| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 2 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 84.54% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 970 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | |
| 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 970 | | totalAiIsms | 29 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | word | "moth to a flame" | | count | 1 |
| | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | word | "down her spine" | | count | 1 |
| | 17 | | | 18 | | | 19 | | | 20 | |
| | highlights | | 0 | "loomed" | | 1 | "charged" | | 2 | "scanning" | | 3 | "footsteps" | | 4 | "beacon" | | 5 | "weight" | | 6 | "whisper" | | 7 | "racing" | | 8 | "chill" | | 9 | "resonated" | | 10 | "moth to a flame" | | 11 | "pounding" | | 12 | "palpable" | | 13 | "symphony" | | 14 | "pulse" | | 15 | "pulsed" | | 16 | "down her spine" | | 17 | "cacophony" | | 18 | "tapestry" | | 19 | "warmth" | | 20 | "reminder" |
| |
| 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 | 1 | | narrationSentences | 72 | | matches | | |
| 83.33% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 3 | | narrationSentences | 72 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 72 | | 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 | 969 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 24 | | wordCount | 963 | | uniqueNames | 12 | | maxNameDensity | 0.93 | | worstName | "Grove" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Grove" | | discoveredNames | | Carter | 1 | | Heartstone | 1 | | Pendant | 1 | | Fae | 2 | | Grove | 9 | | Richmond | 1 | | Park | 1 | | Earth | 1 | | Yu-Fei | 1 | | Golden | 1 | | Empress | 1 | | Rory | 4 |
| | persons | | 0 | "Carter" | | 1 | "Pendant" | | 2 | "Rory" |
| | places | | 0 | "Fae" | | 1 | "Grove" | | 2 | "Richmond" | | 3 | "Park" | | 4 | "Yu-Fei" | | 5 | "Golden" |
| | globalScore | 1 | | windowScore | 1 | |
| 78.57% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 70 | | glossingSentenceCount | 2 | | matches | | 0 | "voices that seemed to rise from the very earth" | | 1 | "as if responding to the pendant's light" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 969 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 72 | | matches | (empty) | |
| 20.68% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 23 | | mean | 42.13 | | std | 9.37 | | cv | 0.222 | | sampleLengths | | 0 | 54 | | 1 | 65 | | 2 | 51 | | 3 | 53 | | 4 | 35 | | 5 | 50 | | 6 | 40 | | 7 | 45 | | 8 | 47 | | 9 | 40 | | 10 | 38 | | 11 | 40 | | 12 | 44 | | 13 | 17 | | 14 | 36 | | 15 | 44 | | 16 | 33 | | 17 | 41 | | 18 | 32 | | 19 | 39 | | 20 | 36 | | 21 | 39 | | 22 | 50 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 72 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 175 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 72 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 964 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 32 | | adverbRatio | 0.03319502074688797 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.006224066390041493 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 72 | | echoCount | 0 | | echoWords | (empty) | |
| 88.35% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 72 | | mean | 13.46 | | std | 4.99 | | cv | 0.371 | | sampleLengths | | 0 | 21 | | 1 | 14 | | 2 | 19 | | 3 | 23 | | 4 | 33 | | 5 | 9 | | 6 | 10 | | 7 | 20 | | 8 | 7 | | 9 | 9 | | 10 | 5 | | 11 | 8 | | 12 | 11 | | 13 | 13 | | 14 | 8 | | 15 | 13 | | 16 | 11 | | 17 | 12 | | 18 | 12 | | 19 | 11 | | 20 | 17 | | 21 | 11 | | 22 | 11 | | 23 | 7 | | 24 | 9 | | 25 | 7 | | 26 | 17 | | 27 | 17 | | 28 | 11 | | 29 | 10 | | 30 | 7 | | 31 | 13 | | 32 | 14 | | 33 | 20 | | 34 | 9 | | 35 | 15 | | 36 | 16 | | 37 | 14 | | 38 | 15 | | 39 | 9 | | 40 | 9 | | 41 | 11 | | 42 | 20 | | 43 | 16 | | 44 | 11 | | 45 | 17 | | 46 | 7 | | 47 | 10 | | 48 | 14 | | 49 | 11 |
| |
| 47.22% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.2361111111111111 | | totalSentences | 72 | | uniqueOpeners | 17 | |
| 92.59% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 72 | | matches | | 0 | "Just the trees, their branches" | | 1 | "Just shadows playing tricks on" |
| | ratio | 0.028 | |
| 58.89% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 29 | | totalSentences | 72 | | matches | | 0 | "She had come here for" | | 1 | "She had to be careful." | | 2 | "Her heart thudded in her" | | 3 | "She turned, scanning the shadows," | | 4 | "she muttered, trying to steady" | | 5 | "She pressed on, her footsteps" | | 6 | "It guided her deeper into" | | 7 | "She felt watched, as if" | | 8 | "She spun around, heart racing," | | 9 | "She shook her head, trying" | | 10 | "She pulled her jacket tighter," | | 11 | "It was close now, whatever" | | 12 | "It was a melody, haunting" | | 13 | "She followed it, drawn like" | | 14 | "She stepped forward, the pendant's" | | 15 | "She reached out, her fingers" | | 16 | "She backed away, her eyes" | | 17 | "she called, her voice trembling" | | 18 | "She turned back to the" | | 19 | "She had to leave, had" |
| | ratio | 0.403 | |
| 15.56% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 64 | | totalSentences | 72 | | matches | | 0 | "Aurora Carter's breath came in" | | 1 | "The ancient oak standing stones" | | 2 | "She had come here for" | | 3 | "The Grove was a place" | | 4 | "Rory had heard whispers of" | | 5 | "Tonight, she needed the Grove's" | | 6 | "The air grew thick, and" | | 7 | "Time moved differently here, she" | | 8 | "An hour inside could be" | | 9 | "She had to be careful." | | 10 | "A rustle in the underbrush" | | 11 | "Her heart thudded in her" | | 12 | "The sound came again, a" | | 13 | "She turned, scanning the shadows," | | 14 | "she muttered, trying to steady" | | 15 | "She pressed on, her footsteps" | | 16 | "The pendant grew warmer, its" | | 17 | "It guided her deeper into" | | 18 | "She felt watched, as if" | | 19 | "The sensation was suffocating, a" |
| | ratio | 0.889 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 72 | | matches | (empty) | | ratio | 0 | |
| 38.96% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 55 | | technicalSentenceCount | 8 | | matches | | 0 | "Rory had heard whispers of its existence from Yu-Fei, her employer at the Golden Empress, who spoke of it in hushed tones as if the very mention could summon so…" | | 1 | "But the wrongness persisted, a creeping sensation that slithered up her spine." | | 2 | "The wrongness was palpable now, a living thing that coiled around her, whispering of danger." | | 3 | "The pendant pulsed against her skin, a steady rhythm that matched her racing heart." | | 4 | "The symbols glowed faintly, as if responding to the pendant's light." | | 5 | "She stumbled back, her foot catching on a root, and she fell, the pendant slipping from her grasp." | | 6 | "The shadows closed in, a living tapestry that wove around her, whispering secrets she couldn't understand." | | 7 | "She had come seeking answers, and though she had found them, the questions lingered, a shadow that would follow her long after she left the Grove behind." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 1 | | matches | | 0 | "she called, her voice trembling" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 2 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0.5 | | effectiveRatio | 0.5 | |