| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 25 | | tagDensity | 0.6 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 68.62% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 956 | | totalAiIsmAdverbs | 6 | | found | | 0 | | | 1 | | adverb | "deliberately" | | count | 1 |
| | 2 | | | 3 | | | 4 | |
| | highlights | | 0 | "quickly" | | 1 | "deliberately" | | 2 | "slowly" | | 3 | "slightly" | | 4 | "suddenly" |
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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) | |
| 47.70% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 956 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "pulse" | | 1 | "pulsed" | | 2 | "gloom" | | 3 | "tangible" | | 4 | "scanning" | | 5 | "reminder" | | 6 | "unravel" | | 7 | "measured" | | 8 | "raced" | | 9 | "whisper" |
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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 | 53 | | matches | (empty) | |
| 61.99% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 53 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 63 | | 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 | 957 | | ratio | 0 | | matches | (empty) | |
| 83.33% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 2 | | matches | | 0 | "She felt a subtle shift in the air, a faint pressure against her skin – a trick of the damp, she told herself, but the p…" | | 1 | "Pushing against the shelf, it groaned inward, revealing a narrow passage leading into darkness." |
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| 82.25% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 43 | | wordCount | 738 | | uniqueNames | 20 | | maxNameDensity | 1.36 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | Detective | 1 | | Harlow | 1 | | Quinn | 10 | | Silas | 6 | | Moreau | 1 | | Raven | 3 | | Nest | 3 | | Soho | 1 | | Morris | 1 | | Officer | 1 | | Davies | 2 | | Formica | 1 | | London | 1 | | Scotch | 1 | | Glock | 2 | | Suddenly | 1 | | Tomás | 4 | | Herrera | 1 | | Saint | 1 | | Christopher | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Silas" | | 3 | "Moreau" | | 4 | "Raven" | | 5 | "Nest" | | 6 | "Morris" | | 7 | "Officer" | | 8 | "Davies" | | 9 | "Glock" | | 10 | "Suddenly" | | 11 | "Tomás" | | 12 | "Herrera" | | 13 | "Saint" | | 14 | "Christopher" |
| | places | | | globalScore | 0.822 | | windowScore | 1 | |
| 97.92% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 48 | | glossingSentenceCount | 1 | | matches | | 0 | "felt like a mausoleum of forgotten secr" |
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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 | 957 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 63 | | matches | (empty) | |
| 99.79% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 24 | | mean | 39.88 | | std | 19.91 | | cv | 0.499 | | sampleLengths | | 0 | 76 | | 1 | 57 | | 2 | 77 | | 3 | 21 | | 4 | 28 | | 5 | 65 | | 6 | 31 | | 7 | 72 | | 8 | 10 | | 9 | 54 | | 10 | 47 | | 11 | 21 | | 12 | 30 | | 13 | 42 | | 14 | 23 | | 15 | 32 | | 16 | 21 | | 17 | 37 | | 18 | 30 | | 19 | 31 | | 20 | 51 | | 21 | 18 | | 22 | 66 | | 23 | 17 |
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| 98.64% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 53 | | matches | | |
| 87.96% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 119 | | matches | | 0 | "was sitting" | | 1 | "was kneeling" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 63 | | ratio | 0.079 | | matches | | 0 | "Inside, the air hung heavy with the smell of stale beer, cigarettes, and something vaguely metallic – blood, perhaps, though it could be the damp." | | 1 | "She moved deeper into the bar, her eyes scanning the room, absorbing the details – the chipped Formica tables, the faded maps plastered on the walls, the photographs depicting scenes of a bygone era." | | 2 | "She felt a subtle shift in the air, a faint pressure against her skin – a trick of the damp, she told herself, but the prickle of unease remained." | | 3 | "His back was to her, but Quinn recognized the posture – the slight tilt of the shoulders, the way he held himself." | | 4 | "Suddenly, a figure emerged from the shadows – Tomás Herrera." |
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| 98.58% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 737 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 25 | | adverbRatio | 0.033921302578018994 | | lyAdverbCount | 16 | | lyAdverbRatio | 0.021709633649932156 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 63 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 63 | | mean | 15.19 | | std | 7.42 | | cv | 0.489 | | sampleLengths | | 0 | 18 | | 1 | 20 | | 2 | 22 | | 3 | 16 | | 4 | 19 | | 5 | 25 | | 6 | 13 | | 7 | 5 | | 8 | 16 | | 9 | 15 | | 10 | 21 | | 11 | 20 | | 12 | 21 | | 13 | 13 | | 14 | 15 | | 15 | 3 | | 16 | 18 | | 17 | 34 | | 18 | 10 | | 19 | 16 | | 20 | 2 | | 21 | 13 | | 22 | 12 | | 23 | 17 | | 24 | 29 | | 25 | 14 | | 26 | 10 | | 27 | 16 | | 28 | 24 | | 29 | 14 | | 30 | 11 | | 31 | 22 | | 32 | 14 | | 33 | 8 | | 34 | 13 | | 35 | 10 | | 36 | 20 | | 37 | 20 | | 38 | 22 | | 39 | 14 | | 40 | 9 | | 41 | 22 | | 42 | 10 | | 43 | 12 | | 44 | 9 | | 45 | 10 | | 46 | 15 | | 47 | 12 | | 48 | 8 | | 49 | 22 |
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| 68.25% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.42857142857142855 | | totalSentences | 63 | | uniqueOpeners | 27 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 52 | | matches | | 0 | "Too late for a quiet" | | 1 | "Suddenly, a figure emerged from" |
| | ratio | 0.038 | |
| 89.23% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 17 | | totalSentences | 52 | | matches | | 0 | "He’d vanished into The Raven’s" | | 1 | "she asked, her voice low" | | 2 | "She moved deeper into the" | | 3 | "she ordered, pulling out her" | | 4 | "She felt a subtle shift" | | 5 | "she instructed, stepping into the" | | 6 | "His back was to her," | | 7 | "She moved closer, her hand" | | 8 | "she said, her voice deliberately" | | 9 | "He turned slowly, a sardonic" | | 10 | "he said, taking a sip" | | 11 | "she countered, gesturing to the" | | 12 | "He was kneeling beside the" | | 13 | "She’d heard whispers, rumors of" | | 14 | "He trailed off, his eyes" | | 15 | "She glanced at the rain-streaked" | | 16 | "she said, her voice barely" |
| | ratio | 0.327 | |
| 17.69% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 46 | | totalSentences | 52 | | matches | | 0 | "The rain hammered against Detective" | | 1 | "Each drop seemed to carry" | | 2 | "He’d vanished into The Raven’s" | | 3 | "The neon green sign above" | | 4 | "Quinn pushed open the door," | | 5 | "The bar was mostly empty." | | 6 | "A scattering of figures huddled" | | 7 | "A grizzled man with a" | | 8 | "Quinn ignored him, her focus" | | 9 | "she asked, her voice low" | | 10 | "Davies replied, the rain drumming" | | 11 | "Quinn’s jaw tightened." | | 12 | "The military precision ingrained in" | | 13 | "She moved deeper into the" | | 14 | "The Raven’s Nest felt like" | | 15 | "she ordered, pulling out her" | | 16 | "The bookshelf was unremarkable, crammed" | | 17 | "Quinn ran her fingers along" | | 18 | "She felt a subtle shift" | | 19 | "she instructed, stepping into the" |
| | ratio | 0.885 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 52 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 33 | | technicalSentenceCount | 1 | | matches | | 0 | "She moved deeper into the bar, her eyes scanning the room, absorbing the details – the chipped Formica tables, the faded maps plastered on the walls, the photog…" |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 7 | | matches | | 0 | "Davies replied, the rain drumming against his own uniform cap" | | 1 | "she said, her voice deliberately flat" | | 2 | "Quinn replied, her eyes assessing him" | | 3 | "Silas said, his smile widening slightly" | | 4 | "Tomás said, his voice calm and measured" | | 5 | "Quinn finished, her hand tightening around her Glock" | | 6 | "she said, her voice barely a whisper" |
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| 70.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 2 | | fancyTags | | 0 | "she ordered (order)" | | 1 | "Tomás corrected (correct)" |
| | dialogueSentences | 25 | | tagDensity | 0.4 | | leniency | 0.8 | | rawRatio | 0.2 | | effectiveRatio | 0.16 | |