| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 14 | | tagDensity | 0.286 | | leniency | 0.571 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 90.83% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1091 | | totalAiIsmAdverbs | 2 | | 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) | |
| 54.17% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1091 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "glint" | | 1 | "echoed" | | 2 | "echo" | | 3 | "footsteps" | | 4 | "flickered" | | 5 | "wavering" | | 6 | "lilt" | | 7 | "electric" | | 8 | "flicker" |
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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 | 94 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 94 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 103 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 34 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1091 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 18 | | wordCount | 927 | | uniqueNames | 9 | | maxNameDensity | 0.54 | | worstName | "Quinn" | | maxWindowNameDensity | 1 | | worstWindowName | "Quinn" | | discoveredNames | | London | 2 | | Quinn | 5 | | November | 1 | | Saint | 2 | | Christopher | 2 | | Herrera | 3 | | Underground | 1 | | Tube | 1 | | Seville | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Saint" | | 2 | "Christopher" | | 3 | "Herrera" | | 4 | "Underground" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 59 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like a lantern, though the flame i" |
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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 | 1091 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 103 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 35 | | mean | 31.17 | | std | 20.24 | | cv | 0.649 | | sampleLengths | | 0 | 62 | | 1 | 26 | | 2 | 64 | | 3 | 37 | | 4 | 51 | | 5 | 6 | | 6 | 54 | | 7 | 55 | | 8 | 12 | | 9 | 24 | | 10 | 12 | | 11 | 59 | | 12 | 60 | | 13 | 4 | | 14 | 28 | | 15 | 18 | | 16 | 5 | | 17 | 31 | | 18 | 13 | | 19 | 22 | | 20 | 46 | | 21 | 34 | | 22 | 21 | | 23 | 6 | | 24 | 36 | | 25 | 31 | | 26 | 12 | | 27 | 42 | | 28 | 6 | | 29 | 56 | | 30 | 68 | | 31 | 52 | | 32 | 22 | | 33 | 13 | | 34 | 3 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 94 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 162 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 103 | | ratio | 0.01 | | matches | | 0 | "Morris had waited, three years ago, and by the time backup arrived—" |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 927 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 32 | | adverbRatio | 0.034519956850053934 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.008629989212513484 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 103 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 103 | | mean | 10.59 | | std | 7.65 | | cv | 0.722 | | sampleLengths | | 0 | 18 | | 1 | 25 | | 2 | 19 | | 3 | 3 | | 4 | 3 | | 5 | 20 | | 6 | 11 | | 7 | 23 | | 8 | 10 | | 9 | 20 | | 10 | 4 | | 11 | 2 | | 12 | 9 | | 13 | 22 | | 14 | 9 | | 15 | 18 | | 16 | 3 | | 17 | 1 | | 18 | 20 | | 19 | 6 | | 20 | 2 | | 21 | 8 | | 22 | 13 | | 23 | 12 | | 24 | 5 | | 25 | 7 | | 26 | 5 | | 27 | 2 | | 28 | 9 | | 29 | 11 | | 30 | 11 | | 31 | 12 | | 32 | 12 | | 33 | 5 | | 34 | 7 | | 35 | 6 | | 36 | 3 | | 37 | 3 | | 38 | 12 | | 39 | 12 | | 40 | 10 | | 41 | 5 | | 42 | 2 | | 43 | 1 | | 44 | 1 | | 45 | 21 | | 46 | 2 | | 47 | 17 | | 48 | 5 | | 49 | 26 |
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| 71.20% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.4563106796116505 | | totalSentences | 103 | | uniqueOpeners | 47 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 80 | | matches | (empty) | | ratio | 0 | |
| 70.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 30 | | totalSentences | 80 | | matches | | 0 | "She pushed harder." | | 1 | "Her legs burned." | | 2 | "She knew that medallion." | | 3 | "Her hand found the wall" | | 4 | "She looked up." | | 5 | "She swept her torch beam" | | 6 | "She knelt, examining the grooves." | | 7 | "She grabbed the grate with" | | 8 | "It resisted, then gave with" | | 9 | "Her torch beam couldn't find" | | 10 | "Her radio crackled at her" | | 11 | "She ignored it." | | 12 | "She pushed the thought aside" | | 13 | "She counted as she descended." | | 14 | "Her foot found solid ground." | | 15 | "She killed the torch and" | | 16 | "Her breathing sounded too loud," | | 17 | "It moved closer, then stopped." | | 18 | "His accent carried the soft" | | 19 | "Her hand drifted to the" |
| | ratio | 0.375 | |
| 53.75% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 65 | | totalSentences | 80 | | matches | | 0 | "Harlow Quinn's boots slapped against" | | 1 | "She pushed harder." | | 2 | "Her legs burned." | | 3 | "The alley narrowed between brick" | | 4 | "The figure was already at" | | 5 | "The distinctive glint of a" | | 6 | "She knew that medallion." | | 7 | "The paramedic who'd lost his" | | 8 | "The one who kept turning" | | 9 | "Her hand found the wall" | | 10 | "The service road behind the" | | 11 | "She looked up." | | 12 | "The rain drove into her" | | 13 | "A clang echoed from below" | | 14 | "She swept her torch beam" | | 15 | "A rusted grate sat flush" | | 16 | "She knelt, examining the grooves." | | 17 | "The scratches were too clean," | | 18 | "Someone had forced this recently." | | 19 | "She grabbed the grate with" |
| | ratio | 0.813 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 80 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 40 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 2 | | matches | | 0 | "He gestured, the ceiling, the darkness beyond" | | 1 | "He turned, the lantern swinging gently at his side" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 14 | | tagDensity | 0.071 | | leniency | 0.143 | | rawRatio | 0 | | effectiveRatio | 0 | |