| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 21 | | adverbTagCount | 1 | | adverbTags | | | dialogueSentences | 43 | | tagDensity | 0.488 | | leniency | 0.977 | | rawRatio | 0.048 | | effectiveRatio | 0.047 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1557 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 67.89% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1557 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "weight" | | 1 | "familiar" | | 2 | "flicked" | | 3 | "silence" | | 4 | "standard" | | 5 | "traced" | | 6 | "could feel" |
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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 | 90 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 90 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 112 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 45 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1551 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 21 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 24 | | wordCount | 1256 | | uniqueNames | 11 | | maxNameDensity | 0.8 | | worstName | "Silas" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Silas" | | discoveredNames | | November | 1 | | Carter | 1 | | Blackwood | 1 | | Silas | 10 | | Evening | 1 | | Standard | 1 | | Prague | 2 | | Words | 1 | | Evan | 2 | | Nest | 1 | | Aurora | 3 |
| | persons | | 0 | "Carter" | | 1 | "Blackwood" | | 2 | "Silas" | | 3 | "Words" | | 4 | "Evan" | | 5 | "Aurora" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 68 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.645 | | wordCount | 1551 | | matches | | 0 | "not in refusal but in acknowledgment of the offer" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 112 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 49 | | mean | 31.65 | | std | 23.28 | | cv | 0.736 | | sampleLengths | | 0 | 89 | | 1 | 72 | | 2 | 69 | | 3 | 14 | | 4 | 40 | | 5 | 24 | | 6 | 20 | | 7 | 38 | | 8 | 18 | | 9 | 69 | | 10 | 53 | | 11 | 12 | | 12 | 34 | | 13 | 63 | | 14 | 40 | | 15 | 19 | | 16 | 25 | | 17 | 20 | | 18 | 53 | | 19 | 6 | | 20 | 35 | | 21 | 28 | | 22 | 13 | | 23 | 76 | | 24 | 15 | | 25 | 14 | | 26 | 13 | | 27 | 48 | | 28 | 12 | | 29 | 11 | | 30 | 71 | | 31 | 20 | | 32 | 1 | | 33 | 6 | | 34 | 50 | | 35 | 31 | | 36 | 5 | | 37 | 66 | | 38 | 7 | | 39 | 5 | | 40 | 33 | | 41 | 31 | | 42 | 17 | | 43 | 11 | | 44 | 56 | | 45 | 42 | | 46 | 3 | | 47 | 1 | | 48 | 52 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 90 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 217 | | matches | | |
| 15.31% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 112 | | ratio | 0.045 | | matches | | 0 | "The walls were still the same—old maps in mismatched frames, black-and-white photographs of alleys and riverbanks she’d spent years trying not to remember." | | 1 | "She remembered the story he’d never told her in full—the Prague operation, the jump, the knee that never healed right." | | 2 | "She could feel the gap of years stretching between the last time they’d spoken—three hurried messages, a burned SIM, an address she hadn’t used—and this evening, both of them changed in ways that had nothing to do with hair colour or scar tissue." | | 3 | "Aurora watched the drip catch the light and thought of all the nights she had replayed their last conversation in her head—the one where Silas told her to stop calling if she was going to keep secrets that could get them both killed." | | 4 | "The hazel was the same shade it had always been, but something behind it had shifted—patience worn thin by years of people who arrived already broken and left still broken." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1269 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 42 | | adverbRatio | 0.03309692671394799 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.004728132387706856 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 112 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 112 | | mean | 13.85 | | std | 9.29 | | cv | 0.671 | | sampleLengths | | 0 | 20 | | 1 | 20 | | 2 | 27 | | 3 | 22 | | 4 | 28 | | 5 | 21 | | 6 | 23 | | 7 | 27 | | 8 | 23 | | 9 | 19 | | 10 | 14 | | 11 | 3 | | 12 | 25 | | 13 | 7 | | 14 | 5 | | 15 | 3 | | 16 | 16 | | 17 | 5 | | 18 | 15 | | 19 | 5 | | 20 | 12 | | 21 | 15 | | 22 | 11 | | 23 | 13 | | 24 | 5 | | 25 | 10 | | 26 | 17 | | 27 | 42 | | 28 | 14 | | 29 | 20 | | 30 | 19 | | 31 | 6 | | 32 | 6 | | 33 | 3 | | 34 | 18 | | 35 | 13 | | 36 | 12 | | 37 | 13 | | 38 | 9 | | 39 | 10 | | 40 | 19 | | 41 | 12 | | 42 | 28 | | 43 | 7 | | 44 | 12 | | 45 | 16 | | 46 | 9 | | 47 | 2 | | 48 | 18 | | 49 | 10 |
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| 61.61% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.375 | | totalSentences | 112 | | uniqueOpeners | 42 | |
| 87.72% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 76 | | matches | | 0 | "Then the recognition landed, slow" | | 1 | "Then she stepped out into" |
| | ratio | 0.026 | |
| 35.79% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 35 | | totalSentences | 76 | | matches | | 0 | "She pulled the hood down," | | 1 | "She crossed the room in" | | 2 | "She stopped two stools away" | | 3 | "she said, voice pitched low" | | 4 | "He set the tumbler down." | | 5 | "She pulled the strap over" | | 6 | "he answered, the number precise" | | 7 | "He poured two fingers of" | | 8 | "She took the glass, turned" | | 9 | "He poured one for himself" | | 10 | "They drank in the same" | | 11 | "She remembered the story he’d" | | 12 | "she began, then stopped" | | 13 | "She set the glass down" | | 14 | "She didn’t finish" | | 15 | "She could feel the gap" | | 16 | "His hand rested on the" | | 17 | "She glanced at the maps," | | 18 | "She drank again, slower this" | | 19 | "She had walked past this" |
| | ratio | 0.461 | |
| 19.21% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 67 | | totalSentences | 76 | | matches | | 0 | "The door swung open on" | | 1 | "Aurora Carter stepped in, hood" | | 2 | "The green neon sign bled" | | 3 | "She pulled the hood down," | | 4 | "Silas Blackwood hadn’t lifted his" | | 5 | "The silver signet ring flashed" | | 6 | "She crossed the room in" | | 7 | "The walls were still the" | | 8 | "She stopped two stools away" | | 9 | "she said, voice pitched low" | | 10 | "Silas glanced up." | | 11 | "He set the tumbler down." | | 12 | "The name sounded smaller than" | | 13 | "She pulled the strap over" | | 14 | "he answered, the number precise" | | 15 | "He poured two fingers of" | | 16 | "She took the glass, turned" | | 17 | "He poured one for himself" | | 18 | "They drank in the same" | | 19 | "Silas’s left leg dragged the" |
| | ratio | 0.882 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 76 | | matches | (empty) | | ratio | 0 | |
| 57.14% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 50 | | technicalSentenceCount | 6 | | matches | | 0 | "Aurora Carter stepped in, hood still up, raindrops clinging to the straight black strands that curved just below her jaw." | | 1 | "She crossed the room in three strides, the heel of her boot quiet on the floorboards that had been worn smooth by generations of spies and dockworkers." | | 2 | "She could feel the gap of years stretching between the last time they’d spoken—three hurried messages, a burned SIM, an address she hadn’t used—and this evening…" | | 3 | "The hazel was the same shade it had always been, but something behind it had shifted—patience worn thin by years of people who arrived already broken and left s…" | | 4 | "The bar noise continued around them, small and ordinary, the kind of sound that filled the spaces left by people who once knew each other better than they knew …" | | 5 | "Then she stepped out into the rain, and the door swung shut behind her, leaving the green neon to reflect on the wet pavement and the quiet authority of a man w…" |
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| 77.38% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 21 | | uselessAdditionCount | 2 | | matches | | 0 | "His hand rested, the signet ring catching the light again" | | 1 | "he said, voice low enough that only she could hear," |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 15 | | fancyCount | 2 | | fancyTags | | 0 | "he admitted (admit)" | | 1 | "he observed (observe)" |
| | dialogueSentences | 43 | | tagDensity | 0.349 | | leniency | 0.698 | | rawRatio | 0.133 | | effectiveRatio | 0.093 | |