| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 1 | | adverbTags | | 0 | "Silas asked softly [softly]" |
| | dialogueSentences | 36 | | tagDensity | 0.278 | | leniency | 0.556 | | rawRatio | 0.1 | | effectiveRatio | 0.056 | |
| 76.92% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1083 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "very" | | 1 | "softly" | | 2 | "slightly" | | 3 | "really" | | 4 | "gently" |
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| 100.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | | codexExemptions | | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 53.83% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1083 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "scanning" | | 1 | "silence" | | 2 | "clandestine" | | 3 | "weight" | | 4 | "tension" | | 5 | "comforting" | | 6 | "flickered" | | 7 | "pulse" |
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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 | 1 | | narrationSentences | 56 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 56 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 82 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 48 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1076 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 95.57% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 31 | | wordCount | 643 | | uniqueNames | 17 | | maxNameDensity | 1.09 | | worstName | "Silas" | | maxWindowNameDensity | 2 | | worstWindowName | "Silas" | | discoveredNames | | Soho | 2 | | Carter | 2 | | Raven | 1 | | Nest | 1 | | London | 1 | | Yu-Fei | 1 | | Cheung | 1 | | Golden | 1 | | Empress | 1 | | Laila | 1 | | Malphora | 1 | | Cardiff | 2 | | Evan | 1 | | Silas | 7 | | Blackwood | 1 | | Rory | 3 | | Aurora | 4 |
| | persons | | 0 | "Carter" | | 1 | "Raven" | | 2 | "Yu-Fei" | | 3 | "Cheung" | | 4 | "Laila" | | 5 | "Evan" | | 6 | "Silas" | | 7 | "Blackwood" | | 8 | "Rory" | | 9 | "Aurora" |
| | places | | 0 | "Soho" | | 1 | "London" | | 2 | "Cardiff" |
| | globalScore | 0.956 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 37 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.929 | | wordCount | 1076 | | matches | | 0 | "not from weakness, but from the shock of truth" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 82 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 45 | | mean | 23.91 | | std | 21.03 | | cv | 0.879 | | sampleLengths | | 0 | 99 | | 1 | 79 | | 2 | 15 | | 3 | 74 | | 4 | 1 | | 5 | 9 | | 6 | 31 | | 7 | 9 | | 8 | 7 | | 9 | 8 | | 10 | 10 | | 11 | 30 | | 12 | 18 | | 13 | 14 | | 14 | 7 | | 15 | 17 | | 16 | 13 | | 17 | 33 | | 18 | 7 | | 19 | 20 | | 20 | 12 | | 21 | 17 | | 22 | 9 | | 23 | 23 | | 24 | 7 | | 25 | 5 | | 26 | 56 | | 27 | 3 | | 28 | 25 | | 29 | 48 | | 30 | 8 | | 31 | 24 | | 32 | 48 | | 33 | 24 | | 34 | 9 | | 35 | 12 | | 36 | 23 | | 37 | 44 | | 38 | 28 | | 39 | 18 | | 40 | 27 | | 41 | 29 | | 42 | 10 | | 43 | 14 | | 44 | 52 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 56 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 107 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 82 | | ratio | 0.073 | | matches | | 0 | "Her shoulder-length black hair clung damp from the rain, her bright blue eyes scanning the dim interior out of old habit—exit routes, sightlines, shadows that moved wrong." | | 1 | "Life had shrunk since London—part-time deliveries for Yu-Fei Cheung's Golden Empress, a flat above this bar, a name she barely recognised in the mirror." | | 2 | "She felt the tension crackle—who she was against who she'd become." | | 3 | "Silas reached across, his hand shaking slightly, and covered her wrist—not holding, not comforting, just connecting." | | 4 | "She looked at him, really looked—at the grey-streaked hair, the trimmed beard, the limp, the ring, the eyes that had seen too many secrets." | | 5 | "\"I missed you, Si,\" Aurora said, and her voice broke—not from weakness, but from the shock of truth." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 659 | | adjectiveStacks | 1 | | stackExamples | | 0 | "neat grey-streaked auburn" |
| | adverbCount | 23 | | adverbRatio | 0.03490136570561457 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.013657056145675266 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 82 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 82 | | mean | 13.12 | | std | 9.36 | | cv | 0.713 | | sampleLengths | | 0 | 14 | | 1 | 26 | | 2 | 27 | | 3 | 18 | | 4 | 14 | | 5 | 24 | | 6 | 24 | | 7 | 5 | | 8 | 2 | | 9 | 2 | | 10 | 2 | | 11 | 20 | | 12 | 15 | | 13 | 4 | | 14 | 21 | | 15 | 22 | | 16 | 3 | | 17 | 9 | | 18 | 15 | | 19 | 1 | | 20 | 8 | | 21 | 1 | | 22 | 16 | | 23 | 15 | | 24 | 6 | | 25 | 3 | | 26 | 7 | | 27 | 8 | | 28 | 4 | | 29 | 3 | | 30 | 3 | | 31 | 19 | | 32 | 11 | | 33 | 6 | | 34 | 12 | | 35 | 6 | | 36 | 8 | | 37 | 3 | | 38 | 4 | | 39 | 17 | | 40 | 13 | | 41 | 10 | | 42 | 23 | | 43 | 7 | | 44 | 20 | | 45 | 7 | | 46 | 5 | | 47 | 17 | | 48 | 9 | | 49 | 9 |
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| 59.35% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.4146341463414634 | | totalSentences | 82 | | uniqueOpeners | 34 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 49 | | matches | | 0 | "Just a ghost of a" | | 1 | "Then the bookshelf near the" |
| | ratio | 0.041 | |
| 64.90% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 19 | | totalSentences | 49 | | matches | | 0 | "Her shoulder-length black hair clung" | | 1 | "She wore a faded delivery" | | 2 | "She found a stool near" | | 3 | "He was thinner." | | 4 | "His hazel eyes, once sharp" | | 5 | "She froze, the glass halfway" | | 6 | "He lowered himself onto the" | | 7 | "She took a sip." | | 8 | "He paused, studying her" | | 9 | "She set the glass down" | | 10 | "He laughed, a dry rasp" | | 11 | "Her jaw tightened." | | 12 | "He gestured to her left" | | 13 | "She felt the tension crackle—who" | | 14 | "His silver ring was cold" | | 15 | "She looked at him, really" | | 16 | "She pulled her wrist back" | | 17 | "She stood, smoothing her jacket," | | 18 | "She walked toward the door," |
| | ratio | 0.388 | |
| 72.24% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 38 | | totalSentences | 49 | | matches | | 0 | "Aurora Carter pushed through the" | | 1 | "Her shoulder-length black hair clung" | | 2 | "She wore a faded delivery" | | 3 | "She found a stool near" | | 4 | "Life had shrunk since London—part—time" | | 5 | "Rory, her friends called her." | | 6 | "He was thinner." | | 7 | "The beard had turned almost" | | 8 | "His hazel eyes, once sharp" | | 9 | "She froze, the glass halfway" | | 10 | "He lowered himself onto the" | | 11 | "The signet ring caught the" | | 12 | "She took a sip." | | 13 | "The whiskey burned." | | 14 | "He paused, studying her" | | 15 | "She set the glass down" | | 16 | "He laughed, a dry rasp" | | 17 | "Her jaw tightened." | | 18 | "Silas signalled the bartender, then" | | 19 | "Aurora felt the old wound" |
| | ratio | 0.776 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 49 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 26 | | technicalSentenceCount | 7 | | matches | | 0 | "Her shoulder-length black hair clung damp from the rain, her bright blue eyes scanning the dim interior out of old habit—exit routes, sightlines, shadows that m…" | | 1 | "The girl who'd fled Cardiff with dreams of justice, of loudness, of love that didn't hurt." | | 2 | "Silas reached across, his hand shaking slightly, and covered her wrist—not holding, not comforting, just connecting." | | 3 | "She looked at him, really looked—at the grey-streaked hair, the trimmed beard, the limp, the ring, the eyes that had seen too many secrets." | | 4 | "Two old friends, separated by years they hadn't realised they'd lost, reunited in a bar that smelled of lies and old photographs." | | 5 | "She stood, smoothing her jacket, feeling the crescent scar pulse." | | 6 | "She walked toward the door, past the old maps and the black-and-white photographs, past the hidden bookshelf that led to rooms she wasn't ready to enter." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 94.44% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 2 | | fancyTags | | 0 | "He laughed (laugh)" | | 1 | "she admitted (admit)" |
| | dialogueSentences | 36 | | tagDensity | 0.194 | | leniency | 0.389 | | rawRatio | 0.286 | | effectiveRatio | 0.111 | |