| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 16 | | adverbTagCount | 1 | | adverbTags | | 0 | "She gestured helplessly [helplessly]" |
| | dialogueSentences | 34 | | tagDensity | 0.471 | | leniency | 0.941 | | rawRatio | 0.063 | | effectiveRatio | 0.059 | |
| 85.81% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1409 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "very" | | 1 | "slowly" | | 2 | "helplessly" | | 3 | "suddenly" |
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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) | |
| 50.32% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1409 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "flickered" | | 1 | "gloom" | | 2 | "anticipation" | | 3 | "familiar" | | 4 | "weight" | | 5 | "pulse" | | 6 | "etched" | | 7 | "traced" | | 8 | "silence" | | 9 | "unwavering" | | 10 | "warmth" | | 11 | "echoed" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 1 | | found | | 0 | | label | "let out a breath" | | count | 1 |
| | 1 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | 0 | "let out a breath" | | 1 | "eyes widened" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 109 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 109 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 128 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 33 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1398 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 21 | | wordCount | 1147 | | uniqueNames | 16 | | maxNameDensity | 0.26 | | worstName | "Cardiff" | | maxWindowNameDensity | 1 | | worstWindowName | "Silas" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Aurora | 1 | | Carter | 1 | | Silas | 2 | | Blackwood | 1 | | Cardiff | 3 | | University | 1 | | London | 2 | | Evan | 1 | | Years | 2 | | Three | 1 | | Yu-Fei | 1 | | Cheung | 1 | | Golden | 1 | | Empress | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Aurora" | | 3 | "Carter" | | 4 | "Silas" | | 5 | "Blackwood" | | 6 | "University" | | 7 | "Evan" | | 8 | "Years" | | 9 | "Yu-Fei" | | 10 | "Cheung" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 85.90% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 78 | | glossingSentenceCount | 2 | | matches | | 0 | "as if steeling himself for something" | | 1 | "seemed appropriate now" |
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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 | 1398 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 128 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 36 | | mean | 38.83 | | std | 25.92 | | cv | 0.667 | | sampleLengths | | 0 | 92 | | 1 | 78 | | 2 | 94 | | 3 | 69 | | 4 | 99 | | 5 | 10 | | 6 | 11 | | 7 | 61 | | 8 | 24 | | 9 | 30 | | 10 | 59 | | 11 | 38 | | 12 | 27 | | 13 | 26 | | 14 | 38 | | 15 | 73 | | 16 | 28 | | 17 | 28 | | 18 | 11 | | 19 | 14 | | 20 | 22 | | 21 | 44 | | 22 | 13 | | 23 | 60 | | 24 | 35 | | 25 | 20 | | 26 | 75 | | 27 | 21 | | 28 | 12 | | 29 | 19 | | 30 | 29 | | 31 | 20 | | 32 | 13 | | 33 | 37 | | 34 | 16 | | 35 | 52 |
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| 98.83% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 109 | | matches | | 0 | "were lined" | | 1 | "were brokered" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 226 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 11 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 128 | | ratio | 0.07 | | matches | | 0 | "The walls were lined with old maps—charting borders that had long since shifted—and black-and-white photographs, frozen moments of strangers who’d once passed through these doors." | | 1 | "He leaned on the counter with the slightest wince, favoring his right leg—the one with the old knee injury she’d heard about, though she hadn’t believed it until now." | | 2 | "She’d moved into the flat above this very bar—rumor said Silas owned it—but she’d never dared knock on his door." | | 3 | "He set the glass down with deliberate care—watching her." | | 4 | "She’d arrived prepared to explain, defend, apologize—none of it seemed appropriate now." | | 5 | "It carried a tremor—surprise, relief, something deeper she couldn’t name." | | 6 | "Its pale arc spoke of the accident that had shaped her childhood—so small, yet forever etched into her flesh." | | 7 | "The maps on the walls seemed less like relics and more like invitations—to redraw their map of friendship, to chart new territory." | | 8 | "Inside, time paused—two old friends reunited, scarred but unbroken, ready to bridge the gap between who they’d been and who they might yet become." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 524 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 20 | | adverbRatio | 0.03816793893129771 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.0057251908396946565 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 128 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 128 | | mean | 10.92 | | std | 7.06 | | cv | 0.646 | | sampleLengths | | 0 | 19 | | 1 | 27 | | 2 | 13 | | 3 | 33 | | 4 | 10 | | 5 | 25 | | 6 | 24 | | 7 | 5 | | 8 | 14 | | 9 | 21 | | 10 | 28 | | 11 | 29 | | 12 | 16 | | 13 | 3 | | 14 | 24 | | 15 | 19 | | 16 | 20 | | 17 | 3 | | 18 | 5 | | 19 | 8 | | 20 | 27 | | 21 | 12 | | 22 | 20 | | 23 | 27 | | 24 | 10 | | 25 | 2 | | 26 | 6 | | 27 | 3 | | 28 | 5 | | 29 | 15 | | 30 | 9 | | 31 | 8 | | 32 | 7 | | 33 | 17 | | 34 | 7 | | 35 | 5 | | 36 | 12 | | 37 | 6 | | 38 | 8 | | 39 | 10 | | 40 | 6 | | 41 | 15 | | 42 | 17 | | 43 | 8 | | 44 | 19 | | 45 | 12 | | 46 | 4 | | 47 | 7 | | 48 | 15 | | 49 | 14 |
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| 46.61% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.3125 | | totalSentences | 128 | | uniqueOpeners | 40 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 6 | | totalSentences | 104 | | matches | | 0 | "Maybe he thought she was" | | 1 | "Maybe he’d grown used to" | | 2 | "Then she saw his profile:" | | 3 | "Then he turned." | | 4 | "Nearly a year since she’d" | | 5 | "Then he offered her a" |
| | ratio | 0.058 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 65 | | totalSentences | 104 | | matches | | 0 | "She paused, shoulders tight, and" | | 1 | "She credited the door’s familiar" | | 2 | "He stood with his back" | | 3 | "His auburn hair, streaked with" | | 4 | "He leaned on the counter" | | 5 | "Her breath hitched." | | 6 | "She hadn’t seen Silas Blackwood" | | 7 | "She’d moved into the flat" | | 8 | "He didn’t turn at first." | | 9 | "She crossed the floor on" | | 10 | "Her voice tasted brittle, like" | | 11 | "His eyes widened, and the" | | 12 | "He set the glass down" | | 13 | "Her throat felt raw" | | 14 | "She’d arrived prepared to explain," | | 15 | "He swallowed, then nodded once," | | 16 | "His voice was softer than" | | 17 | "It carried a tremor—surprise, relief," | | 18 | "She tucked a strand of" | | 19 | "It fell to her shoulders" |
| | ratio | 0.625 | |
| 46.54% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 86 | | totalSentences | 104 | | matches | | 0 | "The green neon of The" | | 1 | "A low hum of conversation" | | 2 | "She paused, shoulders tight, and" | | 3 | "The smell of aged oak" | | 4 | "She credited the door’s familiar" | | 5 | "The walls were lined with" | | 6 | "A battered bookshelf in the" | | 7 | "Rory had never entered it." | | 8 | "Tonight, she barely took note," | | 9 | "He stood with his back" | | 10 | "His auburn hair, streaked with" | | 11 | "He leaned on the counter" | | 12 | "A silver signet ring caught" | | 13 | "Her breath hitched." | | 14 | "She hadn’t seen Silas Blackwood" | | 15 | "She’d moved into the flat" | | 16 | "He didn’t turn at first." | | 17 | "She crossed the floor on" | | 18 | "Her voice tasted brittle, like" | | 19 | "The glass paused at his" |
| | ratio | 0.827 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 104 | | matches | (empty) | | ratio | 0 | |
| 83.33% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 48 | | technicalSentenceCount | 4 | | matches | | 0 | "The smell of aged oak and polished brass settled in her chest, and for a moment she felt the hush of anticipation, as if she were stepping onto a stage after ye…" | | 1 | "The walls were lined with old maps—charting borders that had long since shifted—and black-and-white photographs, frozen moments of strangers who’d once passed t…" | | 2 | "His auburn hair, streaked with gray, fell in soft waves to his collar, and a neatly trimmed beard framed a face that had carried lines she only half-remembered." | | 3 | "Then she saw his profile: the strong line of his jaw, the furrow at his brow, the way his shoulders squared as if steeling himself for something." |
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| 93.75% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 16 | | uselessAdditionCount | 1 | | matches | | |
| 91.18% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 2 | | fancyTags | | 0 | "she confessed (confess)" | | 1 | "she whispered (whisper)" |
| | dialogueSentences | 34 | | tagDensity | 0.176 | | leniency | 0.353 | | rawRatio | 0.333 | | effectiveRatio | 0.118 | |