| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 39 | | tagDensity | 0.359 | | leniency | 0.718 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 90.29% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1030 | | 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) | |
| 66.02% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1030 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "pulse" | | 1 | "whisper" | | 2 | "traced" | | 3 | "comforting" | | 4 | "flicked" | | 5 | "weight" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 59 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 59 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 83 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 53 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1042 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 31 | | wordCount | 788 | | uniqueNames | 7 | | maxNameDensity | 1.52 | | worstName | "Rory" | | maxWindowNameDensity | 3 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 12 | | English | 1 | | October | 1 | | Isolde | 9 | | Nyx | 6 | | Heartstone | 1 | | Fae | 1 |
| | persons | | | places | (empty) | | globalScore | 0.739 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 35 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.96 | | wordCount | 1042 | | matches | | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 83 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 40 | | mean | 26.05 | | std | 24.69 | | cv | 0.948 | | sampleLengths | | 0 | 6 | | 1 | 57 | | 2 | 33 | | 3 | 7 | | 4 | 3 | | 5 | 25 | | 6 | 20 | | 7 | 9 | | 8 | 92 | | 9 | 3 | | 10 | 8 | | 11 | 66 | | 12 | 16 | | 13 | 40 | | 14 | 61 | | 15 | 7 | | 16 | 23 | | 17 | 15 | | 18 | 17 | | 19 | 46 | | 20 | 1 | | 21 | 8 | | 22 | 85 | | 23 | 8 | | 24 | 22 | | 25 | 1 | | 26 | 74 | | 27 | 24 | | 28 | 27 | | 29 | 2 | | 30 | 37 | | 31 | 6 | | 32 | 11 | | 33 | 60 | | 34 | 6 | | 35 | 11 | | 36 | 49 | | 37 | 44 | | 38 | 6 | | 39 | 6 |
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| 99.32% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 59 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 131 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 11 | | semicolonCount | 1 | | flaggedSentences | 9 | | totalSentences | 83 | | ratio | 0.108 | | matches | | 0 | "Rory felt it first in the soles of her boots — a hum that travelled up through bone rather than ear, the kind of sound that bypassed hearing and lodged somewhere behind the teeth." | | 1 | "The sky overhead was English — grey October afternoon, one rook wheeling — but the light inside the clearing came from somewhere else entirely." | | 2 | "A brook wound across the clearing, and the water ran the wrong way — uphill, lazy, into a basin of pale stones that should have overflowed but didn't." | | 3 | "Nyx had gone ahead, their silhouette sharpening in the amber light until they looked nearly solid — a tall figure in dark coat-shapes, violet eyes lit like pilot flames." | | 4 | "Each was carved with a symbol she didn't recognise, though one of them — a spiral bitten through by a jagged line — made the Heartstone at her throat give a small, warm thud, like a second pulse catching up with her first." | | 5 | "The clearing was larger than it had any right to be; Rory had walked in under an arch of oaks she could still see when she glanced back, but the ground ahead stretched in soft folds of meadow toward a stand of silver-barked trees that certainly hadn't been visible from the threshold." | | 6 | "Rory's breath caught white in the air — here, of all places, where a yard back she'd been warm through her jacket." | | 7 | "It wasn't a big pool — you could have crossed it in three strides — but it was impossibly black, so black that the gold light refused to land on its surface and slid instead around its rim, leaving the water a flat, drinking darkness." | | 8 | "It was warm again — the cold had stayed under the silver trees like a held breath." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 786 | | adjectiveStacks | 1 | | stackExamples | | 0 | "crushed green behind her." |
| | adverbCount | 30 | | adverbRatio | 0.03816793893129771 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.011450381679389313 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 83 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 83 | | mean | 12.55 | | std | 11.17 | | cv | 0.89 | | sampleLengths | | 0 | 6 | | 1 | 34 | | 2 | 15 | | 3 | 4 | | 4 | 2 | | 5 | 2 | | 6 | 6 | | 7 | 21 | | 8 | 6 | | 9 | 7 | | 10 | 3 | | 11 | 20 | | 12 | 5 | | 13 | 17 | | 14 | 3 | | 15 | 9 | | 16 | 10 | | 17 | 24 | | 18 | 27 | | 19 | 31 | | 20 | 3 | | 21 | 3 | | 22 | 5 | | 23 | 28 | | 24 | 34 | | 25 | 4 | | 26 | 9 | | 27 | 7 | | 28 | 29 | | 29 | 7 | | 30 | 4 | | 31 | 2 | | 32 | 16 | | 33 | 43 | | 34 | 7 | | 35 | 12 | | 36 | 11 | | 37 | 11 | | 38 | 4 | | 39 | 7 | | 40 | 5 | | 41 | 5 | | 42 | 14 | | 43 | 32 | | 44 | 1 | | 45 | 8 | | 46 | 4 | | 47 | 52 | | 48 | 4 | | 49 | 25 |
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| 84.74% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.5301204819277109 | | totalSentences | 83 | | uniqueOpeners | 44 | |
| 66.67% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 50 | | matches | | 0 | "Somewhere behind her the bell-flowers" |
| | ratio | 0.02 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 13 | | totalSentences | 50 | | matches | | 0 | "She paused between two moss-bearded" | | 1 | "Her bare feet made no" | | 2 | "She caught up." | | 3 | "It poured sideways through the" | | 4 | "She stood up fast." | | 5 | "They crouched beside something in" | | 6 | "It beat against her palm." | | 7 | "They moved on, deeper." | | 8 | "She drew it halfway." | | 9 | "Her lavender eyes narrowed, pleased." | | 10 | "She gestured at the silver" | | 11 | "It wasn't a big pool" | | 12 | "It was warm again —" |
| | ratio | 0.26 | |
| 30.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 43 | | totalSentences | 50 | | matches | | 0 | "The standing stones watched them" | | 1 | "Rory felt it first in" | | 2 | "She paused between two moss-bearded" | | 3 | "The bark was warm." | | 4 | "Isolde called from ahead" | | 5 | "Her bare feet made no" | | 6 | "Nyx drifted at Rory's shoulder," | | 7 | "Rory took her hand off" | | 8 | "She caught up." | | 9 | "The sky overhead was English" | | 10 | "It poured sideways through the" | | 11 | "Wildflowers bloomed in improbable congregations:" | | 12 | "A brook wound across the" | | 13 | "She stood up fast." | | 14 | "Isolde said, not unkindly" | | 15 | "Nyx had gone ahead, their" | | 16 | "They crouched beside something in" | | 17 | "Each was carved with a" | | 18 | "Nyx's voice came thin, a" | | 19 | "Isolde said from behind them," |
| | ratio | 0.86 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 50 | | matches | (empty) | | ratio | 0 | |
| 53.57% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 24 | | technicalSentenceCount | 3 | | matches | | 0 | "Rory felt it first in the soles of her boots — a hum that travelled up through bone rather than ear, the kind of sound that bypassed hearing and lodged somewher…" | | 1 | "Wildflowers bloomed in improbable congregations: bluebells tangled with poppies tangled with things that had no name, purple bells the size of Rory's fist that …" | | 2 | "A brook wound across the clearing, and the water ran the wrong way — uphill, lazy, into a basin of pale stones that should have overflowed but didn't." |
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| 53.57% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 2 | | matches | | 0 | "Isolde said, not unkindly" | | 1 | "Nyx's voice came, a whisper stitched onto wind" |
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| 98.72% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 2 | | fancyTags | | 0 | "Rory breathed (breathe)" | | 1 | "she repeated (repeat)" |
| | dialogueSentences | 39 | | tagDensity | 0.205 | | leniency | 0.41 | | rawRatio | 0.25 | | effectiveRatio | 0.103 | |