| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 14 | | tagDensity | 0.429 | | leniency | 0.857 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1282 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 61.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1282 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "weight" | | 1 | "echo" | | 2 | "warmth" | | 3 | "perfect" | | 4 | "measured" | | 5 | "pulsed" | | 6 | "familiar" | | 7 | "footsteps" | | 8 | "throb" |
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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 | 117 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 117 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 125 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 39 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 3 | | totalWords | 1282 | | ratio | 0.002 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 44 | | wordCount | 1231 | | uniqueNames | 12 | | maxNameDensity | 1.22 | | worstName | "Aurora" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Eva" | | discoveredNames | | Heartstone | 6 | | Park | 1 | | Eva | 14 | | Isolde | 1 | | Aurora | 15 | | Golden | 1 | | Empress | 1 | | District | 1 | | Line | 1 | | June | 1 | | London | 1 | | Rory | 1 |
| | persons | | 0 | "Heartstone" | | 1 | "Eva" | | 2 | "Aurora" | | 3 | "Empress" | | 4 | "Rory" |
| | places | | 0 | "Park" | | 1 | "Isolde" | | 2 | "Golden" | | 3 | "District" | | 4 | "Line" | | 5 | "June" | | 6 | "London" |
| | globalScore | 0.891 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 77 | | glossingSentenceCount | 1 | | matches | | 0 | "as if tasting the air above" |
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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 | 1282 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 125 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 44 | | mean | 29.14 | | std | 22.2 | | cv | 0.762 | | sampleLengths | | 0 | 3 | | 1 | 32 | | 2 | 46 | | 3 | 8 | | 4 | 100 | | 5 | 51 | | 6 | 87 | | 7 | 14 | | 8 | 11 | | 9 | 8 | | 10 | 9 | | 11 | 55 | | 12 | 46 | | 13 | 15 | | 14 | 17 | | 15 | 11 | | 16 | 54 | | 17 | 7 | | 18 | 38 | | 19 | 9 | | 20 | 12 | | 21 | 1 | | 22 | 2 | | 23 | 44 | | 24 | 42 | | 25 | 12 | | 26 | 28 | | 27 | 17 | | 28 | 7 | | 29 | 17 | | 30 | 69 | | 31 | 15 | | 32 | 23 | | 33 | 35 | | 34 | 43 | | 35 | 48 | | 36 | 50 | | 37 | 28 | | 38 | 49 | | 39 | 29 | | 40 | 28 | | 41 | 17 | | 42 | 19 | | 43 | 26 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 117 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 189 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 125 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1232 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 43 | | adverbRatio | 0.0349025974025974 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.002435064935064935 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 125 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 125 | | mean | 10.26 | | std | 8.31 | | cv | 0.811 | | sampleLengths | | 0 | 3 | | 1 | 26 | | 2 | 6 | | 3 | 26 | | 4 | 8 | | 5 | 12 | | 6 | 8 | | 7 | 7 | | 8 | 2 | | 9 | 29 | | 10 | 10 | | 11 | 7 | | 12 | 11 | | 13 | 34 | | 14 | 6 | | 15 | 14 | | 16 | 26 | | 17 | 5 | | 18 | 9 | | 19 | 4 | | 20 | 3 | | 21 | 33 | | 22 | 32 | | 23 | 6 | | 24 | 14 | | 25 | 8 | | 26 | 3 | | 27 | 7 | | 28 | 1 | | 29 | 5 | | 30 | 4 | | 31 | 4 | | 32 | 5 | | 33 | 16 | | 34 | 7 | | 35 | 23 | | 36 | 11 | | 37 | 15 | | 38 | 5 | | 39 | 10 | | 40 | 5 | | 41 | 8 | | 42 | 6 | | 43 | 1 | | 44 | 7 | | 45 | 10 | | 46 | 2 | | 47 | 9 | | 48 | 2 | | 49 | 7 |
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| 55.47% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 14 | | diversityRatio | 0.4 | | totalSentences | 125 | | uniqueOpeners | 50 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 106 | | matches | | 0 | "Just the standing stones at" | | 1 | "Then, from beyond the stone" | | 2 | "Light, familiar, wrong." | | 3 | "Only Eva called her Rory," |
| | ratio | 0.038 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 18 | | totalSentences | 106 | | matches | | 0 | "It had not done that" | | 1 | "She stood just inside the" | | 2 | "She had come because Eva" | | 3 | "She had expected to find" | | 4 | "She had not expected this." | | 5 | "They sprang back." | | 6 | "she whispered to the empty" | | 7 | "Her voice did not echo." | | 8 | "She moved further in." | | 9 | "Her jacket rustled too loud." | | 10 | "It smeared wet under her" | | 11 | "she said louder" | | 12 | "She slipped the pendant back" | | 13 | "Her heel hit stone she" | | 14 | "She steadied herself with a" | | 15 | "it said, and this time" | | 16 | "It smiled with Eva's mouth." | | 17 | "it said, and its voice" |
| | ratio | 0.17 | |
| 54.34% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 86 | | totalSentences | 106 | | matches | | 0 | "The pendant seared." | | 1 | "Aurora yanked the silver chain" | | 2 | "It had not done that" | | 3 | "She stood just inside the" | | 4 | "Richmond Park stretched black and" | | 5 | "She had come because Eva" | | 6 | "Eva never left her phone" | | 7 | "The grove should have been" | | 8 | "The gates to the park" | | 9 | "She had expected to find" | | 10 | "She had not expected this." | | 11 | "The city fell away." | | 12 | "Sound hollowed out." | | 13 | "The mud under her feet" | | 14 | "The standing stones marked the" | | 15 | "Aurora stepped over the threshold" | | 16 | "The wildflowers did not crush" | | 17 | "They sprang back." | | 18 | "she whispered to the empty" | | 19 | "Her voice did not echo." |
| | ratio | 0.811 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 106 | | matches | (empty) | | ratio | 0 | |
| 49.69% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 46 | | technicalSentenceCount | 6 | | matches | | 0 | "The mud under her feet gave way to soft moss and the moss gave way to wildflowers that bloomed thick and white in the dark, open as if it were noon in June." | | 1 | "The standing stones marked the boundary in a rough, uneven ring, each ancient oak trunk as wide as a car and slick with lichen that caught the faint glow from t…" | | 2 | "Each step sank a fraction and then rebounded, as if the ground remembered a different season." | | 3 | "The moss thinned to a membrane, translucent, stretched taut over a depth that had no bottom." | | 4 | "The shape underneath pushed its face against the skin of the world and Aurora saw the faint outline of features, broad and blank, with a mouth that opened far t…" | | 5 | "The Heartstone burned against her chest, a frantic, warning throb that matched the frantic thump in her ribs." |
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| 41.67% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 1 | | matches | | 0 | "it said, and its voice was Eva's voice layered over something hollow" |
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| 78.57% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 1 | | fancyTags | | 0 | "she whispered (whisper)" |
| | dialogueSentences | 14 | | tagDensity | 0.429 | | leniency | 0.857 | | rawRatio | 0.167 | | effectiveRatio | 0.143 | |