| 50.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 3 | | adverbTags | | 0 | "She gestured sharply [sharply]" | | 1 | "black eye darkened almost [almost]" | | 2 | "He gestured vaguely [vaguely]" |
| | dialogueSentences | 40 | | tagDensity | 0.35 | | leniency | 0.7 | | rawRatio | 0.214 | | effectiveRatio | 0.15 | |
| 86.49% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1110 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "sharply" | | 1 | "really" | | 2 | "gently" |
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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) | |
| 0.90% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1110 | | totalAiIsms | 22 | | found | | | highlights | | 0 | "pulse" | | 1 | "unreadable" | | 2 | "calculating" | | 3 | "jaw clenched" | | 4 | "silence" | | 5 | "dancing" | | 6 | "churned" | | 7 | "flickered" | | 8 | "familiar" | | 9 | "tension" | | 10 | "shimmered" | | 11 | "etched" | | 12 | "charged" | | 13 | "flicked" | | 14 | "desire" | | 15 | "whisper" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "jaw/fists clenched" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 69 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 69 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 94 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 34 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1095 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 81.13% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 23 | | wordCount | 726 | | uniqueNames | 6 | | maxNameDensity | 1.38 | | worstName | "Aurora" | | maxWindowNameDensity | 2 | | worstWindowName | "Aurora" | | discoveredNames | | Moreau | 1 | | Aurora | 10 | | Ptolemy | 3 | | Silence | 1 | | Lucien | 7 | | Cold | 1 |
| | persons | | 0 | "Moreau" | | 1 | "Aurora" | | 2 | "Ptolemy" | | 3 | "Lucien" |
| | places | (empty) | | globalScore | 0.811 | | windowScore | 1 | |
| 22.88% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 59 | | glossingSentenceCount | 3 | | matches | | 0 | "as if remembering all it had endured" | | 1 | "as if weighing the cat’s judgment too" | | 2 | "felt like betrayals; the fierce grip of" |
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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 | 1095 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 94 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 46 | | mean | 23.8 | | std | 14.69 | | cv | 0.617 | | sampleLengths | | 0 | 9 | | 1 | 39 | | 2 | 73 | | 3 | 15 | | 4 | 5 | | 5 | 26 | | 6 | 38 | | 7 | 35 | | 8 | 15 | | 9 | 10 | | 10 | 46 | | 11 | 66 | | 12 | 24 | | 13 | 12 | | 14 | 37 | | 15 | 42 | | 16 | 27 | | 17 | 32 | | 18 | 20 | | 19 | 33 | | 20 | 27 | | 21 | 29 | | 22 | 16 | | 23 | 33 | | 24 | 22 | | 25 | 21 | | 26 | 14 | | 27 | 16 | | 28 | 29 | | 29 | 26 | | 30 | 15 | | 31 | 22 | | 32 | 15 | | 33 | 35 | | 34 | 26 | | 35 | 20 | | 36 | 38 | | 37 | 14 | | 38 | 16 | | 39 | 13 | | 40 | 18 | | 41 | 8 | | 42 | 5 | | 43 | 5 | | 44 | 3 | | 45 | 5 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 69 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 148 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 3 | | flaggedSentences | 5 | | totalSentences | 94 | | ratio | 0.053 | | matches | | 0 | "This wasn’t a reunion; it was a reckoning." | | 1 | "That familiar pull flared—the attraction she’d fought to bury beneath layers of hurt and distrust." | | 2 | "Cold tension snapped between them, memories sparking in jagged shards: the promises of forever that dissolved into nights drowned in silence; the small kindnesses that felt like betrayals; the fierce grip of what-ifs." | | 3 | "Fear, hope, desire—there was no neat place to set them, no tidy resolution." | | 4 | "The faint whisper of boots against wood above them startled them both—a third party, rising from the shadows." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 665 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 18 | | adverbRatio | 0.02706766917293233 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.004511278195488722 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 94 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 94 | | mean | 11.65 | | std | 6.24 | | cv | 0.536 | | sampleLengths | | 0 | 9 | | 1 | 15 | | 2 | 17 | | 3 | 7 | | 4 | 18 | | 5 | 20 | | 6 | 16 | | 7 | 19 | | 8 | 11 | | 9 | 4 | | 10 | 3 | | 11 | 2 | | 12 | 16 | | 13 | 10 | | 14 | 12 | | 15 | 16 | | 16 | 10 | | 17 | 21 | | 18 | 14 | | 19 | 7 | | 20 | 8 | | 21 | 6 | | 22 | 4 | | 23 | 18 | | 24 | 12 | | 25 | 16 | | 26 | 17 | | 27 | 30 | | 28 | 19 | | 29 | 11 | | 30 | 13 | | 31 | 7 | | 32 | 5 | | 33 | 7 | | 34 | 30 | | 35 | 9 | | 36 | 13 | | 37 | 12 | | 38 | 8 | | 39 | 18 | | 40 | 9 | | 41 | 13 | | 42 | 19 | | 43 | 4 | | 44 | 15 | | 45 | 1 | | 46 | 15 | | 47 | 18 | | 48 | 15 | | 49 | 12 |
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| 62.77% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.3829787234042553 | | totalSentences | 94 | | uniqueOpeners | 36 | |
| 99.50% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 67 | | matches | | 0 | "Somehow, even the cat seemed" | | 1 | "Only this fracturing moment, sharp" |
| | ratio | 0.03 | |
| 34.93% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 31 | | totalSentences | 67 | | matches | | 0 | "Her pulse had no intention" | | 1 | "His tailored charcoal suit was" | | 2 | "His ivory-handled cane leaned against" | | 3 | "He gave her a slow" | | 4 | "he said, voice low, almost" | | 5 | "She crossed her arms, heart" | | 6 | "He stepped closer, the shadow" | | 7 | "His grin twisted, sharp and" | | 8 | "She could smell the tang" | | 9 | "She took a slow breath," | | 10 | "Her voice was brittle but" | | 11 | "She gestured sharply around the" | | 12 | "His amber eye flickered as" | | 13 | "Her lips pressed into a" | | 14 | "He leaned forward, voice lowering" | | 15 | "She knew his type: half-demon," | | 16 | "He dealt in secrets and" | | 17 | "She stepped closer, blue eyes" | | 18 | "He took a breath, the" | | 19 | "His black eye darkened, almost" |
| | ratio | 0.463 | |
| 4.78% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 61 | | totalSentences | 67 | | matches | | 0 | "The door slammed open before" | | 1 | "Aurora froze, the battered brass" | | 2 | "Eyes narrowing, she took a" | | 3 | "Her pulse had no intention" | | 4 | "Lucien Moreau stood in the" | | 5 | "His tailored charcoal suit was" | | 6 | "His ivory-handled cane leaned against" | | 7 | "He gave her a slow" | | 8 | "Aurora’s jaw clenched." | | 9 | "he said, voice low, almost" | | 10 | "She crossed her arms, heart" | | 11 | "The small crescent-shaped scar on" | | 12 | "He stepped closer, the shadow" | | 13 | "Aurora’s gaze dropped to the" | | 14 | "His grin twisted, sharp and" | | 15 | "She could smell the tang" | | 16 | "She took a slow breath," | | 17 | "Her voice was brittle but" | | 18 | "She gestured sharply around the" | | 19 | "Ptolemy, a tabby with golden" |
| | ratio | 0.91 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 67 | | matches | (empty) | | ratio | 0 | |
| 47.62% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 30 | | technicalSentenceCount | 4 | | matches | | 0 | "He gave her a slow smile, the kind that promised storms." | | 1 | "The small crescent-shaped scar on her left wrist twitched as if remembering all it had endured." | | 2 | "His amber eye flickered as if weighing the cat’s judgment too." | | 3 | "Cold tension snapped between them, memories sparking in jagged shards: the promises of forever that dissolved into nights drowned in silence; the small kindness…" |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 5 | | matches | | 0 | "he said, voice low, almost amused" | | 1 | "He stepped, the shadow of the hallway light dancing on his face" | | 2 | "He leaned, voice lowering," | | 3 | "Aurora’s voice dropped, but the anger simmered like a live coal" | | 4 | "She crossed, voice firmer now" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 40 | | tagDensity | 0.05 | | leniency | 0.1 | | rawRatio | 0.5 | | effectiveRatio | 0.05 | |