| 70.97% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 31 | | adverbTagCount | 4 | | adverbTags | | 0 | "she said finally [finally]" | | 1 | "she said finally [finally]" | | 2 | "Rory said again [again]" | | 3 | "Silas said quietly [quietly]" |
| | dialogueSentences | 56 | | tagDensity | 0.554 | | leniency | 1 | | rawRatio | 0.129 | | effectiveRatio | 0.129 | |
| 84.67% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1631 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "precisely" | | 1 | "carefully" | | 2 | "slightly" | | 3 | "suddenly" |
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| 60.00% | 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) | |
| 47.88% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1631 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "familiar" | | 1 | "warmth" | | 2 | "sanctuary" | | 3 | "stomach" | | 4 | "footsteps" | | 5 | "charged" | | 6 | "could feel" | | 7 | "traced" | | 8 | "reminder" | | 9 | "intensity" | | 10 | "constructed" | | 11 | "perfect" | | 12 | "echoing" | | 13 | "weight" |
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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 | 1 | | narrationSentences | 94 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 94 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 118 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 48 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1626 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 23 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 63 | | wordCount | 1148 | | uniqueNames | 18 | | maxNameDensity | 1.83 | | worstName | "Marcus" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Marcus" | | discoveredNames | | Raven | 1 | | Nest | 2 | | Rory | 13 | | Tuesday | 1 | | Webb | 1 | | Silas | 10 | | Prague | 1 | | Marcus | 21 | | Evan | 3 | | Jameson | 1 | | Cardiff | 2 | | Soho | 1 | | London | 1 | | Crown | 1 | | Prosecution | 1 | | Service | 1 | | Sarah | 1 | | Yu-Fei | 1 |
| | persons | | 0 | "Raven" | | 1 | "Rory" | | 2 | "Webb" | | 3 | "Silas" | | 4 | "Marcus" | | 5 | "Evan" | | 6 | "Jameson" | | 7 | "Sarah" |
| | places | | 0 | "Prague" | | 1 | "Cardiff" | | 2 | "Soho" | | 3 | "London" | | 4 | "Crown" |
| | globalScore | 0.585 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 72 | | glossingSentenceCount | 1 | | matches | | 0 | "something close to content" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.615 | | wordCount | 1626 | | matches | | 0 | "not much, but it's honest work" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 118 | | matches | | 0 | "saw that his" | | 1 | "realized that she" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 55 | | mean | 29.56 | | std | 22.37 | | cv | 0.757 | | sampleLengths | | 0 | 76 | | 1 | 58 | | 2 | 2 | | 3 | 63 | | 4 | 11 | | 5 | 2 | | 6 | 57 | | 7 | 9 | | 8 | 12 | | 9 | 17 | | 10 | 60 | | 11 | 9 | | 12 | 13 | | 13 | 27 | | 14 | 26 | | 15 | 72 | | 16 | 28 | | 17 | 44 | | 18 | 52 | | 19 | 7 | | 20 | 46 | | 21 | 58 | | 22 | 4 | | 23 | 20 | | 24 | 45 | | 25 | 12 | | 26 | 68 | | 27 | 65 | | 28 | 12 | | 29 | 7 | | 30 | 50 | | 31 | 1 | | 32 | 58 | | 33 | 22 | | 34 | 28 | | 35 | 52 | | 36 | 51 | | 37 | 27 | | 38 | 43 | | 39 | 7 | | 40 | 18 | | 41 | 3 | | 42 | 54 | | 43 | 4 | | 44 | 67 | | 45 | 13 | | 46 | 9 | | 47 | 23 | | 48 | 18 | | 49 | 22 |
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| 90.33% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 94 | | matches | | 0 | "been caught" | | 1 | "being seen" | | 2 | "was gone" | | 3 | "being asked" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 206 | | matches | | |
| 21.79% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 118 | | ratio | 0.042 | | matches | | 0 | "The familiar warmth of the pub wrapped around her like an old coat—all whiskey fumes and the lingering ghost of cigarettes from decades past." | | 1 | "She'd hoped never to have this conversation, never to see that particular look in someone's eyes again—the mixture of hurt and accusation that came with being left behind." | | 2 | "It was what he did—collect information, file it away for later use." | | 3 | "Rory looked around the bar—at the maps on the walls showing places she'd never been, at the photographs of strangers who'd lived full lives in black and white." | | 4 | "Rory wondered what he made of this scene—the ghost of her past confronting the reality of who she'd become." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1160 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 38 | | adverbRatio | 0.032758620689655175 | | lyAdverbCount | 15 | | lyAdverbRatio | 0.01293103448275862 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 118 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 118 | | mean | 13.78 | | std | 9.9 | | cv | 0.718 | | sampleLengths | | 0 | 29 | | 1 | 24 | | 2 | 23 | | 3 | 18 | | 4 | 16 | | 5 | 24 | | 6 | 2 | | 7 | 3 | | 8 | 9 | | 9 | 19 | | 10 | 32 | | 11 | 9 | | 12 | 2 | | 13 | 2 | | 14 | 24 | | 15 | 19 | | 16 | 14 | | 17 | 9 | | 18 | 9 | | 19 | 3 | | 20 | 11 | | 21 | 6 | | 22 | 7 | | 23 | 28 | | 24 | 25 | | 25 | 9 | | 26 | 13 | | 27 | 17 | | 28 | 10 | | 29 | 19 | | 30 | 7 | | 31 | 5 | | 32 | 18 | | 33 | 20 | | 34 | 29 | | 35 | 8 | | 36 | 7 | | 37 | 13 | | 38 | 4 | | 39 | 13 | | 40 | 27 | | 41 | 7 | | 42 | 12 | | 43 | 21 | | 44 | 12 | | 45 | 7 | | 46 | 6 | | 47 | 40 | | 48 | 8 | | 49 | 17 |
