| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 27 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 73 | | tagDensity | 0.37 | | leniency | 0.74 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 85.35% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1706 | | totalAiIsmAdverbs | 5 | | found | | 0 | | adverb | "deliberately" | | count | 2 |
| | 1 | | | 2 | | | 3 | |
| | highlights | | 0 | "deliberately" | | 1 | "really" | | 2 | "slowly" | | 3 | "carefully" |
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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) | |
| 67.76% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1706 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "flickered" | | 1 | "measured" | | 2 | "perfect" | | 3 | "traced" | | 4 | "silence" | | 5 | "weight" | | 6 | "normalcy" | | 7 | "familiar" |
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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 | 115 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 115 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 160 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 36 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1692 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 23 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 52 | | wordCount | 1209 | | uniqueNames | 17 | | maxNameDensity | 1.16 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Thomas" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Carter | 1 | | Golden | 1 | | Empress | 1 | | Yu-Fei | 1 | | Silas | 9 | | Tuesday | 2 | | Hart | 2 | | Pontcanna | 2 | | Cardiff | 1 | | Rory | 14 | | London | 1 | | Guinness | 2 | | Thomas | 11 | | Evan | 1 | | Taff | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Carter" | | 3 | "Yu-Fei" | | 4 | "Silas" | | 5 | "Tuesday" | | 6 | "Hart" | | 7 | "Rory" | | 8 | "Thomas" | | 9 | "Evan" |
| | places | | 0 | "Pontcanna" | | 1 | "Cardiff" | | 2 | "London" |
| | globalScore | 0.921 | | windowScore | 0.833 | |
| 2.94% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 68 | | glossingSentenceCount | 4 | | matches | | 0 | "felt like the whole world" | | 1 | "felt like a negotiation" | | 2 | "guilt that had apparently followed him across" | | 3 | "felt like someone she'd read about rath" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.591 | | wordCount | 1692 | | matches | | 0 | "not softness, exactly, but the precursor to it, the way the air pressure changes before" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 160 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 77 | | mean | 21.97 | | std | 20.68 | | cv | 0.941 | | sampleLengths | | 0 | 85 | | 1 | 58 | | 2 | 44 | | 3 | 1 | | 4 | 28 | | 5 | 73 | | 6 | 1 | | 7 | 28 | | 8 | 7 | | 9 | 65 | | 10 | 8 | | 11 | 10 | | 12 | 43 | | 13 | 5 | | 14 | 3 | | 15 | 38 | | 16 | 10 | | 17 | 11 | | 18 | 25 | | 19 | 18 | | 20 | 52 | | 21 | 9 | | 22 | 6 | | 23 | 31 | | 24 | 29 | | 25 | 4 | | 26 | 4 | | 27 | 2 | | 28 | 3 | | 29 | 29 | | 30 | 4 | | 31 | 6 | | 32 | 5 | | 33 | 21 | | 34 | 2 | | 35 | 25 | | 36 | 57 | | 37 | 7 | | 38 | 50 | | 39 | 24 | | 40 | 4 | | 41 | 65 | | 42 | 10 | | 43 | 4 | | 44 | 40 | | 45 | 6 | | 46 | 35 | | 47 | 53 | | 48 | 18 | | 49 | 27 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 115 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 222 | | matches | | 0 | "was pretending" | | 1 | "was accepting" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 12 | | semicolonCount | 0 | | flaggedSentences | 11 | | totalSentences | 160 | | ratio | 0.069 | | matches | | 0 | "His limp barely showed tonight—good weather, or maybe just good whiskey." | | 1 | "He'd filled out, too—broader in the shoulders, confident in the way of men who'd learned to take up space without asking permission." | | 2 | "Thomas glanced at him—a quick assessment, the kind Rory had learned to recognize since moving to London." | | 3 | "Rory felt something shift in her chest—not softness, exactly, but the precursor to it, the way the air pressure changes before a storm breaks." | | 4 | "She saw the weight he carried—the guilt that had apparently followed him across years and geography, the kind that reshapes a man from the inside out." | | 5 | "He pulled something from his coat pocket and set it on the bar between them—a photograph, creased and faded." | | 6 | "The gesture was precise, deliberate—the action of a man who'd learned to treat fragile things with care." | | 7 | "Rory studied him—the man he'd become, the cost of his transformation." | | 8 | "The normalcy of it—the sheer mundanity of strangers entering a bar on a wet Tuesday—felt almost aggressive." | | 9 | "He nodded, accepting this the way he was accepting everything—without resistance, without negotiation." | | 10 | "Eva still used it in texts, but there was something different about hearing it from him—from the mouth of someone who represented a version of her life she'd deliberately severed." