| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 0 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 75.79% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1239 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "slowly" | | 1 | "really" | | 2 | "very" | | 3 | "truly" | | 4 | "utterly" |
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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) | |
| 15.25% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1239 | | totalAiIsms | 21 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | |
| | highlights | | 0 | "spectral" | | 1 | "familiar" | | 2 | "chill" | | 3 | "comfortable" | | 4 | "warmth" | | 5 | "throbbed" | | 6 | "traced" | | 7 | "measured" | | 8 | "scanning" | | 9 | "pulse" | | 10 | "etched" | | 11 | "echo" | | 12 | "weight" | | 13 | "flicker" | | 14 | "porcelain" | | 15 | "whisper" | | 16 | "rhythmic" | | 17 | "firmly" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 81 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 81 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 82 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 56 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1232 | | ratio | 0 | | matches | (empty) | |
| 56.82% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 3 | | matches | | 0 | "Evan, she said, her voice dropping into a register so flat it felt like a door slamming shut." | | 1 | "I heard you moved to London, he said, his tone casual, as if they were bumping into each other at a Saturday market rath…" | | 2 | "It was necessary, she corrected." |
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| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 44 | | wordCount | 1197 | | uniqueNames | 13 | | maxNameDensity | 0.84 | | worstName | "Evan" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Raven | 2 | | Nest | 2 | | Soho | 3 | | London | 2 | | Silas | 7 | | Evan | 10 | | Cardiff | 2 | | Saturday | 1 | | Rory | 9 | | Mayfair | 1 | | Spymaster | 1 | | Carter | 1 | | You | 3 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Silas" | | 3 | "Evan" | | 4 | "Rory" | | 5 | "Carter" | | 6 | "You" |
| | places | | 0 | "Soho" | | 1 | "London" | | 2 | "Cardiff" | | 3 | "Saturday" |
| | globalScore | 1 | | windowScore | 1 | |
| 73.08% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 65 | | glossingSentenceCount | 2 | | matches | | 0 | "quite break" | | 1 | "felt like a door slamming shut" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.812 | | wordCount | 1232 | | matches | | 0 | "not erased, but finally, firmly, left behind the thick oak door of the Raven" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 82 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 22 | | mean | 56 | | std | 30.5 | | cv | 0.545 | | sampleLengths | | 0 | 113 | | 1 | 111 | | 2 | 35 | | 3 | 1 | | 4 | 105 | | 5 | 18 | | 6 | 78 | | 7 | 57 | | 8 | 46 | | 9 | 65 | | 10 | 50 | | 11 | 65 | | 12 | 44 | | 13 | 61 | | 14 | 49 | | 15 | 81 | | 16 | 30 | | 17 | 13 | | 18 | 57 | | 19 | 9 | | 20 | 73 | | 21 | 71 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 81 | | matches | (empty) | |
| 15.67% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 6 | | totalVerbs | 217 | | matches | | 0 | "was obsessively wiping" | | 1 | "was counting" | | 2 | "was wearing" | | 3 | "were bumping" | | 4 | "was listening" | | 5 | "was losing" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 2 | | flaggedSentences | 7 | | totalSentences | 82 | | ratio | 0.085 | | matches | | 0 | "Her left wrist throbbed faintly—a psychosomatic ache that usually flared whenever the weather shifted—and she traced the small crescent-shaped scar beneath her sleeve, a reflexive habit she couldn’t quite break." | | 1 | "He smiled, but it didn't reach his eyes—those familiar, predatory flickers of expectation." | | 2 | "His hand hung in the air for a second before he pulled it back, adjusting his signet ring—a hollow echo of the one Silas wore, though Evan’s was merely gaudy, not functional." | | 3 | "Evan’s expression hardened, just for a flicker of a second—a hairline fracture in the porcelain veneer." | | 4 | "She worked for a man who kept tabs on the criminal underbelly of the city; she had seen, through Silas’ influence and her own hard-won survival, exactly how small men like Evan truly were when shorn of their pedestals." | | 5 | "She tapped her glass—untouched—and nodded toward the bar." | | 6 | "He didn't look at Evan; he looked at Rory, his hazel eyes searching hers for a signal." |
