| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 42 | | tagDensity | 0.31 | | leniency | 0.619 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.76% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1543 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 100.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 61.11% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1543 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "weight" | | 1 | "familiar" | | 2 | "lilt" | | 3 | "treacherous" | | 4 | "footsteps" | | 5 | "whisper" | | 6 | "echoed" | | 7 | "silence" | | 8 | "racing" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 127 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 127 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 156 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 39 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 26 | | markdownWords | 31 | | totalWords | 1533 | | ratio | 0.02 | | matches | | 0 | "her suspect" | | 1 | "Three years." | | 2 | "Tomás." | | 3 | "The Raven’s Nest" | | 4 | "person" | | 5 | "justice" | | 6 | "this" | | 7 | "target" | | 8 | "will" | | 9 | "click" | | 10 | "click" | | 11 | "You’re late." | | 12 | "Silas." | | 13 | "wrong" | | 14 | "snap" | | 15 | "naïve" | | 16 | "good" | | 17 | "twitched" | | 18 | "waiting" | | 19 | "surprise" | | 20 | "fool" | | 21 | "smile" | | 22 | "Now." | | 23 | "shot" | | 24 | "laughing" | | 25 | "click" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 60 | | wordCount | 1288 | | uniqueNames | 12 | | maxNameDensity | 1.48 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Tomás" | | discoveredNames | | Soho | 1 | | Three | 2 | | Morris | 1 | | Quinn | 19 | | Spanish | 1 | | London | 1 | | Veil | 1 | | Market | 1 | | Camden | 1 | | Tomás | 19 | | Silas | 9 | | Knew | 4 |
| | persons | | 0 | "Morris" | | 1 | "Quinn" | | 2 | "Tomás" | | 3 | "Silas" |
| | places | | | globalScore | 0.762 | | windowScore | 0.667 | |
| 89.02% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 82 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like it belonged in a war zone, no" | | 1 | "not quite human—spoke from the shadows ahead" |
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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 | 1533 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 156 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 70 | | mean | 21.9 | | std | 18.84 | | cv | 0.86 | | sampleLengths | | 0 | 1 | | 1 | 78 | | 2 | 63 | | 3 | 52 | | 4 | 13 | | 5 | 21 | | 6 | 63 | | 7 | 16 | | 8 | 19 | | 9 | 4 | | 10 | 22 | | 11 | 9 | | 12 | 48 | | 13 | 18 | | 14 | 11 | | 15 | 19 | | 16 | 44 | | 17 | 52 | | 18 | 28 | | 19 | 6 | | 20 | 9 | | 21 | 30 | | 22 | 36 | | 23 | 10 | | 24 | 75 | | 25 | 6 | | 26 | 37 | | 27 | 5 | | 28 | 28 | | 29 | 11 | | 30 | 2 | | 31 | 25 | | 32 | 1 | | 33 | 61 | | 34 | 13 | | 35 | 11 | | 36 | 45 | | 37 | 8 | | 38 | 38 | | 39 | 7 | | 40 | 26 | | 41 | 17 | | 42 | 7 | | 43 | 22 | | 44 | 27 | | 45 | 4 | | 46 | 32 | | 47 | 3 | | 48 | 6 | | 49 | 43 |
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| 94.21% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 127 | | matches | | 0 | "been taken" | | 1 | "were made" | | 2 | "being cocked" | | 3 | "were locked" |
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| 39.74% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 5 | | totalVerbs | 208 | | matches | | 0 | "was happening" | | 1 | "was fighting" | | 2 | "wasn’t leaving" | | 3 | "was *waiting" | | 4 | "was waiting" |
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| 51.28% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 156 | | ratio | 0.032 | | matches | | 0 | "The suspect—*her suspect*—had vanished into the labyrinth of Soho’s backstreets, but the scent of him lingered: cheap cologne, the metallic tang of blood, and the faintest whiff of something burnt, like old parchment left too close to a flame." | | 1 | "Not the suspect—too tall, too broad." | | 2 | "And if this suspect—this *target*—was connected to whatever was happening beneath Camden, then she wasn’t about to turn back now." | | 3 | "Then, a voice—low, guttural, not quite human—spoke from the shadows ahead." | | 4 | "Silas staggered back, his hand flying to his chest, his eyes wide with something that wasn’t fear—it was *surprise*." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1299 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 46 | | adverbRatio | 0.03541185527328714 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.003079291762894534 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 156 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 156 | | mean | 9.82 | | std | 7.36 | | cv | 0.749 | | sampleLengths | | 0 | 22 | | 1 | 17 | | 2 | 39 | | 3 | 13 | | 4 | 20 | | 5 | 5 | | 6 | 25 | | 7 | 4 | | 8 | 6 | | 9 | 13 | | 10 | 8 | | 11 | 6 | | 12 | 15 | | 13 | 13 | | 14 | 10 | | 15 | 9 | | 16 | 2 | | 17 | 3 | | 18 | 17 | | 19 | 14 | | 20 | 24 | | 21 | 5 | | 22 | 5 | | 23 | 11 | | 24 | 9 | | 25 | 10 | | 26 | 4 | | 27 | 18 | | 28 | 4 | | 29 | 6 | | 30 | 3 | | 31 | 12 | | 32 | 18 | | 33 | 18 | | 34 | 9 | | 35 | 9 | | 36 | 3 | | 37 | 8 | | 38 | 14 | | 39 | 5 | | 40 | 28 | | 41 | 16 | | 42 | 2 | | 43 | 3 | | 44 | 24 | | 45 | 12 | | 46 | 11 | | 47 | 8 | | 48 | 20 | | 49 | 6 |
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| 41.03% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 14 | | diversityRatio | 0.21153846153846154 | | totalSentences | 156 | | uniqueOpeners | 33 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 113 | | matches | | 0 | "Finally, he nodded." | | 1 | "Then, a sound that wasn’t" | | 2 | "Then, a voice—low, guttural, not" | | 3 | "Then he laughed." | | 4 | "Then, a sound." |
| | ratio | 0.044 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 28 | | totalSentences | 113 | | matches | | 0 | "She adjusted the grip on" | | 1 | "he said, voice low, the" | | 2 | "She glanced down at the" | | 3 | "He stepped into the dim" | | 4 | "He pulled a small medical" | | 5 | "He pressed the strip to" | | 6 | "She flinched as the antiseptic" | | 7 | "He tossed the used strip" | | 8 | "She turned, her coat flaring" | | 9 | "He jerked his chin toward" | | 10 | "She’d heard the whispers, the" | | 11 | "She holstered her revolver, the" | | 12 | "They moved as one, slipping" | | 13 | "She didn’t answer." | | 14 | "She didn’t have to." | | 15 | "She knew that voice." | | 16 | "His face was a mask" | | 17 | "Her eyes were locked on" | | 18 | "He took a step forward," | | 19 | "She was too busy watching" |
| | ratio | 0.248 | |
| 66.19% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 89 | | totalSentences | 113 | | matches | | 0 | "The alleyway stank of wet" | | 1 | "Quinn’s boots splashed through a" | | 2 | "The suspect—*her suspect*—had vanished into" | | 3 | "She adjusted the grip on" | | 4 | "This was a man who’d" | | 5 | "A shadow moved ahead." | | 6 | "A figure hunched under a" | | 7 | "Quinn slowed, her breath steady" | | 8 | "*Tomás.* She’d known he’d be" | | 9 | "he said, voice low, the" | | 10 | "She glanced down at the" | | 11 | "A graze from a shard" | | 12 | "Tomás didn’t answer." | | 13 | "He stepped into the dim" | | 14 | "The scar along his forearm" | | 15 | "He pulled a small medical" | | 16 | "Quinn didn’t look at him." | | 17 | "Tomás’s fingers moved quickly, unwrapping" | | 18 | "He pressed the strip to" | | 19 | "She flinched as the antiseptic" |
| | ratio | 0.788 | |
| 44.25% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 113 | | matches | | 0 | "Because she knew, deep down," |
| | ratio | 0.009 | |
| 37.04% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 54 | | technicalSentenceCount | 8 | | matches | | 0 | "The alleyway stank of wet concrete and something older, something that clung to the air like the memory of a bad dream." | | 1 | "Quinn’s boots splashed through a puddle that had already absorbed the glow of the flickering streetlamp above." | | 2 | "Her eyes were locked on Silas, on the way his lips curled into a smile that didn’t reach his eyes." | | 3 | "Silas staggered back, his hand flying to his chest, his eyes wide with something that wasn’t fear—it was *surprise*." | | 4 | "She followed him, her boots splashing through the puddles, her mind racing." | | 5 | "The air smelled of damp earth and something older, something that made Quinn’s skin prickle." | | 6 | "She followed him, her boots splashing through the puddles, her mind racing." | | 7 | "Knew the stories, the warnings, the way the old-timers whispered about the things that lurked beneath the city." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 4 | | matches | | 0 | "he said, voice low, the Spanish lilt cutting through the rain" | | 1 | "She holstered, the weight of it reassuring against her hip" | | 2 | "He took, his boots splashing through the puddles" | | 3 | "Silas said, his voice dropping to a whisper" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 2 | | fancyTags | | 0 | "He pressed (press)" | | 1 | "Tomás whispered (whisper)" |
| | dialogueSentences | 42 | | tagDensity | 0.19 | | leniency | 0.381 | | rawRatio | 0.25 | | effectiveRatio | 0.095 | |