| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 3 | | adverbTags | | 0 | "she asked sharply [sharply]" | | 1 | "she said softly [softly]" | | 2 | "Quinn said sharply [sharply]" |
| | dialogueSentences | 26 | | tagDensity | 0.385 | | leniency | 0.769 | | rawRatio | 0.3 | | effectiveRatio | 0.231 | |
| 52.13% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1149 | | totalAiIsmAdverbs | 11 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | adverb | "deliberately" | | count | 2 |
| | 5 | | | 6 | |
| | highlights | | 0 | "softly" | | 1 | "slowly" | | 2 | "carefully" | | 3 | "lightly" | | 4 | "deliberately" | | 5 | "sharply" | | 6 | "really" |
| |
| 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) | |
| 17.32% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1149 | | totalAiIsms | 19 | | found | | | highlights | | 0 | "echoing" | | 1 | "fractured" | | 2 | "familiar" | | 3 | "flicker" | | 4 | "loomed" | | 5 | "scanning" | | 6 | "chaotic" | | 7 | "standard" | | 8 | "furrowed" | | 9 | "etched" | | 10 | "glinting" | | 11 | "traced" | | 12 | "flicked" | | 13 | "glint" | | 14 | "restrained" | | 15 | "whisper" |
| |
| 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 | 65 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 65 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 81 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 40 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1125 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 84.78% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 22 | | wordCount | 690 | | uniqueNames | 7 | | maxNameDensity | 1.3 | | worstName | "Carter" | | maxWindowNameDensity | 2 | | worstWindowName | "Carter" | | discoveredNames | | Detective | 2 | | Harlow | 1 | | Quinn | 7 | | Miles | 1 | | Carter | 9 | | Camden | 1 | | London | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Carter" |
| | places | | | globalScore | 0.848 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 45 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.889 | | wordCount | 1125 | | matches | | 0 | "Not your typical hate symbol, but more like a mark of some ritual" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 81 | | matches | (empty) | |
| 92.98% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 33 | | mean | 34.09 | | std | 16.21 | | cv | 0.475 | | sampleLengths | | 0 | 63 | | 1 | 62 | | 2 | 37 | | 3 | 25 | | 4 | 42 | | 5 | 44 | | 6 | 6 | | 7 | 30 | | 8 | 33 | | 9 | 10 | | 10 | 32 | | 11 | 40 | | 12 | 53 | | 13 | 28 | | 14 | 12 | | 15 | 27 | | 16 | 44 | | 17 | 38 | | 18 | 32 | | 19 | 64 | | 20 | 27 | | 21 | 43 | | 22 | 19 | | 23 | 47 | | 24 | 31 | | 25 | 11 | | 26 | 41 | | 27 | 55 | | 28 | 20 | | 29 | 17 | | 30 | 30 | | 31 | 57 | | 32 | 5 |
| |
| 99.87% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 65 | | matches | | |
| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 129 | | matches | | 0 | "was beginning" | | 1 | "was controlling was watching" | | 2 | "was getting" |
| |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 12 | | semicolonCount | 0 | | flaggedSentences | 10 | | totalSentences | 81 | | ratio | 0.123 | | matches | | 0 | "Her gaze immediately snapped to the victim—a battered figure slumped against a rusted, graffiti-stained pipe, head tilted at an awkward angle." | | 1 | "She crouched, studying the injuries—the brutal stab wound across the torso, the fractured ribs curling beneath the torn shirt, the jagged cut on the forearm." | | 2 | "The attack had been savage, but no signs of struggle, no bruises—nothing to suggest the victim fought back." | | 3 | "The place hummed with a faint thrum of supernatural energy—an odd, static-like buzz that prickled her skin." | | 4 | "The position of the stab wound—precise, clean—didn’t match the chaotic surroundings." | | 5 | "Her eyes traced the shapes—arcane sigils, familiar but deliberately obscure." | | 6 | "Someone had brought him—coerced or lured—into this hidden lair for reasons rooted in something darker, something arcane." | | 7 | "The sigil responded faintly to her touch—a whisper of energy, like static on her fingertips." | | 8 | "The signs layered into a story she was beginning to piece together—one of power, danger, and secrets buried beneath the city’s stone and secrets visible only to those willing to look deep enough." | | 9 | "As she moved to search again, a faint breeze stirred the dust, carrying with it the faint scent of something burnt—smoke, or perhaps a warning." |
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| 90.64% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 706 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 34 | | adverbRatio | 0.04815864022662889 | | lyAdverbCount | 16 | | lyAdverbRatio | 0.0226628895184136 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 81 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 81 | | mean | 13.89 | | std | 8.72 | | cv | 0.628 | | sampleLengths | | 0 | 21 | | 1 | 21 | | 2 | 12 | | 3 | 9 | | 4 | 25 | | 5 | 3 | | 6 | 16 | | 7 | 18 | | 8 | 7 | | 9 | 15 | | 10 | 3 | | 11 | 12 | | 12 | 17 | | 13 | 8 | | 14 | 12 | | 15 | 30 | | 16 | 6 | | 17 | 16 | | 18 | 5 | | 19 | 17 | | 20 | 6 | | 21 | 2 | | 22 | 28 | | 23 | 8 | | 24 | 11 | | 25 | 14 | | 26 | 10 | | 27 | 8 | | 28 | 24 | | 29 | 26 | | 30 | 14 | | 31 | 6 | | 32 | 22 | | 33 | 10 | | 34 | 15 | | 35 | 5 | | 36 | 6 | | 37 | 17 | | 38 | 12 | | 39 | 2 | | 40 | 25 | | 41 | 13 | | 42 | 18 | | 43 | 13 | | 44 | 7 | | 45 | 31 | | 46 | 5 | | 47 | 27 | | 48 | 5 | | 49 | 20 |
| |
| 66.26% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.41975308641975306 | | totalSentences | 81 | | uniqueOpeners | 34 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 61 | | matches | (empty) | | ratio | 0 | |
| 49.51% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 26 | | totalSentences | 61 | | matches | | 0 | "Her gaze immediately snapped to" | | 1 | "She crouched, studying the injuries—the" | | 2 | "He looked casual, almost bored," | | 3 | "she asked, voice low" | | 4 | "She circled the body carefully," | | 5 | "It was almost as if" | | 6 | "He pointed, voice husky" | | 7 | "She pressed her fingertips lightly" | | 8 | "Her eyes traced the shapes—arcane" | | 9 | "She’d dealt with enough black-market" | | 10 | "She tilted her head, contemplating." | | 11 | "she asked sharply" | | 12 | "She nodded again subconsciously, but" | | 13 | "Her gaze fell on the" | | 14 | "She knelt, running her fingers" | | 15 | "she muttered, voice husky" | | 16 | "She looked sharply at him." | | 17 | "Her eyes drifted over the" | | 18 | "She shot him a sharp" | | 19 | "Her fingers brushed one of" |
| | ratio | 0.426 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 57 | | totalSentences | 61 | | matches | | 0 | "The door swung open with" | | 1 | "Her gaze immediately snapped to" | | 2 | "Blood pooled around him, dark" | | 3 | "The air reeked of dampness" | | 4 | "She crouched, studying the injuries—the" | | 5 | "Nothing about it." | | 6 | "The violence was familiar, instinctive" | | 7 | "The attack had been savage," | | 8 | "A flicker of movement caught" | | 9 | "Detective Miles Carter." | | 10 | "He looked casual, almost bored," | | 11 | "Quinn said without greeting, eyeing" | | 12 | "The archways loomed overhead, shadows" | | 13 | "Carter tilted his head, brushing" | | 14 | "Quinn nodded slowly, scanning the" | | 15 | "The floor was strewn with" | | 16 | "Someone had been here recently." | | 17 | "The place hummed with a" | | 18 | "she asked, voice low" | | 19 | "She circled the body carefully," |
| | ratio | 0.934 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 61 | | matches | (empty) | | ratio | 0 | |
| 66.33% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 28 | | technicalSentenceCount | 3 | | matches | | 0 | "The violence was familiar, instinctive even, but there was something about it that gnawed at her." | | 1 | "The place hummed with a faint thrum of supernatural energy—an odd, static-like buzz that prickled her skin." | | 2 | "It was almost as if the killer had a particular intent, a ritualistic angle." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 4 | | matches | | 0 | "she asked, voice low" | | 1 | "He pointed, voice husky" | | 2 | "she muttered, voice husky" | | 3 | "she muttered, voice almost a whisper" |
| |
| 73.08% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 2 | | fancyTags | | 0 | "she muttered (mutter)" | | 1 | "she muttered (mutter)" |
| | dialogueSentences | 26 | | tagDensity | 0.269 | | leniency | 0.538 | | rawRatio | 0.286 | | effectiveRatio | 0.154 | |