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| 91.25% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 510 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 22 | | adverbRatio | 0.043137254901960784 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.01568627450980392 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 82 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 82 | | mean | 15.02 | | std | 10.62 | | cv | 0.707 | | sampleLengths | | 0 | 23 | | 1 | 22 | | 2 | 38 | | 3 | 30 | | 4 | 14 | | 5 | 28 | | 6 | 13 | | 7 | 56 | | 8 | 12 | | 9 | 23 | | 10 | 1 | | 11 | 17 | | 12 | 15 | | 13 | 13 | | 14 | 3 | | 15 | 31 | | 16 | 26 | | 17 | 18 | | 18 | 13 | | 19 | 22 | | 20 | 25 | | 21 | 18 | | 22 | 30 | | 23 | 11 | | 24 | 4 | | 25 | 12 | | 26 | 22 | | 27 | 12 | | 28 | 12 | | 29 | 14 | | 30 | 19 | | 31 | 32 | | 32 | 7 | | 33 | 3 | | 34 | 8 | | 35 | 15 | | 36 | 1 | | 37 | 4 | | 38 | 5 | | 39 | 7 | | 40 | 18 | | 41 | 32 | | 42 | 15 | | 43 | 8 | | 44 | 21 | | 45 | 8 | | 46 | 7 | | 47 | 16 | | 48 | 18 | | 49 | 5 |
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| 26.83% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 19 | | diversityRatio | 0.2926829268292683 | | totalSentences | 82 | | uniqueOpeners | 24 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 77 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 51 | | totalSentences | 77 | | matches | | 0 | "She shook out her damp" | | 1 | "Her left wrist throbbed faintly—a" | | 2 | "He was obsessively wiping down" | | 3 | "He saw her, gave a" | | 4 | "He didn’t limp when he" | | 5 | "She went rigid, her fingers" | | 6 | "She turned slowly, her bright" | | 7 | "It was Evan." | | 8 | "He was wearing a trench" | | 9 | "He smiled, but it didn't" | | 10 | "He looked at her, really" | | 11 | "He seemed to be searching" | | 12 | "He looked disappointed, or perhaps" | | 13 | "I heard you moved to" | | 14 | "I didn't think I’d find" | | 15 | "I remember you talking about" | | 16 | "I don’t think you remember" | | 17 | "I think you remember the" | | 18 | "He chuckled, a low, smooth" | | 19 | "He reached out as if" |
| | ratio | 0.662 | |
| 18.44% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 68 | | totalSentences | 77 | | matches | | 0 | "The green neon sign of" | | 1 | "Aurora pushed through the heavy" | | 2 | "She shook out her damp" | | 3 | "Her left wrist throbbed faintly—a" | | 4 | "He was obsessively wiping down" | | 5 | "He saw her, gave a" | | 6 | "He didn’t limp when he" | | 7 | "The man who sat down" | | 8 | "The voice was a ghost" | | 9 | "She went rigid, her fingers" | | 10 | "She turned slowly, her bright" | | 11 | "It was Evan." | | 12 | "He was wearing a trench" | | 13 | "Evan, she said, her voice" | | 14 | "He smiled, but it didn't" | | 15 | "He looked at her, really" | | 16 | "He seemed to be searching" | | 17 | "He looked disappointed, or perhaps" | | 18 | "I heard you moved to" | | 19 | "I didn't think I’d find" |
| | ratio | 0.883 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 77 | | matches | | 0 | "Before she could take the" | | 1 | "Or, at least, it was" |
| | ratio | 0.026 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 50 | | technicalSentenceCount | 12 | | matches | | 0 | "He didn’t limp when he was behind the wood, a practiced deception he’d maintained for years to hide the injury that ended his time in the field, but as he stepp…" | | 1 | "The man who sat down smelled of cedarwood and overpriced cologne, a scent far too sharp and clean for the grime of Soho." | | 2 | "Or, at least, it was the structural frame of Evan, smoothed over by time and perhaps the grace of a tailoring budget that hadn’t existed when they were students…" | | 3 | "He was wearing a trench coat that cost more than her entire inventory of possessions, his hair styled into a careless sweep that looked entirely intentional." | | 4 | "Evan, she said, her voice dropping into a register so flat it felt like a door slamming shut." | | 5 | "He seemed to be searching for the girl he had dominated, the girl who had spent hours rearranging her life to avoid triggering his tempers." | | 6 | "I heard you moved to London, he said, his tone casual, as if they were bumping into each other at a Saturday market rather than in a dimly lit hole-in-the-wall." | | 7 | "He chuckled, a low, smooth sound that made the hair on her arms prickle." | | 8 | "He reached out as if to touch her shoulder, but Rory shifted, creating a deliberate, insurmountable gap between them." | | 9 | "She looked at Silas, who was currently occupied with a customer at the other end of the bar, yet his presence was a heavy, watchful weight against the small of …" | | 10 | "He leaned closer, his voice dropping into that intimately manipulative whisper that used to make her heart stutter." | | 11 | "I’m buying you a drink, he said, his tone transitioning into a demand disguised as benevolence." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |