62% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 3 | | matches | | 0 | "His voice dropped, rough" | | 1 | "He moved, his voice a low murmur against her ear" | | 2 | "he said, his voice dangerously soft," |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 70 | | tagDensity | 0.1 | | leniency | 0.2 | | rawRatio | 0.143 | | effectiveRatio | 0.029 | |