| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 1 | | adverbTags | | 0 | "Eva said softly [softly]" |
| | dialogueSentences | 31 | | tagDensity | 0.484 | | leniency | 0.968 | | rawRatio | 0.067 | | effectiveRatio | 0.065 | |
| 89.01% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1365 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "sharply" | | 1 | "softly" | | 2 | "slightly" |
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| 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) | |
| 45.05% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1365 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "flickered" | | 1 | "reminder" | | 2 | "weight" | | 3 | "furrowed" | | 4 | "echoing" | | 5 | "silence" | | 6 | "etched" | | 7 | "pulse" | | 8 | "could feel" | | 9 | "grave" | | 10 | "shimmered" |
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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 | 120 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 0 | | narrationSentences | 120 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 135 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1365 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 52 | | wordCount | 1089 | | uniqueNames | 15 | | maxNameDensity | 2.2 | | worstName | "Quinn" | | maxWindowNameDensity | 4 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 24 | | Underground | 1 | | Camden | 1 | | Kowalski | 1 | | Eva | 11 | | Oxford | 1 | | North | 1 | | South | 1 | | Veil | 3 | | Market | 2 | | Morris | 2 | | Compass | 1 | | Shade | 1 | | July | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Camden" | | 3 | "Kowalski" | | 4 | "Eva" | | 5 | "Morris" |
| | places | | | globalScore | 0.398 | | windowScore | 0.333 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 78 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like she had seen it a thousand ti" |
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| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 3 | | per1kWords | 2.198 | | wordCount | 1365 | | matches | | 0 | "not settling but hunting, vibrating against the casing with a frequency she c" | | 1 | "Not the cold of the damp air, but a cold" | | 2 | "Not the soot of fire, but the silvery scarring of exposure to something" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 135 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 43 | | mean | 31.74 | | std | 18.69 | | cv | 0.589 | | sampleLengths | | 0 | 87 | | 1 | 72 | | 2 | 46 | | 3 | 3 | | 4 | 22 | | 5 | 68 | | 6 | 17 | | 7 | 23 | | 8 | 63 | | 9 | 23 | | 10 | 48 | | 11 | 28 | | 12 | 33 | | 13 | 50 | | 14 | 12 | | 15 | 29 | | 16 | 50 | | 17 | 21 | | 18 | 63 | | 19 | 47 | | 20 | 22 | | 21 | 38 | | 22 | 23 | | 23 | 4 | | 24 | 25 | | 25 | 5 | | 26 | 27 | | 27 | 31 | | 28 | 25 | | 29 | 23 | | 30 | 3 | | 31 | 34 | | 32 | 36 | | 33 | 15 | | 34 | 26 | | 35 | 17 | | 36 | 43 | | 37 | 33 | | 38 | 30 | | 39 | 24 | | 40 | 11 | | 41 | 34 | | 42 | 31 |
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| 96.49% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 120 | | matches | | 0 | "was cropped" | | 1 | "was etched" | | 2 | "been taken" |
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| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 11 | | totalVerbs | 190 | | matches | | 0 | "was settling" | | 1 | "was currently wiping" | | 2 | "wasn't pointing" | | 3 | "wasn't pointing" | | 4 | "was pointing" | | 5 | "was entering" | | 6 | "wasn't entering" | | 7 | "was stuttering" | | 8 | "was pointing" | | 9 | "was offering" | | 10 | "was lingering" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 1 | | flaggedSentences | 1 | | totalSentences | 135 | | ratio | 0.007 | | matches | | 0 | "The station wasn't technically in the Veil Market yet; it was the waiting room." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1091 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 37 | | adverbRatio | 0.03391384051329056 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.010999083409715857 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 135 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 135 | | mean | 10.11 | | std | 6.42 | | cv | 0.635 | | sampleLengths | | 0 | 6 | | 1 | 22 | | 2 | 31 | | 3 | 28 | | 4 | 12 | | 5 | 23 | | 6 | 22 | | 7 | 5 | | 8 | 10 | | 9 | 11 | | 10 | 25 | | 11 | 5 | | 12 | 5 | | 13 | 3 | | 14 | 5 | | 15 | 3 | | 16 | 14 | | 17 | 18 | | 18 | 20 | | 19 | 18 | | 20 | 12 | | 21 | 8 | | 22 | 9 | | 23 | 23 | | 24 | 3 | | 25 | 19 | | 26 | 11 | | 27 | 18 | | 28 | 12 | | 29 | 5 | | 30 | 8 | | 31 | 10 | | 32 | 4 | | 33 | 6 | | 34 | 6 | | 35 | 4 | | 36 | 4 | | 37 | 4 | | 38 | 20 | | 39 | 17 | | 40 | 11 | | 41 | 15 | | 42 | 18 | | 43 | 8 | | 44 | 20 | | 45 | 6 | | 46 | 16 | | 47 | 9 | | 48 | 3 | | 49 | 14 |
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| 38.89% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 15 | | diversityRatio | 0.23703703703703705 | | totalSentences | 135 | | uniqueOpeners | 32 | |
| 64.10% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 104 | | matches | | 0 | "Just a gap in the" | | 1 | "Just a hole in the" |
| | ratio | 0.019 | |
| 50.77% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 44 | | totalSentences | 104 | | matches | | 0 | "It carried the metallic tang" | | 1 | "Her salt-and-pepper hair was cropped" | | 2 | "She ran a hand over" | | 3 | "She tapped her left wrist." | | 4 | "She looked at the ground." | | 5 | "It was dry." | | 6 | "She wore her round glasses," | | 7 | "She tucked a stray lock" | | 8 | "She reached into her satchel" | | 9 | "It was heavy brass, tarnished" | | 10 | "Her green eyes were wide" | | 11 | "Her fingers brushed the cold" | | 12 | "It was cold enough to" | | 13 | "She checked the needle." | | 14 | "It wasn't pointing North." | | 15 | "It wasn't pointing South." | | 16 | "It was pointing at the" | | 17 | "She glanced back at the" | | 18 | "It was a young man," | | 19 | "She had bypassed the token" |
| | ratio | 0.423 | |
| 17.69% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 92 | | totalSentences | 104 | | matches | | 0 | "The air down here tasted" | | 1 | "It carried the metallic tang" | | 2 | "Detective Harlow Quinn adjusted the" | | 3 | "The abandoned Underground station beneath" | | 4 | "Quinn’s boots clicked sharply against" | | 5 | "Her salt-and-pepper hair was cropped" | | 6 | "She ran a hand over" | | 7 | "She tapped her left wrist." | | 8 | "The worn leather strap of" | | 9 | "A body lay on the" | | 10 | "Quinn didn't look at them." | | 11 | "She looked at the ground." | | 12 | "It was dry." | | 13 | "The dust had settled undisturbed" | | 14 | "Eva Kowalski stood near the" | | 15 | "The red curls peered out" | | 16 | "She wore her round glasses," | | 17 | "Quinn approached Eva, stopping just" | | 18 | "The proximity felt intimate in" | | 19 | "Quinn’s voice was low, cutting" |
| | ratio | 0.885 | |
| 48.08% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 104 | | matches | | 0 | "If this compass was genuine," |
| | ratio | 0.01 | |
| 43.19% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 43 | | technicalSentenceCount | 6 | | matches | | 0 | "It carried the metallic tang of old copper and the damp, organic smell of soil that hadn't seen light in a century." | | 1 | "Detective Harlow Quinn adjusted the collar of her coat, the fabric stiff against her neck, and stepped over the yellow crime scene tape that had been hastily dr…" | | 2 | "The abandoned Underground station beneath Camden smelled of ozone, a scent that didn't belong on a crime scene unless you knew the specific, unnatural signature…" | | 3 | "Two uniformed officers stood back, looking uneasy, shifting their weight from one foot to the other as if the cold was settling into their bones." | | 4 | "It was pointing at the wall behind the body, specifically at a section of crumbling brickwork that looked structurally sound." | | 5 | "Not the cold of the damp air, but a cold that drained heat from the skin, leaving a numbness that spread up her arm." |
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| 25.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 3 | | matches | | 0 | "Eva corrected, her voice trembling slightly" | | 1 | "Quinn said, not turning around" | | 2 | "Quinn said, her eyes narrowing to slits" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 14 | | fancyCount | 7 | | fancyTags | | 0 | "Quinn stated (state)" | | 1 | "Eva corrected (correct)" | | 2 | "Quinn lied (lie)" | | 3 | "Quinn murmured (murmur)" | | 4 | "Quinn ordered (order)" | | 5 | "Quinn snapped (snap)" | | 6 | "Eva whispered (whisper)" |
| | dialogueSentences | 31 | | tagDensity | 0.452 | | leniency | 0.903 | | rawRatio | 0.5 | | effectiveRatio | 0.452 | |