| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 31 | | adverbTagCount | 2 | | adverbTags | | 0 | "She stepped back [back]" | | 1 | "Rory said finally [finally]" |
| | dialogueSentences | 57 | | tagDensity | 0.544 | | leniency | 1 | | rawRatio | 0.065 | | effectiveRatio | 0.065 | |
| 82.83% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1165 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "suddenly" | | 1 | "carefully" | | 2 | "really" |
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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) | |
| 31.33% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1165 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "flickered" | | 1 | "scanned" | | 2 | "flicker" | | 3 | "unreadable" | | 4 | "charged" | | 5 | "pulsed" | | 6 | "reminder" | | 7 | "whisper" | | 8 | "depths" | | 9 | "silence" | | 10 | "eyebrow" | | 11 | "unspoken" | | 12 | "weight" | | 13 | "pang" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "flicker of emotion" | | count | 1 |
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| | highlights | | 0 | "A flicker of recognition" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 100 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 3 | | narrationSentences | 100 | | filterMatches | (empty) | | hedgeMatches | | 0 | "tried to" | | 1 | "managed to" | | 2 | "tended to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 125 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 25 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1158 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 64.63% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 38 | | wordCount | 820 | | uniqueNames | 8 | | maxNameDensity | 1.71 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rory" | | discoveredNames | | Raven | 2 | | Nest | 2 | | Soho | 1 | | Tuesday | 1 | | Rory | 14 | | Managed | 1 | | Silas | 9 | | Evan | 8 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Rory" | | 3 | "Silas" | | 4 | "Evan" |
| | places | | | globalScore | 0.646 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 72 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1158 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 125 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 55 | | mean | 21.05 | | std | 12.56 | | cv | 0.596 | | sampleLengths | | 0 | 49 | | 1 | 40 | | 2 | 9 | | 3 | 25 | | 4 | 30 | | 5 | 7 | | 6 | 24 | | 7 | 41 | | 8 | 1 | | 9 | 55 | | 10 | 22 | | 11 | 39 | | 12 | 18 | | 13 | 20 | | 14 | 2 | | 15 | 18 | | 16 | 10 | | 17 | 18 | | 18 | 9 | | 19 | 19 | | 20 | 34 | | 21 | 20 | | 22 | 27 | | 23 | 11 | | 24 | 45 | | 25 | 23 | | 26 | 33 | | 27 | 2 | | 28 | 17 | | 29 | 16 | | 30 | 22 | | 31 | 12 | | 32 | 3 | | 33 | 27 | | 34 | 18 | | 35 | 32 | | 36 | 17 | | 37 | 15 | | 38 | 10 | | 39 | 40 | | 40 | 9 | | 41 | 14 | | 42 | 16 | | 43 | 20 | | 44 | 19 | | 45 | 12 | | 46 | 14 | | 47 | 19 | | 48 | 12 | | 49 | 21 |
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| 94.74% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 100 | | matches | | 0 | "got ruined" | | 1 | "was gone" | | 2 | "been left" |
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| 65.77% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 149 | | matches | | 0 | "wasn't weathering" | | 1 | "was testing" | | 2 | "was losing" |
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| 51.43% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 1 | | flaggedSentences | 4 | | totalSentences | 125 | | ratio | 0.032 | | matches | | 0 | "This wasn't weathering; it was…" | | 1 | "Managed to meet his stare—a small victory." | | 2 | "She saw a ghost of the man she’d once known—the one who’d written poetry on napkins and dreamt of changing the world." | | 3 | "She felt a pang of something—not sympathy, not exactly." |
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| 95.08% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 472 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 21 | | adverbRatio | 0.04449152542372881 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.0211864406779661 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 125 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 125 | | mean | 9.26 | | std | 5.23 | | cv | 0.565 | | sampleLengths | | 0 | 12 | | 1 | 12 | | 2 | 16 | | 3 | 9 | | 4 | 16 | | 5 | 8 | | 6 | 16 | | 7 | 9 | | 8 | 15 | | 9 | 10 | | 10 | 18 | | 11 | 12 | | 12 | 7 | | 13 | 24 | | 14 | 6 | | 15 | 14 | | 16 | 1 | | 17 | 2 | | 18 | 5 | | 19 | 2 | | 20 | 1 | | 21 | 10 | | 22 | 1 | | 23 | 4 | | 24 | 8 | | 25 | 5 | | 26 | 1 | | 27 | 7 | | 28 | 12 | | 29 | 10 | | 30 | 8 | | 31 | 12 | | 32 | 10 | | 33 | 9 | | 34 | 18 | | 35 | 12 | | 36 | 11 | | 37 | 7 | | 38 | 16 | | 39 | 4 | | 40 | 2 | | 41 | 12 | | 42 | 6 | | 43 | 10 | | 44 | 15 | | 45 | 3 | | 46 | 9 | | 47 | 12 | | 48 | 7 | | 49 | 11 |
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| 68.27% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.448 | | totalSentences | 125 | | uniqueOpeners | 56 | |
| 37.45% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 89 | | matches | | 0 | "Then it was gone, replaced" |
| | ratio | 0.011 | |
| 44.72% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 39 | | totalSentences | 89 | | matches | | 0 | "He finally glanced up, his" | | 1 | "She hadn’t seen him in…" | | 2 | "He hadn’t aged well." | | 3 | "He scanned the room, and" | | 4 | "he said, his voice gravelly" | | 5 | "He moved toward the bar," | | 6 | "It was a comfort, a" | | 7 | "He said her name like" | | 8 | "He perched on a stool" | | 9 | "She folded her arms, knuckles" | | 10 | "He turned to Silas, a" | | 11 | "He didn’t offer Evan a" | | 12 | "He simply continued polishing a" | | 13 | "She glanced at Silas, but" | | 14 | "she asked, the question carefully" | | 15 | "He paused, and for a" | | 16 | "She saw a ghost of" | | 17 | "It scalded her tongue, but" | | 18 | "He finally looked directly at" | | 19 | "She forced herself to meet" |
| | ratio | 0.438 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 82 | | totalSentences | 89 | | matches | | 0 | "The green neon of The" | | 1 | "Rain lashed sideways, turning Soho" | | 2 | "Rory wrestled a stack of" | | 3 | "Yu-Fei would have her hide" | | 4 | "Silas polished glasses behind the" | | 5 | "The bar was mostly empty" | | 6 | "A couple huddled in a" | | 7 | "Silas observed, not looking up" | | 8 | "Rory dumped the menus on" | | 9 | "He finally glanced up, his" | | 10 | "Rory followed his line of" | | 11 | "A man stood just inside" | | 12 | "She hadn’t seen him in…" | | 13 | "The years blurred when you" | | 14 | "He hadn’t aged well." | | 15 | "This wasn't weathering; it was…" | | 16 | "The jawline she remembered was" | | 17 | "The easy confidence in his" | | 18 | "He scanned the room, and" | | 19 | "A flicker of recognition, followed" |
| | ratio | 0.921 | |
| 56.18% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 89 | | matches | | 0 | "As if, perhaps, a small" |
| | ratio | 0.011 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 26 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 28.23% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 31 | | uselessAdditionCount | 6 | | matches | | 0 | "Silas observed, not looking up" | | 1 | "he said, his voice gravelly" | | 2 | "she asked, the question carefully devoid of emotion" | | 3 | "Evan asked, his voice surprisingly soft" | | 4 | "Evan leaned, his voice a low growl" | | 5 | "Rory stood up, her chair scraping against the floor" |
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| 97.37% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 3 | | fancyTags | | 0 | "Silas observed (observe)" | | 1 | "He laughed (laugh)" | | 2 | "She breathed (breathe)" |
| | dialogueSentences | 57 | | tagDensity | 0.158 | | leniency | 0.316 | | rawRatio | 0.333 | | effectiveRatio | 0.105 | |