| 33.33% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 3 | | adverbTags | | 0 | "She gestured vaguely [vaguely]" | | 1 | "Her voice hardened slightly [slightly]" | | 2 | "she said finally [finally]" |
| | dialogueSentences | 27 | | tagDensity | 0.667 | | leniency | 1 | | rawRatio | 0.167 | | effectiveRatio | 0.167 | |
| 41.63% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1028 | | totalAiIsmAdverbs | 12 | | found | | | highlights | | 0 | "slightly" | | 1 | "really" | | 2 | "carefully" | | 3 | "precisely" | | 4 | "slowly" | | 5 | "very" |
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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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1028 | | totalAiIsms | 27 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | | | 21 | |
| | highlights | | 0 | "echoing" | | 1 | "chaotic" | | 2 | "testament" | | 3 | "furrowed" | | 4 | "navigating" | | 5 | "gleaming" | | 6 | "palpable" | | 7 | "tension" | | 8 | "intensity" | | 9 | "warmth" | | 10 | "flicker" | | 11 | "weight" | | 12 | "unspoken" | | 13 | "scanning" | | 14 | "constructed" | | 15 | "implication" | | 16 | "intriguing" | | 17 | "silence" | | 18 | "whisper" | | 19 | "clandestine" | | 20 | "resonance" | | 21 | "perfect" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 48 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 48 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 58 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 42 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1030 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 1 | | matches | | 0 | "Instead, she continued to trace the faded lines of a winding street, her movements precise, almost clinical." |
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| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 21 | | wordCount | 782 | | uniqueNames | 6 | | maxNameDensity | 1.15 | | worstName | "Lucien" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Lucien" | | discoveredNames | | Lucien | 9 | | Moreau | 1 | | Dust | 1 | | Aurora | 7 | | Carter | 1 | | London | 2 |
| | persons | | 0 | "Lucien" | | 1 | "Moreau" | | 2 | "Dust" | | 3 | "Aurora" | | 4 | "Carter" |
| | places | | | globalScore | 0.925 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 43 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.971 | | wordCount | 1030 | | matches | | 0 | "not a dramatic burst of scent and sound, but the sudden, jarring intrusion of a feminine shriek cut throu" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 58 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 17 | | mean | 60.59 | | std | 30.52 | | cv | 0.504 | | sampleLengths | | 0 | 98 | | 1 | 88 | | 2 | 102 | | 3 | 75 | | 4 | 78 | | 5 | 33 | | 6 | 65 | | 7 | 21 | | 8 | 53 | | 9 | 84 | | 10 | 15 | | 11 | 9 | | 12 | 68 | | 13 | 13 | | 14 | 58 | | 15 | 74 | | 16 | 96 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 48 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 107 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 58 | | ratio | 0.086 | | matches | | 0 | "Dust motes danced in the single shaft of weak sunlight slicing through the perpetually drawn curtains, illuminating a chaotic landscape of stacked books, overflowing ashtrays, and half-finished sketches of anatomical diagrams – a testament to Aurora Carter’s fiercely independent, slightly mad, existence." | | 1 | "The air hung thick with the scent of old paper, stale tobacco, and something vaguely floral – a lingering attempt at masking the less pleasant aspects of her living space, he suspected." | | 2 | "He took a slow, deliberate circle, his eyes scanning the details – the worn armchair slumped in a corner, the overflowing bookshelves, the small, framed photograph on the mantelpiece depicting a younger Aurora, laughing, with a man he didn't recognize." | | 3 | "“Considering the circumstances.” She gestured vaguely to the chair opposite her, a silent invitation—or perhaps a carefully constructed barrier." | | 4 | "And just as a sudden, piercing siren wailed in the distance, a single, crimson rose – a peculiar, almost unnervingly perfect bloom – appeared on the mantelpiece, nestled amongst the dusty photographs, a silent, unsettling declaration of intent." |
