| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 1 | | adverbTags | | 0 | "David gestured broadly [broadly]" |
| | dialogueSentences | 77 | | tagDensity | 0.156 | | leniency | 0.312 | | rawRatio | 0.083 | | effectiveRatio | 0.026 | |
| 97.23% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1807 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 80.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 72.33% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1807 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "systematic" | | 1 | "eyebrow" | | 2 | "silence" | | 3 | "flickered" | | 4 | "weight" | | 5 | "reminder" | | 6 | "familiar" | | 7 | "throbbed" | | 8 | "methodical" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 106 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 3 | | narrationSentences | 106 | | filterMatches | (empty) | | hedgeMatches | | 0 | "seemed to" | | 1 | "started to" | | 2 | "began to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 171 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 44 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1807 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 68 | | wordCount | 1091 | | uniqueNames | 13 | | maxNameDensity | 2.47 | | worstName | "David" | | maxWindowNameDensity | 5.5 | | worstWindowName | "David" | | discoveredNames | | Raven | 2 | | Nest | 2 | | Marcus | 3 | | November | 1 | | Silas | 20 | | Edinburgh | 1 | | Hargreaves | 2 | | Chief | 1 | | David | 27 | | Bratislava | 2 | | Prague | 1 | | Vienna | 3 | | Lagavulin | 3 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Marcus" | | 3 | "Silas" | | 4 | "Hargreaves" | | 5 | "David" |
| | places | | 0 | "Edinburgh" | | 1 | "Bratislava" | | 2 | "Prague" | | 3 | "Vienna" |
| | globalScore | 0.263 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 65 | | 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 | 1807 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 171 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 91 | | mean | 19.86 | | std | 20.1 | | cv | 1.012 | | sampleLengths | | 0 | 85 | | 1 | 11 | | 2 | 24 | | 3 | 55 | | 4 | 5 | | 5 | 34 | | 6 | 1 | | 7 | 33 | | 8 | 72 | | 9 | 30 | | 10 | 10 | | 11 | 5 | | 12 | 62 | | 13 | 4 | | 14 | 10 | | 15 | 42 | | 16 | 22 | | 17 | 1 | | 18 | 30 | | 19 | 8 | | 20 | 6 | | 21 | 28 | | 22 | 3 | | 23 | 6 | | 24 | 45 | | 25 | 4 | | 26 | 4 | | 27 | 37 | | 28 | 34 | | 29 | 6 | | 30 | 11 | | 31 | 4 | | 32 | 14 | | 33 | 11 | | 34 | 20 | | 35 | 37 | | 36 | 3 | | 37 | 55 | | 38 | 3 | | 39 | 15 | | 40 | 7 | | 41 | 3 | | 42 | 2 | | 43 | 37 | | 44 | 6 | | 45 | 6 | | 46 | 4 | | 47 | 51 | | 48 | 31 | | 49 | 11 |
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| 98.64% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 106 | | matches | | 0 | "been eleven" | | 1 | "being asked" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 182 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 171 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1097 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 42 | | adverbRatio | 0.03828623518687329 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.0054694621695533276 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 171 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 171 | | mean | 10.57 | | std | 9.14 | | cv | 0.865 | | sampleLengths | | 0 | 22 | | 1 | 28 | | 2 | 2 | | 3 | 6 | | 4 | 27 | | 5 | 11 | | 6 | 6 | | 7 | 18 | | 8 | 24 | | 9 | 24 | | 10 | 7 | | 11 | 5 | | 12 | 4 | | 13 | 14 | | 14 | 6 | | 15 | 10 | | 16 | 1 | | 17 | 6 | | 18 | 11 | | 19 | 16 | | 20 | 2 | | 21 | 8 | | 22 | 40 | | 23 | 6 | | 24 | 2 | | 25 | 10 | | 26 | 4 | | 27 | 4 | | 28 | 4 | | 29 | 14 | | 30 | 5 | | 31 | 3 | | 32 | 10 | | 33 | 5 | | 34 | 29 | | 35 | 9 | | 36 | 16 | | 37 | 8 | | 38 | 4 | | 39 | 10 | | 40 | 5 | | 41 | 13 | | 42 | 10 | | 43 | 3 | | 44 | 11 | | 45 | 22 | | 46 | 1 | | 47 | 5 | | 48 | 10 | | 49 | 15 |
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| 54.97% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.3684210526315789 | | totalSentences | 171 | | uniqueOpeners | 63 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 95 | | matches | | 0 | "Only Marcus remained, hunched in" | | 1 | "Of course he did." | | 2 | "Somewhere outside, a car alarm" |
| | ratio | 0.032 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 23 | | totalSentences | 95 | | matches | | 0 | "His fingers tightened once around" | | 1 | "He shook water from silver-streaked" | | 2 | "His gaze landed on Silas" | | 3 | "His gait had changed." | | 4 | "His gaze lingered on one" | | 5 | "He poured two fingers into" | | 6 | "His expression didn't change, but" | | 7 | "He poured his own measure" | | 8 | "He looked away first." | | 9 | "He watched her disappear around" | | 10 | "His knee had started to" | | 11 | "He shifted his weight to" | | 12 | "His fingers drummed once against" | | 13 | "He refilled David's glass without" | | 14 | "He'd been saving it." | | 15 | "He rotated his signet ring," | | 16 | "He picked up his glass" | | 17 | "He buttoned his coat, pulled" | | 18 | "He looked older than fifty-three." | | 19 | "His hand rested on the" |
| | ratio | 0.242 | |
| 17.89% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 84 | | totalSentences | 95 | | matches | | 0 | "The green neon hummed its" | | 1 | "Silas stood behind the bar," | | 2 | "The regulars had come and" | | 3 | "The door swung open with" | | 4 | "Silas's hand stilled on the" | | 5 | "His fingers tightened once around" | | 6 | "The man who stepped inside" | | 7 | "He shook water from silver-streaked" | | 8 | "His gaze landed on Silas" | | 9 | "The voice hit first." | | 10 | "The way he stretched certain" | | 11 | "The faint trace of Edinburgh" | | 12 | "Marcus glanced up from his" | | 13 | "Silas caught his eye and" | | 14 | "Marcus took the hint, left" | | 15 | "Section Chief now, if the" | | 16 | "The last time Silas had" | | 17 | "That had been eleven years" | | 18 | "David approached the bar." | | 19 | "His gait had changed." |
| | ratio | 0.884 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 95 | | matches | | 0 | "Before the knee that still" | | 1 | "Before all of it." |
| | ratio | 0.021 | |
| 40.82% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 42 | | technicalSentenceCount | 6 | | matches | | 0 | "Silas stood behind the bar, polishing a glass that had been clean for the better part of ten minutes, watching the water trace its paths down the glass." | | 1 | "The man who stepped inside wore a coat that cost more than most people's rent, charcoal grey, tailored close, the shoulders dark with rain." | | 2 | "He shook water from silver-streaked hair and looked around the bar with the quick, systematic sweep of someone who'd spent a career cataloguing exits." | | 3 | "The last time Silas had seen him, David had been bleeding from a wound in his side, pressing his back against a concrete wall in a warehouse outside Bratislava,…" | | 4 | "He shifted his weight to his good leg without thinking about it, and caught David's gaze dropping to the movement." | | 5 | "There were lines around his eyes that hadn't been there in Bratislava, a heaviness to his shoulders that spoke of years spent carrying weight in rooms where no …" |
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| 83.33% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 1 | | matches | | 0 | "He rotated, a full turn, then back" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 77 | | tagDensity | 0.013 | | leniency | 0.026 | | rawRatio | 0 | | effectiveRatio | 0 | |