| 86.79% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 3 | | adverbTags | | 0 | "She stopped then [then]" | | 1 | "she said again [again]" | | 2 | "She stepped back [back]" |
| | dialogueSentences | 53 | | tagDensity | 0.34 | | leniency | 0.679 | | rawRatio | 0.167 | | effectiveRatio | 0.113 | |
| 96.58% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1460 | | 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) | |
| 31.51% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1460 | | totalAiIsms | 20 | | found | | | highlights | | 0 | "echoing" | | 1 | "gloom" | | 2 | "scanning" | | 3 | "weight" | | 4 | "unspoken" | | 5 | "familiar" | | 6 | "glint" | | 7 | "flicked" | | 8 | "velvet" | | 9 | "silence" | | 10 | "tracing" | | 11 | "loomed" | | 12 | "wavered" | | 13 | "intricate" | | 14 | "etched" | | 15 | "flickered" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "knuckles turned white" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 104 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 104 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 139 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 40 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 5 | | markdownWords | 20 | | totalWords | 1454 | | ratio | 0.014 | | matches | | 0 | "The Codex of Avaros" | | 1 | "Blood and Ink" | | 2 | "Letters to a Demon" | | 3 | "The Art of War" | | 4 | "The Lovers’ Guide to Subterfuge" |
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| 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 | 21 | | wordCount | 1206 | | uniqueNames | 7 | | maxNameDensity | 0.5 | | worstName | "Lucien" | | maxWindowNameDensity | 1 | | worstWindowName | "Eva" | | discoveredNames | | Eva | 3 | | Moreau | 1 | | Ptolemy | 4 | | Aurora | 5 | | Codex | 1 | | Art | 1 | | Lucien | 6 |
| | persons | | 0 | "Eva" | | 1 | "Moreau" | | 2 | "Ptolemy" | | 3 | "Aurora" | | 4 | "Lucien" |
| | places | (empty) | | globalScore | 1 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 84 | | glossingSentenceCount | 7 | | matches | | 0 | "felt like a guardian" | | 1 | "quite hide" | | 2 | "smelled like old secrets" | | 3 | "as if searching for answers in titles" | | 4 | "looked like it had been carved" | | 5 | "felt like a dare" | | 6 | "something like hope" |
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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 | 1454 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 139 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 65 | | mean | 22.37 | | std | 19.82 | | cv | 0.886 | | sampleLengths | | 0 | 71 | | 1 | 77 | | 2 | 1 | | 3 | 79 | | 4 | 16 | | 5 | 62 | | 6 | 29 | | 7 | 15 | | 8 | 16 | | 9 | 34 | | 10 | 5 | | 11 | 22 | | 12 | 32 | | 13 | 18 | | 14 | 19 | | 15 | 8 | | 16 | 57 | | 17 | 16 | | 18 | 6 | | 19 | 56 | | 20 | 15 | | 21 | 23 | | 22 | 15 | | 23 | 2 | | 24 | 25 | | 25 | 20 | | 26 | 17 | | 27 | 6 | | 28 | 3 | | 29 | 55 | | 30 | 4 | | 31 | 38 | | 32 | 30 | | 33 | 6 | | 34 | 24 | | 35 | 43 | | 36 | 4 | | 37 | 21 | | 38 | 40 | | 39 | 13 | | 40 | 3 | | 41 | 42 | | 42 | 2 | | 43 | 54 | | 44 | 13 | | 45 | 5 | | 46 | 16 | | 47 | 5 | | 48 | 21 | | 49 | 19 |
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| 98.52% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 104 | | matches | | 0 | "been carved" | | 1 | "being opened" |
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| 75.97% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 215 | | matches | | 0 | "was watching" | | 1 | "was waiting" | | 2 | "was coming" | | 3 | "were clawing" |
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| 40.08% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 139 | | ratio | 0.036 | | matches | | 0 | "Lucien’s amber eye adjusted instantly to the gloom, scanning for threats, while his black eye—dull as obsidian—fixed on the figure standing by the window." | | 1 | "She knew that look—he’d worn it countless times when he was waiting for her to make the first move, when the space between them crackled with unspoken words." | | 2 | "She exhaled, a sound caught between frustration and something else—longing, maybe, or the ghost of it." | | 3 | "She should’ve hated him for this—should’ve slammed the door in his face, told him to rot in the underworld he’d chosen." | | 4 | "Aurora watched her fingers trace the intricate symbols etched into its head—symbols she’d taught him were ward against betrayal." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 633 | | adjectiveStacks | 1 | | stackExamples | | 0 | "cramped, book-lined hallway" |
| | adverbCount | 24 | | adverbRatio | 0.037914691943127965 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.007898894154818325 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 139 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 139 | | mean | 10.46 | | std | 7.16 | | cv | 0.684 | | sampleLengths | | 0 | 22 | | 1 | 17 | | 2 | 18 | | 3 | 14 | | 4 | 10 | | 5 | 13 | | 6 | 30 | | 7 | 24 | | 8 | 1 | | 9 | 5 | | 10 | 38 | | 11 | 36 | | 12 | 13 | | 13 | 3 | | 14 | 16 | | 15 | 13 | | 16 | 5 | | 17 | 28 | | 18 | 14 | | 19 | 8 | | 20 | 7 | | 21 | 11 | | 22 | 4 | | 23 | 10 | | 24 | 6 | | 25 | 8 | | 26 | 5 | | 27 | 7 | | 28 | 14 | | 29 | 5 | | 30 | 19 | | 31 | 3 | | 32 | 11 | | 33 | 13 | | 34 | 8 | | 35 | 9 | | 36 | 6 | | 37 | 3 | | 38 | 16 | | 39 | 3 | | 40 | 5 | | 41 | 3 | | 42 | 17 | | 43 | 11 | | 44 | 4 | | 45 | 25 | | 46 | 11 | | 47 | 5 | | 48 | 6 | | 49 | 9 |
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| 42.09% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.28776978417266186 | | totalSentences | 139 | | uniqueOpeners | 40 | |
| 68.73% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 97 | | matches | | 0 | "Still wore her hair in" | | 1 | "Somewhere below, the curry house" |
| | ratio | 0.021 | |
| 46.80% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 42 | | totalSentences | 97 | | matches | | 0 | "He’d spent ten minutes convincing" | | 1 | "She hadn’t changed, not really." | | 2 | "Her bright blue eyes were" | | 3 | "Her voice was softer than" | | 4 | "He crossed the threshold without" | | 5 | "She hadn’t slept in hours." | | 6 | "She knew that look—he’d worn" | | 7 | "he said, holding up his" | | 8 | "She stepped back, her boots" | | 9 | "He nodded toward the chipped" | | 10 | "He set his cane against" | | 11 | "He pushed off the table," | | 12 | "She exhaled, a sound caught" | | 13 | "She turned away, crossing to" | | 14 | "He’d read her favorites." | | 15 | "She’d left notes in the" | | 16 | "she said, not looking at" | | 17 | "She didn’t answer, but her" | | 18 | "He remembered the first time" | | 19 | "She’d laughed when he’d offered" |
| | ratio | 0.433 | |
| 63.09% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 77 | | totalSentences | 97 | | matches | | 0 | "The deadbolt clicked twice, then" | | 1 | "Lucien Moreau pressed his palm" | | 2 | "He’d spent ten minutes convincing" | | 3 | "The cat had always been" | | 4 | "A key slid into the" | | 5 | "The door swung inward, revealing" | | 6 | "Books teetered in precarious stacks" | | 7 | "Lucien’s amber eye adjusted instantly" | | 8 | "She hadn’t changed, not really." | | 9 | "Her bright blue eyes were" | | 10 | "Her voice was softer than" | | 11 | "He crossed the threshold without" | | 12 | "The floorboards creaked under his" | | 13 | "She hadn’t slept in hours." | | 14 | "She knew that look—he’d worn" | | 15 | "he said, holding up his" | | 16 | "The ivory grip gleamed faintly" | | 17 | "She stepped back, her boots" | | 18 | "He nodded toward the chipped" | | 19 | "The words hung between them," |
| | ratio | 0.794 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 11 | | totalSentences | 97 | | matches | | 0 | "Before he’d left without a" | | 1 | "Before she’d learned to trust" | | 2 | "Because some debts don’t expire." | | 3 | "Because the package wasn’t what" | | 4 | "Because she was the only" | | 5 | "Because she still made his" | | 6 | "Now they felt like a" | | 7 | "Because some ghosts don’t stay" | | 8 | "Because the demons from his" | | 9 | "Because she was the only" | | 10 | "Because he’d waited six years" |
| | ratio | 0.113 | |
| 60.44% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 52 | | technicalSentenceCount | 6 | | matches | | 0 | "Still wore her hair in its usual shoulder-length straightness, still pulled her left wrist behind her left knee when she thought no one was watching, as if the …" | | 1 | "The floorboards creaked under his weight, a sound that made Aurora’s shoulders tense." | | 2 | "And two people who’d built their lives on running from things they couldn’t untangle." | | 3 | "She turned away, crossing to the bookshelf, fingers brushing spines as if searching for answers in titles." | | 4 | "She’d left notes in the margins of his copy of *The Art of War*, inked in a script that looked like it had been carved." | | 5 | "She closed the distance, her hand finding his jaw, thumb tracing the scar there." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 5 | | matches | | 0 | "He set, the hidden blade inside it catching a glint of light" | | 1 | "she said, not looking at him" | | 2 | "She didn’t, but her fingers stilled on *The Lovers’ Guide to Subterfuge*, its pages yellowed and fragile" | | 3 | "she said again, but her voice wavered" | | 4 | "she said, but her voice lacked its earlier edge" |
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| 93.40% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 3 | | fancyTags | | 0 | "She didn’t (do)" | | 1 | "she whispered (whisper)" | | 2 | "she whispered (whisper)" |
| | dialogueSentences | 53 | | tagDensity | 0.17 | | leniency | 0.34 | | rawRatio | 0.333 | | effectiveRatio | 0.113 | |