| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 95.43% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1094 | | 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) | |
| 31.44% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1094 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "silence" | | 1 | "pulse" | | 2 | "footsteps" | | 3 | "flickered" | | 4 | "could feel" | | 5 | "whisper" | | 6 | "measured" | | 7 | "resonance" | | 8 | "vibrated" | | 9 | "weight" |
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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 | 129 | | matches | (empty) | |
| 98.56% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 4 | | narrationSentences | 129 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 129 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 36 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1104 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 20 | | wordCount | 1104 | | uniqueNames | 7 | | maxNameDensity | 0.91 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Richmond | 1 | | Park | 1 | | Heartstone | 1 | | Pendant | 1 | | Eva | 3 | | Rory | 10 | | Ten | 3 |
| | persons | | | places | | | globalScore | 1 | | windowScore | 1 | |
| 41.30% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 69 | | glossingSentenceCount | 3 | | matches | | 0 | "thrum that seemed to sync with her own pulse" | | 1 | "something like ozone after a lightning strik" | | 2 | "resonance that seemed to rise from the ground itself" |
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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 | 1104 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 129 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 39 | | mean | 28.31 | | std | 22.31 | | cv | 0.788 | | sampleLengths | | 0 | 69 | | 1 | 25 | | 2 | 67 | | 3 | 32 | | 4 | 3 | | 5 | 56 | | 6 | 7 | | 7 | 50 | | 8 | 7 | | 9 | 64 | | 10 | 5 | | 11 | 53 | | 12 | 10 | | 13 | 10 | | 14 | 43 | | 15 | 58 | | 16 | 14 | | 17 | 51 | | 18 | 3 | | 19 | 37 | | 20 | 32 | | 21 | 49 | | 22 | 35 | | 23 | 3 | | 24 | 57 | | 25 | 38 | | 26 | 17 | | 27 | 2 | | 28 | 7 | | 29 | 39 | | 30 | 13 | | 31 | 4 | | 32 | 10 | | 33 | 27 | | 34 | 6 | | 35 | 6 | | 36 | 69 | | 37 | 20 | | 38 | 6 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 129 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 170 | | matches | | 0 | "was watching" | | 1 | "were listening" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 129 | | ratio | 0.07 | | matches | | 0 | "Not a true silence — there were the rustles of small things in the undergrowth, the distant hum of the city she'd left behind — but a heavy, watchful quiet that pressed against her ears like cotton wool." | | 1 | "She'd felt it react before, near the places Eva had marked on her map — thin spots where the world wore through like old fabric." | | 2 | "The air shifted — thicker, older, carrying the scent of crushed wildflowers and something underneath, something like ozone after a lightning strike." | | 3 | "The grove was small — she'd studied the maps, cross-referenced Eva's notes." | | 4 | "She'd read about this place — Eva had told her stories, the kind that made her laugh and then stop laughing abruptly." | | 5 | "They were oak — living wood, twisted and grown into shape, their surfaces rippling with a texture that looked almost like faces." | | 6 | "Not the crisp cold of an autumn night — a cold that settled in her bones, that made her teeth ache." | | 7 | "Something moved at the edge of her vision — a shape, a shadow, a suggestion of limbs too long and angles too sharp." | | 8 | "Not words — a sound that shaped itself into meaning somewhere behind her eyes." |
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| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1099 | | adjectiveStacks | 2 | | stackExamples | | 0 | "lay warm against her" | | 1 | "lay cool against her" |
| | adverbCount | 25 | | adverbRatio | 0.022747952684258416 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.003639672429481347 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 129 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 129 | | mean | 8.56 | | std | 7.01 | | cv | 0.819 | | sampleLengths | | 0 | 22 | | 1 | 9 | | 2 | 38 | | 3 | 4 | | 4 | 2 | | 5 | 14 | | 6 | 2 | | 7 | 3 | | 8 | 14 | | 9 | 21 | | 10 | 25 | | 11 | 4 | | 12 | 3 | | 13 | 7 | | 14 | 12 | | 15 | 4 | | 16 | 9 | | 17 | 3 | | 18 | 4 | | 19 | 22 | | 20 | 22 | | 21 | 8 | | 22 | 5 | | 23 | 2 | | 24 | 2 | | 25 | 12 | | 26 | 5 | | 27 | 12 | | 28 | 19 | | 29 | 7 | | 30 | 2 | | 31 | 14 | | 32 | 16 | | 33 | 6 | | 34 | 5 | | 35 | 21 | | 36 | 5 | | 37 | 3 | | 38 | 15 | | 39 | 22 | | 40 | 4 | | 41 | 9 | | 42 | 5 | | 43 | 3 | | 44 | 2 | | 45 | 3 | | 46 | 3 | | 47 | 4 | | 48 | 7 | | 49 | 15 |
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| 29.07% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 27 | | diversityRatio | 0.2558139534883721 | | totalSentences | 129 | | uniqueOpeners | 33 | |
| 30.03% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 111 | | matches | | 0 | "Just the dark trees, the" |
| | ratio | 0.009 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 27 | | totalSentences | 111 | | matches | | 0 | "She checked her phone." | | 1 | "It had been pulsing since" | | 2 | "She'd felt it react before," | | 3 | "She hadn't expected that." | | 4 | "Her footsteps made no sound" | | 5 | "She checked her phone again." | | 6 | "She'd been walking for three" | | 7 | "She chose the left fork." | | 8 | "She'd read about this place" | | 9 | "She put the phone in" | | 10 | "She could feel it pulsing" | | 11 | "They weren't made of the" | | 12 | "They were oak — living" | | 13 | "She stopped at the threshold." | | 14 | "She stepped inside." | | 15 | "She spun, her hand going" | | 16 | "Her breath fogged in the" | | 17 | "She wasn't alone." | | 18 | "She knew it now with" | | 19 | "She didn't look directly at" |
| | ratio | 0.243 | |
| 14.05% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 99 | | totalSentences | 111 | | matches | | 0 | "The bus dropped her at" | | 1 | "Rory stood for a moment," | | 2 | "She checked her phone." | | 3 | "The last bus back to" | | 4 | "Plenty of time." | | 5 | "The Heartstone Pendant lay warm" | | 6 | "It had been pulsing since" | | 7 | "She'd felt it react before," | | 8 | "The gate to the grove" | | 9 | "Iron scrollwork, rusted at the" | | 10 | "She hadn't expected that." | | 11 | "Rory stepped through." | | 12 | "The change was immediate." | | 13 | "The air shifted — thicker," | | 14 | "The trees on either side" | | 15 | "Her footsteps made no sound" | | 16 | "She checked her phone again." | | 17 | "She'd been walking for three" | | 18 | "The math didn't add up." | | 19 | "The grove was small —" |
| | ratio | 0.892 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 111 | | matches | (empty) | | ratio | 0 | |
| 73.17% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 41 | | technicalSentenceCount | 4 | | matches | | 0 | "Not the crisp cold of an autumn night — a cold that settled in her bones, that made her teeth ache." | | 1 | "The pendant blazed against her skin, its crimson light spilling through her shirt, illuminating the space around her in pulses." | | 2 | "The ground beneath her feet began to pulse, a slow rhythm that matched the pendant, matched her heart." | | 3 | "The stones leaned inward, their branches reaching, their faces turning." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |