| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 2 | | adverbTags | | 0 | "he said finally [finally]" | | 1 | "It sounded too [too]" |
| | dialogueSentences | 13 | | tagDensity | 0.692 | | leniency | 1 | | rawRatio | 0.222 | | effectiveRatio | 0.222 | |
| 72.53% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 728 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "lazily" | | 1 | "softly" | | 2 | "suddenly" | | 3 | "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) | |
| 45.05% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 728 | | totalAiIsms | 8 | | found | | | highlights | | 0 | "familiar" | | 1 | "weight" | | 2 | "etched" | | 3 | "footsteps" | | 4 | "amidst" | | 5 | "fleeting" | | 6 | "unspoken" | | 7 | "silence" |
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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 | 38 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 38 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 42 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 43 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 727 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 71.14% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 20 | | wordCount | 634 | | uniqueNames | 8 | | maxNameDensity | 1.58 | | worstName | "Silas" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Silas" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Canadian | 1 | | Silas | 10 | | Aurora | 2 | | Natalia | 3 | | Shaker | 1 | | Suddenly | 1 |
| | persons | | 0 | "Raven" | | 1 | "Silas" | | 2 | "Aurora" | | 3 | "Natalia" |
| | places | (empty) | | globalScore | 0.711 | | windowScore | 0.833 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 33 | | glossingSentenceCount | 3 | | matches | | 0 | "as if studying an insect— something unintriguing, mundane, and fleeting" | | 1 | "felt like a knife, an accusation" | | 2 | "quite a leave, but he breathed a little easier" |
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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 | 727 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 42 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 26 | | mean | 27.96 | | std | 15.07 | | cv | 0.539 | | sampleLengths | | 0 | 62 | | 1 | 67 | | 2 | 3 | | 3 | 19 | | 4 | 30 | | 5 | 20 | | 6 | 47 | | 7 | 22 | | 8 | 54 | | 9 | 21 | | 10 | 24 | | 11 | 33 | | 12 | 37 | | 13 | 14 | | 14 | 24 | | 15 | 30 | | 16 | 15 | | 17 | 23 | | 18 | 33 | | 19 | 33 | | 20 | 13 | | 21 | 9 | | 22 | 25 | | 23 | 16 | | 24 | 28 | | 25 | 25 |
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| 86.80% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 38 | | matches | | 0 | "been etched" | | 1 | "been called" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 106 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 42 | | ratio | 0.095 | | matches | | 0 | "The Raven's Nest was a familiar haven, a Canadian breakfast skyline lit up the black-and-white photos and faded maps that covered the space's brick walls— but those walls felt different now, much like the man at the end of the bar." | | 1 | "Sitting hunched over his glass, his eyes downcast and reeling, was the man she had known for over a decade, a mentor and carefree force in her life— Silas." | | 2 | "Silas blinked, his eyes focusing on the red-headed bartender before drifting lazily to the side and down to the stranger next to him as if studying an insect— something unintriguing, mundane, and fleeting." | | 3 | "Of course anyone who passed Natalia's way—she searched his face, Shaker." |
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| 89.69% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 640 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 32 | | adverbRatio | 0.05 | | lyAdverbCount | 14 | | lyAdverbRatio | 0.021875 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 42 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 42 | | mean | 17.31 | | std | 10.32 | | cv | 0.596 | | sampleLengths | | 0 | 21 | | 1 | 41 | | 2 | 29 | | 3 | 38 | | 4 | 3 | | 5 | 12 | | 6 | 7 | | 7 | 30 | | 8 | 20 | | 9 | 33 | | 10 | 14 | | 11 | 16 | | 12 | 6 | | 13 | 28 | | 14 | 17 | | 15 | 9 | | 16 | 16 | | 17 | 5 | | 18 | 13 | | 19 | 11 | | 20 | 29 | | 21 | 4 | | 22 | 29 | | 23 | 8 | | 24 | 14 | | 25 | 17 | | 26 | 7 | | 27 | 11 | | 28 | 19 | | 29 | 4 | | 30 | 4 | | 31 | 7 | | 32 | 10 | | 33 | 13 | | 34 | 33 | | 35 | 33 | | 36 | 13 | | 37 | 9 | | 38 | 25 | | 39 | 16 | | 40 | 28 | | 41 | 25 |
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| 100.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 0 | | diversityRatio | 0.6666666666666666 | | totalSentences | 42 | | uniqueOpeners | 28 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 37 | | matches | | 0 | "Finally, his eyes found her" | | 1 | "Of course anyone who passed" | | 2 | "Suddenly a soft laugh from" |
| | ratio | 0.081 | |
| 79.46% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 13 | | totalSentences | 37 | | matches | | 0 | "He didn't look up, not" | | 1 | "He said, not nearly as" | | 2 | "She swallowed back any immediate" | | 3 | "It had been her name," | | 4 | "She looked at her watch," | | 5 | "She muttered, glancing at the" | | 6 | "He had been called that" | | 7 | "he said finally, softly" | | 8 | "She said, voice sober and" | | 9 | "It sounded too much like" | | 10 | "He sloshed his drink down" | | 11 | "He slumped off in the" | | 12 | "She watched as he went," |
| | ratio | 0.351 | |
| 95.14% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 27 | | totalSentences | 37 | | matches | | 0 | "Aurora paused mid-step, her grip" | | 1 | "The Raven's Nest was a" | | 2 | "Sitting hunched over his glass," | | 3 | "The weight of years had" | | 4 | "A barmaid slid an amber" | | 5 | "Silas nodded in return, taking" | | 6 | "He didn't look up, not" | | 7 | "Silas blinked, his eyes focusing" | | 8 | "He said, not nearly as" | | 9 | "She swallowed back any immediate" | | 10 | "It had been her name," | | 11 | "Something eased off him, it" | | 12 | "Aurora put one hand on" | | 13 | "She looked at her watch," | | 14 | "She muttered, glancing at the" | | 15 | "A subtle head tilt acknowledging" | | 16 | "Silas slurred into his glass," | | 17 | "The bartender inclined his head" | | 18 | "He had been called that" | | 19 | "Silas shook his head." |
| | ratio | 0.73 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 37 | | matches | (empty) | | ratio | 0 | |
| 6.80% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 21 | | technicalSentenceCount | 4 | | matches | | 0 | "The Raven's Nest was a familiar haven, a Canadian breakfast skyline lit up the black-and-white photos and faded maps that covered the space's brick walls— but t…" | | 1 | "Silas blinked, his eyes focusing on the red-headed bartender before drifting lazily to the side and down to the stranger next to him as if studying an insect— s…" | | 2 | "Of course anyone who passed Natalia's way—she searched his face, Shaker." | | 3 | "He slumped off in the direction of the door, leaving Natalia with a s-shaped hold on her heart, wondering if she would see him again, if anyone would-" |
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| 13.89% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 2 | | matches | | 0 | "He said, not nearly as heartfelt as she might have expected" | | 1 | "he said finally, softly," |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 3 | | fancyTags | | 0 | "Silas murmured (murmur)" | | 1 | "She muttered (mutter)" | | 2 | "Silas slurred (slur)" |
| | dialogueSentences | 13 | | tagDensity | 0.538 | | leniency | 1 | | rawRatio | 0.429 | | effectiveRatio | 0.429 | |