| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 2 | | adverbTags | | 0 | "She jerked back [back]" | | 1 | "Aurora’s throat closed around [around]" |
| | dialogueSentences | 9 | | tagDensity | 0.889 | | leniency | 1 | | rawRatio | 0.25 | | effectiveRatio | 0.25 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1217 | | 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1217 | | totalAiIsms | 27 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | |
| | highlights | | 0 | "warmth" | | 1 | "pulsed" | | 2 | "silence" | | 3 | "scanned" | | 4 | "pulse" | | 5 | "flicked" | | 6 | "flickered" | | 7 | "footsteps" | | 8 | "fractured" | | 9 | "echoing" | | 10 | "thundered" | | 11 | "weight" | | 12 | "wavered" | | 13 | "throbbed" | | 14 | "traced" | | 15 | "familiar" | | 16 | "fluttered" | | 17 | "gloom" |
| |
| 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 | 178 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 178 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 179 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 22 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1205 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 31 | | wordCount | 1178 | | uniqueNames | 15 | | maxNameDensity | 0.93 | | worstName | "Aurora" | | maxWindowNameDensity | 2 | | worstWindowName | "Aurora" | | discoveredNames | | Carter | 1 | | Heartstone | 2 | | Pendant | 1 | | Richmond | 1 | | Park | 1 | | Grove | 4 | | London | 1 | | Hel | 1 | | Eva | 1 | | Silence | 1 | | Coat | 1 | | Leaves | 3 | | Go | 1 | | Light | 1 | | Aurora | 11 |
| | persons | | 0 | "Carter" | | 1 | "Pendant" | | 2 | "Grove" | | 3 | "Eva" | | 4 | "Leaves" | | 5 | "Light" | | 6 | "Aurora" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "London" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 96 | | 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 | 1205 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 179 | | matches | (empty) | |
| 78.94% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 31 | | mean | 38.87 | | std | 16.57 | | cv | 0.426 | | sampleLengths | | 0 | 64 | | 1 | 66 | | 2 | 35 | | 3 | 9 | | 4 | 42 | | 5 | 48 | | 6 | 12 | | 7 | 55 | | 8 | 28 | | 9 | 24 | | 10 | 34 | | 11 | 39 | | 12 | 33 | | 13 | 67 | | 14 | 60 | | 15 | 41 | | 16 | 23 | | 17 | 17 | | 18 | 7 | | 19 | 60 | | 20 | 42 | | 21 | 43 | | 22 | 46 | | 23 | 40 | | 24 | 47 | | 25 | 62 | | 26 | 29 | | 27 | 45 | | 28 | 28 | | 29 | 40 | | 30 | 19 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 178 | | matches | | 0 | "been flattened" | | 1 | "been pressed" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 231 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 11 | | semicolonCount | 1 | | flaggedSentences | 10 | | totalSentences | 179 | | ratio | 0.056 | | matches | | 0 | "A faint warmth pulsed through the crimson gem—an invitation or a warning." | | 1 | "She’d come here because the pendant had led her—guiding her steps through Richmond Park until the world bent and time stretched." | | 2 | "Leaning down, she smelled something sharp—iron." | | 3 | "The ground there lay bare—brown soil darkened with moisture." | | 4 | "The sound came again—closer, deliberate." | | 5 | "No—something heavier; footsteps wouldn’t sound this hollow, like taps on wood." | | 6 | "Another sound—barely more than breath." | | 7 | "She blinked—and the Coat of Leaves, a fallen bough hung with delicate foliage, shivered." | | 8 | "Just the outside world leaking in—distant horns, distant shouts." | | 9 | "She whirled, expecting someone—friend or foe—but nothing moved." |
| |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1190 | | adjectiveStacks | 1 | | stackExamples | | | adverbCount | 38 | | adverbRatio | 0.031932773109243695 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.005042016806722689 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 179 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 179 | | mean | 6.73 | | std | 4.01 | | cv | 0.595 | | sampleLengths | | 0 | 10 | | 1 | 10 | | 2 | 17 | | 3 | 12 | | 4 | 15 | | 5 | 13 | | 6 | 4 | | 7 | 12 | | 8 | 10 | | 9 | 21 | | 10 | 6 | | 11 | 6 | | 12 | 9 | | 13 | 16 | | 14 | 4 | | 15 | 9 | | 16 | 11 | | 17 | 11 | | 18 | 7 | | 19 | 8 | | 20 | 1 | | 21 | 4 | | 22 | 6 | | 23 | 9 | | 24 | 9 | | 25 | 2 | | 26 | 1 | | 27 | 3 | | 28 | 12 | | 29 | 6 | | 30 | 3 | | 31 | 9 | | 32 | 15 | | 33 | 8 | | 34 | 2 | | 35 | 5 | | 36 | 13 | | 37 | 9 | | 38 | 3 | | 39 | 4 | | 40 | 6 | | 41 | 6 | | 42 | 7 | | 43 | 4 | | 44 | 1 | | 45 | 4 | | 46 | 10 | | 47 | 5 | | 48 | 5 | | 49 | 3 |
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| 51.40% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.33519553072625696 | | totalSentences | 179 | | uniqueOpeners | 60 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 6 | | totalSentences | 152 | | matches | | 0 | "Only the distant hum of" | | 1 | "Just a pale shape, like" | | 2 | "Then thrust thin arms outward," | | 3 | "Then the thing to her" | | 4 | "Just the outside world leaking" | | 5 | "Somewhere in the gloom, a" |
| | ratio | 0.039 | |
| 91.05% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 49 | | totalSentences | 152 | | matches | | 0 | "She tugged the Heartstone Pendant" | | 1 | "She raised it, watched the" | | 2 | "She’d come here because the" | | 3 | "She frowned, chest tightening." | | 4 | "she whispered, though no one" | | 5 | "She squatted, pressing her ear" | | 6 | "She straightened and scanned the" | | 7 | "She stepped closer." | | 8 | "She swept the chain through" | | 9 | "She freed herself and found" | | 10 | "she told herself" | | 11 | "She knelt and brushed dirt" | | 12 | "She touched its tip." | | 13 | "She jerked back" | | 14 | "It swung free, catching moonlight." | | 15 | "She flicked her eyes around." | | 16 | "She spun, arms wide, ready" | | 17 | "She placed a hand over" | | 18 | "She’d tracked a Hel portal" | | 19 | "She held her breath, listened." |
| | ratio | 0.322 | |
| 52.11% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 124 | | totalSentences | 152 | | matches | | 0 | "Aurora Carter pushed through brambles," | | 1 | "The night pressed against her" | | 2 | "She tugged the Heartstone Pendant" | | 3 | "A faint warmth pulsed through" | | 4 | "She raised it, watched the" | | 5 | "The standing stones emerged from" | | 6 | "Moss draped their trunks." | | 7 | "Wildflowers glowed faintly at their" | | 8 | "Aurora’s boots sank into soft" | | 9 | "She’d come here because the" | | 10 | "The wrongness hit first as" | | 11 | "She frowned, chest tightening." | | 12 | "she whispered, though no one" | | 13 | "A breeze stirred through the" | | 14 | "Aurora walked toward the largest" | | 15 | "Rings and knots tangled under" | | 16 | "She squatted, pressing her ear" | | 17 | "She straightened and scanned the" | | 18 | "The stones formed a circle," | | 19 | "She stepped closer." |
| | ratio | 0.816 | |
| 65.79% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 152 | | matches | | 0 | "Now she stood inside the" | | 1 | "To her, hours." |
| | ratio | 0.013 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 39 | | technicalSentenceCount | 1 | | matches | | 0 | "Shadows flickered between trees as if something moved at the edge of her vision." |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 2 | | fancyTags | | 0 | "she whispered (whisper)" | | 1 | "she gasped (gasp)" |
| | dialogueSentences | 9 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0.667 | | effectiveRatio | 0.444 | |