| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 23 | | adverbTagCount | 1 | | adverbTags | | 0 | "She waved vaguely [vaguely]" |
| | dialogueSentences | 93 | | tagDensity | 0.247 | | leniency | 0.495 | | rawRatio | 0.043 | | effectiveRatio | 0.022 | |
| 83.26% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1792 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "precisely" | | 1 | "slowly" | | 2 | "carefully" | | 3 | "really" | | 4 | "gently" |
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| 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) | |
| 69.31% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1792 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "silence" | | 1 | "methodical" | | 2 | "flickered" | | 3 | "weight" | | 4 | "fractured" | | 5 | "measured" | | 6 | "trembled" | | 7 | "could feel" | | 8 | "tension" | | 9 | "familiar" |
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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 | 106 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 106 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 175 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 50 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1783 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 34 | | wordCount | 1071 | | uniqueNames | 13 | | maxNameDensity | 0.93 | | worstName | "Diana" | | maxWindowNameDensity | 2 | | worstWindowName | "Diana" | | discoveredNames | | Raven | 2 | | Nest | 2 | | Soho | 2 | | Tuesday | 1 | | Blackwood | 1 | | November | 1 | | Like | 1 | | Diana | 10 | | Prague | 2 | | Martin | 3 | | Charles | 1 | | Bridge | 1 | | Silas | 7 |
| | persons | | 0 | "Nest" | | 1 | "Blackwood" | | 2 | "Diana" | | 3 | "Martin" | | 4 | "Silas" |
| | places | | 0 | "Raven" | | 1 | "Soho" | | 2 | "Tuesday" | | 3 | "Prague" | | 4 | "Charles" | | 5 | "Bridge" |
| | globalScore | 1 | | windowScore | 1 | |
| 2.94% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 68 | | glossingSentenceCount | 4 | | matches | | 0 | "looked like someone who'd spent too long" | | 1 | "quite forgive themselves for surviving it" | | 2 | "as if tasting something foreign" | | 3 | "quite peace but wasn't quite pain either" | | 4 | "quite pain either" |
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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 | 1783 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 175 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 92 | | mean | 19.38 | | std | 17.8 | | cv | 0.918 | | sampleLengths | | 0 | 57 | | 1 | 18 | | 2 | 61 | | 3 | 5 | | 4 | 1 | | 5 | 34 | | 6 | 20 | | 7 | 11 | | 8 | 55 | | 9 | 28 | | 10 | 2 | | 11 | 32 | | 12 | 15 | | 13 | 3 | | 14 | 23 | | 15 | 57 | | 16 | 20 | | 17 | 2 | | 18 | 27 | | 19 | 2 | | 20 | 37 | | 21 | 30 | | 22 | 27 | | 23 | 13 | | 24 | 5 | | 25 | 11 | | 26 | 38 | | 27 | 16 | | 28 | 3 | | 29 | 26 | | 30 | 6 | | 31 | 16 | | 32 | 46 | | 33 | 53 | | 34 | 12 | | 35 | 18 | | 36 | 10 | | 37 | 36 | | 38 | 4 | | 39 | 4 | | 40 | 43 | | 41 | 58 | | 42 | 18 | | 43 | 18 | | 44 | 3 | | 45 | 87 | | 46 | 15 | | 47 | 33 | | 48 | 3 | | 49 | 1 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 106 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 198 | | matches | | |
| 61.22% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 175 | | ratio | 0.029 | | matches | | 0 | "The eyes—those same grey-green eyes he'd once known as well as his own—held something flattened, as if life had pressed them between the pages of a book and forgotten them there." | | 1 | "She moved differently now—guarded, her arms close to her body." | | 2 | "He poured two fingers of the good stuff—the bottle he kept for himself, not the swill he served to strangers—and slid it across to her." | | 3 | "It sat there like an old scar—still visible, still felt, but no longer bleeding." | | 4 | "It was the space between—the breath before the next word, the moment before the next step." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1084 | | adjectiveStacks | 1 | | stackExamples | | | adverbCount | 40 | | adverbRatio | 0.03690036900369004 | | lyAdverbCount | 14 | | lyAdverbRatio | 0.012915129151291513 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 175 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 175 | | mean | 10.19 | | std | 7.94 | | cv | 0.78 | | sampleLengths | | 0 | 19 | | 1 | 14 | | 2 | 24 | | 3 | 18 | | 4 | 10 | | 5 | 16 | | 6 | 4 | | 7 | 31 | | 8 | 5 | | 9 | 1 | | 10 | 7 | | 11 | 13 | | 12 | 14 | | 13 | 8 | | 14 | 10 | | 15 | 2 | | 16 | 6 | | 17 | 5 | | 18 | 14 | | 19 | 10 | | 20 | 20 | | 21 | 11 | | 22 | 13 | | 23 | 2 | | 24 | 13 | | 25 | 2 | | 26 | 25 | | 27 | 3 | | 28 | 4 | | 29 | 12 | | 30 | 3 | | 31 | 3 | | 32 | 7 | | 33 | 16 | | 34 | 5 | | 35 | 18 | | 36 | 5 | | 37 | 15 | | 38 | 14 | | 39 | 11 | | 40 | 6 | | 41 | 3 | | 42 | 2 | | 43 | 14 | | 44 | 13 | | 45 | 2 | | 46 | 24 | | 47 | 13 | | 48 | 11 | | 49 | 19 |
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| 53.14% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.36 | | totalSentences | 175 | | uniqueOpeners | 63 | |
| 33.67% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 99 | | matches | | 0 | "Then she pushed her glass" |
| | ratio | 0.01 | |
| 26.06% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 48 | | totalSentences | 99 | | matches | | 0 | "She stood in the doorway," | | 1 | "His voice carried across the" | | 2 | "She flinched at the sound," | | 3 | "She said his name like" | | 4 | "He gestured to the nearest" | | 5 | "She moved differently now—guarded, her" | | 6 | "She settled onto the stool" | | 7 | "Her fingers were thinner than" | | 8 | "He poured two fingers of" | | 9 | "Their eyes met." | | 10 | "Hers flickered away first." | | 11 | "She wrapped both hands around" | | 12 | "She'd been thirty-one in Prague." | | 13 | "Her eyes closed for a" | | 14 | "She swirled the whiskey" | | 15 | "She gestured at the room," | | 16 | "He'd heard that tone before," | | 17 | "He leaned against the back" | | 18 | "Her jaw tightened." | | 19 | "She drained the whiskey and" |
| | ratio | 0.485 | |
| 30.71% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 85 | | totalSentences | 99 | | matches | | 0 | "The green neon sign hummed" | | 1 | "Silas Blackwood stood behind the" | | 2 | "The door swung open, bringing" | | 3 | "She stood in the doorway," | | 4 | "The cheekbones cut sharper." | | 5 | "The eyes—those same grey-green eyes" | | 6 | "Silas set down the glass." | | 7 | "His voice carried across the" | | 8 | "She flinched at the sound," | | 9 | "She said his name like" | | 10 | "He gestured to the nearest" | | 11 | "Diana walked toward him with" | | 12 | "She moved differently now—guarded, her" | | 13 | "The Diana he'd known in" | | 14 | "This woman moved like she" | | 15 | "She settled onto the stool" | | 16 | "Her fingers were thinner than" | | 17 | "He poured two fingers of" | | 18 | "Their eyes met." | | 19 | "Hers flickered away first." |
| | ratio | 0.859 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 99 | | matches | | 0 | "Now she looked like someone" | | 1 | "As if she'd spotted a" |
| | ratio | 0.02 | |
| 12.99% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 44 | | technicalSentenceCount | 8 | | matches | | 0 | "Silas Blackwood stood behind the bar, polishing a glass with the methodical attention of a man who'd learned that idle hands bred dangerous thoughts." | | 1 | "Dark hair, longer than he remembered, hung limp around a face that had lost its softness." | | 2 | "The eyes—those same grey-green eyes he'd once known as well as his own—held something flattened, as if life had pressed them between the pages of a book and for…" | | 3 | "Silas studied the lines carved into her face, the tightness around her mouth that hadn't been there before." | | 4 | "Beautiful in a way that made people underestimate her, which had been precisely the point." | | 5 | "He'd heard that tone before, from operatives who'd left the field and couldn't quite forgive themselves for surviving it." | | 6 | "Martin, who'd taken a bullet on the Charles Bridge because the intel had been wrong, because someone had talked, because the world was unfair and unforgiving an…" | | 7 | "She wiped her eyes with the back of her hand, quick and rough, as if embarrassed to be caught feeling." |
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| 59.78% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 23 | | uselessAdditionCount | 3 | | matches | | 0 | "She met, and the flatness was gone, replaced by something raw" | | 1 | "She repeated, as if tasting something foreign" | | 2 | "He stood, his knee creaking, and moved back behind the bar" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 3 | | fancyTags | | 0 | "Her fingers pressed (press)" | | 1 | "She repeated (repeat)" | | 2 | "she whispered (whisper)" |
| | dialogueSentences | 93 | | tagDensity | 0.043 | | leniency | 0.086 | | rawRatio | 0.75 | | effectiveRatio | 0.065 | |