| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 1 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 83.97% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1560 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "really" | | 1 | "quickly" | | 2 | "very" | | 3 | "slowly" | | 4 | "carefully" |
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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) | |
| 55.13% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1560 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "throb" | | 1 | "pulse" | | 2 | "pulsed" | | 3 | "weight" | | 4 | "scanned" | | 5 | "footsteps" | | 6 | "vibrated" | | 7 | "warmth" | | 8 | "unspoken" | | 9 | "measured" | | 10 | "flicker" | | 11 | "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 | 173 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 173 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 173 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 42 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 10 | | totalWords | 1560 | | ratio | 0.006 | | matches | | 0 | "It will warm near a Hel portal. Don't follow it." |
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| 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 | 23 | | wordCount | 1550 | | uniqueNames | 13 | | maxNameDensity | 0.32 | | worstName | "Aurora" | | maxWindowNameDensity | 1 | | worstWindowName | "Richmond" | | discoveredNames | | Richmond | 2 | | Park | 1 | | London | 1 | | November | 1 | | Heartstone | 1 | | Putney | 1 | | Yu-Fei | 1 | | Eva | 2 | | Cardiff | 3 | | Evan | 2 | | Pre-Law | 1 | | Hel | 2 | | Aurora | 5 |
| | persons | | | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "London" | | 3 | "November" | | 4 | "Putney" | | 5 | "Yu-Fei" | | 6 | "Cardiff" | | 7 | "Hel" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 95 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.641 | | wordCount | 1560 | | matches | | 0 | "not as a thought but as a pressure at the back of her neck" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 173 | | matches | | 0 | "written that afternoon" | | 1 | "knew that shape" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 55 | | mean | 28.36 | | std | 19.78 | | cv | 0.697 | | sampleLengths | | 0 | 81 | | 1 | 76 | | 2 | 72 | | 3 | 71 | | 4 | 15 | | 5 | 5 | | 6 | 74 | | 7 | 32 | | 8 | 12 | | 9 | 2 | | 10 | 26 | | 11 | 22 | | 12 | 35 | | 13 | 25 | | 14 | 40 | | 15 | 38 | | 16 | 3 | | 17 | 38 | | 18 | 8 | | 19 | 30 | | 20 | 12 | | 21 | 32 | | 22 | 20 | | 23 | 70 | | 24 | 4 | | 25 | 30 | | 26 | 34 | | 27 | 29 | | 28 | 36 | | 29 | 15 | | 30 | 20 | | 31 | 42 | | 32 | 21 | | 33 | 18 | | 34 | 44 | | 35 | 27 | | 36 | 3 | | 37 | 26 | | 38 | 35 | | 39 | 9 | | 40 | 49 | | 41 | 10 | | 42 | 17 | | 43 | 32 | | 44 | 4 | | 45 | 22 | | 46 | 29 | | 47 | 22 | | 48 | 6 | | 49 | 16 |
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| 97.15% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 173 | | matches | | 0 | "were meant" | | 1 | "was lit" | | 2 | "been thinned" | | 3 | "was cornered" |
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| 49.06% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 6 | | totalVerbs | 265 | | matches | | 0 | "was carrying" | | 1 | "were moving" | | 2 | "was waiting" | | 3 | "was looking" | | 4 | "was burning" | | 5 | "was turning" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 173 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 838 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 28 | | adverbRatio | 0.03341288782816229 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.0059665871121718375 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 173 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 173 | | mean | 9.02 | | std | 7.29 | | cv | 0.808 | | sampleLengths | | 0 | 22 | | 1 | 20 | | 2 | 25 | | 3 | 14 | | 4 | 7 | | 5 | 2 | | 6 | 9 | | 7 | 29 | | 8 | 11 | | 9 | 7 | | 10 | 11 | | 11 | 4 | | 12 | 3 | | 13 | 17 | | 14 | 2 | | 15 | 3 | | 16 | 9 | | 17 | 6 | | 18 | 28 | | 19 | 24 | | 20 | 11 | | 21 | 6 | | 22 | 30 | | 23 | 5 | | 24 | 3 | | 25 | 1 | | 26 | 6 | | 27 | 5 | | 28 | 15 | | 29 | 9 | | 30 | 27 | | 31 | 23 | | 32 | 18 | | 33 | 14 | | 34 | 4 | | 35 | 5 | | 36 | 3 | | 37 | 2 | | 38 | 19 | | 39 | 7 | | 40 | 2 | | 41 | 4 | | 42 | 5 | | 43 | 5 | | 44 | 6 | | 45 | 4 | | 46 | 7 | | 47 | 3 | | 48 | 21 | | 49 | 4 |
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| 33.24% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 29 | | diversityRatio | 0.2254335260115607 | | totalSentences | 173 | | uniqueOpeners | 39 | |
| 85.47% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 156 | | matches | | 0 | "Just a low, steady throb" | | 1 | "Then too small." | | 2 | "Then a bird called." | | 3 | "Just one cluster near her" |
| | ratio | 0.026 | |
| 66.15% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 60 | | totalSentences | 156 | | matches | | 0 | "She pulled her scarf up" | | 1 | "It had started acting up" | | 2 | "He'd told her to take" | | 3 | "She had not asked him" | | 4 | "She knew the way." | | 5 | "She left the paved path" | | 6 | "She stepped across the threshold." | | 7 | "She had come because it" | | 8 | "She was tired of being" | | 9 | "She set the delivery bag" | | 10 | "She said it aloud." | | 11 | "Her voice sounded too loud." | | 12 | "She told herself it was" | | 13 | "Her own breath fogged and" | | 14 | "It was wrong." | | 15 | "She was cool-headed." | | 16 | "She told herself that." | | 17 | "She counted her breaths." | | 18 | "She scanned the trees." | | 19 | "She lifted the chain over" |
| | ratio | 0.385 | |
| 30.51% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 134 | | totalSentences | 156 | | matches | | 0 | "The bus dropped her at" | | 1 | "Aurora stood on the empty" | | 2 | "The air was damp and" | | 3 | "She pulled her scarf up" | | 4 | "The Heartstone was warm against" | | 5 | "It had started acting up" | | 6 | "He'd told her to take" | | 7 | "She had not asked him" | | 8 | "She knew the way." | | 9 | "The Richmond grove." | | 10 | "A place you found if" | | 11 | "The stones were the first" | | 12 | "She left the paved path" | | 13 | "The oak standing stones were" | | 14 | "Wildflowers grew there in the" | | 15 | "She stepped across the threshold." | | 16 | "The air changed." | | 17 | "The pendant pulsed once, brighter." | | 18 | "Aurora stopped at the center" | | 19 | "She had come because it" |
| | ratio | 0.859 | |
| 96.15% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 156 | | matches | | 0 | "As if sound had been" | | 1 | "Because for a week it" | | 2 | "Because something had moved at" |
| | ratio | 0.019 | |
| 91.84% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 56 | | technicalSentenceCount | 4 | | matches | | 0 | "It had started acting up around six, halfway through a run to Putney, a faint prickle that had grown into insistence by the time she clocked out at Yu-Fei's." | | 1 | "Wildflowers grew there in the dark, impossible white and violet blooms that caught the streetlight spill from far off and made it look like the clearing was lit…" | | 2 | "Just one cluster near her left boot, petals turning toward her as if she were heat." | | 3 | "She walked fast, the bag bouncing against her hip, the scar on her wrist throbbing once and then settling." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | 0 | "She whispered (whisper)" |
| | dialogueSentences | 1 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0.5 | | effectiveRatio | 0.5 | |