| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 92.18% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1278 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 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) | |
| 37.40% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1278 | | totalAiIsms | 16 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | word | "down her spine" | | count | 1 |
| | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | |
| | highlights | | 0 | "electric" | | 1 | "weight" | | 2 | "gloom" | | 3 | "scanning" | | 4 | "down her spine" | | 5 | "stomach" | | 6 | "familiar" | | 7 | "tracing" | | 8 | "shattered" | | 9 | "tension" | | 10 | "predator" | | 11 | "whisper" | | 12 | "silence" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "let out a breath" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 91 | | matches | (empty) | |
| 80.06% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 2 | | narrationSentences | 91 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 91 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 39 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1274 | | ratio | 0 | | matches | (empty) | |
| 15.63% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 16 | | unquotedAttributions | 7 | | matches | | 0 | "The bike broke down on Shaftesbury Avenue, she said, shrugging off her damp jacket." | | 1 | "I was told I might find a familiar face in London, Evan said, sliding onto a stool three seats away from her." | | 2 | "The world is smaller than you intended it to be, he replied." | | 3 | "You look the same, he insisted, leaning in." | | 4 | "Wait, Evan said, sounding genuinely surprised." | | 5 | "We have nothing to catch up on, Evan, she said, looking at him with a detachment that she hoped stung." | | 6 | "The bar is closing, Silas told him, his voice low and vibrating with a command that left no room for argument." |
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| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 60 | | wordCount | 1274 | | uniqueNames | 19 | | maxNameDensity | 0.94 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Raven | 1 | | Nest | 2 | | Soho | 2 | | Tuesday | 1 | | Shaftesbury | 1 | | Avenue | 1 | | Golden | 1 | | Empress | 1 | | Rory | 12 | | Cardiff | 3 | | Evan | 12 | | London | 2 | | Silas | 10 | | Laila | 2 | | Kung | 1 | | Pao | 1 | | Underground | 1 | | Wales | 1 | | You | 5 |
| | persons | | 0 | "Nest" | | 1 | "Empress" | | 2 | "Rory" | | 3 | "Evan" | | 4 | "Silas" | | 5 | "Laila" | | 6 | "You" |
| | places | | 0 | "Raven" | | 1 | "Soho" | | 2 | "Shaftesbury" | | 3 | "Avenue" | | 4 | "Cardiff" | | 5 | "London" | | 6 | "Wales" |
| | globalScore | 1 | | windowScore | 1 | |
| 83.33% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 75 | | glossingSentenceCount | 2 | | matches | | 0 | "felt like a victory" | | 1 | "felt like hers" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.785 | | wordCount | 1274 | | matches | | 0 | "not like a threat, but like a man mourning a ghost" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 91 | | matches | | |
| 95.65% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 31 | | mean | 41.1 | | std | 19.92 | | cv | 0.485 | | sampleLengths | | 0 | 82 | | 1 | 64 | | 2 | 25 | | 3 | 41 | | 4 | 29 | | 5 | 66 | | 6 | 22 | | 7 | 1 | | 8 | 48 | | 9 | 1 | | 10 | 45 | | 11 | 44 | | 12 | 55 | | 13 | 28 | | 14 | 83 | | 15 | 15 | | 16 | 34 | | 17 | 45 | | 18 | 45 | | 19 | 34 | | 20 | 45 | | 21 | 30 | | 22 | 33 | | 23 | 21 | | 24 | 47 | | 25 | 35 | | 26 | 31 | | 27 | 68 | | 28 | 35 | | 29 | 52 | | 30 | 70 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 91 | | matches | | |
| 86.52% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 235 | | matches | | 0 | "was watching" | | 1 | "were just delivering" | | 2 | "was sitting" | | 3 | "wasn't pulling" |
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| 48.67% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 1 | | flaggedSentences | 3 | | totalSentences | 91 | | ratio | 0.033 | | matches | | 0 | "He didn't look up immediately, but he knew her step; he shifted his weight, favoring his bad left knee, and glanced over the rim of his spectacles." | | 1 | "He was older, his face leaner, the jawline sharper, but the eyes—cold and observant—were a sharp, piercing grey." | | 2 | "The city outside roared on—the sirens, the laughter of tourists, the distant rumble of the Underground—but inside, there was only the quiet thud of her heart." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1283 | | adjectiveStacks | 1 | | stackExamples | | 0 | "thin, crescent-shaped scar" |
| | adverbCount | 35 | | adverbRatio | 0.027279812938425563 | | lyAdverbCount | 14 | | lyAdverbRatio | 0.010911925175370226 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 91 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 91 | | mean | 14 | | std | 8.79 | | cv | 0.628 | | sampleLengths | | 0 | 27 | | 1 | 20 | | 2 | 35 | | 3 | 23 | | 4 | 27 | | 5 | 14 | | 6 | 20 | | 7 | 5 | | 8 | 14 | | 9 | 12 | | 10 | 15 | | 11 | 14 | | 12 | 15 | | 13 | 11 | | 14 | 29 | | 15 | 26 | | 16 | 2 | | 17 | 20 | | 18 | 1 | | 19 | 9 | | 20 | 39 | | 21 | 1 | | 22 | 17 | | 23 | 18 | | 24 | 10 | | 25 | 22 | | 26 | 17 | | 27 | 5 | | 28 | 16 | | 29 | 39 | | 30 | 6 | | 31 | 2 | | 32 | 20 | | 33 | 12 | | 34 | 26 | | 35 | 9 | | 36 | 4 | | 37 | 8 | | 38 | 6 | | 39 | 8 | | 40 | 10 | | 41 | 10 | | 42 | 2 | | 43 | 3 | | 44 | 8 | | 45 | 6 | | 46 | 5 | | 47 | 6 | | 48 | 9 | | 49 | 7 |
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| 39.01% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.2967032967032967 | | totalSentences | 91 | | uniqueOpeners | 27 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 86 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 48 | | totalSentences | 86 | | matches | | 0 | "It was a Tuesday, the" | | 1 | "He didn't look up immediately," | | 2 | "His silver signet ring caught" | | 3 | "Her straight black hair clung" | | 4 | "He stopped, his gaze darting" | | 5 | "He wore a crisp, tailored" | | 6 | "He stood for a moment," | | 7 | "He moved toward the bar," | | 8 | "He was older, his face" | | 9 | "He walked with a confidence" | | 10 | "I was told I might" | | 11 | "He didn't look at Silas," | | 12 | "He only looked at Rory." | | 13 | "She remembered the shattered wine" | | 14 | "Her voice was steady, the" | | 15 | "He ordered a neat scotch" | | 16 | "I heard about Cardiff." | | 17 | "He didn't know where you" | | 18 | "I thought I’d take a" | | 19 | "I didn't run away, Rory" |
| | ratio | 0.558 | |
| 29.77% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 74 | | totalSentences | 86 | | matches | | 0 | "The green neon sign above" | | 1 | "Aurora pushed the heavy oak" | | 2 | "It was a Tuesday, the" | | 3 | "Silas stood at the mahogany" | | 4 | "He didn't look up immediately," | | 5 | "His silver signet ring caught" | | 6 | "Rory, you’re late, he said," | | 7 | "Delivery was an hour ago." | | 8 | "The bike broke down on" | | 9 | "Her straight black hair clung" | | 10 | "Silas chuckled, a dry sound," | | 11 | "He stopped, his gaze darting" | | 12 | "The man who entered didn't" | | 13 | "He wore a crisp, tailored" | | 14 | "He stood for a moment," | | 15 | "Aurora felt a strange, cold" | | 16 | "The name hit the room" | | 17 | "Rory hadn't heard that name" | | 18 | "He moved toward the bar," | | 19 | "He was older, his face" |
| | ratio | 0.86 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 86 | | matches | | 0 | "If she started shaking, or" | | 1 | "Because in five minutes, the" |
| | ratio | 0.023 | |
| 53.57% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 56 | | technicalSentenceCount | 7 | | matches | | 0 | "Silas stood at the mahogany bar, polishing a tumbler with the practiced rhythm of a man who found comfort in singular, repetitive tasks." | | 1 | "He wore a crisp, tailored overcoat that cost more than Rory’s motorbike, and his hair, once tousled and golden-brown in their university days, was shorn tight t…" | | 2 | "He stood for a moment, his eyes adjusting to the gloom, scanning the rows of black-and-white photographs on the walls before they landed on the bar." | | 3 | "He walked with a confidence that made Rory’s stomach twist." | | 4 | "He ordered a neat scotch from Silas, who served it with a neutral expression, his hazel eyes lingering on Evan’s hands just a second too long." | | 5 | "His voice wasn't loud, but it possessed the unmistakable edge of authority that came from forty years of handling people who didn't want to follow the rules." | | 6 | "You chased a version of me that didn't exist, and you ended up breaking something that was already well on its way to being whole without you." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |