| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 51 | | tagDensity | 0.235 | | leniency | 0.471 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 87.89% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1239 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "quickly" | | 1 | "very" | | 2 | "tightly" |
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| 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) | |
| 71.75% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1239 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "flicked" | | 1 | "flicker" | | 2 | "unreadable" | | 3 | "tracing" | | 4 | "measured" | | 5 | "fluttered" | | 6 | "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 | 1 | | narrationSentences | 79 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 79 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 117 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1219 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 14 | | wordCount | 800 | | uniqueNames | 9 | | maxNameDensity | 0.5 | | worstName | "Ptolemy" | | maxWindowNameDensity | 1 | | worstWindowName | "Ptolemy" | | discoveredNames | | Carter | 1 | | Eva | 1 | | Ptolemy | 4 | | Lucien | 3 | | Moreau | 1 | | Despite | 1 | | English | 1 | | French | 1 | | Silence | 1 |
| | persons | | 0 | "Carter" | | 1 | "Eva" | | 2 | "Ptolemy" | | 3 | "Lucien" | | 4 | "Moreau" | | 5 | "French" | | 6 | "Silence" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 62 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1219 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 117 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 60 | | mean | 20.32 | | std | 11.19 | | cv | 0.551 | | sampleLengths | | 0 | 57 | | 1 | 5 | | 2 | 23 | | 3 | 66 | | 4 | 21 | | 5 | 20 | | 6 | 16 | | 7 | 18 | | 8 | 28 | | 9 | 39 | | 10 | 22 | | 11 | 36 | | 12 | 19 | | 13 | 17 | | 14 | 24 | | 15 | 14 | | 16 | 32 | | 17 | 14 | | 18 | 6 | | 19 | 32 | | 20 | 18 | | 21 | 18 | | 22 | 17 | | 23 | 24 | | 24 | 10 | | 25 | 25 | | 26 | 13 | | 27 | 24 | | 28 | 23 | | 29 | 2 | | 30 | 16 | | 31 | 26 | | 32 | 14 | | 33 | 18 | | 34 | 9 | | 35 | 31 | | 36 | 28 | | 37 | 14 | | 38 | 17 | | 39 | 11 | | 40 | 11 | | 41 | 17 | | 42 | 34 | | 43 | 20 | | 44 | 13 | | 45 | 12 | | 46 | 31 | | 47 | 23 | | 48 | 6 | | 49 | 12 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 79 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 147 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 14 | | semicolonCount | 0 | | flaggedSentences | 14 | | totalSentences | 117 | | ratio | 0.12 | | matches | | 0 | "Knuckles rapped against chipped white wood—a rhythm out of place with the steady hum of the curry house below." | | 1 | "The corridor glowed sickly yellow from a dying bulb, and in the centre of that flickering pool stood Lucien Moreau—still tall and elegant, the same as months ago." | | 2 | "Heterochromatic eyes swept over her face—left bright, right impossibly black." | | 3 | "He placed the cane against the wall—a soft clack on the warped floorboards." | | 4 | "His gaze flicked over her—cool, naked calculation." | | 5 | "Cardigan slipping off one shoulder, she moved around him to retrieve another stack of notes—barrier and armour." | | 6 | "Aurora stroked Ptolemy’s back—her shield, her excuse to turn away from Lucien’s unreadable stare." | | 7 | "Something hung in the dead air—something raw, itching." | | 8 | "Lucien reached for a battered ring on her kitchen table—finger tracing the curve absently." | | 9 | "She snorted—a brittle sound escaping her throat." | | 10 | "“Always about you, isn’t it?” The accusation bit—the old wound, still open." | | 11 | "Her chest fluttered with a mixture she hated—anger, relief, something else old and bright." | | 12 | "“It nearly killed me,” voice rougher than she’d heard it—in English, but vulnerable in a way only French could make beautiful." | | 13 | "She let the moment stretch, left the unfinished end of his sentence twisting between them—dangerous, unsaid." |
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| 80.31% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 416 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 26 | | adverbRatio | 0.0625 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.014423076923076924 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 117 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 117 | | mean | 10.42 | | std | 6.06 | | cv | 0.581 | | sampleLengths | | 0 | 19 | | 1 | 21 | | 2 | 17 | | 3 | 5 | | 4 | 12 | | 5 | 11 | | 6 | 7 | | 7 | 28 | | 8 | 31 | | 9 | 11 | | 10 | 10 | | 11 | 20 | | 12 | 5 | | 13 | 11 | | 14 | 11 | | 15 | 7 | | 16 | 16 | | 17 | 12 | | 18 | 23 | | 19 | 16 | | 20 | 15 | | 21 | 7 | | 22 | 13 | | 23 | 23 | | 24 | 10 | | 25 | 9 | | 26 | 17 | | 27 | 14 | | 28 | 7 | | 29 | 3 | | 30 | 9 | | 31 | 5 | | 32 | 7 | | 33 | 8 | | 34 | 17 | | 35 | 8 | | 36 | 6 | | 37 | 6 | | 38 | 23 | | 39 | 9 | | 40 | 18 | | 41 | 13 | | 42 | 5 | | 43 | 3 | | 44 | 14 | | 45 | 14 | | 46 | 10 | | 47 | 3 | | 48 | 7 | | 49 | 14 |
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| 64.96% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.41025641025641024 | | totalSentences | 117 | | uniqueOpeners | 48 | |
| 91.32% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 73 | | matches | | 0 | "Somehow, beneath it, she tasted" | | 1 | "Only the old ache of" |
| | ratio | 0.027 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 46 | | totalSentences | 73 | | matches | | 0 | "She exchanged a quick glance" | | 1 | "She nudged a folio off" | | 2 | "She cracked the door a" | | 3 | "His cane glimmered at his" | | 4 | "His mouth, always a dangerous" | | 5 | "She backed up, heartbeat rabbit-fast." | | 6 | "He cocked his head, glancing" | | 7 | "She shut the book with" | | 8 | "He stepped in without permission," | | 9 | "He placed the cane against" | | 10 | "He had a knack for" | | 11 | "he asked, dry amusement in" | | 12 | "She tossed her keys into" | | 13 | "He surveyed the small room," | | 14 | "His gaze flicked over her—cool," | | 15 | "He exhaled through his nose," | | 16 | "she asked, forcing breeziness" | | 17 | "He broke their locked gaze" | | 18 | "She dropped the clippings on" | | 19 | "His expression shifted: a flicker" |
| | ratio | 0.63 | |
| 21.64% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 64 | | totalSentences | 73 | | matches | | 0 | "Knuckles rapped against chipped white" | | 1 | "Aurora Carter watched the door" | | 2 | "She exchanged a quick glance" | | 3 | "The knock came again, insistent." | | 4 | "She nudged a folio off" | | 5 | "She cracked the door a" | | 6 | "The corridor glowed sickly yellow" | | 7 | "His cane glimmered at his" | | 8 | "His mouth, always a dangerous" | | 9 | "She backed up, heartbeat rabbit-fast." | | 10 | "He cocked his head, glancing" | | 11 | "She shut the book with" | | 12 | "He stepped in without permission," | | 13 | "The door clattered into place" | | 14 | "He placed the cane against" | | 15 | "He had a knack for" | | 16 | "he asked, dry amusement in" | | 17 | "She tossed her keys into" | | 18 | "He surveyed the small room," | | 19 | "His gaze flicked over her—cool," |
| | ratio | 0.877 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 73 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 33 | | technicalSentenceCount | 1 | | matches | | 0 | "He rubbed the heel of his palm over his mouth, searching for somewhere to rest his eyes that wasn’t her." |
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| 83.33% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 1 | | matches | | 0 | "She dropped, unable to hold back sharpness" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 2 | | fancyTags | | 0 | "she muttered (mutter)" | | 1 | "she’d (would)" |
| | dialogueSentences | 51 | | tagDensity | 0.078 | | leniency | 0.157 | | rawRatio | 0.5 | | effectiveRatio | 0.078 | |