| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 7 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 18 | | tagDensity | 0.389 | | leniency | 0.778 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 92.28% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1943 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "slowly" | | 1 | "very" | | 2 | "softly" |
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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) | |
| 71.69% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1943 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "warmth" | | 1 | "silence" | | 2 | "pulse" | | 3 | "absolutely" | | 4 | "wavered" | | 5 | "echo" | | 6 | "loomed" |
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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 | 228 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 228 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 238 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 46 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1949 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 34 | | wordCount | 1868 | | uniqueNames | 13 | | maxNameDensity | 0.59 | | worstName | "Aurora" | | maxWindowNameDensity | 4 | | worstWindowName | "Tok" | | discoveredNames | | Aurora | 11 | | Richmond | 2 | | Park | 1 | | London | 1 | | Heartstone | 2 | | Eva | 1 | | March | 1 | | Golden | 1 | | Empress | 1 | | Yu-Fei | 1 | | Barnes | 1 | | One | 3 | | Tok | 8 |
| | persons | | 0 | "Aurora" | | 1 | "Heartstone" | | 2 | "Eva" | | 3 | "Empress" | | 4 | "Barnes" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "London" | | 3 | "March" | | 4 | "Golden" |
| | globalScore | 1 | | windowScore | 0.333 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 106 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.513 | | wordCount | 1949 | | matches | | 0 | "not by any movement she made, but by a slow, deliberate drag on the silver chain, until the ti" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 238 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 107 | | mean | 18.21 | | std | 19.81 | | cv | 1.088 | | sampleLengths | | 0 | 78 | | 1 | 74 | | 2 | 21 | | 3 | 15 | | 4 | 12 | | 5 | 56 | | 6 | 14 | | 7 | 11 | | 8 | 31 | | 9 | 17 | | 10 | 6 | | 11 | 40 | | 12 | 7 | | 13 | 3 | | 14 | 100 | | 15 | 3 | | 16 | 10 | | 17 | 2 | | 18 | 29 | | 19 | 3 | | 20 | 10 | | 21 | 41 | | 22 | 32 | | 23 | 4 | | 24 | 35 | | 25 | 5 | | 26 | 62 | | 27 | 7 | | 28 | 4 | | 29 | 2 | | 30 | 65 | | 31 | 4 | | 32 | 22 | | 33 | 11 | | 34 | 3 | | 35 | 50 | | 36 | 20 | | 37 | 10 | | 38 | 4 | | 39 | 1 | | 40 | 17 | | 41 | 1 | | 42 | 17 | | 43 | 3 | | 44 | 12 | | 45 | 2 | | 46 | 4 | | 47 | 13 | | 48 | 25 | | 49 | 7 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 228 | | matches | | 0 | "been turned" | | 1 | "been sealed" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 295 | | matches | (empty) | |
| 58.82% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 3 | | flaggedSentences | 7 | | totalSentences | 238 | | ratio | 0.029 | | matches | | 0 | "The roads beyond the dark grass still carried London in fragments — a siren far off, a bus changing gear, a burst of laughter that snapped shut as if someone had closed a door on it — but the path ahead had no part in any of that." | | 1 | "One moment she moved between oak trunks close enough to touch with both hands; the next the trees had stepped back and left her in a clearing cluttered with low white flowers that opened under the moon like little mouths." | | 2 | "Not with a gust; the air sat still." | | 3 | "It had sat at the edges before; now it moved into the centre." | | 4 | "The recording screen still showed live, timer rolling, but under the static another sound began to form: fabric rustling, leaves brushing, her own breathing — and beneath that, a second breath, slower than hers, close enough to blur the microphone." | | 5 | "In it, for an instant, another face hovered over her shoulder — pale oval, no features, only the shape where features should have been." | | 6 | "Instead she stepped into the same clearing she'd crossed ten minutes ago — or an hour, or a day — with the low white flowers opening under the moon." |
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| 92.50% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1870 | | adjectiveStacks | 1 | | stackExamples | | 0 | "neat council-maintained edge." |
| | adverbCount | 78 | | adverbRatio | 0.04171122994652406 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.0058823529411764705 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 238 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 238 | | mean | 8.19 | | std | 8.42 | | cv | 1.028 | | sampleLengths | | 0 | 17 | | 1 | 48 | | 2 | 13 | | 3 | 13 | | 4 | 4 | | 5 | 3 | | 6 | 28 | | 7 | 26 | | 8 | 21 | | 9 | 13 | | 10 | 2 | | 11 | 12 | | 12 | 12 | | 13 | 34 | | 14 | 4 | | 15 | 1 | | 16 | 2 | | 17 | 1 | | 18 | 2 | | 19 | 6 | | 20 | 8 | | 21 | 11 | | 22 | 7 | | 23 | 2 | | 24 | 5 | | 25 | 5 | | 26 | 2 | | 27 | 10 | | 28 | 17 | | 29 | 6 | | 30 | 12 | | 31 | 23 | | 32 | 5 | | 33 | 7 | | 34 | 3 | | 35 | 2 | | 36 | 3 | | 37 | 14 | | 38 | 9 | | 39 | 12 | | 40 | 9 | | 41 | 2 | | 42 | 2 | | 43 | 5 | | 44 | 5 | | 45 | 37 | | 46 | 3 | | 47 | 10 | | 48 | 2 | | 49 | 4 |
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| 44.35% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 27 | | diversityRatio | 0.3347457627118644 | | totalSentences | 236 | | uniqueOpeners | 79 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 14 | | totalSentences | 170 | | matches | | 0 | "Instead it stretched long and" | | 1 | "Then it turned, not by" | | 2 | "Then she heard a knife" | | 3 | "Then she pivoted." | | 4 | "Only a mossed boulder sunk" | | 5 | "Bright white paper against dark" | | 6 | "Then she walked on." | | 7 | "Somewhere overhead, leaves stirred, though" | | 8 | "Then the reflection looked up" | | 9 | "Flat, exact, lifted from the" | | 10 | "Then, from behind the tree" | | 11 | "Just spoken by a mouth" | | 12 | "Instead she stepped into the" | | 13 | "Only now the arrow pointed" |
| | ratio | 0.082 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 49 | | totalSentences | 170 | | matches | | 0 | "It ran between black trunks" | | 1 | "It had started pulsing on" | | 2 | "It had kept going through" | | 3 | "She stopped short of the" | | 4 | "she murmured into the dark" | | 5 | "Her own voice reached the" | | 6 | "She pulled her phone from" | | 7 | "She opened the recorder and" | | 8 | "She slipped the phone into" | | 9 | "Her free hand found the" | | 10 | "It carried the smell of" | | 11 | "She'd walked five steps." | | 12 | "She took it out from" | | 13 | "It beat once in her" | | 14 | "She crouched and picked a" | | 15 | "She straightened and walked on." | | 16 | "Her boots made almost no" | | 17 | "She knew that sound." | | 18 | "She'd spent enough evenings squeezed" | | 19 | "It crossed the path, vanished" |
| | ratio | 0.288 | |
| 86.47% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 127 | | totalSentences | 170 | | matches | | 0 | "The roads beyond the dark" | | 1 | "It ran between black trunks" | | 2 | "The Heartstone hung beneath her" | | 3 | "A live one." | | 4 | "It had started pulsing on" | | 5 | "It had kept going through" | | 6 | "She stopped short of the" | | 7 | "The stones themselves rose shoulder-high" | | 8 | "Wildflowers crowded their base." | | 9 | "she murmured into the dark" | | 10 | "Her own voice reached the" | | 11 | "She pulled her phone from" | | 12 | "The lock screen read 23:58." | | 13 | "The battery showed forty-two percent." | | 14 | "She opened the recorder and" | | 15 | "The red timer began to" | | 16 | "She slipped the phone into" | | 17 | "Her free hand found the" | | 18 | "The old habit steadied her." | | 19 | "The park vanished." |
| | ratio | 0.747 | |
| 29.41% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 170 | | matches | | 0 | "By the time Aurora reached" |
| | ratio | 0.006 | |
| 52.15% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 63 | | technicalSentenceCount | 8 | | matches | | 0 | "The roads beyond the dark grass still carried London in fragments — a siren far off, a bus changing gear, a burst of laughter that snapped shut as if someone ha…" | | 1 | "The stones themselves rose shoulder-high from the earth, thick with moss, narrow on one side, broad on the other, as if they'd been turned to catch some old win…" | | 2 | "It carried the smell of wet earth and crushed green stems, but under that sat something sweet and overripe, almost floral, almost rotten, as if a hothouse had b…" | | 3 | "The crimson stone caught the moonlight and gave it back from somewhere deep inside itself, a low inner glow that did not belong to reflection." | | 4 | "One moment she moved between oak trunks close enough to touch with both hands; the next the trees had stepped back and left her in a clearing cluttered with low…" | | 5 | "The noise shifted deeper into the trees, still to her left, as if the invisible kitchen had picked itself up and moved." | | 6 | "A ripple travelled through the patch, a line pressing low as though a body had moved on all fours beneath the stems." | | 7 | "She let the sound settle in her bones, named it, placed it, refused the rush that wanted to seize her neck and swing her round blind." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 7 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 3 | | fancyTags | | 0 | "she murmured (murmur)" | | 1 | "she whispered (whisper)" | | 2 | "she muttered (mutter)" |
| | dialogueSentences | 18 | | tagDensity | 0.389 | | leniency | 0.778 | | rawRatio | 0.429 | | effectiveRatio | 0.333 | |