| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 20 | | adverbTagCount | 2 | | adverbTags | | 0 | "she corrected gently [gently]" | | 1 | "He gestured vaguely [vaguely]" |
| | dialogueSentences | 43 | | tagDensity | 0.465 | | leniency | 0.93 | | rawRatio | 0.1 | | effectiveRatio | 0.093 | |
| 81.88% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1656 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "slowly" | | 1 | "gently" | | 2 | "really" | | 3 | "nervously" | | 4 | "perfectly" | | 5 | "truly" |
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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) | |
| 48.67% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1656 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "methodical" | | 1 | "sentinel" | | 2 | "stark" | | 3 | "weight" | | 4 | "tension" | | 5 | "traced" | | 6 | "silence" | | 7 | "pang" | | 8 | "familiar" | | 9 | "predator" | | 10 | "footsteps" | | 11 | "comfortable" | | 12 | "reminder" |
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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 | 1 | | narrationSentences | 89 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 89 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 112 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 42 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1648 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 21 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 60 | | wordCount | 1119 | | uniqueNames | 18 | | maxNameDensity | 1.61 | | worstName | "Rory" | | maxWindowNameDensity | 3 | | worstWindowName | "Rory" | | discoveredNames | | Raven | 1 | | Nest | 2 | | Rory | 18 | | Tuesday | 1 | | Soho | 2 | | London | 3 | | Golden | 1 | | Empress | 1 | | Silas | 10 | | Prague | 1 | | Cold | 1 | | War | 1 | | Yu-Fei | 1 | | Cardiff | 1 | | Caleb | 13 | | Istanbul | 1 | | Sunday | 1 | | Knowing | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Rory" | | 3 | "Empress" | | 4 | "Silas" | | 5 | "Yu-Fei" | | 6 | "Caleb" |
| | places | | 0 | "Soho" | | 1 | "London" | | 2 | "Prague" | | 3 | "Cold" | | 4 | "Cardiff" | | 5 | "Istanbul" |
| | globalScore | 0.696 | | windowScore | 0.667 | |
| 74.24% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 66 | | glossingSentenceCount | 2 | | matches | | 0 | "sounded like rain on a slate roof and the" | | 1 | "tasted like copper" |
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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 | 1648 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 112 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 46 | | mean | 35.83 | | std | 20.02 | | cv | 0.559 | | sampleLengths | | 0 | 70 | | 1 | 81 | | 2 | 14 | | 3 | 25 | | 4 | 76 | | 5 | 57 | | 6 | 18 | | 7 | 1 | | 8 | 51 | | 9 | 66 | | 10 | 14 | | 11 | 44 | | 12 | 9 | | 13 | 41 | | 14 | 13 | | 15 | 10 | | 16 | 62 | | 17 | 38 | | 18 | 43 | | 19 | 44 | | 20 | 31 | | 21 | 48 | | 22 | 16 | | 23 | 41 | | 24 | 11 | | 25 | 26 | | 26 | 46 | | 27 | 56 | | 28 | 50 | | 29 | 45 | | 30 | 18 | | 31 | 42 | | 32 | 41 | | 33 | 20 | | 34 | 21 | | 35 | 44 | | 36 | 20 | | 37 | 34 | | 38 | 39 | | 39 | 9 | | 40 | 34 | | 41 | 35 | | 42 | 5 | | 43 | 31 | | 44 | 32 | | 45 | 76 |
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| 93.44% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 89 | | matches | | 0 | "was filled" | | 1 | "was supposed" | | 2 | "being hunted" |
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| 63.95% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 196 | | matches | | 0 | "was polishing" | | 1 | "was carrying" | | 2 | "were constantly checking" | | 3 | "was crying" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 112 | | ratio | 0.063 | | matches | | 0 | "Rory adjusted the strap of her delivery bag—empty now, smelling faintly of the Golden Empress’s star anise and fried garlic—and stepped inside." | | 1 | "Silas moved to the taps, his left leg dragging just a fraction of an inch—a ghost of Prague that never quite left him." | | 2 | "She caught movement in the peripheral of her vision—a man sitting three stools down who had been staring at his own reflection in a puddle of spilled stout." | | 3 | "He looked her over—her shoulder-length black hair, her practical boots, the faint scent of takeout that clung to her jacket." | | 4 | "Rory looked at him—really looked at him." | | 5 | "Her face was the same, but the eyes were different—sharper, less searching." | | 6 | "He didn't ask her why she was crying, mostly because she wasn't—not on the outside." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 924 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 25 | | adverbRatio | 0.027056277056277056 | | lyAdverbCount | 13 | | lyAdverbRatio | 0.01406926406926407 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 112 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 112 | | mean | 14.71 | | std | 9.41 | | cv | 0.64 | | sampleLengths | | 0 | 19 | | 1 | 29 | | 2 | 22 | | 3 | 11 | | 4 | 17 | | 5 | 18 | | 6 | 18 | | 7 | 17 | | 8 | 14 | | 9 | 25 | | 10 | 23 | | 11 | 9 | | 12 | 7 | | 13 | 37 | | 14 | 9 | | 15 | 20 | | 16 | 28 | | 17 | 18 | | 18 | 1 | | 19 | 9 | | 20 | 19 | | 21 | 4 | | 22 | 19 | | 23 | 3 | | 24 | 17 | | 25 | 19 | | 26 | 27 | | 27 | 3 | | 28 | 11 | | 29 | 5 | | 30 | 20 | | 31 | 19 | | 32 | 4 | | 33 | 5 | | 34 | 23 | | 35 | 18 | | 36 | 10 | | 37 | 3 | | 38 | 10 | | 39 | 20 | | 40 | 42 | | 41 | 15 | | 42 | 23 | | 43 | 5 | | 44 | 6 | | 45 | 32 | | 46 | 12 | | 47 | 20 | | 48 | 7 | | 49 | 5 |
