| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 1 | | adverbTags | | 0 | "Silas said softly [softly]" |
| | dialogueSentences | 29 | | tagDensity | 0.448 | | leniency | 0.897 | | rawRatio | 0.077 | | effectiveRatio | 0.069 | |
| 79.37% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1454 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "slightly" | | 1 | "very" | | 2 | "softly" | | 3 | "suddenly" | | 4 | "really" |
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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) | |
| 44.98% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1454 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "fractured" | | 1 | "electric" | | 2 | "familiar" | | 3 | "navigated" | | 4 | "silence" | | 5 | "weight" | | 6 | "tracing" | | 7 | "tenderness" | | 8 | "reminder" | | 9 | "potential" | | 10 | "tension" | | 11 | "navigating" | | 12 | "unspoken" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 61 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 61 | | filterMatches | (empty) | | hedgeMatches | | |
| 94.49% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 77 | | gibberishSentences | 1 | | adjustedGibberishSentences | 1 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 61 | | ratio | 0.013 | | matches | | 0 | "\"I'm safe here,\" she countered, her voice硬ening." |
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| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1450 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 44 | | wordCount | 1054 | | uniqueNames | 18 | | maxNameDensity | 1.23 | | worstName | "Silas" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Silas" | | discoveredNames | | Soho | 2 | | Carter | 2 | | Raven | 1 | | Nest | 1 | | Tuesday | 1 | | Silas | 13 | | Blackwood | 1 | | Yu-Fei | 2 | | Golden | 1 | | Empress | 1 | | Prague | 2 | | Aurora | 9 | | Cardiff | 2 | | Evan | 2 | | London | 1 | | Brendan | 1 | | Jennifer | 1 | | Wales | 1 |
| | persons | | 0 | "Carter" | | 1 | "Raven" | | 2 | "Nest" | | 3 | "Silas" | | 4 | "Blackwood" | | 5 | "Yu-Fei" | | 6 | "Empress" | | 7 | "Aurora" | | 8 | "Evan" | | 9 | "Brendan" | | 10 | "Jennifer" |
| | places | | 0 | "Soho" | | 1 | "Prague" | | 2 | "Cardiff" | | 3 | "London" | | 4 | "Wales" |
| | globalScore | 0.883 | | windowScore | 0.833 | |
| 60.71% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 56 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like they knew too much, seemed to" | | 1 | "felt like a taut wire ready to snap" |
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| 62.07% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.379 | | wordCount | 1450 | | matches | | 0 | "not what I planned, but it's mine" | | 1 | "not just the broken agent with the limp, but the mentor who had never actually given up on her" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 77 | | matches | (empty) | |
| 97.54% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 28 | | mean | 51.79 | | std | 25.45 | | cv | 0.491 | | sampleLengths | | 0 | 82 | | 1 | 93 | | 2 | 62 | | 3 | 101 | | 4 | 47 | | 5 | 26 | | 6 | 46 | | 7 | 26 | | 8 | 65 | | 9 | 18 | | 10 | 48 | | 11 | 51 | | 12 | 68 | | 13 | 28 | | 14 | 45 | | 15 | 10 | | 16 | 83 | | 17 | 86 | | 18 | 30 | | 19 | 89 | | 20 | 58 | | 21 | 65 | | 22 | 13 | | 23 | 55 | | 24 | 54 | | 25 | 11 | | 26 | 36 | | 27 | 54 |
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| 99.51% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 61 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 165 | | matches | | 0 | "was still trying" | | 1 | "was nursing" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 3 | | flaggedSentences | 4 | | totalSentences | 77 | | ratio | 0.052 | | matches | | 0 | "The rain in Soho didn't wash things clean; it just made the grime slicker, turning the pavement into a black mirror that fractured the city's neon heartbeat." | | 1 | "He didn't run a place for rowdy students or tourists looking for a pint; he ran a listening post disguised as a pub." | | 2 | "She wasn't here for a delivery tonight; Yu-Fei's Golden Empress had closed early, and the flat above the bar felt too small, too filled with the ghost of a life she was still trying to outrun." | | 3 | "The tension between who she had been—the promising scholar, the hopeful friend—and who she was now—the wary survivor, the delivery girl—felt like a taut wire ready to snap." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1067 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 39 | | adverbRatio | 0.03655107778819119 | | lyAdverbCount | 18 | | lyAdverbRatio | 0.016869728209934397 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 77 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 77 | | mean | 18.83 | | std | 11.87 | | cv | 0.63 | | sampleLengths | | 0 | 27 | | 1 | 23 | | 2 | 32 | | 3 | 26 | | 4 | 15 | | 5 | 23 | | 6 | 29 | | 7 | 15 | | 8 | 36 | | 9 | 11 | | 10 | 4 | | 11 | 29 | | 12 | 24 | | 13 | 21 | | 14 | 23 | | 15 | 15 | | 16 | 32 | | 17 | 16 | | 18 | 10 | | 19 | 8 | | 20 | 27 | | 21 | 11 | | 22 | 16 | | 23 | 10 | | 24 | 11 | | 25 | 54 | | 26 | 11 | | 27 | 5 | | 28 | 2 | | 29 | 12 | | 30 | 26 | | 31 | 10 | | 32 | 12 | | 33 | 39 | | 34 | 20 | | 35 | 10 | | 36 | 28 | | 37 | 10 | | 38 | 12 | | 39 | 16 | | 40 | 7 | | 41 | 11 | | 42 | 27 | | 43 | 7 | | 44 | 3 | | 45 | 22 | | 46 | 61 | | 47 | 6 | | 48 | 31 | | 49 | 31 |
