| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 0 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.08% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2553 | | totalAiIsmAdverbs | 2 | | 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) | |
| 53.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2553 | | totalAiIsms | 24 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | |
| | highlights | | 0 | "warmth" | | 1 | "loomed" | | 2 | "echo" | | 3 | "pulse" | | 4 | "vibrated" | | 5 | "throbbed" | | 6 | "echoed" | | 7 | "synchronized" | | 8 | "trembled" | | 9 | "traced" | | 10 | "footfall" | | 11 | "familiar" | | 12 | "footsteps" | | 13 | "charged" | | 14 | "weight" | | 15 | "pulsed" | | 16 | "whisper" | | 17 | "depths" | | 18 | "stomach" | | 19 | "perfect" | | 20 | "shattered" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 323 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 323 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 323 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 26 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 2553 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 1 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 37 | | wordCount | 2551 | | uniqueNames | 16 | | maxNameDensity | 0.47 | | worstName | "Rory" | | maxWindowNameDensity | 1 | | worstWindowName | "London" | | discoveredNames | | Carter | 2 | | Richmond | 1 | | Park | 1 | | Golden | 1 | | Empress | 1 | | Welsh | 1 | | London | 2 | | Evan | 3 | | Eva | 2 | | Dymas | 1 | | Irish | 1 | | Rory | 12 | | Jennifer | 1 | | Cardiff | 2 | | You | 3 | | One | 3 |
| | persons | | 0 | "Carter" | | 1 | "Evan" | | 2 | "Eva" | | 3 | "Rory" | | 4 | "Jennifer" | | 5 | "You" | | 6 | "One" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Golden" | | 3 | "London" | | 4 | "Dymas" | | 5 | "Cardiff" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 202 | | 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 | 2553 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 323 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 150 | | mean | 17.02 | | std | 15.14 | | cv | 0.89 | | sampleLengths | | 0 | 62 | | 1 | 30 | | 2 | 29 | | 3 | 17 | | 4 | 12 | | 5 | 14 | | 6 | 27 | | 7 | 15 | | 8 | 31 | | 9 | 15 | | 10 | 5 | | 11 | 5 | | 12 | 20 | | 13 | 15 | | 14 | 6 | | 15 | 5 | | 16 | 5 | | 17 | 5 | | 18 | 5 | | 19 | 11 | | 20 | 17 | | 21 | 2 | | 22 | 8 | | 23 | 20 | | 24 | 22 | | 25 | 19 | | 26 | 2 | | 27 | 10 | | 28 | 3 | | 29 | 11 | | 30 | 1 | | 31 | 17 | | 32 | 19 | | 33 | 3 | | 34 | 12 | | 35 | 8 | | 36 | 18 | | 37 | 7 | | 38 | 4 | | 39 | 3 | | 40 | 4 | | 41 | 17 | | 42 | 4 | | 43 | 7 | | 44 | 5 | | 45 | 3 | | 46 | 14 | | 47 | 5 | | 48 | 4 | | 49 | 6 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 323 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 457 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 323 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 2340 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 54 | | adverbRatio | 0.023076923076923078 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.003418803418803419 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 323 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 323 | | mean | 7.9 | | std | 4.52 | | cv | 0.572 | | sampleLengths | | 0 | 11 | | 1 | 4 | | 2 | 13 | | 3 | 7 | | 4 | 15 | | 5 | 12 | | 6 | 4 | | 7 | 6 | | 8 | 5 | | 9 | 15 | | 10 | 8 | | 11 | 10 | | 12 | 4 | | 13 | 7 | | 14 | 6 | | 15 | 8 | | 16 | 3 | | 17 | 4 | | 18 | 8 | | 19 | 14 | | 20 | 5 | | 21 | 11 | | 22 | 11 | | 23 | 6 | | 24 | 5 | | 25 | 4 | | 26 | 7 | | 27 | 9 | | 28 | 11 | | 29 | 4 | | 30 | 6 | | 31 | 5 | | 32 | 4 | | 33 | 5 | | 34 | 5 | | 35 | 3 | | 36 | 8 | | 37 | 3 | | 38 | 6 | | 39 | 8 | | 40 | 7 | | 41 | 2 | | 42 | 4 | | 43 | 5 | | 44 | 5 | | 45 | 5 | | 46 | 5 | | 47 | 11 | | 48 | 8 | | 49 | 4 |
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| 43.19% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 22 | | diversityRatio | 0.21052631578947367 | | totalSentences | 323 | | uniqueOpeners | 68 | |
| 21.86% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 305 | | matches | | 0 | "Perhaps this place knew those" | | 1 | "Then the ground released a" |
| | ratio | 0.007 | |
| 39.02% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 138 | | totalSentences | 305 | | matches | | 0 | "She came in search of" | | 1 | "She abandoned the delivery bag" | | 2 | "Their oak forms loomed overhead." | | 3 | "She set the bicycle down" | | 4 | "Their petals displayed hues that" | | 5 | "She took a step." | | 6 | "Her hand went to the" | | 7 | "Its deep crimson gem emitted" | | 8 | "She examined it." | | 9 | "You brought me here." | | 10 | "She advanced to the center." | | 11 | "She halted and rubbed the" | | 12 | "She directed her gaze there." | | 13 | "She paced a circuit around" | | 14 | "Her path took her close" | | 15 | "She averted her eyes." | | 16 | "She rotated on her heel." | | 17 | "Her question received no answer." | | 18 | "She resumed movement." | | 19 | "Her pace increased." |
| | ratio | 0.452 | |
| 2.62% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 279 | | totalSentences | 305 | | matches | | 0 | "Aurora Carter guided her bicycle" | | 1 | "Night cloaked the grounds." | | 2 | "The pendant on its silver" | | 3 | "She came in search of" | | 4 | "The unknown benefactor's gift had" | | 5 | "She abandoned the delivery bag" | | 6 | "Trees parted for her." | | 7 | "The cluster of standing stones" | | 8 | "Their oak forms loomed overhead." | | 9 | "She set the bicycle down" | | 10 | "Wildflowers covered the ground in" | | 11 | "Their petals displayed hues that" | | 12 | "She took a step." | | 13 | "The soil gave way beneath" | | 14 | "Her hand went to the" | | 15 | "Its deep crimson gem emitted" | | 16 | "She examined it." | | 17 | "You brought me here." | | 18 | "The words left her lips" | | 19 | "She advanced to the center." |
| | ratio | 0.915 | |
| 49.18% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 305 | | matches | | 0 | "Now show me what I" | | 1 | "If you have them, speak" | | 2 | "Now the presence pressed on" |
| | ratio | 0.01 | |
| 98.67% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 97 | | technicalSentenceCount | 6 | | matches | | 0 | "It formed a tune that reminded her of lullabies from her mother in their Welsh home." | | 1 | "They possessed tall forms with features that mimicked her straight shoulder-length black hair and bright blue eyes." | | 2 | "The rock sailed true then dropped straight down at the edge of the clearing as if it struck an invisible ceiling." | | 3 | "Their forms suggested clothing now, long garments that dragged against the grass with the same fabric whisper from earlier." | | 4 | "Their petals opened wider to reveal centers that contained tiny replicas of the standing stones." | | 5 | "Her attention remained fixed on the circle of shapes that shared her face and her scar and her uncertainty." |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |