| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 17 | | adverbTagCount | 2 | | adverbTags | | 0 | "he said coolly [coolly]" | | 1 | "he said softly [softly]" |
| | dialogueSentences | 45 | | tagDensity | 0.378 | | leniency | 0.756 | | rawRatio | 0.118 | | effectiveRatio | 0.089 | |
| 80.27% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1267 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "lightly" | | 1 | "sharply" | | 2 | "coolly" | | 3 | "slowly" | | 4 | "softly" |
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| 100.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 64.48% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1267 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "warmth" | | 1 | "sanctuary" | | 2 | "silence" | | 3 | "pulse" | | 4 | "tracing" | | 5 | "traced" | | 6 | "tension" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "air was thick with" | | count | 1 |
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| | highlights | | 0 | "the air was thick with" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 95 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 95 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 123 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 46 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 7 | | markdownWords | 20 | | totalWords | 1255 | | ratio | 0.016 | | matches | | 0 | "Meeting at the Archive. Back by ten. Don’t let Ptolemy near the wards again." | | 1 | "I’m" | | 2 | "Here." | | 3 | "targeted" | | 4 | "I" | | 5 | "are" | | 6 | "your" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 23 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 21 | | wordCount | 853 | | uniqueNames | 10 | | maxNameDensity | 0.47 | | worstName | "Eva" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Eva" | | discoveredNames | | East | 1 | | London | 1 | | Eva | 4 | | Ptolemy | 4 | | Archive | 1 | | Moreau | 1 | | Evan | 1 | | Rory | 4 | | Despite | 1 | | Lucien | 3 |
| | persons | | 0 | "Eva" | | 1 | "Ptolemy" | | 2 | "Moreau" | | 3 | "Evan" | | 4 | "Rory" | | 5 | "Lucien" |
| | places | | 0 | "East" | | 1 | "London" | | 2 | "Archive" |
| | globalScore | 1 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 47 | | glossingSentenceCount | 3 | | matches | | 0 | "felt like sanctuary" | | 1 | "something between longing and restraint" | | 2 | "felt like it wasn’t falling apart" |
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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 | 1255 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 123 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 59 | | mean | 21.27 | | std | 18.54 | | cv | 0.872 | | sampleLengths | | 0 | 64 | | 1 | 72 | | 2 | 51 | | 3 | 6 | | 4 | 22 | | 5 | 26 | | 6 | 2 | | 7 | 76 | | 8 | 2 | | 9 | 43 | | 10 | 11 | | 11 | 19 | | 12 | 7 | | 13 | 26 | | 14 | 20 | | 15 | 29 | | 16 | 5 | | 17 | 7 | | 18 | 12 | | 19 | 41 | | 20 | 61 | | 21 | 5 | | 22 | 4 | | 23 | 24 | | 24 | 3 | | 25 | 44 | | 26 | 7 | | 27 | 3 | | 28 | 16 | | 29 | 12 | | 30 | 18 | | 31 | 8 | | 32 | 42 | | 33 | 4 | | 34 | 20 | | 35 | 7 | | 36 | 12 | | 37 | 8 | | 38 | 49 | | 39 | 13 | | 40 | 12 | | 41 | 13 | | 42 | 3 | | 43 | 32 | | 44 | 47 | | 45 | 5 | | 46 | 46 | | 47 | 20 | | 48 | 6 | | 49 | 25 |
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| 97.88% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 95 | | matches | | 0 | "was pulled" | | 1 | "was turned" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 146 | | matches | | 0 | "was standing" | | 1 | "wasn’t falling" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 11 | | semicolonCount | 0 | | flaggedSentences | 10 | | totalSentences | 123 | | ratio | 0.081 | | matches | | 0 | "The flat was a mess—papers spilling from shelves, chalk symbols half-erased from the floorboards, a half-assembled sigil diagram pinned to the wall above the sofa—but it felt like sanctuary." | | 1 | "Eva was always punctual—never late, never knocking on her own door." | | 2 | "His face was half in shadow, but even so, she knew those eyes—one molten amber, the other deep void black." | | 3 | "But something in his expression softened—the faintest crease at the corner of his amber eye, a subtle tilt of his head." | | 4 | "But the truth was, it had split open the night she’d fled Evan—her knife had slipped." | | 5 | "His cane tapped once against the floor—deliberate, ceremonial." | | 6 | "He reached into his inner coat pocket and drew out a small, tarnished locket—the kind with a tiny hinge." | | 7 | "Just the heat of him, the faint scent of bergamot and something darker—brimstone, maybe, or old magic." | | 8 | "His fingertips brushed the crescent on her wrist—so light, so careful it made her shiver." | | 9 | "She looked up, caught in his gaze—the amber eye warm as embers, the black one depthless as a starless sky." