| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 2 | | adverbTags | | 0 | "Silas said quietly [quietly]" | | 1 | "Silas said finally [finally]" |
| | dialogueSentences | 17 | | tagDensity | 0.471 | | leniency | 0.941 | | rawRatio | 0.25 | | effectiveRatio | 0.235 | |
| 79.76% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1235 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "suddenly" | | 1 | "slowly" | | 2 | "softly" | | 3 | "really" | | 4 | "gently" |
| |
| 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) | |
| 43.32% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1235 | | totalAiIsms | 14 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | word | "calloused fingers" | | count | 1 |
| | 9 | | | 10 | | | 11 | |
| | highlights | | 0 | "scanned" | | 1 | "traced" | | 2 | "profound" | | 3 | "fractured" | | 4 | "unspoken" | | 5 | "racing" | | 6 | "weight" | | 7 | "dancing" | | 8 | "calloused fingers" | | 9 | "silence" | | 10 | "etched" | | 11 | "solitary" |
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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 | 54 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 54 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 63 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 60 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1226 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 99.39% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 32 | | wordCount | 988 | | uniqueNames | 12 | | maxNameDensity | 1.01 | | worstName | "Silas" | | maxWindowNameDensity | 2 | | worstWindowName | "Silas" | | discoveredNames | | Soho | 2 | | Raven | 2 | | Nest | 2 | | Carter | 1 | | Golden | 1 | | Empress | 1 | | Cardiff | 1 | | Aurora | 8 | | Blackwood | 1 | | Prague | 2 | | Silas | 10 | | London | 1 |
| | persons | | 0 | "Raven" | | 1 | "Carter" | | 2 | "Aurora" | | 3 | "Blackwood" | | 4 | "Silas" |
| | places | | 0 | "Soho" | | 1 | "Golden" | | 2 | "Cardiff" | | 3 | "Prague" | | 4 | "London" |
| | globalScore | 0.994 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 45 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1226 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 63 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 24 | | mean | 51.08 | | std | 30.53 | | cv | 0.598 | | sampleLengths | | 0 | 79 | | 1 | 101 | | 2 | 21 | | 3 | 43 | | 4 | 6 | | 5 | 100 | | 6 | 16 | | 7 | 18 | | 8 | 73 | | 9 | 29 | | 10 | 20 | | 11 | 43 | | 12 | 62 | | 13 | 56 | | 14 | 76 | | 15 | 19 | | 16 | 92 | | 17 | 35 | | 18 | 40 | | 19 | 119 | | 20 | 24 | | 21 | 44 | | 22 | 48 | | 23 | 62 |
| |
| 92.27% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 54 | | matches | | 0 | "been buried" | | 1 | "being asked" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 150 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 1 | | flaggedSentences | 7 | | totalSentences | 63 | | ratio | 0.111 | | matches | | 0 | "With her left hand, she absentmindedly traced the small crescent-shaped scar on her wrist—a phantom souvenir from a childhood accident in Cardiff that still prickled whenever the damp set in." | | 1 | "But it was his eyes—hazel, sharp, and carrying the profound, heavy authority of a retired spymaster who had seen too much and forgotten nothing—that made Aurora’s breath hitch." | | 2 | "He walked slowly toward the bar, his hand—heavy with a silver signet ring that caught the amber light—resting briefly on the back of an empty booth before he slid onto a stool a few feet away from her." | | 3 | "The weight of time pressed down on them both—the unbridgeable chasm of their generation, the secrets Silas carried buried deep beneath his neat exterior, and the fierce, protective independence Aurora wore like armor to keep the world from breaking her twice." | | 4 | "She looked at him—really looked at him—and saw the faint lines etched around his eyes, the permanent toll of a botched operation in Prague that had robbed him of his stride and consigned him to the shadows of Soho." | | 5 | "He was no longer just the formidable spymaster who pulled strings from the back rooms of The Raven's Nest; he was an aging man marooned in his own regrets, watching another generation repeat the cycle of flight and fortification." | | 6 | "She picked up the glass, setting it down in front of him without being asked, and poured two fingers of amber whiskey—neat, no ice." |
| |
| 76.11% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1003 | | adjectiveStacks | 2 | | stackExamples | | 0 | "small crescent-shaped scar" | | 1 | "small, battered silver case," |
| | adverbCount | 50 | | adverbRatio | 0.049850448654037885 | | lyAdverbCount | 24 | | lyAdverbRatio | 0.023928215353938187 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 63 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 63 | | mean | 19.46 | | std | 12.45 | | cv | 0.64 | | sampleLengths | | 0 | 23 | | 1 | 24 | | 2 | 32 | | 3 | 28 | | 4 | 43 | | 5 | 30 | | 6 | 21 | | 7 | 5 | | 8 | 18 | | 9 | 20 | | 10 | 6 | | 11 | 18 | | 12 | 26 | | 13 | 28 | | 14 | 28 | | 15 | 4 | | 16 | 12 | | 17 | 18 | | 18 | 10 | | 19 | 24 | | 20 | 39 | | 21 | 5 | | 22 | 3 | | 23 | 21 | | 24 | 10 | | 25 | 10 | | 26 | 5 | | 27 | 38 | | 28 | 5 | | 29 | 16 | | 30 | 27 | | 31 | 14 | | 32 | 18 | | 33 | 11 | | 34 | 27 | | 35 | 7 | | 36 | 18 | | 37 | 7 | | 38 | 44 | | 39 | 2 | | 40 | 10 | | 41 | 7 | | 42 | 26 | | 43 | 7 | | 44 | 59 | | 45 | 20 | | 46 | 15 | | 47 | 12 | | 48 | 3 | | 49 | 25 |
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| 59.79% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.3968253968253968 | | totalSentences | 63 | | uniqueOpeners | 25 | |
| 62.89% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 53 | | matches | | 0 | "Instead, he reached out with" |
| | ratio | 0.019 | |
| 31.32% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 25 | | totalSentences | 53 | | matches | | 0 | "Her bright blue eyes scanned" | | 1 | "She finished drying the rim" | | 2 | "He was tall, perhaps six" | | 3 | "His hair, once a fiery" | | 4 | "His gaze locked onto hers" | | 5 | "he said, his voice a" | | 6 | "It had been years since" | | 7 | "She hadn't known him then." | | 8 | "she managed, her voice steadier" | | 9 | "He walked slowly toward the" | | 10 | "He unbuttoned his coat, the" | | 11 | "He looked around the room," | | 12 | "She crossed her arms, unconsciously" | | 13 | "He reached into his coat" | | 14 | "He just rolled it between" | | 15 | "Her bright blue eyes flashed" | | 16 | "He looked up, meeting her" | | 17 | "she snapped, the cool demeanor" | | 18 | "He simply rolled the unlit" | | 19 | "She looked at him—really looked" |
| | ratio | 0.472 | |
| 16.60% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 47 | | totalSentences | 53 | | matches | | 0 | "The neon sign above the" | | 1 | "Walls crowded with yellowed maps" | | 2 | "Aurora Carter stood behind the" | | 3 | "Her bright blue eyes scanned" | | 4 | "The bell above the door" | | 5 | "Aurora didn't look up immediately." | | 6 | "She finished drying the rim" | | 7 | "The words caught in her" | | 8 | "The man standing just inside" | | 9 | "He was tall, perhaps six" | | 10 | "His hair, once a fiery" | | 11 | "Silas Blackwood stopped dead." | | 12 | "His gaze locked onto hers" | | 13 | "he said, his voice a" | | 14 | "Aurora gripped the edge of" | | 15 | "The sharp-edged, out-of-the-box thinking that" | | 16 | "It had been years since" | | 17 | "She hadn't known him then." | | 18 | "she managed, her voice steadier" | | 19 | "Silas didn't answer right away." |
| | ratio | 0.887 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 53 | | matches | (empty) | | ratio | 0 | |
| 12.99% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 33 | | technicalSentenceCount | 6 | | matches | | 0 | "He was tall, perhaps six feet one, with a neat, trimmed beard framing a face that bore the unmistakable map of years spent in difficult rooms." | | 1 | "But it was his eyes—hazel, sharp, and carrying the profound, heavy authority of a retired spymaster who had seen too much and forgotten nothing—that made Aurora…" | | 2 | "It had been years since Prague, years since the network had fractured and Silas had vanished into the London fog to open a front that had eventually become her …" | | 3 | "She looked at him—really looked at him—and saw the faint lines etched around his eyes, the permanent toll of a botched operation in Prague that had robbed him o…" | | 4 | "He was no longer just the formidable spymaster who pulled strings from the back rooms of The Raven's Nest; he was an aging man marooned in his own regrets, watc…" | | 5 | "The defiance drained out of her, leaving behind a hollow ache that felt dangerously like grief." |
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| 62.50% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 1 | | matches | | 0 | "she managed, her voice steadier than her racing heart" |
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| 32.35% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 2 | | fancyTags | | 0 | "she snapped (snap)" | | 1 | "she murmured (murmur)" |
| | dialogueSentences | 17 | | tagDensity | 0.412 | | leniency | 0.824 | | rawRatio | 0.286 | | effectiveRatio | 0.235 | |