| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 1 | | adverbTags | | 0 | "But she crouched anyway [anyway]" |
| | dialogueSentences | 19 | | tagDensity | 0.684 | | leniency | 1 | | rawRatio | 0.077 | | effectiveRatio | 0.077 | |
| 95.48% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1107 | | totalAiIsmAdverbs | 1 | | 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) | |
| 68.38% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1107 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "silence" | | 1 | "wavered" | | 2 | "pulse" | | 3 | "throbbed" | | 4 | "footsteps" | | 5 | "racing" |
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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 | 69 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 69 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 75 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 45 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1117 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 39 | | wordCount | 1012 | | uniqueNames | 13 | | maxNameDensity | 1.28 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rory" | | discoveredNames | | June | 1 | | Richmond | 1 | | Park | 1 | | London | 1 | | Eva | 7 | | Nyx | 8 | | Heartstone | 1 | | Shade | 1 | | Rory | 13 | | Isolde | 2 | | Pale | 1 | | Fae | 1 | | Courts | 1 |
| | persons | | 0 | "Eva" | | 1 | "Nyx" | | 2 | "Shade" | | 3 | "Rory" | | 4 | "Isolde" | | 5 | "Courts" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "London" | | 3 | "Heartstone" | | 4 | "Fae" |
| | globalScore | 0.858 | | windowScore | 0.833 | |
| 97.92% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 48 | | glossingSentenceCount | 1 | | matches | | 0 | "something between a sigh and a shudder" |
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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 | 1117 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 75 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 28 | | mean | 39.89 | | std | 34.75 | | cv | 0.871 | | sampleLengths | | 0 | 90 | | 1 | 12 | | 2 | 85 | | 3 | 43 | | 4 | 12 | | 5 | 6 | | 6 | 3 | | 7 | 62 | | 8 | 3 | | 9 | 104 | | 10 | 33 | | 11 | 6 | | 12 | 107 | | 13 | 20 | | 14 | 20 | | 15 | 101 | | 16 | 54 | | 17 | 18 | | 18 | 66 | | 19 | 5 | | 20 | 8 | | 21 | 81 | | 22 | 53 | | 23 | 11 | | 24 | 16 | | 25 | 69 | | 26 | 17 | | 27 | 12 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 69 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 163 | | matches | | 0 | "were seeing" | | 1 | "was waiting" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 75 | | ratio | 0.12 | | matches | | 0 | "Behind her, the ordinary green sprawl of Richmond Park hummed with the distant noise of London — traffic, a dog barking, a child shrieking with laughter." | | 1 | "\"I can feel it,\" they whispered, and their voice did what it always did — slid past her ears like wind through a keyhole." | | 2 | "One foot fell on ordinary park grass, dry and yellowing in the summer heat, and the next came down on something soft and impossibly lush — a carpet of moss and wildflowers that should not have been blooming all at once." | | 3 | "Then Nyx, and the Shade made a sound Rory had never heard from them — something between a sigh and a shudder." | | 4 | "When Rory turned to look behind her, the gap they'd come through was still there — but past it, the park looked grey and distant, washed of color, as though she were seeing it through dirty glass." | | 5 | "When she glanced down she saw the wildflowers spring back upright behind her, as if she'd never passed at all — and beside her own faint tracks, there was nothing." | | 6 | "A stream cut through the center of the clearing, narrow and quick, and the water in it ran the wrong way — uphill, toward a low rise, defying every law Rory had ever trusted." | | 7 | "\"Wasn't planning on it.\" But she crouched anyway, drawn, and saw her own reflection waver in the racing surface — and behind her face, for just an instant, another." | | 8 | "Not from wind — there was no wind — but in a slow ripple, a path opening through the blooms like a parting in long hair, leading toward the rise where the stream climbed and vanished into a stand of hawthorn heavy with blossom out of season." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1007 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 32 | | adverbRatio | 0.031777557100297914 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.007944389275074478 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 75 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 75 | | mean | 14.89 | | std | 10.66 | | cv | 0.715 | | sampleLengths | | 0 | 29 | | 1 | 17 | | 2 | 3 | | 3 | 26 | | 4 | 15 | | 5 | 7 | | 6 | 5 | | 7 | 18 | | 8 | 29 | | 9 | 24 | | 10 | 14 | | 11 | 15 | | 12 | 4 | | 13 | 24 | | 14 | 12 | | 15 | 6 | | 16 | 3 | | 17 | 17 | | 18 | 16 | | 19 | 15 | | 20 | 14 | | 21 | 3 | | 22 | 4 | | 23 | 41 | | 24 | 22 | | 25 | 3 | | 26 | 34 | | 27 | 11 | | 28 | 22 | | 29 | 3 | | 30 | 3 | | 31 | 12 | | 32 | 16 | | 33 | 28 | | 34 | 14 | | 35 | 37 | | 36 | 9 | | 37 | 5 | | 38 | 6 | | 39 | 11 | | 40 | 4 | | 41 | 5 | | 42 | 8 | | 43 | 12 | | 44 | 30 | | 45 | 12 | | 46 | 25 | | 47 | 4 | | 48 | 10 | | 49 | 34 |
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| 74.67% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.48 | | totalSentences | 75 | | uniqueOpeners | 36 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 62 | | matches | | 0 | "Then Nyx, and the Shade" | | 1 | "Then the water rushed on" | | 2 | "Somewhere in this impossible clearing," |
| | ratio | 0.048 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 13 | | totalSentences | 62 | | matches | | 0 | "It was June." | | 1 | "It wasn't really a question." | | 2 | "they whispered, and their voice" | | 3 | "She'd insisted on coming." | | 4 | "It had been warm all" | | 5 | "She let out a slow" | | 6 | "It was not gradual." | | 7 | "It was the deep gold" | | 8 | "Her voice came out hushed." | | 9 | "They were inside it now," | | 10 | "She stood at the bank" | | 11 | "She stood up too fast." | | 12 | "It hummed faintly against her" |
| | ratio | 0.21 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 43 | | totalSentences | 62 | | matches | | 0 | "The standing stones rose out" | | 1 | "Rory stopped at the threshold" | | 2 | "It was June." | | 3 | "It wasn't really a question." | | 4 | "Nyx flowed up beside her," | | 5 | "they whispered, and their voice" | | 6 | "The third member of their" | | 7 | "She'd insisted on coming." | | 8 | "Rory had let her, against" | | 9 | "Eva said, though her voice" | | 10 | "Eva didn't move." | | 11 | "Rory reached up and pressed" | | 12 | "It had been warm all" | | 13 | "She let out a slow" | | 14 | "The world changed." | | 15 | "It was not gradual." | | 16 | "Bluebells and foxgloves, primroses, things" | | 17 | "The cold vanished." | | 18 | "The air turned thick and" | | 19 | "The grove opened before them" |
| | ratio | 0.694 | |
| 80.65% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 62 | | matches | | 0 | "Now, this close to the" |
| | ratio | 0.016 | |
| 14.65% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 39 | | technicalSentenceCount | 7 | | matches | | 0 | "Rory stopped at the threshold of them, her breath fogging in air that shouldn't have been cold." | | 1 | "In the open daylight they were little more than a smudge of darkness wearing the shape of a tall man, their violet eyes the only thing that held color." | | 2 | "One foot fell on ordinary park grass, dry and yellowing in the summer heat, and the next came down on something soft and impossibly lush — a carpet of moss and …" | | 3 | "The air turned thick and sweet, heavy with pollen and the green smell of growing things, and underneath it something older, mineral, like wet stone in a cave th…" | | 4 | "When Rory turned to look behind her, the gap they'd come through was still there — but past it, the park looked grey and distant, washed of color, as though she…" | | 5 | "When she glanced down she saw the wildflowers spring back upright behind her, as if she'd never passed at all — and beside her own faint tracks, there was nothi…" | | 6 | "Somewhere in this impossible clearing, in the pocket between one world and the next, a three-hundred-year-old woman who could not lie was waiting to tell her so…" |
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| 86.54% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 1 | | matches | | 0 | "Eva said, though her voice wavered" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 6 | | fancyTags | | 0 | "they whispered (whisper)" | | 1 | "Nyx murmured (murmur)" | | 2 | "Nyx breathed (breathe)" | | 3 | "she whispered (whisper)" | | 4 | "Nyx warned (warn)" | | 5 | "Nyx murmured (murmur)" |
| | dialogueSentences | 19 | | tagDensity | 0.579 | | leniency | 1 | | rawRatio | 0.545 | | effectiveRatio | 0.545 | |