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1227 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 38 | | adverbRatio | 0.030969845150774247 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.008149959250203748 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 160 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 160 | | mean | 10.58 | | std | 8.62 | | cv | 0.815 | | sampleLengths | | 0 | 13 | | 1 | 19 | | 2 | 31 | | 3 | 22 | | 4 | 4 | | 5 | 7 | | 6 | 32 | | 7 | 11 | | 8 | 4 | | 9 | 29 | | 10 | 4 | | 11 | 4 | | 12 | 7 | | 13 | 1 | | 14 | 8 | | 15 | 17 | | 16 | 3 | | 17 | 20 | | 18 | 31 | | 19 | 22 | | 20 | 1 | | 21 | 23 | | 22 | 5 | | 23 | 5 | | 24 | 2 | | 25 | 27 | | 26 | 13 | | 27 | 17 | | 28 | 8 | | 29 | 3 | | 30 | 5 | | 31 | 6 | | 32 | 4 | | 33 | 15 | | 34 | 9 | | 35 | 3 | | 36 | 2 | | 37 | 14 | | 38 | 5 | | 39 | 3 | | 40 | 2 | | 41 | 4 | | 42 | 20 | | 43 | 3 | | 44 | 1 | | 45 | 8 | | 46 | 10 | | 47 | 5 | | 48 | 6 | | 49 | 23 |
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| 49.58% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.33125 | | totalSentences | 160 | | uniqueOpeners | 53 | |
| 70.92% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 94 | | matches | | 0 | "Then the moment passed, and" | | 1 | "Just an acknowledgment, bare and" |
| | ratio | 0.021 | |
| 58.30% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 38 | | totalSentences | 94 | | matches | | 0 | "His limp barely showed tonight—good" | | 1 | "She was halfway through a" | | 2 | "It was the nature of" | | 3 | "She knew it the way" | | 4 | "She looked up." | | 5 | "His hair was shorter now," | | 6 | "He'd filled out, too—broader in" | | 7 | "He smiled, and it was" | | 8 | "She closed her laptop" | | 9 | "He approached the bar like" | | 10 | "His tone offered nothing." | | 11 | "he observed, his gaze on" | | 12 | "She didn't smile" | | 13 | "He took the Guinness from" | | 14 | "He held her gaze, and" | | 15 | "His fingers traced the rim" | | 16 | "His jaw tightened" | | 17 | "She counted her breaths." | | 18 | "He turned to face her" | | 19 | "It pressed against the walls," |
| | ratio | 0.404 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 87 | | totalSentences | 94 | | matches | | 0 | "The green neon sign above" | | 1 | "Aurora Carter sat at the" | | 2 | "The Golden Empress dinner rush" | | 3 | "Rory had come down from" | | 4 | "The bar was quiet." | | 5 | "A Tuesday, which meant only" | | 6 | "Silas moved behind the counter" | | 7 | "His limp barely showed tonight—good" | | 8 | "Rory didn't ask which." | | 9 | "She was halfway through a" | | 10 | "Rory didn't look up." | | 11 | "People came and went." | | 12 | "It was the nature of" | | 13 | "The voice hit her like" | | 14 | "She knew it the way" | | 15 | "She looked up." | | 16 | "Thomas Hart stood in the" | | 17 | "His hair was shorter now," | | 18 | "He'd filled out, too—broader in" | | 19 | "He smiled, and it was" |
| | ratio | 0.926 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 94 | | matches | (empty) | | ratio | 0 | |
| 79.37% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 45 | | technicalSentenceCount | 4 | | matches | | 0 | "Silas moved behind the counter with his characteristic economy of motion, polishing a glass and watching the door with the patient vigilance of a man who'd spen…" | | 1 | "He'd filled out, too—broader in the shoulders, confident in the way of men who'd learned to take up space without asking permission." | | 2 | "The careful distance of a man who understood he'd forfeited the right to closeness." | | 3 | "Eva still used it in texts, but there was something different about hearing it from him—from the mouth of someone who represented a version of her life she'd de…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 27 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 13 | | fancyCount | 3 | | fancyTags | | 0 | "he observed (observe)" | | 1 | "he whispered (whisper)" | | 2 | "Thomas continued (continue)" |
| | dialogueSentences | 73 | | tagDensity | 0.178 | | leniency | 0.356 | | rawRatio | 0.231 | | effectiveRatio | 0.082 | |