| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 17 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 89 | | tagDensity | 0.191 | | leniency | 0.382 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 97.68% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2159 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 100.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | | codexExemptions | | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 65.26% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2159 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "silence" | | 1 | "weight" | | 2 | "scanned" | | 3 | "charm" | | 4 | "flickered" | | 5 | "intensity" | | 6 | "trembled" | | 7 | "dance" | | 8 | "wavering" | | 9 | "predator" |
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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 | 129 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 129 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 202 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 44 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 2184 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 17 | | unquotedAttributions | 0 | | matches | (empty) | |
| 40.73% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 69 | | wordCount | 1510 | | uniqueNames | 12 | | maxNameDensity | 2.19 | | worstName | "Julian" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Julian" | | discoveredNames | | November | 1 | | Soho | 1 | | Raven | 1 | | Nest | 1 | | Tuesday | 1 | | Silas | 23 | | Ashworth | 1 | | Prague | 3 | | Berlin | 1 | | Julian | 33 | | Jameson | 2 | | Chinese | 1 |
| | persons | | 0 | "Silas" | | 1 | "Ashworth" | | 2 | "Julian" | | 3 | "Jameson" |
| | places | | 0 | "Soho" | | 1 | "Raven" | | 2 | "Prague" | | 3 | "Berlin" |
| | globalScore | 0.407 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 86 | | 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 | 2184 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 202 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 108 | | mean | 20.22 | | std | 20.76 | | cv | 1.027 | | sampleLengths | | 0 | 53 | | 1 | 43 | | 2 | 72 | | 3 | 24 | | 4 | 1 | | 5 | 19 | | 6 | 1 | | 7 | 34 | | 8 | 27 | | 9 | 1 | | 10 | 76 | | 11 | 3 | | 12 | 4 | | 13 | 3 | | 14 | 36 | | 15 | 4 | | 16 | 9 | | 17 | 22 | | 18 | 9 | | 19 | 6 | | 20 | 30 | | 21 | 2 | | 22 | 40 | | 23 | 24 | | 24 | 12 | | 25 | 46 | | 26 | 4 | | 27 | 15 | | 28 | 44 | | 29 | 5 | | 30 | 1 | | 31 | 1 | | 32 | 59 | | 33 | 6 | | 34 | 5 | | 35 | 62 | | 36 | 3 | | 37 | 2 | | 38 | 36 | | 39 | 36 | | 40 | 2 | | 41 | 16 | | 42 | 41 | | 43 | 4 | | 44 | 3 | | 45 | 10 | | 46 | 66 | | 47 | 28 | | 48 | 1 | | 49 | 29 |
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| 97.10% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 129 | | matches | | 0 | "was distinguished" | | 1 | "were manicured" | | 2 | "been imagined" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 252 | | matches | | 0 | "were pretending" | | 1 | "was swallowing" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 23 | | semicolonCount | 1 | | flaggedSentences | 21 | | totalSentences | 202 | | ratio | 0.104 | | matches | | 0 | "Silas polished a glass behind the bar, his left leg shifted to a position that had become second nature over fifteen years — weight on the right, the left angled just so." | | 1 | "He scanned the room with practiced eyes — a habit Silas recognized because he'd once had it himself." | | 2 | "Julian Ashworth — because that was the name he'd worn in Prague, in Berlin, in the three ops they'd run together before the fourth one went sideways — smiled." | | 3 | "Julian laughed — a short, sharp sound that died in the space between them." | | 4 | "His signet ring caught the light as he poured — a flash of silver that Julian's eyes tracked with the same precision he'd once used to spot tails and wire signals." | | 5 | "The charm peeled back, revealing something harder underneath — the man Silas had known before the silver hair and the expensive coats." | | 6 | "He remembered Julian before the polish — a younger man with ink-stained fingers from field reports and a habit of humming opera under his breath during stakeouts." | | 7 | "For a moment, the mask slipped — and Silas saw the man underneath, the one who'd carried his own share of that night out of Prague in a silence more complete than any note left on a desk." | | 8 | "\"And I found a man who didn't want to be found.\" Julian's mouth curved — not a smile, something more painful." | | 9 | "They always had — in the field, he'd smoked, a habit he'd kicked when he quit everything else." | | 10 | "He turned it — a quarter rotation, then back." | | 11 | "A gesture Julian recognized; his eyes flickered to the ring and away." | | 12 | "Silas glanced at the nearest map — Prague, 2003, the safe house locations marked in faded red ink." | | 13 | "The tremor was new — three months, maybe four." | | 14 | "\"I want you to say you're sorry. For leaving. For the note. For sixteen years of nothing.\" Julian's voice cracked on the last word — a fracture so brief it might have been imagined." | | 15 | "Silas looked at his old partner — at the silver hair, the manicured hands, the tan from distant places — and he saw the years that stretched between them." | | 16 | "He stared at his drink, and Silas watched the reflection of the green neon sign dance across the surface of the amber liquid — a small, wavering light in the dark." | | 17 | "Her bright blue eyes lingered on Julian for a moment — curious, assessing — before she disappeared up the stairs." | | 18 | "He studied Silas with new eyes — taking in the worn shirt, the silver ring, the slight stoop that the limp forced into his posture." | | 19 | "He poured another measure into Julian's glass, then drew one for himself — a rare thing, drinking on the job." | | 20 | "He picked up his glass and raised it — not a toast, not a salute, something in between." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 709 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 19 | | adverbRatio | 0.02679830747531735 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.004231311706629055 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 202 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 202 | | mean | 10.81 | | std | 9 | | cv | 0.833 | | sampleLengths | | 0 | 19 | | 1 | 34 | | 2 | 32 | | 3 | 4 | | 4 | 7 | | 5 | 19 | | 6 | 12 | | 7 | 23 | | 8 | 18 | | 9 | 7 | | 10 | 2 | | 11 | 15 | | 12 | 1 | | 13 | 7 | | 14 | 12 | | 15 | 1 | | 16 | 29 | | 17 | 5 | | 18 | 20 | | 19 | 7 | | 20 | 1 | | 21 | 14 | | 22 | 13 | | 23 | 12 | | 24 | 8 | | 25 | 17 | | 26 | 12 | | 27 | 3 | | 28 | 4 | | 29 | 3 | | 30 | 5 | | 31 | 31 | | 32 | 4 | | 33 | 9 | | 34 | 4 | | 35 | 13 | | 36 | 5 | | 37 | 9 | | 38 | 6 | | 39 | 8 | | 40 | 22 | | 41 | 2 | | 42 | 34 | | 43 | 6 | | 44 | 6 | | 45 | 18 | | 46 | 12 | | 47 | 6 | | 48 | 22 | | 49 | 18 |
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| 46.04% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.3118811881188119 | | totalSentences | 202 | | uniqueOpeners | 63 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 118 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 34 | | totalSentences | 118 | | matches | | 0 | "It always ached when the" | | 1 | "He scanned the room with" | | 2 | "His hand froze mid-shake, water" | | 3 | "He set it down on" | | 4 | "It didn't reach his eyes." | | 5 | "He stepped closer, his shoes" | | 6 | "He slid onto a barstool" | | 7 | "His hands, when he placed" | | 8 | "His signet ring caught the" | | 9 | "He turned it in his" | | 10 | "His expression gave nothing away." | | 11 | "He pushed the glass across" | | 12 | "He remembered Julian before the" | | 13 | "His hands needed something to" | | 14 | "They always had — in" | | 15 | "He took a slow sip" | | 16 | "He turned it — a" | | 17 | "He studied Silas with an" | | 18 | "He'd put it there the" | | 19 | "He set it down before" |
| | ratio | 0.288 | |
| 6.61% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 107 | | totalSentences | 118 | | matches | | 0 | "The green neon sign buzzed" | | 1 | "Silas polished a glass behind" | | 2 | "The knee ached tonight." | | 3 | "It always ached when the" | | 4 | "The door swung open, bringing" | | 5 | "A man stood in the" | | 6 | "He scanned the room with" | | 7 | "The man's gaze landed on" | | 8 | "His hand froze mid-shake, water" | | 9 | "The glass in" | | 10 | "He set it down on" | | 11 | "Julian Ashworth — because that" | | 12 | "It didn't reach his eyes." | | 13 | "He stepped closer, his shoes" | | 14 | "Julian laughed — a short," | | 15 | "He slid onto a barstool" | | 16 | "The silver hair was distinguished" | | 17 | "The lines around his eyes" | | 18 | "His hands, when he placed" | | 19 | "Silas reached for the Jameson." |
| | ratio | 0.907 | |
| 42.37% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 118 | | matches | | 0 | "Now his hands found other" |
| | ratio | 0.008 | |
| 60.89% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 61 | | technicalSentenceCount | 7 | | matches | | 0 | "Inside The Raven's Nest, the Tuesday crowd had thinned to three regulars nursing their drinks in silence and a couple in the corner who spoke in hushed tones ov…" | | 1 | "Tall, silver-haired, with the kind of tan that came from holidays in places where the sun never set rather than any honest work." | | 2 | "He studied Silas with an intensity that had nothing to do with the bar, the whiskey, or the casual reunion they were pretending this was." | | 3 | "He recovered in an instant, his expression smoothing back into the practiced calm of a man who'd spent decades in rooms where showing emotion was a liability." | | 4 | "Silas looked at his old partner — at the silver hair, the manicured hands, the tan from distant places — and he saw the years that stretched between them." | | 5 | "A young woman stepped in, shaking rain from dark hair that fell straight to her shoulders." | | 6 | "She wore a delivery courier's jacket, the logo of a Chinese restaurant stitched on the back, and she moved through the bar with the ease of someone who belonged…" |
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| 95.59% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 17 | | uselessAdditionCount | 1 | | matches | | 0 | "He stepped, his shoes clicking against the worn wood floor" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 89 | | tagDensity | 0.011 | | leniency | 0.022 | | rawRatio | 0 | | effectiveRatio | 0 | |