| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 1 | | adverbTags | | 0 | "Callum looked around [around]" |
| | dialogueSentences | 64 | | tagDensity | 0.141 | | leniency | 0.281 | | rawRatio | 0.111 | | effectiveRatio | 0.031 | |
| 91.05% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1676 | | totalAiIsmAdverbs | 3 | | found | | 0 | | adverb | "passionately" | | count | 1 |
| | 1 | | | 2 | |
| | highlights | | 0 | "passionately" | | 1 | "suddenly" | | 2 | "quickly" |
| |
| 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) | |
| 70.17% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1676 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "shattered" | | 1 | "velvet" | | 2 | "weight" | | 3 | "flicked" | | 4 | "crystal" | | 5 | "silence" | | 6 | "stomach" | | 7 | "synthetic" | | 8 | "familiar" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "stomach dropped/sank" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 78 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 78 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 131 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 42 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1674 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 53 | | wordCount | 1016 | | uniqueNames | 17 | | maxNameDensity | 1.77 | | worstName | "Callum" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Callum" | | discoveredNames | | Aurora | 14 | | Cardiff | 1 | | Callum | 18 | | Golden | 1 | | Empress | 1 | | Silas | 5 | | Berlin | 1 | | Prague | 1 | | Raven | 2 | | Nest | 2 | | Carter | 1 | | Brendan | 1 | | Welsh | 1 | | Fitzrovia | 1 | | Soho | 1 | | Shaftesbury | 1 | | Avenue | 1 |
| | persons | | 0 | "Aurora" | | 1 | "Callum" | | 2 | "Silas" | | 3 | "Raven" | | 4 | "Nest" | | 5 | "Carter" | | 6 | "Brendan" |
| | places | | 0 | "Cardiff" | | 1 | "Golden" | | 2 | "Berlin" | | 3 | "Prague" | | 4 | "Fitzrovia" | | 5 | "Soho" | | 6 | "Shaftesbury" | | 7 | "Avenue" |
| | globalScore | 0.614 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 64 | | glossingSentenceCount | 1 | | matches | | 0 | "tasted like a burnt peat bog" |
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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 | 1674 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 131 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 74 | | mean | 22.62 | | std | 22.14 | | cv | 0.979 | | sampleLengths | | 0 | 15 | | 1 | 54 | | 2 | 7 | | 3 | 9 | | 4 | 9 | | 5 | 4 | | 6 | 83 | | 7 | 52 | | 8 | 85 | | 9 | 39 | | 10 | 2 | | 11 | 2 | | 12 | 13 | | 13 | 6 | | 14 | 12 | | 15 | 33 | | 16 | 2 | | 17 | 46 | | 18 | 6 | | 19 | 8 | | 20 | 7 | | 21 | 30 | | 22 | 6 | | 23 | 39 | | 24 | 11 | | 25 | 58 | | 26 | 13 | | 27 | 7 | | 28 | 43 | | 29 | 28 | | 30 | 3 | | 31 | 6 | | 32 | 6 | | 33 | 5 | | 34 | 29 | | 35 | 76 | | 36 | 2 | | 37 | 2 | | 38 | 78 | | 39 | 22 | | 40 | 9 | | 41 | 11 | | 42 | 4 | | 43 | 36 | | 44 | 10 | | 45 | 3 | | 46 | 25 | | 47 | 4 | | 48 | 19 | | 49 | 12 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 78 | | matches | | |
| 61.11% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 144 | | matches | | 0 | "was staring" | | 1 | "wasn't looking" | | 2 | "was delivering" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 131 | | ratio | 0.008 | | matches | | 0 | "\"I want you to stay ghosts, Rory.\" Callum leaned across the bar, his expensive cologne—cedar and something sharp, synthetic—overpowering the smell of the beer taps." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1025 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 26 | | adverbRatio | 0.025365853658536587 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.00975609756097561 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 131 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 131 | | mean | 12.78 | | std | 8.79 | | cv | 0.687 | | sampleLengths | | 0 | 15 | | 1 | 19 | | 2 | 20 | | 3 | 7 | | 4 | 8 | | 5 | 7 | | 6 | 9 | | 7 | 9 | | 8 | 4 | | 9 | 20 | | 10 | 2 | | 11 | 24 | | 12 | 19 | | 13 | 18 | | 14 | 18 | | 15 | 21 | | 16 | 13 | | 17 | 13 | | 18 | 16 | | 19 | 12 | | 20 | 14 | | 21 | 8 | | 22 | 22 | | 23 | 6 | | 24 | 15 | | 25 | 18 | | 26 | 2 | | 27 | 2 | | 28 | 13 | | 29 | 6 | | 30 | 12 | | 31 | 17 | | 32 | 16 | | 33 | 2 | | 34 | 10 | | 35 | 9 | | 36 | 12 | | 37 | 15 | | 38 | 6 | | 39 | 8 | | 40 | 7 | | 41 | 17 | | 42 | 7 | | 43 | 6 | | 44 | 6 | | 45 | 22 | | 46 | 4 | | 47 | 13 | | 48 | 11 | | 49 | 13 |
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| 57.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.37404580152671757 | | totalSentences | 131 | | uniqueOpeners | 49 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 74 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 18 | | totalSentences | 74 | | matches | | 0 | "She froze, her left wrist" | | 1 | "He did not look at" | | 2 | "He stared directly into her" | | 3 | "She dumped the broken glass" | | 4 | "She unzipped it halfway, suddenly" | | 5 | "He leaned his weight off" | | 6 | "His hazel eyes flicked from" | | 7 | "She reached for the green" | | 8 | "He used to complain that" | | 9 | "She poured two fingers of" | | 10 | "His fingernails were manicured, the" | | 11 | "He lifted the glass, inhaling" | | 12 | "He did not wince." | | 13 | "His gaze lingered on the" | | 14 | "It was a subterranean cavern" | | 15 | "His eyes were hollow, dark" | | 16 | "He set the glass down" | | 17 | "He just closed his eyes." |
| | ratio | 0.243 | |
| 20.81% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 65 | | totalSentences | 74 | | matches | | 0 | "The heavy glass tumbler slipped" | | 1 | "She froze, her left wrist" | | 2 | "He did not look at" | | 3 | "He stared directly into her" | | 4 | "Aurora crouched to gather the" | | 5 | "The coat he wore now" | | 6 | "She dumped the broken glass" | | 7 | "The scent of fried garlic" | | 8 | "She unzipped it halfway, suddenly" | | 9 | "He leaned his weight off" | | 10 | "His hazel eyes flicked from" | | 11 | "Silas tapped his silver signet" | | 12 | "Aurora gave a microscopic shake" | | 13 | "Silas did not move far," | | 14 | "Callum slid onto a leather" | | 15 | "The movement was fluid, practiced," | | 16 | "A heavy gold watch caught" | | 17 | "Aurora grabbed a fresh tumbler" | | 18 | "She reached for the green" | | 19 | "Callum used to gag on" |
| | ratio | 0.878 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 74 | | matches | (empty) | | ratio | 0 | |
| 93.02% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 43 | | technicalSentenceCount | 3 | | matches | | 0 | "The polished lawyer veneer cracked for a fraction of a second, revealing the boy who used to bite his lip before a moot court debate." | | 1 | "Down the bar, a customer laughed, a wet, barking sound that died quickly in the low-ceilinged room." | | 2 | "Jennifer Carter, with her chalk-stained fingers and quiet sighs, who used to slip twenty-pound notes into Aurora’s coat pockets when Brendan wasn't looking." |
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| 69.44% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 1 | | matches | | 0 | "Callum said, his voice dropping to a murmur" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | 0 | "Callum whispered (whisper)" |
| | dialogueSentences | 64 | | tagDensity | 0.031 | | leniency | 0.063 | | rawRatio | 0.5 | | effectiveRatio | 0.031 | |