| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 3 | | tagDensity | 0.667 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.75% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1176 | | 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) | |
| 31.97% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1176 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "treacherous" | | 1 | "fractured" | | 2 | "maw" | | 3 | "charged" | | 4 | "tracing" | | 5 | "chill" | | 6 | "vibrated" | | 7 | "chaotic" | | 8 | "echoed" | | 9 | "cacophony" | | 10 | "footsteps" | | 11 | "gloom" | | 12 | "silence" | | 13 | "weight" | | 14 | "scanning" | | 15 | "anticipation" |
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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 | 99 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 99 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 100 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 13 | | totalWords | 1172 | | ratio | 0.011 | | matches | | 0 | "Useless. Just as useless as it was three years ago." | | 1 | "South Yard, now." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 19 | | wordCount | 1168 | | uniqueNames | 9 | | maxNameDensity | 0.77 | | worstName | "Quinn" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Quinn" | | discoveredNames | | Quinn | 9 | | Veil | 2 | | Market | 2 | | London | 1 | | Camden | 1 | | Tube | 1 | | Yard | 1 | | England | 1 | | Morris | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Market" | | 2 | "Morris" |
| | places | | 0 | "Veil" | | 1 | "London" | | 2 | "England" |
| | globalScore | 1 | | windowScore | 1 | |
| 91.18% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 85 | | glossingSentenceCount | 2 | | matches | | 0 | "fabric that seemed to shift color in the gloom" | | 1 | "looked like refugees from a nightmare" |
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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 | 1172 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 100 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 30 | | mean | 39.07 | | std | 19.85 | | cv | 0.508 | | sampleLengths | | 0 | 72 | | 1 | 49 | | 2 | 1 | | 3 | 42 | | 4 | 52 | | 5 | 51 | | 6 | 38 | | 7 | 10 | | 8 | 41 | | 9 | 52 | | 10 | 43 | | 11 | 4 | | 12 | 58 | | 13 | 43 | | 14 | 77 | | 15 | 16 | | 16 | 27 | | 17 | 52 | | 18 | 25 | | 19 | 34 | | 20 | 38 | | 21 | 60 | | 22 | 52 | | 23 | 13 | | 24 | 60 | | 25 | 44 | | 26 | 3 | | 27 | 54 | | 28 | 43 | | 29 | 18 |
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| 87.54% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 99 | | matches | | 0 | "was bolted" | | 1 | "been shrouded" | | 2 | "was replaced" | | 3 | "were lined" | | 4 | "was swallowed" | | 5 | "been taken" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 194 | | matches | | 0 | "was fleeing" | | 1 | "was waiting" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 4 | | flaggedSentences | 6 | | totalSentences | 100 | | ratio | 0.06 | | matches | | 0 | "She didn’t look at the fractured reflection of her face in the puddles; she kept her eyes locked on the figure ahead." | | 1 | "He wasn't just running; he was fleeing something far worse than a failing breathalyzer test." | | 2 | "Quinn knew the signs—the hunched shoulders, the darting glances." | | 3 | "It wasn't the scent of sewage or rot; it smelled of magic." | | 4 | "Weapons of all shapes and descriptions—knives made of black glass, clubs wrapped in barbed wire—hung from hooks like meat in a butcher shop." | | 5 | "Her voice didn't carry like she expected it to; the acoustics absorbed the volume, turning her command into a soft murmur." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1172 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 21 | | adverbRatio | 0.017918088737201365 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.005972696245733789 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 100 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 100 | | mean | 11.72 | | std | 5.95 | | cv | 0.508 | | sampleLengths | | 0 | 14 | | 1 | 21 | | 2 | 15 | | 3 | 22 | | 4 | 11 | | 5 | 14 | | 6 | 15 | | 7 | 9 | | 8 | 1 | | 9 | 9 | | 10 | 18 | | 11 | 15 | | 12 | 4 | | 13 | 23 | | 14 | 12 | | 15 | 13 | | 16 | 12 | | 17 | 24 | | 18 | 15 | | 19 | 9 | | 20 | 11 | | 21 | 8 | | 22 | 1 | | 23 | 9 | | 24 | 1 | | 25 | 9 | | 26 | 6 | | 27 | 8 | | 28 | 12 | | 29 | 15 | | 30 | 13 | | 31 | 8 | | 32 | 12 | | 33 | 11 | | 34 | 8 | | 35 | 3 | | 36 | 5 | | 37 | 11 | | 38 | 16 | | 39 | 4 | | 40 | 4 | | 41 | 4 | | 42 | 5 | | 43 | 13 | | 44 | 8 | | 45 | 19 | | 46 | 13 | | 47 | 11 | | 48 | 12 | | 49 | 20 |
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| 44.67% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.31 | | totalSentences | 100 | | uniqueOpeners | 31 | |
| 34.36% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 97 | | matches | | 0 | "Just the hiss of electrical" |
| | ratio | 0.01 | |
| 59.18% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 39 | | totalSentences | 97 | | matches | | 0 | "She sprinted down the narrow" | | 1 | "She didn’t look at the" | | 2 | "He wasn't just running; he" | | 3 | "Her tactical training kicked in," | | 4 | "She reached for her sidearm," | | 5 | "He ducked under a wooden" | | 6 | "She peered around the corner," | | 7 | "It was bolted shut from" | | 8 | "She crouched, pressing her back" | | 9 | "Her heart hammered against her" | | 10 | "She tapped the comms device" | | 11 | "She looked at the open" | | 12 | "It wasn't the scent of" | | 13 | "She crept forward, her military" | | 14 | "She reached for the doorframe," | | 15 | "You needed a key." | | 16 | "He was already inside." | | 17 | "It clicked shut behind her," | | 18 | "She stopped, pressing her hand" | | 19 | "It was a series of" |
| | ratio | 0.402 | |
| 27.01% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 84 | | totalSentences | 97 | | matches | | 0 | "She sprinted down the narrow" | | 1 | "She didn’t look at the" | | 2 | "The suspect weaved through the" | | 3 | "A heavy coat he’d tucked" | | 4 | "He wasn't just running; he" | | 5 | "Quinn knew the signs—the hunched" | | 6 | "The shout tore from her" | | 7 | "Her tactical training kicked in," | | 8 | "She reached for her sidearm," | | 9 | "The figure didn't stop." | | 10 | "He ducked under a wooden" | | 11 | "Quinn skidded to a halt," | | 12 | "She peered around the corner," | | 13 | "A concrete door stood ajar," | | 14 | "It was bolted shut from" | | 15 | "Rainwater pooled near the threshold" | | 16 | "She crouched, pressing her back" | | 17 | "Her heart hammered against her" | | 18 | "She tapped the comms device" | | 19 | "She looked at the open" |
| | ratio | 0.866 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 4 | | totalSentences | 97 | | matches | | 0 | "Just as useless as it" | | 1 | "To her left, a small," | | 2 | "Just as the files indicated." | | 3 | "If she went back to" |
| | ratio | 0.041 | |
| 84.31% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 61 | | technicalSentenceCount | 5 | | matches | | 0 | "She sprinted down the narrow alleyway, her breath hitching in her chest, the cold air stinging her lungs like broken glass." | | 1 | "He ducked under a wooden fence panel just ahead, disappearing into a shadowy recess that looked more like a ruin than an entrance." | | 2 | "The damp London chill was replaced by a stale, recycled air that smelled of strange spices and old iron." | | 3 | "She took a step forward, her boot crunching on something that crumbled like dry bones." | | 4 | "The Veil Market was dangerous territory, a black market where the only coin that mattered was the bone token in her pocket." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | 0 | "she whispered (whisper)" |
| | dialogueSentences | 3 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 1 | | effectiveRatio | 0.667 | |