| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 32 | | tagDensity | 0.406 | | leniency | 0.813 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1003 | | 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) | |
| 70.09% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1003 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "rhythmic" | | 1 | "familiar" | | 2 | "whisper" | | 3 | "pulsed" | | 4 | "firmly" | | 5 | "flickered" |
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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 | 73 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 73 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 92 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 38 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1020 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 72.80% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 43 | | wordCount | 842 | | uniqueNames | 11 | | maxNameDensity | 1.54 | | worstName | "Eva" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rory" | | discoveredNames | | Richmond | 1 | | Park | 1 | | Eva | 13 | | October | 1 | | Nyx | 10 | | Rory | 12 | | Cardiff | 1 | | London | 1 | | Heartstone | 1 | | Reminded | 1 | | Fae | 1 |
| | persons | | 0 | "Eva" | | 1 | "Nyx" | | 2 | "Rory" | | 3 | "Reminded" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Cardiff" | | 3 | "London" |
| | globalScore | 0.728 | | windowScore | 0.833 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 41 | | glossingSentenceCount | 3 | | matches | | 0 | "felt like a pebble pulled from a stream" | | 1 | "looked like stained glass — actual staine" | | 2 | "felt like the temperature of skin, of b" |
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| 3.92% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.961 | | wordCount | 1020 | | matches | | 0 | "neither warm nor" | | 1 | "not scared exactly, but something in here doesn't want us" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 92 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 39 | | mean | 26.15 | | std | 22.83 | | cv | 0.873 | | sampleLengths | | 0 | 11 | | 1 | 64 | | 2 | 21 | | 3 | 47 | | 4 | 21 | | 5 | 7 | | 6 | 90 | | 7 | 17 | | 8 | 2 | | 9 | 10 | | 10 | 47 | | 11 | 12 | | 12 | 8 | | 13 | 60 | | 14 | 41 | | 15 | 4 | | 16 | 6 | | 17 | 2 | | 18 | 63 | | 19 | 18 | | 20 | 9 | | 21 | 68 | | 22 | 54 | | 23 | 7 | | 24 | 11 | | 25 | 3 | | 26 | 36 | | 27 | 42 | | 28 | 10 | | 29 | 29 | | 30 | 1 | | 31 | 8 | | 32 | 51 | | 33 | 35 | | 34 | 13 | | 35 | 6 | | 36 | 44 | | 37 | 7 | | 38 | 35 |
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| 95.65% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 73 | | matches | | 0 | "was silvered" | | 1 | "been dipped" | | 2 | "were made" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 147 | | matches | | 0 | "was staring" | | 1 | "was watching" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 15 | | semicolonCount | 1 | | flaggedSentences | 11 | | totalSentences | 92 | | ratio | 0.12 | | matches | | 0 | "One moment she'd been crunching through autumn leaves in Richmond Park with Eva's directions burning in her pocket; the next, the air thickened around her like honey and the October cold sloughed off her skin." | | 1 | "The park noise — distant traffic, a dog barking, the rhythmic thud of a jogger — cut off mid-beat, as though someone had shut a heavy door behind her." | | 2 | "Wildflowers spilled across the clearing in drifts — blue ones that pulsed like slow heartbeats, white ones with petals thin as spun glass, crimson bells that chimed, actually chimed, when the wind touched them." | | 3 | "There was one sun, pale and enormous, and then a smaller companion — a moon, maybe, or something pretending to be one — hanging beside it at a distance that made Rory's eyes ache when she tried to measure it." | | 4 | "That was the first strange thing — cold." | | 5 | "Beneath the bell-chime of the red flowers there was something else — a low, continuous note, deep as a cello's bottom string, threading up from the earth." | | 6 | "Its wings were made of what looked like stained glass — actual stained glass, leaded panes and all — and when it flapped, it made a faint musical ringing." | | 7 | "Rory laughed, and the sound carried wrong — it bounced back to her from the trees a half-second late, as though the grove had to think about whether to return it." | | 8 | "Her breath didn't fog, though the air felt neither warm nor cold — it felt like the temperature of skin, of bathwater exactly the temperature of blood." | | 9 | "Not a figure — not yet — just a suggestion of one." | | 10 | "Rory's hand went to the hilt of the Fae blade at her hip — cold through her palm, colder than the air, steady as a held breath — and she started down toward the hollow." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 835 | | adjectiveStacks | 1 | | stackExamples | | | adverbCount | 30 | | adverbRatio | 0.03592814371257485 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.008383233532934131 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 92 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 92 | | mean | 11.09 | | std | 9.52 | | cv | 0.859 | | sampleLengths | | 0 | 11 | | 1 | 35 | | 2 | 29 | | 3 | 13 | | 4 | 8 | | 5 | 22 | | 6 | 25 | | 7 | 16 | | 8 | 5 | | 9 | 4 | | 10 | 3 | | 11 | 26 | | 12 | 34 | | 13 | 30 | | 14 | 5 | | 15 | 8 | | 16 | 4 | | 17 | 2 | | 18 | 10 | | 19 | 3 | | 20 | 40 | | 21 | 4 | | 22 | 9 | | 23 | 3 | | 24 | 3 | | 25 | 5 | | 26 | 11 | | 27 | 10 | | 28 | 19 | | 29 | 5 | | 30 | 15 | | 31 | 8 | | 32 | 8 | | 33 | 15 | | 34 | 10 | | 35 | 4 | | 36 | 5 | | 37 | 1 | | 38 | 2 | | 39 | 27 | | 40 | 4 | | 41 | 19 | | 42 | 12 | | 43 | 1 | | 44 | 7 | | 45 | 11 | | 46 | 3 | | 47 | 6 | | 48 | 3 | | 49 | 11 |
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| 73.91% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.4891304347826087 | | totalSentences | 92 | | uniqueOpeners | 45 | |
| 61.73% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 54 | | matches | | 0 | "Then Eva was through, stumbling" |
| | ratio | 0.019 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 15 | | totalSentences | 54 | | matches | | 0 | "She was staring." | | 1 | "She tipped her head back," | | 2 | "She looked away fast." | | 3 | "They moved forward together, Rory" | | 4 | "Her boots pressed silver grass" | | 5 | "She glanced behind her and" | | 6 | "It had warmed against her" | | 7 | "It wasn't sound exactly." | | 8 | "It was more like the" | | 9 | "They pressed deeper." | | 10 | "Its wings were made of" | | 11 | "It landed on Eva's shoulder," | | 12 | "She went quiet after that." | | 13 | "Her breath didn't fog, though" | | 14 | "she reminded Eva" |
| | ratio | 0.278 | |
| 61.85% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 43 | | totalSentences | 54 | | matches | | 0 | "Rory stepped between the oak" | | 1 | "The park noise — distant" | | 2 | "Eva's voice drifted from somewhere" | | 3 | "Nyx murmured, the whisper-wind voice" | | 4 | "Rory barely heard them." | | 5 | "She was staring." | | 6 | "The grove sprawled before her" | | 7 | "Wildflowers spilled across the clearing" | | 8 | "The grass underfoot was silvered" | | 9 | "She tipped her head back," | | 10 | "She looked away fast." | | 11 | "They moved forward together, Rory" | | 12 | "Her boots pressed silver grass" | | 13 | "She glanced behind her and" | | 14 | "Nyx left nothing at all." | | 15 | "Eva's trainers left faint bruises" | | 16 | "The Heartstone pendant lay cold" | | 17 | "That was the first strange" | | 18 | "It had warmed against her" | | 19 | "Here, it felt like a" |
| | ratio | 0.796 | |
| 92.59% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 54 | | matches | | | ratio | 0.019 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 34 | | technicalSentenceCount | 7 | | matches | | 0 | "One moment she'd been crunching through autumn leaves in Richmond Park with Eva's directions burning in her pocket; the next, the air thickened around her like …" | | 1 | "The park noise — distant traffic, a dog barking, the rhythmic thud of a jogger — cut off mid-beat, as though someone had shut a heavy door behind her." | | 2 | "Wildflowers spilled across the clearing in drifts — blue ones that pulsed like slow heartbeats, white ones with petals thin as spun glass, crimson bells that ch…" | | 3 | "There was one sun, pale and enormous, and then a smaller companion — a moon, maybe, or something pretending to be one — hanging beside it at a distance that mad…" | | 4 | "She glanced behind her and found her own footprints already fading, the grass straightening as if she'd never passed." | | 5 | "Rory laughed, and the sound carried wrong — it bounced back to her from the trees a half-second late, as though the grove had to think about whether to return i…" | | 6 | "Under the wonder, beneath the ache of beauty that had crept up on her without permission, was a low pressure against her sternum." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 5 | | fancyTags | | 0 | "Nyx murmured (murmur)" | | 1 | "Eva breathed (breathe)" | | 2 | "Eva muttered (mutter)" | | 3 | "Nyx warned (warn)" | | 4 | "Eva whispered (whisper)" |
| | dialogueSentences | 32 | | tagDensity | 0.313 | | leniency | 0.625 | | rawRatio | 0.5 | | effectiveRatio | 0.313 | |