| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1563 | | 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) | |
| 42.42% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1563 | | totalAiIsms | 18 | | found | | | highlights | | 0 | "pulsed" | | 1 | "weight" | | 2 | "electric" | | 3 | "silence" | | 4 | "flickered" | | 5 | "pulse" | | 6 | "wavered" | | 7 | "whisper" | | 8 | "resolved" | | 9 | "tension" | | 10 | "echoed" | | 11 | "warmth" | | 12 | "traced" |
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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 | 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 | 174 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 26 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1552 | | 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 | 26 | | wordCount | 1546 | | uniqueNames | 13 | | maxNameDensity | 0.52 | | worstName | "Aurora" | | maxWindowNameDensity | 1 | | worstWindowName | "Aurora" | | discoveredNames | | Grove | 3 | | Richmond | 1 | | Park | 1 | | Heartstone | 3 | | Pendant | 1 | | Silas | 1 | | Hel | 2 | | Fae | 1 | | Evan | 2 | | Eva | 1 | | Isolde | 1 | | London | 1 | | Aurora | 8 |
| | persons | | 0 | "Grove" | | 1 | "Heartstone" | | 2 | "Pendant" | | 3 | "Silas" | | 4 | "Evan" | | 5 | "Eva" | | 6 | "Isolde" | | 7 | "Aurora" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Hel" | | 3 | "London" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 111 | | glossingSentenceCount | 1 | | matches | | 0 | "felt like childhood games" |
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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 | 1552 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 174 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 22 | | mean | 70.55 | | std | 39.04 | | cv | 0.553 | | sampleLengths | | 0 | 139 | | 1 | 63 | | 2 | 71 | | 3 | 92 | | 4 | 52 | | 5 | 106 | | 6 | 114 | | 7 | 95 | | 8 | 75 | | 9 | 75 | | 10 | 63 | | 11 | 2 | | 12 | 81 | | 13 | 98 | | 14 | 58 | | 15 | 56 | | 16 | 17 | | 17 | 1 | | 18 | 79 | | 19 | 65 | | 20 | 3 | | 21 | 147 |
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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 | 260 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 11 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 174 | | ratio | 0.052 | | matches | | 0 | "Wildflowers blanketed the ground in hues too sharp for moonlight—deep violets, electric blues, whites that held their own light." | | 1 | "Midway the air sighed to her right—long, wet, as if lungs emptied through wet leaves." | | 2 | "Her own face stared up—straight black hair, bright blue eyes, mouth set flat." | | 3 | "But the skitter circled behind her—right to left, leaf litter cracking under weight that walked when she walked and halted when she halted." | | 4 | "She burst through into another clearing that looked the same as the last—pool, mushrooms, shimmer between oaks." | | 5 | "Tiny faces bloomed among the petals for less than a second—mouths stretched wide without sound—then sealed into ordinary blooms." | | 6 | "Something crawled along that edge at the limit of sight—limbs jointed the wrong way, slow and deliberate." | | 7 | "Footfalls echoed her own once more—left then right—closing a loose circle she could not see." | | 8 | "Shapes multiplied at the edges—tall ones crowned in branches, short ones thick as stumps, horned outlines that dissolved the second she tried to fix them." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1563 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 61 | | adverbRatio | 0.03902751119641715 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.007037747920665387 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 174 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 174 | | mean | 8.92 | | std | 6.11 | | cv | 0.685 | | sampleLengths | | 0 | 16 | | 1 | 20 | | 2 | 23 | | 3 | 16 | | 4 | 15 | | 5 | 4 | | 6 | 10 | | 7 | 7 | | 8 | 6 | | 9 | 22 | | 10 | 7 | | 11 | 8 | | 12 | 1 | | 13 | 1 | | 14 | 19 | | 15 | 9 | | 16 | 2 | | 17 | 16 | | 18 | 4 | | 19 | 6 | | 20 | 3 | | 21 | 18 | | 22 | 15 | | 23 | 25 | | 24 | 5 | | 25 | 1 | | 26 | 1 | | 27 | 4 | | 28 | 17 | | 29 | 4 | | 30 | 2 | | 31 | 2 | | 32 | 10 | | 33 | 13 | | 34 | 23 | | 35 | 10 | | 36 | 10 | | 37 | 1 | | 38 | 1 | | 39 | 7 | | 40 | 11 | | 41 | 9 | | 42 | 2 | | 43 | 2 | | 44 | 4 | | 45 | 5 | | 46 | 8 | | 47 | 2 | | 48 | 15 | | 49 | 2 |
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| 62.26% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.40804597701149425 | | totalSentences | 174 | | uniqueOpeners | 71 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 6 | | totalSentences | 143 | | matches | | 0 | "Only the faint creak of" | | 1 | "Only a twisted root remained," | | 2 | "Then the reflection’s mouth curved" | | 3 | "Only identical trees." | | 4 | "Only the same hush." | | 5 | "Only this pocket of fae-touched" |
| | ratio | 0.042 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 32 | | totalSentences | 143 | | matches | | 0 | "She had followed the Heartstone" | | 1 | "She came for that." | | 2 | "She stepped between two of" | | 3 | "Their petals angled toward her" | | 4 | "They held for a count" | | 5 | "She turned full around." | | 6 | "She faced forward once more" | | 7 | "She lifted the gem free" | | 8 | "She walked until the trees" | | 9 | "She stepped over them one" | | 10 | "She knelt, brushed a bloom" | | 11 | "She wiped them on her" | | 12 | "She had heard that from" | | 13 | "She emerged into a smaller" | | 14 | "Her own face stared up—straight" | | 15 | "She jerked back two steps." | | 16 | "She circled the pool at" | | 17 | "She felt the weight of" | | 18 | "She kept her eyes forward" | | 19 | "Her boot came down on" |
| | ratio | 0.224 | |
| 75.38% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 110 | | totalSentences | 143 | | matches | | 0 | "Aurora halted before the ring" | | 1 | "Night had settled over Richmond" | | 2 | "She had followed the Heartstone" | | 3 | "The crimson gem had pulsed" | | 4 | "She came for that." | | 5 | "Answers about the night she" | | 6 | "She stepped between two of" | | 7 | "The air caught her like" | | 8 | "Wildflowers blanketed the ground in" | | 9 | "Their petals angled toward her" | | 10 | "They held for a count" | | 11 | "The silence pressed in." | | 12 | "Aurora rubbed the crescent scar" | | 13 | "The ground gave under each" | | 14 | "A twig snapped behind her." | | 15 | "She turned full around." | | 16 | "The standing stones still framed" | | 17 | "Nothing stood between them." | | 18 | "The flowers faced her again," | | 19 | "She faced forward once more" |
| | ratio | 0.769 | |
| 34.97% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 143 | | matches | | | ratio | 0.007 | |
| 73.41% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 72 | | technicalSentenceCount | 7 | | matches | | 0 | "Wildflowers blanketed the ground in hues too sharp for moonlight—deep violets, electric blues, whites that held their own light." | | 1 | "The ground gave under each step, soft and springy, strewn with petals that released a sticky sweetness that clung to the back of her throat." | | 2 | "Midway the air sighed to her right—long, wet, as if lungs emptied through wet leaves." | | 3 | "The petals parted around her skin then sealed, leaving a clear sap that glued her fingertips together." | | 4 | "The park beyond looked smaller, farther, as if the stones themselves had drifted inward while she walked." | | 5 | "But the skitter circled behind her—right to left, leaf litter cracking under weight that walked when she walked and halted when she halted." | | 6 | "Shapes multiplied at the edges—tall ones crowned in branches, short ones thick as stumps, horned outlines that dissolved the second she tried to fix them." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |