| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 4 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 85.70% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1049 | | totalAiIsmAdverbs | 3 | | 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) | |
| 57.10% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1049 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "warmth" | | 1 | "throbbed" | | 2 | "pulse" | | 3 | "echo" | | 4 | "pulsed" | | 5 | "silence" | | 6 | "footsteps" |
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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 | 96 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 96 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 98 | | 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 | 2 | | markdownWords | 7 | | totalWords | 1049 | | ratio | 0.007 | | matches | | 0 | "Deer," | | 1 | "Foxes. This is still a park." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 19 | | wordCount | 1038 | | uniqueNames | 9 | | maxNameDensity | 0.67 | | worstName | "Rory" | | maxWindowNameDensity | 1 | | worstWindowName | "Heartstone" | | discoveredNames | | Richmond | 1 | | Park | 1 | | Heartstone | 4 | | Eva | 1 | | June | 1 | | November | 1 | | Except | 2 | | Silas | 1 | | Rory | 7 |
| | persons | | 0 | "Heartstone" | | 1 | "Eva" | | 2 | "Silas" | | 3 | "Rory" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "June" | | 3 | "Except" |
| | globalScore | 1 | | windowScore | 1 | |
| 68.03% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 61 | | glossingSentenceCount | 2 | | matches | | 0 | "quite name" | | 1 | "not quite more the memory of a tune half-recalled, notes that slid past where they should have landed" |
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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 | 1049 | | matches | (empty) | |
| 98.64% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 98 | | matches | | 0 | "reconsider that math" | | 1 | "known that the" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 37 | | mean | 28.35 | | std | 22.27 | | cv | 0.786 | | sampleLengths | | 0 | 24 | | 1 | 67 | | 2 | 52 | | 3 | 48 | | 4 | 60 | | 5 | 3 | | 6 | 3 | | 7 | 52 | | 8 | 1 | | 9 | 18 | | 10 | 34 | | 11 | 22 | | 12 | 10 | | 13 | 71 | | 14 | 7 | | 15 | 8 | | 16 | 65 | | 17 | 4 | | 18 | 61 | | 19 | 8 | | 20 | 15 | | 21 | 59 | | 22 | 19 | | 23 | 10 | | 24 | 59 | | 25 | 16 | | 26 | 16 | | 27 | 52 | | 28 | 16 | | 29 | 18 | | 30 | 18 | | 31 | 57 | | 32 | 9 | | 33 | 21 | | 34 | 27 | | 35 | 11 | | 36 | 8 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 96 | | matches | | |
| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 6 | | totalVerbs | 174 | | matches | | 0 | "was working" | | 1 | "was getting" | | 2 | "was starting" | | 3 | "wasn't singing" | | 4 | "was not walking" | | 5 | "was walking" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 98 | | ratio | 0 | | matches | (empty) | |
| 90.30% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1040 | | adjectiveStacks | 1 | | stackExamples | | | adverbCount | 46 | | adverbRatio | 0.04423076923076923 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.008653846153846154 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 98 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 98 | | mean | 10.7 | | std | 8.78 | | cv | 0.82 | | sampleLengths | | 0 | 15 | | 1 | 9 | | 2 | 14 | | 3 | 12 | | 4 | 6 | | 5 | 4 | | 6 | 31 | | 7 | 19 | | 8 | 15 | | 9 | 10 | | 10 | 8 | | 11 | 10 | | 12 | 38 | | 13 | 30 | | 14 | 19 | | 15 | 11 | | 16 | 3 | | 17 | 3 | | 18 | 13 | | 19 | 18 | | 20 | 3 | | 21 | 18 | | 22 | 1 | | 23 | 10 | | 24 | 2 | | 25 | 6 | | 26 | 3 | | 27 | 20 | | 28 | 10 | | 29 | 1 | | 30 | 5 | | 31 | 4 | | 32 | 1 | | 33 | 12 | | 34 | 4 | | 35 | 1 | | 36 | 5 | | 37 | 9 | | 38 | 6 | | 39 | 17 | | 40 | 3 | | 41 | 5 | | 42 | 31 | | 43 | 7 | | 44 | 7 | | 45 | 1 | | 46 | 3 | | 47 | 28 | | 48 | 9 | | 49 | 5 |
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| 82.31% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.5306122448979592 | | totalSentences | 98 | | uniqueOpeners | 52 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 6 | | totalSentences | 84 | | matches | | 0 | "Just flowers, motionless, and beyond" | | 1 | "Somewhere above, no owls called." | | 2 | "Even her own breath sounded" | | 3 | "Then the humming started." | | 4 | "Too big for a fox." | | 5 | "Somewhere behind her, the humming" |
| | ratio | 0.071 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 24 | | totalSentences | 84 | | matches | | 0 | "She hadn't brought either." | | 1 | "She hadn't brought much of" | | 2 | "She'd told Eva she was" | | 3 | "She hadn't worked a shift" | | 4 | "She found the standing stones" | | 5 | "They didn't sway." | | 6 | "Her voice landed flat, swallowed" | | 7 | "She kept walking." | | 8 | "She swung the torch." | | 9 | "She knew that." | | 10 | "She'd been warned of that." | | 11 | "She'd come anyway, because the" | | 12 | "She was starting to reconsider" | | 13 | "It wasn't singing, not quite," | | 14 | "She turned in a slow" | | 15 | "she said, mostly to hear" | | 16 | "She pressed on toward the" | | 17 | "She made herself breathe slow." | | 18 | "She'd known that the moment" | | 19 | "It stood between two flowering" |
| | ratio | 0.286 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 59 | | totalSentences | 84 | | matches | | 0 | "The padlock on the service" | | 1 | "Someone had wanted her to" | | 2 | "Rory crouched by the fence" | | 3 | "A clean diagonal cut, edges" | | 4 | "Bolt cutters, maybe, or something" | | 5 | "She hadn't brought either." | | 6 | "She hadn't brought much of" | | 7 | "The Heartstone had woken her" | | 8 | "She'd told Eva she was" | | 9 | "She hadn't worked a shift" | | 10 | "The gate swung inward on" | | 11 | "She found the standing stones" | | 12 | "The pendant burned." | | 13 | "Rory stepped through." | | 14 | "The temperature dropped, then rose," | | 15 | "Wildflowers carpeted the clearing beyond" | | 16 | "They didn't sway." | | 17 | "Her voice landed flat, swallowed" | | 18 | "Groves shouldn't eat sound like" | | 19 | "She kept walking." |
| | ratio | 0.702 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 84 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 44 | | technicalSentenceCount | 2 | | matches | | 0 | "Beyond it, the park unfolded into a darkness that swallowed her torch beam within ten feet, deer paths cutting silver lines through black grass, the distant hus…" | | 1 | "She turned in a slow circle, torch beam raking across flower and stone and endless dark, and found nothing that could be making the sound." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 4 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |