| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 76.83% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1079 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "sharply" | | 1 | "cautiously" | | 2 | "completely" | | 3 | "slightly" | | 4 | "truly" |
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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) | |
| 2.69% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1079 | | totalAiIsms | 21 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | |
| | highlights | | 0 | "treacherous" | | 1 | "chill" | | 2 | "stark" | | 3 | "jaw clenched" | | 4 | "echoing" | | 5 | "scanning" | | 6 | "flicker" | | 7 | "pulsed" | | 8 | "clandestine" | | 9 | "tapestry" | | 10 | "hulking" | | 11 | "gloom" | | 12 | "echoed" | | 13 | "electric" | | 14 | "dancing" | | 15 | "kaleidoscope" | | 16 | "unspoken" | | 17 | "glinting" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "jaw/fists clenched" | | count | 1 |
| | 1 | | label | "air was thick with" | | count | 1 |
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| | highlights | | 0 | "jaw clenched" | | 1 | "The air was thick with" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 89 | | matches | (empty) | |
| 94.70% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 89 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 90 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 33 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1076 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 1 | | matches | | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 17 | | wordCount | 1063 | | uniqueNames | 10 | | maxNameDensity | 0.38 | | worstName | "Quinn" | | maxWindowNameDensity | 1 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 2 | | Quinn | 4 | | Morris | 2 | | Soho | 1 | | Raven | 2 | | Nest | 2 | | Clandestine | 1 | | Silas | 1 | | Veil | 1 | | Market | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Morris" | | 3 | "Raven" | | 4 | "Silas" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 77.54% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 69 | | glossingSentenceCount | 2 | | matches | | 0 | "felt like a betrayal of her own gut, an" | | 1 | "eyes that seemed to glow picked through a display of shimmering fabrics" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.929 | | wordCount | 1076 | | matches | | 0 | "Not blood this time, but something older, something mineral" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 90 | | matches | (empty) | |
| 68.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 16 | | mean | 67.25 | | std | 26.09 | | cv | 0.388 | | sampleLengths | | 0 | 113 | | 1 | 92 | | 2 | 79 | | 3 | 78 | | 4 | 93 | | 5 | 66 | | 6 | 89 | | 7 | 77 | | 8 | 65 | | 9 | 5 | | 10 | 64 | | 11 | 78 | | 12 | 60 | | 13 | 41 | | 14 | 27 | | 15 | 49 |
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| 93.44% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 89 | | matches | | 0 | "been dug" | | 1 | "was engaged" | | 2 | "got dismissed" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 152 | | matches | | |
| 15.87% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 90 | | ratio | 0.044 | | matches | | 0 | "A flash of movement at the far end of the alley – a narrow gap between buildings, barely wide enough for a person." | | 1 | "Clandestine meetings, illicit deals, information brokers – the whispers invariably led back to this place." | | 2 | "She pressed on a particularly thick tome– something about ancient navigation." | | 3 | "She dimly recalled hushed whispers, the kind of talk that usually got dismissed as urban legend – a hidden market, a place where those on the fringes of society, those who dealt in the…" |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 251 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 5 | | adverbRatio | 0.0199203187250996 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.01195219123505976 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 90 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 90 | | mean | 11.96 | | std | 6.99 | | cv | 0.585 | | sampleLengths | | 0 | 19 | | 1 | 19 | | 2 | 20 | | 3 | 24 | | 4 | 23 | | 5 | 8 | | 6 | 17 | | 7 | 14 | | 8 | 3 | | 9 | 4 | | 10 | 3 | | 11 | 3 | | 12 | 16 | | 13 | 6 | | 14 | 10 | | 15 | 16 | | 16 | 10 | | 17 | 1 | | 18 | 12 | | 19 | 7 | | 20 | 12 | | 21 | 3 | | 22 | 2 | | 23 | 17 | | 24 | 15 | | 25 | 11 | | 26 | 10 | | 27 | 15 | | 28 | 21 | | 29 | 10 | | 30 | 11 | | 31 | 29 | | 32 | 13 | | 33 | 18 | | 34 | 20 | | 35 | 13 | | 36 | 18 | | 37 | 5 | | 38 | 7 | | 39 | 17 | | 40 | 5 | | 41 | 11 | | 42 | 3 | | 43 | 20 | | 44 | 5 | | 45 | 5 | | 46 | 11 | | 47 | 18 | | 48 | 20 | | 49 | 1 |
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| 48.15% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.35555555555555557 | | totalSentences | 90 | | uniqueOpeners | 32 | |
| 38.76% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 86 | | matches | | 0 | "Only the slick sheen of" |
| | ratio | 0.012 | |
| 89.77% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 28 | | totalSentences | 86 | | matches | | 0 | "Her breath plumed in the" | | 1 | "She put on a burst" | | 2 | "Her jaw clenched." | | 3 | "He wouldn't get away." | | 4 | "He was faster than he" | | 5 | "He rounded a corner, disappearing" | | 6 | "She followed, her boots skidding" | | 7 | "She considered her options, the" | | 8 | "She was one detective against" | | 9 | "She’d seen him duck around" | | 10 | "She moved with military precision," | | 11 | "He wasn't at the bar." | | 12 | "He wasn’t in any of" | | 13 | "Her gaze fixed on it." | | 14 | "It was a classic hiding" | | 15 | "She pressed on a particularly" | | 16 | "She unclipped her torch from" | | 17 | "She moved cautiously, her gloved" | | 18 | "It felt miles beneath the" | | 19 | "Her suspect stood near a" |
| | ratio | 0.326 | |
| 70.47% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 67 | | totalSentences | 86 | | matches | | 0 | "The alley reeked of stale" | | 1 | "Rain slicked the cobblestones, turning" | | 2 | "Her breath plumed in the" | | 3 | "The figure in front of" | | 4 | "A flash of movement at" | | 5 | "The same gap her suspect" | | 6 | "She put on a burst" | | 7 | "The rain plastered her salt-and-pepper" | | 8 | "Her jaw clenched." | | 9 | "He wouldn't get away." | | 10 | "He was faster than he" | | 11 | "He rounded a corner, disappearing" | | 12 | "She followed, her boots skidding" | | 13 | "Quinn took the corner sharply," | | 14 | "A flicker of movement to" | | 15 | "A faded, almost lurid green" | | 16 | "The Raven’s Nest." | | 17 | "Word on the street was" | | 18 | "Clandestine meetings, illicit deals, information" | | 19 | "She considered her options, the" |
| | ratio | 0.779 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 86 | | matches | (empty) | | ratio | 0 | |
| 88.95% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 53 | | technicalSentenceCount | 4 | | matches | | 0 | "The figure in front of her, clad in a dark, dripping coat, stumbled over a overflowing bin, its contents spilling onto the grimy ground." | | 1 | "She followed, her boots skidding on the wet pavement, the clatter echoing in the sudden quiet." | | 2 | "She moved with military precision, her eyes sweeping over the room, looking for any sign of her quarry." | | 3 | "The air that bled from it was cooler, carrying a fainter, yet more potent, scent of damp earth and something…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |