| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 19 | | adverbTagCount | 2 | | adverbTags | | 0 | "she asked quietly [quietly]" | | 1 | "she said finally [finally]" |
| | dialogueSentences | 54 | | tagDensity | 0.352 | | leniency | 0.704 | | rawRatio | 0.105 | | effectiveRatio | 0.074 | |
| 71.59% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1408 | | totalAiIsmAdverbs | 8 | | found | | | highlights | | 0 | "softly" | | 1 | "really" | | 2 | "slightly" | | 3 | "slowly" | | 4 | "carefully" |
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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) | |
| 53.84% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1408 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "warmth" | | 1 | "scanned" | | 2 | "familiar" | | 3 | "echoing" | | 4 | "flickered" | | 5 | "measured" | | 6 | "echoed" | | 7 | "encounter" | | 8 | "whisper" | | 9 | "jaw clenched" | | 10 | "etched" | | 11 | "potential" | | 12 | "desire" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "jaw/fists clenched" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 72 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 72 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 107 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 54 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1402 | | ratio | 0 | | matches | (empty) | |
| 89.29% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 1 | | matches | | 0 | "For a long moment, he said nothing, his hand freezing halfway through another circular motion with the bar towel." |
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| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 11 | | wordCount | 952 | | uniqueNames | 8 | | maxNameDensity | 0.42 | | worstName | "Aurora" | | maxWindowNameDensity | 1 | | worstWindowName | "Aurora" | | discoveredNames | | Aurora | 4 | | Raven | 1 | | Nest | 1 | | Soho | 1 | | Golden | 1 | | Empress | 1 | | Cardiff | 1 | | Evan | 1 |
| | persons | | | places | | 0 | "Soho" | | 1 | "Golden" | | 2 | "Cardiff" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 63 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1402 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 107 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 52 | | mean | 26.96 | | std | 20.73 | | cv | 0.769 | | sampleLengths | | 0 | 78 | | 1 | 58 | | 2 | 59 | | 3 | 15 | | 4 | 31 | | 5 | 5 | | 6 | 16 | | 7 | 18 | | 8 | 4 | | 9 | 30 | | 10 | 43 | | 11 | 4 | | 12 | 31 | | 13 | 8 | | 14 | 36 | | 15 | 80 | | 16 | 18 | | 17 | 25 | | 18 | 44 | | 19 | 15 | | 20 | 15 | | 21 | 30 | | 22 | 30 | | 23 | 13 | | 24 | 17 | | 25 | 19 | | 26 | 4 | | 27 | 52 | | 28 | 14 | | 29 | 41 | | 30 | 3 | | 31 | 2 | | 32 | 30 | | 33 | 71 | | 34 | 10 | | 35 | 31 | | 36 | 25 | | 37 | 1 | | 38 | 55 | | 39 | 56 | | 40 | 5 | | 41 | 52 | | 42 | 34 | | 43 | 8 | | 44 | 38 | | 45 | 38 | | 46 | 8 | | 47 | 2 | | 48 | 13 | | 49 | 7 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 72 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 171 | | matches | | |
| 89.45% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 107 | | ratio | 0.019 | | matches | | 0 | "Lines etched themselves around his eyes, his mouth, his brow—all the marks of someone who'd seen too much and lived to regret it." | | 1 | "For now, there was only this moment—this chance to bridge the gap between who they'd been and who they'd become." |
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| 96.92% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 959 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 40 | | adverbRatio | 0.04171011470281543 | | lyAdverbCount | 21 | | lyAdverbRatio | 0.021897810218978103 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 107 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 107 | | mean | 13.1 | | std | 9.31 | | cv | 0.711 | | sampleLengths | | 0 | 32 | | 1 | 18 | | 2 | 28 | | 3 | 13 | | 4 | 18 | | 5 | 27 | | 6 | 13 | | 7 | 30 | | 8 | 16 | | 9 | 6 | | 10 | 9 | | 11 | 12 | | 12 | 8 | | 13 | 11 | | 14 | 5 | | 15 | 4 | | 16 | 12 | | 17 | 16 | | 18 | 2 | | 19 | 4 | | 20 | 15 | | 21 | 15 | | 22 | 7 | | 23 | 8 | | 24 | 21 | | 25 | 7 | | 26 | 4 | | 27 | 23 | | 28 | 8 | | 29 | 2 | | 30 | 6 | | 31 | 21 | | 32 | 15 | | 33 | 5 | | 34 | 1 | | 35 | 7 | | 36 | 30 | | 37 | 22 | | 38 | 15 | | 39 | 18 | | 40 | 14 | | 41 | 11 | | 42 | 7 | | 43 | 22 | | 44 | 6 | | 45 | 9 | | 46 | 15 | | 47 | 13 | | 48 | 2 | | 49 | 16 |
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| 96.26% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.5887850467289719 | | totalSentences | 107 | | uniqueOpeners | 63 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 70 | | matches | (empty) | | ratio | 0 | |
| 37.14% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 32 | | totalSentences | 70 | | matches | | 0 | "She'd walked past this place" | | 1 | "She pushed inside, shaking water" | | 2 | "He was older than she" | | 3 | "She arched a brow." | | 4 | "His movements remained measured, controlled" | | 5 | "He set down the glass" | | 6 | "She glanced up, meeting his" | | 7 | "He gestured toward her uniform" | | 8 | "He poured two fingers of" | | 9 | "She'd left Cardiff three years" | | 10 | "she echoed, taking a sip" | | 11 | "He slid her glass across" | | 12 | "She studied him then, really" | | 13 | "His expression didn't change, but" | | 14 | "She leaned forward slightly, her" | | 15 | "His voice came out rough," | | 16 | "She set her glass down" | | 17 | "He let out a humorless" | | 18 | "Her fingers curled around her" | | 19 | "He paused, studying her profile" |
| | ratio | 0.457 | |
| 60.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 56 | | totalSentences | 70 | | matches | | 0 | "The first thing Aurora noticed" | | 1 | "She'd walked past this place" | | 2 | "She pushed inside, shaking water" | | 3 | "The scent of aged wood" | | 4 | "The bartender looked up from" | | 5 | "He was older than she" | | 6 | "A slight limp became apparent" | | 7 | "Aurora nodded, approaching the mahogany" | | 8 | "Something in his expression shifted," | | 9 | "Recognition flickered across his features" | | 10 | "She arched a brow." | | 11 | "His movements remained measured, controlled" | | 12 | "He set down the glass" | | 13 | "That stopped her mid-reach for" | | 14 | "She glanced up, meeting his" | | 15 | "He gestured toward her uniform" | | 16 | "He poured two fingers of" | | 17 | "Something tightened in Aurora's chest." | | 18 | "That was one way to" | | 19 | "She'd left Cardiff three years" |
| | ratio | 0.8 | |
| 71.43% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 70 | | matches | | 0 | "Now he looked older, weathered" |
| | ratio | 0.014 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 35 | | technicalSentenceCount | 8 | | matches | | 0 | "Old maps lined the walls alongside black-and-white photographs, creating a atmosphere that felt both foreign and somehow familiar." | | 1 | "He was older than she expected, with hazel eyes that seemed to take in every detail, grey-streaked auburn hair neatly trimmed, and a silver signet ring that cau…" | | 2 | "There was intelligence there, sharp and probing, the kind that belonged to someone who'd spent years reading people for a living." | | 3 | "She'd left Cardiff three years ago, fleeing an ex-boyfriend who'd turned possessive and violent, carrying nothing but a duffel bag and a promise to her mother t…" | | 4 | "London had been both salvation and purgatory, delivering her to jobs that barely paid rent and relationships that fizzled before they began." | | 5 | "She stared at his hand where it rested so casually on the wood, remembering all those evenings spent at their family dinner table, him laughing with her parents…" | | 6 | "Now he looked older, weathered in ways that went beyond simple aging." | | 7 | "Lines etched themselves around his eyes, his mouth, his brow—all the marks of someone who'd seen too much and lived to regret it." |
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| 46.05% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 19 | | uselessAdditionCount | 3 | | matches | | 0 | "The bartender looked up, his expression neutral but observant" | | 1 | "He poured, the liquid catching the light" | | 2 | "She leaned, her voice dropping to a whisper" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 54 | | tagDensity | 0.037 | | leniency | 0.074 | | rawRatio | 0 | | effectiveRatio | 0 | |