| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 51 | | tagDensity | 0.255 | | leniency | 0.51 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.27% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1340 | | totalAiIsmAdverbs | 1 | | 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) | |
| 58.96% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1340 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "tracing" | | 1 | "footsteps" | | 2 | "efficient" | | 3 | "charm" | | 4 | "pulse" | | 5 | "silence" | | 6 | "stomach" | | 7 | "electric" | | 8 | "standard" |
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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 | 74 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 74 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 111 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 53 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1330 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 16 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 49 | | wordCount | 864 | | uniqueNames | 11 | | maxNameDensity | 1.39 | | worstName | "Rory" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Eva" | | discoveredNames | | Eva | 11 | | Rory | 12 | | Moreau | 1 | | French | 1 | | Ptolemy | 5 | | Lucien | 11 | | St-Omer | 1 | | Aurora | 4 | | Brick | 1 | | Lane | 1 | | Marseille | 1 |
| | persons | | 0 | "Eva" | | 1 | "Rory" | | 2 | "Moreau" | | 3 | "Ptolemy" | | 4 | "Lucien" | | 5 | "Aurora" |
| | places | | 0 | "St-Omer" | | 1 | "Brick" | | 2 | "Lane" | | 3 | "Marseille" |
| | globalScore | 0.806 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 60 | | 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 | 1330 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 111 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 50 | | mean | 26.6 | | std | 17.02 | | cv | 0.64 | | sampleLengths | | 0 | 34 | | 1 | 33 | | 2 | 6 | | 3 | 12 | | 4 | 4 | | 5 | 45 | | 6 | 44 | | 7 | 64 | | 8 | 19 | | 9 | 2 | | 10 | 23 | | 11 | 34 | | 12 | 12 | | 13 | 17 | | 14 | 22 | | 15 | 2 | | 16 | 18 | | 17 | 42 | | 18 | 29 | | 19 | 25 | | 20 | 25 | | 21 | 28 | | 22 | 13 | | 23 | 22 | | 24 | 53 | | 25 | 12 | | 26 | 18 | | 27 | 5 | | 28 | 44 | | 29 | 2 | | 30 | 21 | | 31 | 31 | | 32 | 46 | | 33 | 11 | | 34 | 79 | | 35 | 15 | | 36 | 35 | | 37 | 37 | | 38 | 32 | | 39 | 15 | | 40 | 23 | | 41 | 22 | | 42 | 61 | | 43 | 7 | | 44 | 37 | | 45 | 14 | | 46 | 34 | | 47 | 49 | | 48 | 13 | | 49 | 39 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 74 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 131 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 6 | | flaggedSentences | 12 | | totalSentences | 111 | | ratio | 0.108 | | matches | | 0 | "Footsteps on the communal stairs—one half-step heavier than the reflexive drag of boots, one practiced and deliberate." | | 1 | "The flat shrinks; the books exhale dust in protest." | | 2 | "“Tracked your movements.” He unsnaps a button on his cuff—left hand; his ruined pinky curls inward like a hook." | | 3 | "Rory’s skin prickles beneath that gaze—honey and broken glass." | | 4 | "“He hasn’t eaten; he’ll start smelling like ozone if he goes too long without.”" | | 5 | "The quick silence that follows is packed with all the things not said since she fled the basilica in St-Omer two years ago—since the night he wrapped her fingers around his throat and whispered, “Stay or I’ll let my father carve you out of my life.”" | | 6 | "“No.” The heel of his hand presses against the cane’s ivory end; the blade whispers free an inch, no more." | | 7 | "“I searched every dive in the Vieux-Port. No Rory, no Malphora, no silhouette that even remotely looked like you. Just a girl with your eyes playing poker in a backroom above a butcher’s shop.” He inhales—deliberate, testing the air like a wine merchant." | | 8 | "“Same hair. Same straight shoulders hiding a wrist with a crescent scar.” His gaze flicks to her left hand—always hidden by bracelets, by watch, by sleeve rolled to the elbow and rolled back." | | 9 | "The flat feels too small; every breath draws in wool and old candle smoke and the faintest top note of gunpowder that clings to Lucien’s suit." | | 10 | "Outside, a siren howls; Eva’s voice murmurs with the delivery guy—an order confirmed, a price agreed." | | 11 | "It sounds like surrender—or maybe regret." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 878 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 15 | | adverbRatio | 0.017084282460136675 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.004555808656036446 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 111 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 111 | | mean | 11.98 | | std | 9.61 | | cv | 0.802 | | sampleLengths | | 0 | 15 | | 1 | 19 | | 2 | 3 | | 3 | 30 | | 4 | 6 | | 5 | 11 | | 6 | 1 | | 7 | 4 | | 8 | 16 | | 9 | 6 | | 10 | 15 | | 11 | 8 | | 12 | 17 | | 13 | 7 | | 14 | 20 | | 15 | 27 | | 16 | 21 | | 17 | 16 | | 18 | 19 | | 19 | 2 | | 20 | 11 | | 21 | 7 | | 22 | 4 | | 23 | 1 | | 24 | 7 | | 25 | 9 | | 26 | 18 | | 27 | 12 | | 28 | 4 | | 29 | 10 | | 30 | 3 | | 31 | 19 | | 32 | 3 | | 33 | 2 | | 34 | 12 | | 35 | 6 | | 36 | 13 | | 37 | 29 | | 38 | 15 | | 39 | 4 | | 40 | 10 | | 41 | 4 | | 42 | 11 | | 43 | 10 | | 44 | 9 | | 45 | 12 | | 46 | 4 | | 47 | 14 | | 48 | 14 | | 49 | 10 |
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| 69.67% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.42342342342342343 | | totalSentences | 111 | | uniqueOpeners | 47 | |
| 47.62% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 70 | | matches | | 0 | "Somewhere in Marseille, a demon" |
| | ratio | 0.014 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 20 | | totalSentences | 70 | | matches | | 0 | "She stays bent over Eva’s" | | 1 | "She straightens the thumbtack holding" | | 2 | "His left eye, black as" | | 3 | "His right, the raw honey" | | 4 | "His voice slides over the" | | 5 | "He steps over the cat" | | 6 | "He drops the cane into" | | 7 | "He unsnaps a button on" | | 8 | "She turns to Eva, forcing" | | 9 | "She slips out before Rory" | | 10 | "He taps the edge of" | | 11 | "She watches his thumb trace" | | 12 | "He inhales—deliberate, testing the air" | | 13 | "His gaze flicks to her" | | 14 | "He crosses the room in" | | 15 | "She doesn’t lower it." | | 16 | "He tilts his head, letting" | | 17 | "It sounds like surrender—or maybe" | | 18 | "She eyes Rory, then Lucien," | | 19 | "Her fingers tremble against the" |
| | ratio | 0.286 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 66 | | totalSentences | 70 | | matches | | 0 | "The scuff of leather soles" | | 1 | "Ptolemy launches from the armchair" | | 2 | "Aurora doesn’t turn." | | 3 | "She stays bent over Eva’s" | | 4 | "Rory’s boat neck sags off" | | 5 | "Aurora sets the claw hammer" | | 6 | "Glass beads tink like wind" | | 7 | "She straightens the thumbtack holding" | | 8 | "Every muscle in her forearms" | | 9 | "Footsteps on the communal stairs—one" | | 10 | "The door swings inward, carrying" | | 11 | "Lucien Moreau fills the frame:" | | 12 | "His left eye, black as" | | 13 | "His right, the raw honey" | | 14 | "Ptolemy plants himself directly between" | | 15 | "His voice slides over the" | | 16 | "Years of French lessons eroded" | | 17 | "Aurora wets her lips." | | 18 | "He steps over the cat" | | 19 | "The flat shrinks; the books" |
| | ratio | 0.943 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 70 | | matches | (empty) | | ratio | 0 | |
| 73.73% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 31 | | technicalSentenceCount | 3 | | matches | | 0 | "Lucien Moreau fills the frame: charcoal suit loving the hunch of his shoulders, one sleeve rolling to reveal the ivory grip of something that isn’t a cane." | | 1 | "Lucien’s breath leaves him, a sound that might be laughter." | | 2 | "The flat feels too small; every breath draws in wool and old candle smoke and the faintest top note of gunpowder that clings to Lucien’s suit." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 91.18% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 3 | | fancyTags | | 0 | "she fled (flee)" | | 1 | "his hand presses (his hand press)" | | 2 | "Lucien’s cuff snaps (lucien cuff snap)" |
| | dialogueSentences | 51 | | tagDensity | 0.078 | | leniency | 0.157 | | rawRatio | 0.75 | | effectiveRatio | 0.118 | |