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| 65.82% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.4152542372881356 | | totalSentences | 118 | | uniqueOpeners | 49 | |
| 38.31% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 87 | | matches | | 0 | "Then he was gone, leaving" |
| | ratio | 0.011 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 26 | | totalSentences | 87 | | matches | | 0 | "She hadn't expected to find" | | 1 | "He'd aged badly." | | 2 | "His once-golden hair had thinned" | | 3 | "he said, his voice rougher" | | 4 | "He moved with that slight" | | 5 | "His silver signet ring caught" | | 6 | "She'd hoped never to have" | | 7 | "She knew what he meant." | | 8 | "She'd been going to be" | | 9 | "she said, accepting the whiskey" | | 10 | "She searched for something kind" | | 11 | "He rotated his pint glass," | | 12 | "She could feel Silas watching" | | 13 | "It was what he did—collect" | | 14 | "she said finally" | | 15 | "She'd told herself that leaving" | | 16 | "she said, deflecting" | | 17 | "He drained his pint and" | | 18 | "She'd thought about Marcus too," | | 19 | "She'd wondered if he'd gotten" |
| | ratio | 0.299 | |
| 28.97% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 75 | | totalSentences | 87 | | matches | | 0 | "The green neon sign of" | | 1 | "The familiar warmth of the" | | 2 | "Maps covered every inch of" | | 3 | "She hadn't expected to find" | | 4 | "The Nest was her sanctuary" | | 5 | "He'd aged badly." | | 6 | "The rugby-player shoulders had rounded" | | 7 | "His once-golden hair had thinned" | | 8 | "he said, his voice rougher" | | 9 | "Silas emerged from behind the" | | 10 | "He moved with that slight" | | 11 | "His silver signet ring caught" | | 12 | "Silas asked, his tone carefully" | | 13 | "Rory said, not taking her" | | 14 | "Marcus laughed, a sound like" | | 15 | "Rory felt heat creep up" | | 16 | "She'd hoped never to have" | | 17 | "The boy she'd abandoned when" | | 18 | "Silas offered, his weathered hands" | | 19 | "Rory slid onto the stool" |
| | ratio | 0.862 | |
| 57.47% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 87 | | matches | | 0 | "If she'd run from more" |
| | ratio | 0.011 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 41 | | technicalSentenceCount | 9 | | matches | | 0 | "When he lifted his head at the sound of her footsteps, she saw that his face had taken on the puffy, florid quality of a man who'd made peace with drinking alon…" | | 1 | "Silas emerged from behind the bar, his hazel eyes taking in the scene with the practiced assessment of someone who'd spent decades reading rooms." | | 2 | "She'd hoped never to have this conversation, never to see that particular look in someone's eyes again—the mixture of hurt and accusation that came with being l…" | | 3 | "But here was Marcus, her study partner, her debate team co-captain, the boy who'd kissed her after their mock trial victory in their second year." | | 4 | "She'd been going to be a barrister like her father, going to change the world one case at a time." | | 5 | "She could feel Silas watching from the corner of her eye, pretending to clean glasses while cataloging every word, every gesture." | | 6 | "Rory looked around the bar—at the maps on the walls showing places she'd never been, at the photographs of strangers who'd lived full lives in black and white." | | 7 | "She had her flat above the bar, her job with Yu-Fei, her carefully constructed life that belonged entirely to her." | | 8 | "Then he was gone, leaving only the sound of rain against the windows and the weight of everything that could have been." |
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| 44.35% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 31 | | uselessAdditionCount | 5 | | matches | | 0 | "he said, his voice rougher than she remembered" | | 1 | "Silas asked, his tone carefully neutral" | | 2 | "Rory said, not taking her eyes off Marcus" | | 3 | "Silas offered, his weathered hands already moving toward the bottle of Jameson" | | 4 | "Marcus continued, his voice softer now" |
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| 96.43% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 19 | | fancyCount | 3 | | fancyTags | | 0 | "Marcus laughed (laugh)" | | 1 | "Marcus continued (continue)" | | 2 | "Silas corrected (correct)" |
| | dialogueSentences | 56 | | tagDensity | 0.339 | | leniency | 0.679 | | rawRatio | 0.158 | | effectiveRatio | 0.107 | |