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| 33.93% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 18 | | diversityRatio | 0.25892857142857145 | | totalSentences | 112 | | uniqueOpeners | 29 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 81 | | matches | (empty) | | ratio | 0 | |
| 32.35% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 38 | | totalSentences | 81 | | matches | | 0 | "It was a Tuesday, the" | | 1 | "He didn’t look up immediately," | | 2 | "He was polishing a highball" | | 3 | "she said, sliding onto a" | | 4 | "He didn’t pity his limp," | | 5 | "She watched his hands, steady" | | 6 | "He was the most constant" | | 7 | "He placed a cold pint" | | 8 | "She caught movement in the" | | 9 | "He looked up when she" | | 10 | "It didn’t sound like the" | | 11 | "It sounded like Cardiff." | | 12 | "It sounded like rain on" | | 13 | "His hair was cut in" | | 14 | "His face was leaner, the" | | 15 | "He looked her over—her shoulder-length" | | 16 | "she corrected gently" | | 17 | "He gestured vaguely at her," | | 18 | "He looked down at his" | | 19 | "She felt the phantom prickle" |
| | ratio | 0.469 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 77 | | totalSentences | 81 | | matches | | 0 | "The green neon sign of" | | 1 | "It was a Tuesday, the" | | 2 | "Rory adjusted the strap of" | | 3 | "The bar was a cavern" | | 4 | "Silas was behind the mahogany," | | 5 | "He didn’t look up immediately," | | 6 | "He was polishing a highball" | | 7 | "The silver signet ring on" | | 8 | "Silas asked, his voice a" | | 9 | "she said, sliding onto a" | | 10 | "Silas moved to the taps," | | 11 | "He didn’t pity his limp," | | 12 | "She watched his hands, steady" | | 13 | "He was the most constant" | | 14 | "He placed a cold pint" | | 15 | "Rory reached for it, her" | | 16 | "She caught movement in the" | | 17 | "He looked up when she" | | 18 | "The name didn’t sound like" | | 19 | "It didn’t sound like the" |
| | ratio | 0.951 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 81 | | matches | (empty) | | ratio | 0 | |
| 15.87% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 45 | | technicalSentenceCount | 8 | | matches | | 0 | "He was polishing a highball glass with the methodical precision of a man who used to service firearms." | | 1 | "He was the most constant thing in her life lately, a quiet sentinel who asked no questions about the black-and-white photographs of forgotten sailors or the map…" | | 2 | "The man was in his mid-twenties, wearing a charcoal wool coat that looked expensive but lacked character." | | 3 | "His face was leaner, the boyish softness of his jaw gone, replaced by the hard, weary lines of someone who spent their life under fluorescent office lights." | | 4 | "He looked her over—her shoulder-length black hair, her practical boots, the faint scent of takeout that clung to her jacket." | | 5 | "She saw the expensive watch, the manicured nails, and the way his eyes darted nervously, as if he were constantly checking a mental schedule." | | 6 | "He looked around the bar one last time, his gaze lingering on Silas, who was now leaning against the back counter, arms crossed, watching them with the detached…" | | 7 | "He reached out as if to touch her hand, then saw the way she didn't move, the way she remained perfectly still and contained within her own orbit." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 20 | | uselessAdditionCount | 7 | | matches | | 0 | "Silas asked, his voice a gravelly baritone that anchored the room" | | 1 | "Rory said, her voice dropping to a cool, flat register" | | 2 | "Rory said, though the lie tasted like copper" | | 3 | "Caleb said, his voice rising with a sudden, sharp frustration" | | 4 | "Rory admitted, her voice softening" | | 5 | "he said, his voice thick" | | 6 | "Caleb asked, a ghost of a smile touching his lips" |
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| 80.23% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 19 | | fancyCount | 3 | | fancyTags | | 0 | "she corrected gently (correct)" | | 1 | "Caleb repeated (repeat)" | | 2 | "Rory admitted (admit)" |
| | dialogueSentences | 43 | | tagDensity | 0.442 | | leniency | 0.884 | | rawRatio | 0.158 | | effectiveRatio | 0.14 | |