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 476 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 10 | | adverbRatio | 0.02100840336134454 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.004201680672268907 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 123 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 123 | | mean | 10.2 | | std | 9.1 | | cv | 0.892 | | sampleLengths | | 0 | 29 | | 1 | 35 | | 2 | 16 | | 3 | 46 | | 4 | 3 | | 5 | 7 | | 6 | 6 | | 7 | 29 | | 8 | 10 | | 9 | 5 | | 10 | 1 | | 11 | 6 | | 12 | 2 | | 13 | 11 | | 14 | 9 | | 15 | 8 | | 16 | 2 | | 17 | 10 | | 18 | 6 | | 19 | 2 | | 20 | 27 | | 21 | 29 | | 22 | 20 | | 23 | 2 | | 24 | 3 | | 25 | 3 | | 26 | 2 | | 27 | 2 | | 28 | 33 | | 29 | 2 | | 30 | 2 | | 31 | 7 | | 32 | 19 | | 33 | 5 | | 34 | 2 | | 35 | 3 | | 36 | 21 | | 37 | 2 | | 38 | 10 | | 39 | 6 | | 40 | 4 | | 41 | 19 | | 42 | 4 | | 43 | 6 | | 44 | 5 | | 45 | 3 | | 46 | 4 | | 47 | 3 | | 48 | 9 | | 49 | 5 |
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| 62.33% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.3983739837398374 | | totalSentences | 123 | | uniqueOpeners | 49 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 75 | | matches | | 0 | "Then back to her." | | 1 | "Just stood there, water beading" | | 2 | "Just the heat of him," | | 3 | "Just a twitch at the" |
| | ratio | 0.053 | |
| 22.67% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 37 | | totalSentences | 75 | | matches | | 0 | "Her black hair was pulled" | | 1 | "She sighed, setting the tea" | | 2 | "She moved quietly, padding across" | | 3 | "She slid each one with" | | 4 | "She peered through the fisheye" | | 5 | "His face was half in" | | 6 | "Her breath caught." | | 7 | "She didn’t move." | | 8 | "She hesitated, then turned the" | | 9 | "she said, voice flat" | | 10 | "He didn’t smile." | | 11 | "she snapped, then immediately regretted" | | 12 | "Her fingers tightened on the" | | 13 | "He glanced past her, taking" | | 14 | "She exhaled sharply." | | 15 | "he asked, quiet" | | 16 | "Her pulse jumped." | | 17 | "She looked down, tracing the" | | 18 | "She stepped back." | | 19 | "He entered without a word," |
| | ratio | 0.493 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 53 | | totalSentences | 75 | | matches | | 0 | "The rain had been falling" | | 1 | "Rory stood barefoot in the" | | 2 | "Her black hair was pulled" | | 3 | "She sighed, setting the tea" | | 4 | "The flat was a mess—papers" | | 5 | "Here, the chaos was intentional." | | 6 | "A knock came at the" | | 7 | "Eva was always punctual—never late," | | 8 | "She moved quietly, padding across" | | 9 | "She slid each one with" | | 10 | "She peered through the fisheye" | | 11 | "The high collar of his" | | 12 | "His face was half in" | | 13 | "Her breath caught." | | 14 | "She didn’t move." | | 15 | "She hesitated, then turned the" | | 16 | "she said, voice flat" | | 17 | "He didn’t smile." | | 18 | "she snapped, then immediately regretted" | | 19 | "Her fingers tightened on the" |
| | ratio | 0.707 | |
| 66.67% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 75 | | matches | | 0 | "Now, he was standing on" |
| | ratio | 0.013 | |
| 66.33% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 28 | | technicalSentenceCount | 3 | | matches | | 0 | "The rain had been falling since dusk, a relentless East London drizzle that slicked the brick alleys and sent steam curling from the curry house’s vents beneath…" | | 1 | "Inside, the air was thick with the scent of turmeric, old paper, and the faintly musky warmth of Ptolemy, who was currently sprawled across a stack of dog-eared…" | | 2 | "Lucien had stitched it himself with silver thread and a whispered incantation that left the skin cool to the touch." |
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| 66.18% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 17 | | uselessAdditionCount | 2 | | matches | | 0 | "she said, voice flat" | | 1 | "he asked, quiet" |
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| 38.89% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 16 | | fancyCount | 5 | | fancyTags | | 0 | "she snapped (snap)" | | 1 | "he admitted (admit)" | | 2 | "she whispered (whisper)" | | 3 | "he murmured (murmur)" | | 4 | "she breathed (breathe)" |
| | dialogueSentences | 45 | | tagDensity | 0.356 | | leniency | 0.711 | | rawRatio | 0.313 | | effectiveRatio | 0.222 | |