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| 57.86% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 366 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 24 | | adverbRatio | 0.06557377049180328 | | lyAdverbCount | 16 | | lyAdverbRatio | 0.04371584699453552 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 58 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 58 | | mean | 17.76 | | std | 10.03 | | cv | 0.565 | | sampleLengths | | 0 | 23 | | 1 | 42 | | 2 | 33 | | 3 | 14 | | 4 | 23 | | 5 | 14 | | 6 | 20 | | 7 | 17 | | 8 | 19 | | 9 | 32 | | 10 | 12 | | 11 | 24 | | 12 | 15 | | 13 | 21 | | 14 | 16 | | 15 | 5 | | 16 | 10 | | 17 | 18 | | 18 | 5 | | 19 | 11 | | 20 | 16 | | 21 | 40 | | 22 | 11 | | 23 | 14 | | 24 | 19 | | 25 | 13 | | 26 | 15 | | 27 | 29 | | 28 | 8 | | 29 | 3 | | 30 | 11 | | 31 | 7 | | 32 | 16 | | 33 | 29 | | 34 | 8 | | 35 | 12 | | 36 | 11 | | 37 | 8 | | 38 | 6 | | 39 | 23 | | 40 | 24 | | 41 | 11 | | 42 | 4 | | 43 | 9 | | 44 | 12 | | 45 | 27 | | 46 | 29 | | 47 | 4 | | 48 | 9 | | 49 | 7 |
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| 79.31% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.5172413793103449 | | totalSentences | 58 | | uniqueOpeners | 30 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 48 | | matches | | 0 | "Instead, she continued to trace" | | 1 | "Just a cold, assessing scrutiny." |
| | ratio | 0.042 | |
| 28.33% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 23 | | totalSentences | 48 | | matches | | 0 | "He hadn’t expected a grand" | | 1 | "She’d been meticulously dissecting a" | | 2 | "She didn’t look up immediately," | | 3 | "He adjusted his ivory-handled cane," | | 4 | "he observed, his voice a" | | 5 | "she replied, her voice flat," | | 6 | "She carefully set down the" | | 7 | "He took a slow, deliberate" | | 8 | "She gestured vaguely to the" | | 9 | "He ran a hand through" | | 10 | "He paused, letting the word" | | 11 | "Her voice hardened slightly" | | 12 | "He tilted his head, a" | | 13 | "She didn’t respond immediately, her" | | 14 | "He wasn’t looking for an" | | 15 | "He was simply observing, cataloging," | | 16 | "He'd tracked her movements for" | | 17 | "she said finally, her voice" | | 18 | "she replied, her voice regaining" | | 19 | "She tapped a finger on" |
| | ratio | 0.479 | |
| 22.50% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 42 | | totalSentences | 48 | | matches | | 0 | "The brass knob shrieked a" | | 1 | "Dust motes danced in the" | | 2 | "He hadn’t expected a grand" | | 3 | "Aurora said, her voice tight," | | 4 | "She’d been meticulously dissecting a" | | 5 | "A silver scalpel lay on" | | 6 | "She didn’t look up immediately," | | 7 | "Lucien surveyed the room, a" | | 8 | "The air hung thick with" | | 9 | "He adjusted his ivory-handled cane," | | 10 | "he observed, his voice a" | | 11 | "Aurora finally raised her head," | | 12 | "she replied, her voice flat," | | 13 | "She carefully set down the" | | 14 | "Lucien admitted, stepping further into" | | 15 | "The small space felt even" | | 16 | "He took a slow, deliberate" | | 17 | "Aurora stated, her lips curving" | | 18 | "She gestured vaguely to the" | | 19 | "Lucien settled into the chair," |
| | ratio | 0.875 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 48 | | matches | (empty) | | ratio | 0 | |
| 85.71% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 25 | | technicalSentenceCount | 2 | | matches | | 0 | "He took a slow, deliberate circle, his eyes scanning the details – the worn armchair slumped in a corner, the overflowing bookshelves, the small, framed photogr…" | | 1 | "He'd tracked her movements for weeks, piecing together the fragments of her life, trying to understand the reason for this sudden, unexpected reappearance." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 8 | | matches | | 0 | "Aurora said, her voice tight, a brittle thread stretched taut" | | 1 | "he observed, his voice a smooth, carefully modulated baritone," | | 2 | "she replied, her voice flat, devoid of inflection" | | 3 | "Aurora stated, her lips curving into a ghost of a smile" | | 4 | "she said finally, her voice barely a whisper" | | 5 | "Lucien pressed, his voice low and deliberate" | | 6 | "she replied, her voice regaining a touch of its earlier composure" | | 7 | "she said, her voice tight" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 5 | | fancyTags | | 0 | "The brass knob shrieked (shriek)" | | 1 | "he observed (observe)" | | 2 | "Lucien admitted (admit)" | | 3 | "Aurora stated (state)" | | 4 | "Lucien pressed (press)" |
| | dialogueSentences | 27 | | tagDensity | 0.37 | | leniency | 0.741 | | rawRatio | 0.5 | | effectiveRatio | 0.37 | |