| 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 | |
| 90.38% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1039 | | 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) | |
| 23.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1039 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "fractured" | | 1 | "weight" | | 2 | "pulsed" | | 3 | "gloom" | | 4 | "etched" | | 5 | "stomach" | | 6 | "shattered" | | 7 | "echoed" | | 8 | "trembled" | | 9 | "whisper" | | 10 | "silence" | | 11 | "traced" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 171 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 171 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 171 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 27 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1039 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 0 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 12 | | wordCount | 1030 | | uniqueNames | 8 | | maxNameDensity | 0.29 | | worstName | "Aurora" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Thump" | | discoveredNames | | Richmond | 1 | | Park | 1 | | Heartstone | 1 | | November | 1 | | Golden | 1 | | Empress | 1 | | Aurora | 3 | | Thump | 3 |
| | persons | | | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 67 | | 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 | 1039 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 171 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 10 | | mean | 103.9 | | std | 73.56 | | cv | 0.708 | | sampleLengths | | 0 | 80 | | 1 | 134 | | 2 | 135 | | 3 | 111 | | 4 | 259 | | 5 | 137 | | 6 | 4 | | 7 | 28 | | 8 | 8 | | 9 | 143 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 171 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 200 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 171 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 177 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 1 | | adverbRatio | 0.005649717514124294 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.005649717514124294 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 171 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 171 | | mean | 6.08 | | std | 4.27 | | cv | 0.702 | | sampleLengths | | 0 | 13 | | 1 | 6 | | 2 | 17 | | 3 | 14 | | 4 | 10 | | 5 | 4 | | 6 | 10 | | 7 | 6 | | 8 | 5 | | 9 | 18 | | 10 | 5 | | 11 | 12 | | 12 | 5 | | 13 | 16 | | 14 | 14 | | 15 | 16 | | 16 | 15 | | 17 | 4 | | 18 | 7 | | 19 | 3 | | 20 | 6 | | 21 | 8 | | 22 | 3 | | 23 | 11 | | 24 | 3 | | 25 | 13 | | 26 | 2 | | 27 | 27 | | 28 | 2 | | 29 | 9 | | 30 | 12 | | 31 | 5 | | 32 | 2 | | 33 | 3 | | 34 | 11 | | 35 | 3 | | 36 | 5 | | 37 | 4 | | 38 | 5 | | 39 | 5 | | 40 | 4 | | 41 | 6 | | 42 | 5 | | 43 | 2 | | 44 | 9 | | 45 | 2 | | 46 | 8 | | 47 | 12 | | 48 | 4 | | 49 | 5 |
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| 43.86% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 15 | | diversityRatio | 0.3157894736842105 | | totalSentences | 171 | | uniqueOpeners | 54 | |
| 70.42% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 142 | | matches | | 0 | "Only bark and shadow." | | 1 | "Just air moving in a" | | 2 | "Just the rhythm of that" |
| | ratio | 0.021 | |
| 98.87% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 43 | | totalSentences | 142 | | matches | | 0 | "Her boots sank into damp" | | 1 | "She checked her wristwatch." | | 2 | "She stepped past the first" | | 3 | "She adjusted the strap of" | | 4 | "It pointed through service alleys," | | 5 | "She unfolded the napkin." | | 6 | "She tucked the paper back" | | 7 | "It resisted her movement, pulling" | | 8 | "It drifted backward, sliding toward" | | 9 | "Her breath did not fade." | | 10 | "She exhaled again." | | 11 | "She watched the watch face." | | 12 | "She tapped the glass." | | 13 | "She narrowed her eyes." | | 14 | "She walked forward." | | 15 | "It pressed against her skin," | | 16 | "Their scent shifted from mint" | | 17 | "She pushed a petal aside." | | 18 | "She followed the split birch" | | 19 | "It pulsed in a rhythm" |
| | ratio | 0.303 | |
| 9.30% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 128 | | totalSentences | 142 | | matches | | 0 | "The oak standing stones rose" | | 1 | "Aurora stopped at the boundary" | | 2 | "Her boots sank into damp" | | 3 | "The Heartstone pendant hung against" | | 4 | "She checked her wristwatch." | | 5 | "The needle jittered between eleven" | | 6 | "She stepped past the first" | | 7 | "The clearing opened without warning." | | 8 | "Wildflowers carpeted the ground in" | | 9 | "Dew clung to every stem." | | 10 | "Aurora pressed her thumb against" | | 11 | "The raised flesh anchored her." | | 12 | "She adjusted the strap of" | | 13 | "Tonight she carried only the" | | 14 | "The paper had arrived that" | | 15 | "It pointed through service alleys," | | 16 | "She unfolded the napkin." | | 17 | "The ink smeared in the" | | 18 | "Stop where the moss turns" | | 19 | "She tucked the paper back" |
| | ratio | 0.901 | |
| 35.21% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 142 | | matches | | | ratio | 0.007 | |
| 58.82% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 34 | | technicalSentenceCount | 4 | | matches | | 0 | "Her boots sank into damp soil that carried the heavy scent of crushed mint and stagnant water." | | 1 | "It resisted her movement, pulling at her jacket, slowing her breath." | | 2 | "The grove plunged into absolute dark, save for the pendant’s glow, which cast long, jerking shadows against the trees." | | 3 | "She reached blindly behind her, fingers closing around the heavy flashlight base now resting against the root." |
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| 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 | |