| 36.73% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 4 | | adverbTags | | 0 | "She smiled then [then]" | | 1 | "He gestured vaguely [vaguely]" | | 2 | "she said finally [finally]" | | 3 | "Silas said finally [finally]" |
| | dialogueSentences | 49 | | tagDensity | 0.265 | | leniency | 0.531 | | rawRatio | 0.308 | | effectiveRatio | 0.163 | |
| 70.99% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1379 | | totalAiIsmAdverbs | 8 | | found | | 0 | | | 1 | | adverb | "deliberately" | | count | 1 |
| | 2 | | | 3 | | | 4 | | | 5 | |
| | highlights | | 0 | "slowly" | | 1 | "deliberately" | | 2 | "really" | | 3 | "utterly" | | 4 | "carefully" | | 5 | "quickly" |
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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) | |
| 41.99% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1379 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "traced" | | 1 | "comfortable" | | 2 | "familiar" | | 3 | "calculate" | | 4 | "potential" | | 5 | "sense of" | | 6 | "mechanical" | | 7 | "navigate" | | 8 | "constructed" | | 9 | "weight" | | 10 | "silence" | | 11 | "flickered" |
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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 | 68 | | matches | (empty) | |
| 79.83% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 68 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 104 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 41 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1379 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 33 | | wordCount | 1048 | | uniqueNames | 8 | | maxNameDensity | 1.24 | | worstName | "Silas" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 11 | | Gin | 1 | | Prague | 1 | | Silas | 13 | | Mark | 3 | | London | 2 | | Send | 1 | | Blackwood | 1 |
| | persons | | 0 | "Rory" | | 1 | "Silas" | | 2 | "Mark" | | 3 | "Blackwood" |
| | places | | | globalScore | 0.88 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 59 | | glossingSentenceCount | 1 | | matches | | 0 | "felt like a punch to the gut" |
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| 54.97% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.45 | | wordCount | 1379 | | matches | | 0 | "Not like an attack, not like a compliment, but like an observation stated as plainly as commenting on the w" | | 1 | "not like a compliment, but like an observation stated as plainly as commenting on the w" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 104 | | matches | | 0 | "nursing that whiskey" | | 1 | "convinced that he" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 59 | | mean | 23.37 | | std | 20.32 | | cv | 0.87 | | sampleLengths | | 0 | 9 | | 1 | 50 | | 2 | 3 | | 3 | 54 | | 4 | 14 | | 5 | 37 | | 6 | 66 | | 7 | 51 | | 8 | 3 | | 9 | 30 | | 10 | 29 | | 11 | 17 | | 12 | 65 | | 13 | 8 | | 14 | 15 | | 15 | 50 | | 16 | 9 | | 17 | 63 | | 18 | 74 | | 19 | 7 | | 20 | 1 | | 21 | 17 | | 22 | 57 | | 23 | 6 | | 24 | 20 | | 25 | 36 | | 26 | 10 | | 27 | 9 | | 28 | 58 | | 29 | 3 | | 30 | 2 | | 31 | 3 | | 32 | 59 | | 33 | 8 | | 34 | 12 | | 35 | 10 | | 36 | 42 | | 37 | 11 | | 38 | 9 | | 39 | 23 | | 40 | 10 | | 41 | 10 | | 42 | 36 | | 43 | 38 | | 44 | 4 | | 45 | 5 | | 46 | 27 | | 47 | 2 | | 48 | 4 | | 49 | 16 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 68 | | matches | | |
| 92.47% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 186 | | matches | | 0 | "was chasing" | | 1 | "were being" | | 2 | "was tasting" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 104 | | ratio | 0 | | matches | (empty) | |
| 83.05% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 702 | | adjectiveStacks | 1 | | stackExamples | | 0 | "distinctive silver-streaked auburn," |
| | adverbCount | 35 | | adverbRatio | 0.04985754985754986 | | lyAdverbCount | 16 | | lyAdverbRatio | 0.022792022792022793 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 104 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 104 | | mean | 13.26 | | std | 9.01 | | cv | 0.679 | | sampleLengths | | 0 | 9 | | 1 | 23 | | 2 | 7 | | 3 | 20 | | 4 | 3 | | 5 | 23 | | 6 | 25 | | 7 | 6 | | 8 | 12 | | 9 | 2 | | 10 | 19 | | 11 | 18 | | 12 | 7 | | 13 | 11 | | 14 | 28 | | 15 | 20 | | 16 | 17 | | 17 | 16 | | 18 | 18 | | 19 | 3 | | 20 | 16 | | 21 | 14 | | 22 | 3 | | 23 | 22 | | 24 | 4 | | 25 | 9 | | 26 | 8 | | 27 | 11 | | 28 | 22 | | 29 | 32 | | 30 | 5 | | 31 | 3 | | 32 | 11 | | 33 | 4 | | 34 | 12 | | 35 | 18 | | 36 | 20 | | 37 | 9 | | 38 | 41 | | 39 | 22 | | 40 | 7 | | 41 | 33 | | 42 | 34 | | 43 | 7 | | 44 | 1 | | 45 | 17 | | 46 | 6 | | 47 | 1 | | 48 | 8 | | 49 | 18 |
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| 82.05% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.5096153846153846 | | totalSentences | 104 | | uniqueOpeners | 53 | |
| 51.28% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 65 | | matches | | 0 | "Then she was gone, slipping" |
| | ratio | 0.015 | |
| 84.62% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 22 | | totalSentences | 65 | | matches | | 0 | "He'd been nursing that whiskey" | | 1 | "he said, nodding toward the" | | 2 | "They'd both changed, but in" | | 3 | "His hair had gone from" | | 4 | "Her eyes, the same bright" | | 5 | "She waved a dismissive hand" | | 6 | "He knew about delivery work," | | 7 | "She smiled then, small and" | | 8 | "He'd wondered about that when" | | 9 | "She'd chosen his building deliberately," | | 10 | "He gestured vaguely at the" | | 11 | "She remembered the Silas from" | | 12 | "They'd been friends because she'd" | | 13 | "she said finally" | | 14 | "His younger brother, who'd been" | | 15 | "It was true." | | 16 | "She'd grown up watching her" | | 17 | "They sat in comfortable silence" | | 18 | "Her chair scraped against the" | | 19 | "He stood up, moving carefully" |
| | ratio | 0.338 | |
| 36.92% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 55 | | totalSentences | 65 | | matches | | 0 | "The first thing she said" | | 1 | "Rory looked up from where" | | 2 | "The words landed differently than" | | 3 | "Silas set down his glass" | | 4 | "He'd been nursing that whiskey" | | 5 | "he said, nodding toward the" | | 6 | "Rory's fingers traced the rim" | | 7 | "Gin and tonic, the bartender's" | | 8 | "They'd both changed, but in" | | 9 | "Silas carried his years like" | | 10 | "His hair had gone from" | | 11 | "The slight limp he tried" | | 12 | "Rory looked younger than he" | | 13 | "Her eyes, the same bright" | | 14 | "Something that had learned to" | | 15 | "She waved a dismissive hand" | | 16 | "Silas nodded slowly." | | 17 | "He knew about delivery work," | | 18 | "She smiled then, small and" | | 19 | "He'd wondered about that when" |
| | ratio | 0.846 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 65 | | matches | | 0 | "Even now, sitting across from" | | 1 | "Now she carried exhaustion like" |
| | ratio | 0.031 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 40 | | technicalSentenceCount | 10 | | matches | | 0 | "Silas set down his glass with deliberate care, the amber liquid catching the low light from the green-shaded lamps that dotted the bar." | | 1 | "His hair had gone from dark brown to that distinctive silver-streaked auburn, and his face had settled into lines that spoke of laughter and worry in equal meas…" | | 2 | "Something that had learned to watch doors, to notice exits, to calculate distances between herself and potential threats." | | 3 | "He knew about delivery work, about jobs that kept you moving just fast enough to stay ahead of whatever was chasing you." | | 4 | "They'd been friends because she'd been the only person who could keep up with his schemes, who could see three moves ahead and still find room to appreciate the…" | | 5 | "Silas had spent so long believing that Mark had resented him, had always seen himself as the forgotten son, that hearing otherwise felt like a punch to the gut." | | 6 | "Now she carried exhaustion like a second skin, the kind that came from making too many decisions and trusting too few people." | | 7 | "They sat in comfortable silence for a moment, the kind that only existed between people who'd known each other long enough to understand the spaces between word…" | | 8 | "Then she was gone, slipping out into the London night with the same quiet efficiency that had always marked her exits." | | 9 | "Silas watched her go, wondering when exactly he'd stopped being the person she'd first come to for advice, and started being someone she needed to avoid." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 49 | | tagDensity | 0.122 | | leniency | 0.245 | | rawRatio | 0 | | effectiveRatio | 0 | |