| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 19 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 38 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.21% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1319 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 80.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 35.56% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1319 | | totalAiIsms | 17 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | word | "down her spine" | | count | 1 |
| | 15 | |
| | highlights | | 0 | "shattered" | | 1 | "silence" | | 2 | "gloom" | | 3 | "shimmered" | | 4 | "echoed" | | 5 | "traced" | | 6 | "racing" | | 7 | "perfect" | | 8 | "scanned" | | 9 | "glint" | | 10 | "etched" | | 11 | "pulsed" | | 12 | "vibrated" | | 13 | "chill" | | 14 | "down her spine" | | 15 | "potential" |
| |
| 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 | 107 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 107 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 125 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 38 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 1316 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 84.01% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 31 | | wordCount | 985 | | uniqueNames | 8 | | maxNameDensity | 1.32 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | CamdenTube | 1 | | Harlow | 1 | | Quinn | 13 | | London | 1 | | Evans | 10 | | October | 1 | | Morris | 1 | | Three | 3 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Evans" | | 3 | "Morris" | | 4 | "Three" |
| | places | | | globalScore | 0.84 | | windowScore | 1 | |
| 52.60% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 77 | | glossingSentenceCount | 3 | | matches | | 0 | "looked like dried moss" | | 1 | "graffiti that seemed to shift when she wasn't looking directly at it" | | 2 | "looked like charcoal, but the lines shimm" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1316 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 125 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 39 | | mean | 33.74 | | std | 18.19 | | cv | 0.539 | | sampleLengths | | 0 | 65 | | 1 | 44 | | 2 | 46 | | 3 | 47 | | 4 | 39 | | 5 | 45 | | 6 | 32 | | 7 | 30 | | 8 | 23 | | 9 | 56 | | 10 | 16 | | 11 | 13 | | 12 | 62 | | 13 | 4 | | 14 | 2 | | 15 | 13 | | 16 | 45 | | 17 | 61 | | 18 | 17 | | 19 | 27 | | 20 | 19 | | 21 | 49 | | 22 | 34 | | 23 | 9 | | 24 | 5 | | 25 | 50 | | 26 | 14 | | 27 | 33 | | 28 | 45 | | 29 | 42 | | 30 | 59 | | 31 | 13 | | 32 | 29 | | 33 | 66 | | 34 | 33 | | 35 | 21 | | 36 | 24 | | 37 | 28 | | 38 | 56 |
| |
| 95.43% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 107 | | matches | | 0 | "were dilated" | | 1 | "been pulled" | | 2 | "was etched" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 166 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 1 | | flaggedSentences | 1 | | totalSentences | 125 | | ratio | 0.008 | | matches | | 0 | "The cold hadn't emanated from the man; it had been pulled *from* him." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 986 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 31 | | adverbRatio | 0.03144016227180527 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.007099391480730223 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 125 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 125 | | mean | 10.53 | | std | 6.44 | | cv | 0.612 | | sampleLengths | | 0 | 21 | | 1 | 21 | | 2 | 23 | | 3 | 14 | | 4 | 14 | | 5 | 16 | | 6 | 3 | | 7 | 10 | | 8 | 19 | | 9 | 9 | | 10 | 5 | | 11 | 12 | | 12 | 22 | | 13 | 2 | | 14 | 3 | | 15 | 8 | | 16 | 12 | | 17 | 15 | | 18 | 4 | | 19 | 1 | | 20 | 7 | | 21 | 7 | | 22 | 38 | | 23 | 9 | | 24 | 2 | | 25 | 8 | | 26 | 4 | | 27 | 9 | | 28 | 25 | | 29 | 5 | | 30 | 8 | | 31 | 15 | | 32 | 17 | | 33 | 6 | | 34 | 5 | | 35 | 15 | | 36 | 13 | | 37 | 10 | | 38 | 6 | | 39 | 3 | | 40 | 10 | | 41 | 7 | | 42 | 14 | | 43 | 13 | | 44 | 3 | | 45 | 3 | | 46 | 11 | | 47 | 11 | | 48 | 4 | | 49 | 2 |
| |
| 72.04% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.47580645161290325 | | totalSentences | 124 | | uniqueOpeners | 59 | |
| 68.73% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 97 | | matches | | 0 | "Just that unnatural cold radiating" | | 1 | "Just the hum of the" |
| | ratio | 0.021 | |
| 88.04% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 32 | | totalSentences | 97 | | matches | | 0 | "He fiddled with the strap" | | 1 | "She pushed past the tape," | | 2 | "His skin held a grey," | | 3 | "She crouched beside the body," | | 4 | "She checked the time." | | 5 | "She tilted his head." | | 6 | "She stood, brushing dust from" | | 7 | "Her eyes caught the floor" | | 8 | "It formed a pattern, a" | | 9 | "She pointed to the gap" | | 10 | "She remembered Morris." | | 11 | "She stepped onto the tracks." | | 12 | "Her torch beam cut through" | | 13 | "She traced the symbol" | | 14 | "She turned back to the" | | 15 | "It wasn't just a circle." | | 16 | "It was a funnel." | | 17 | "She crouched by the victim's" | | 18 | "She scanned the area again," | | 19 | "It wasn't growing from the" |
| | ratio | 0.33 | |
| 52.78% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 79 | | totalSentences | 97 | | matches | | 0 | "Rain slicked the cracked tiles" | | 1 | "Detective Harlow Quinn stepped over" | | 2 | "The air tasted of ozone" | | 3 | "He fiddled with the strap" | | 4 | "Quinn ignored him." | | 5 | "She pushed past the tape," | | 6 | "A man in a tattered" | | 7 | "His skin held a grey," | | 8 | "She crouched beside the body," | | 9 | "She checked the time." | | 10 | "Evans shuffled closer, keeping a" | | 11 | "Quinn ran a gloved finger" | | 12 | "Rigor mortis had set in" | | 13 | "She tilted his head." | | 14 | "The pupils were dilated, black" | | 15 | "She stood, brushing dust from" | | 16 | "Evans said, pointing a gloved" | | 17 | "Quinn walked a slow circle" | | 18 | "Her eyes caught the floor" | | 19 | "The frost didn't spread evenly." |
| | ratio | 0.814 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 97 | | matches | (empty) | | ratio | 0 | |
| 63.49% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 36 | | technicalSentenceCount | 4 | | matches | | 0 | "Detective Harlow Quinn stepped over the yellow tape, her boots crunching on shattered glass and something that looked like dried moss." | | 1 | "His skin held a grey, waxy sheen, and frost feathered across his clothes, melting into puddles that steamed in the damp air." | | 2 | "The bricks seemed to dissolve into a swirling mist, revealing a glimpse of a market stall draped in shadowy fabrics, voices chattering in a language that hurt h…" | | 3 | "She just watched, waiting for the next move, her instincts screaming that the real investigation had only just begun." |
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| 46.05% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 19 | | uselessAdditionCount | 3 | | matches | | 0 | "she said, more to herself than Evans" | | 1 | "she said, her voice steady despite the chill running down her spine" | | 2 | "She tucked, her fingers tightening around the plastic" |
| |
| 71.05% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 3 | | fancyTags | | 0 | "Quinn muttered (mutter)" | | 1 | "she ordered (order)" | | 2 | "Evans laughed (laugh)" |
| | dialogueSentences | 38 | | tagDensity | 0.158 | | leniency | 0.316 | | rawRatio | 0.5 | | effectiveRatio | 0.158 | |