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| 50.65% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.35064935064935066 | | totalSentences | 77 | | uniqueOpeners | 27 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 61 | | matches | (empty) | | ratio | 0 | |
| 42.95% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 27 | | totalSentences | 61 | | matches | | 0 | "It was quiet for a" | | 1 | "He didn't run a place" | | 2 | "She wasn't here for a" | | 3 | "She needed the noise, or" | | 4 | "She spotted him immediately." | | 5 | "He was nursing a glass" | | 6 | "His grey-streaked auburn hair was" | | 7 | "He looked up as she" | | 8 | "he said, his voice a" | | 9 | "She felt suddenly exposed, her" | | 10 | "She slid into the booth," | | 11 | "His gaze was clinical, dissecting." | | 12 | "Her fingers brushed the small" | | 13 | "He set his glass down" | | 14 | "She had built a life" | | 15 | "she whispered, the words tasting" | | 16 | "she countered, her voice硬ening" | | 17 | "They were rougher now, stained" | | 18 | "She thought of her mother" | | 19 | "she asked, the frustration finally" |
| | ratio | 0.443 | |
| 0.98% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 56 | | totalSentences | 61 | | matches | | 0 | "The rain in Soho didn't" | | 1 | "Aurora Carter pushed through the" | | 2 | "The distinctive green neon sign" | | 3 | "The air in the bar" | | 4 | "It was quiet for a" | | 5 | "He didn't run a place" | | 6 | "The walls, papered in peeling" | | 7 | "Aurora navigated the room with" | | 8 | "She wasn't here for a" | | 9 | "She needed the noise, or" | | 10 | "She spotted him immediately." | | 11 | "Silas sat in his usual" | | 12 | "He was nursing a glass" | | 13 | "The injury from Prague, the" | | 14 | "His grey-streaked auburn hair was" | | 15 | "He looked up as she" | | 16 | "he said, his voice a" | | 17 | "Aurora stopped at the edge" | | 18 | "She felt suddenly exposed, her" | | 19 | "Silas gestured to the seat" |
| | ratio | 0.918 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 61 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 43 | | technicalSentenceCount | 9 | | matches | | 0 | "The rain in Soho didn't wash things clean; it just made the grime slicker, turning the pavement into a black mirror that fractured the city's neon heartbeat." | | 1 | "The walls, papered in peeling maps of forgotten empires and black-and-white photographs of men who looked like they knew too much, seemed to lean in, absorbing …" | | 2 | "Silas sat in his usual corner booth, the one shielded by a towering stack of encyclopedias that served as a poor disguise for the hidden bookshelf door behind i…" | | 3 | "His grey-streaked auburn hair was combated back, and his beard, neatly trimmed, framed a face that had settled into lines of permanent assessment." | | 4 | "For a heartbeat, the mask of the retired spymaster slipped, revealing the man who had once watched a teenager study law textbooks at this very table while he sm…" | | 5 | "At twenty-five, she felt older than the boy she had been when she first started coming here, yet in Silas's presence, she shrank back into that frightened girl …" | | 6 | "The jazz track changed, a slower, melancholic saxophone filling the silence that followed." | | 7 | "He signaled to the bartender, a young man who knew better than to ask questions." | | 8 | "Aurora watched him, really watched him, seeing not just the broken agent with the limp, but the mentor who had never actually given up on her." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 4 | | matches | | 0 | "she countered, her voice硬ening" | | 1 | "she asked, the frustration finally bleeding through" | | 2 | "she admitted, her voice barely audible" | | 3 | "she said, the word feeling foreign but necessary" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 5 | | fancyTags | | 0 | "Silas noted (note)" | | 1 | "she whispered (whisper)" | | 2 | "Silas murmured (murmur)" | | 3 | "Silas corrected (correct)" | | 4 | "she admitted (admit)" |
| | dialogueSentences | 29 | | tagDensity | 0.31 | | leniency | 0.621 | | rawRatio | 0.556 | | effectiveRatio | 0.345 | |