| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 52 | | tagDensity | 0.096 | | leniency | 0.192 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 86.86% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1522 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "slowly" | | 1 | "loosely" | | 2 | "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) | |
| 37.58% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1522 | | totalAiIsms | 19 | | found | | | highlights | | 0 | "chill" | | 1 | "gloom" | | 2 | "weight" | | 3 | "tracing" | | 4 | "charged" | | 5 | "searing" | | 6 | "stomach" | | 7 | "silence" | | 8 | "rhythmic" | | 9 | "traced" | | 10 | "unreadable" | | 11 | "sense of" | | 12 | "familiar" | | 13 | "firmly" |
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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 | 99 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 99 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 146 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 36 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1511 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 25 | | wordCount | 1078 | | uniqueNames | 10 | | maxNameDensity | 1.02 | | worstName | "Silas" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Silas" | | discoveredNames | | Soho | 1 | | Raven | 1 | | Nest | 1 | | London | 2 | | Blackwood | 1 | | Silas | 11 | | Brendan | 1 | | Rory | 1 | | Evan | 1 | | Aurora | 5 |
| | persons | | 0 | "Raven" | | 1 | "Blackwood" | | 2 | "Silas" | | 3 | "Brendan" | | 4 | "Rory" | | 5 | "Evan" | | 6 | "Aurora" |
| | places | | | globalScore | 0.99 | | windowScore | 0.833 | |
| 79.58% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 71 | | glossingSentenceCount | 2 | | matches | | 0 | "melancholic that seemed to hang in the rafters with the dust" | | 1 | "not quite a laugh" |
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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 | 1511 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 146 | | matches | | 0 | "needed that heat" | | 1 | "Admitting that the" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 75 | | mean | 20.15 | | std | 18.92 | | cv | 0.939 | | sampleLengths | | 0 | 54 | | 1 | 87 | | 2 | 24 | | 3 | 3 | | 4 | 24 | | 5 | 21 | | 6 | 60 | | 7 | 3 | | 8 | 12 | | 9 | 54 | | 10 | 19 | | 11 | 12 | | 12 | 3 | | 13 | 11 | | 14 | 23 | | 15 | 3 | | 16 | 39 | | 17 | 4 | | 18 | 45 | | 19 | 2 | | 20 | 5 | | 21 | 11 | | 22 | 42 | | 23 | 27 | | 24 | 5 | | 25 | 8 | | 26 | 72 | | 27 | 19 | | 28 | 32 | | 29 | 3 | | 30 | 1 | | 31 | 63 | | 32 | 23 | | 33 | 10 | | 34 | 13 | | 35 | 6 | | 36 | 3 | | 37 | 34 | | 38 | 15 | | 39 | 1 | | 40 | 9 | | 41 | 14 | | 42 | 16 | | 43 | 9 | | 44 | 2 | | 45 | 2 | | 46 | 42 | | 47 | 28 | | 48 | 2 | | 49 | 5 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 99 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 183 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 146 | | ratio | 0.007 | | matches | | 0 | "He signalled the barback—a gangly kid in an apron who looked terrified of him—to take over the taps." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1086 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small, crescent-shaped scar" |
| | adverbCount | 27 | | adverbRatio | 0.024861878453038673 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.010128913443830571 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 146 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 146 | | mean | 10.35 | | std | 7.29 | | cv | 0.704 | | sampleLengths | | 0 | 23 | | 1 | 3 | | 2 | 17 | | 3 | 11 | | 4 | 12 | | 5 | 20 | | 6 | 22 | | 7 | 4 | | 8 | 29 | | 9 | 10 | | 10 | 14 | | 11 | 3 | | 12 | 11 | | 13 | 13 | | 14 | 2 | | 15 | 14 | | 16 | 5 | | 17 | 13 | | 18 | 19 | | 19 | 12 | | 20 | 16 | | 21 | 3 | | 22 | 9 | | 23 | 1 | | 24 | 2 | | 25 | 9 | | 26 | 18 | | 27 | 3 | | 28 | 3 | | 29 | 21 | | 30 | 19 | | 31 | 12 | | 32 | 3 | | 33 | 9 | | 34 | 2 | | 35 | 7 | | 36 | 16 | | 37 | 3 | | 38 | 16 | | 39 | 5 | | 40 | 4 | | 41 | 14 | | 42 | 4 | | 43 | 8 | | 44 | 28 | | 45 | 4 | | 46 | 5 | | 47 | 2 | | 48 | 5 | | 49 | 11 |
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| 37.67% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 20 | | diversityRatio | 0.3082191780821918 | | totalSentences | 146 | | uniqueOpeners | 45 | |
| 35.84% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 93 | | matches | | 0 | "Then, a small, genuine smile" |
| | ratio | 0.011 | |
| 4.95% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 50 | | totalSentences | 93 | | matches | | 0 | "She shook the water from" | | 1 | "She needed a drink." | | 2 | "She sat on a stool" | | 3 | "It scraped against her memory," | | 4 | "Her hand, halfway to pulling" | | 5 | "She turned her head slowly." | | 6 | "His hair was auburn streaked" | | 7 | "He moved with a deliberate," | | 8 | "His hazel eyes, sharp and" | | 9 | "He didn't smile." | | 10 | "He didn't gasp." | | 11 | "He just looked, his gaze" | | 12 | "He reached for a bottle" | | 13 | "She watched the amber liquid" | | 14 | "He limped around the end" | | 15 | "He didn't offer his hand." | | 16 | "He didn't need to." | | 17 | "It was the name he" | | 18 | "He signalled the barback—a gangly" | | 19 | "She needed that heat." |
| | ratio | 0.538 | |
| 19.14% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 82 | | totalSentences | 93 | | matches | | 0 | "Rain slicked the Soho cobblestones," | | 1 | "The Raven’s Nest." | | 2 | "A pretentious name for a" | | 3 | "Aurora pushed the heavy oak" | | 4 | "The air inside smelled of" | | 5 | "She shook the water from" | | 6 | "She needed a drink." | | 7 | "Something to burn away the" | | 8 | "She sat on a stool" | | 9 | "The bar top was polished" | | 10 | "The voice was gravel and" | | 11 | "It scraped against her memory," | | 12 | "Her hand, halfway to pulling" | | 13 | "She turned her head slowly." | | 14 | "The man behind the bar" | | 15 | "His hair was auburn streaked" | | 16 | "A beard, neatly trimmed, framed" | | 17 | "He moved with a deliberate," | | 18 | "The words tumbled out before" | | 19 | "Silas Blackwood paused, the cloth" |
| | ratio | 0.882 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 93 | | matches | | 0 | "Before she became Rory." | | 1 | "Before she became anyone else." | | 2 | "When they were alone again," |
| | ratio | 0.032 | |
| 99.13% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 49 | | technicalSentenceCount | 3 | | matches | | 0 | "Low jazz curled from the speakers, something slow and melancholic that seemed to hang in the rafters with the dust." | | 1 | "Something to burn away the lingering adrenaline of the move, the endless boxes, the crushing weight of a city that felt too large and too small all at once." | | 2 | "He just looked, his gaze dissecting her face, tracing the new lines in her forehead, the sharper angle of her cheekbones." |
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| 25.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 1 | | matches | | 0 | "Silas stood, his knee popping loudly" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 52 | | tagDensity | 0.038 | | leniency | 0.077 | | rawRatio | 0 | | effectiveRatio | 0 | |