| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 46 | | adverbTagCount | 3 | | adverbTags | | 0 | "Quinn crouched again [again]" | | 1 | "Eva stepped back [back]" | | 2 | "Quinn spun around [around]" |
| | dialogueSentences | 97 | | tagDensity | 0.474 | | leniency | 0.948 | | rawRatio | 0.065 | | effectiveRatio | 0.062 | |
| 96.85% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1587 | | 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) | |
| 65.34% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1587 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "pulse" | | 1 | "traced" | | 2 | "beacon" | | 3 | "etched" | | 4 | "vibrated" | | 5 | "pulsed" | | 6 | "flickered" | | 7 | "silence" | | 8 | "echoed" | | 9 | "trembled" | | 10 | "familiar" |
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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 | 222 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 5 | | narrationSentences | 222 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 273 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 30 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1587 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 23 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 82 | | wordCount | 1109 | | uniqueNames | 6 | | maxNameDensity | 3.97 | | worstName | "Quinn" | | maxWindowNameDensity | 6 | | worstWindowName | "Quinn" | | discoveredNames | | Eva | 28 | | Quinn | 44 | | Compass | 6 | | Rare | 1 | | Harlow | 2 | | Morris | 1 |
| | persons | | 0 | "Eva" | | 1 | "Quinn" | | 2 | "Compass" | | 3 | "Morris" |
| | places | (empty) | | globalScore | 0 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 71 | | glossingSentenceCount | 1 | | matches | | 0 | "sounded like stones grinding together" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.63 | | wordCount | 1587 | | matches | | 0 | "not at the tracks, but at the far wall" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 273 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 136 | | mean | 11.67 | | std | 10.75 | | cv | 0.922 | | sampleLengths | | 0 | 71 | | 1 | 41 | | 2 | 33 | | 3 | 28 | | 4 | 28 | | 5 | 31 | | 6 | 12 | | 7 | 29 | | 8 | 8 | | 9 | 22 | | 10 | 9 | | 11 | 14 | | 12 | 42 | | 13 | 48 | | 14 | 5 | | 15 | 33 | | 16 | 25 | | 17 | 26 | | 18 | 28 | | 19 | 5 | | 20 | 35 | | 21 | 6 | | 22 | 24 | | 23 | 19 | | 24 | 17 | | 25 | 3 | | 26 | 28 | | 27 | 17 | | 28 | 21 | | 29 | 7 | | 30 | 1 | | 31 | 25 | | 32 | 13 | | 33 | 26 | | 34 | 9 | | 35 | 13 | | 36 | 4 | | 37 | 14 | | 38 | 13 | | 39 | 4 | | 40 | 13 | | 41 | 2 | | 42 | 4 | | 43 | 26 | | 44 | 7 | | 45 | 2 | | 46 | 13 | | 47 | 19 | | 48 | 22 | | 49 | 13 |
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| 91.04% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 9 | | totalSentences | 222 | | matches | | 0 | "were rusted" | | 1 | "was scuffed" | | 2 | "was etched" | | 3 | "was rusted" | | 4 | "was gone" | | 5 | "was gone" | | 6 | "was gone" | | 7 | "was gone" | | 8 | "were covered" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 239 | | matches | | 0 | "was shaking" | | 1 | "was pointing" | | 2 | "was rising" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 273 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1109 | | adjectiveStacks | 1 | | stackExamples | | 0 | "faint purple light pulsed" |
| | adverbCount | 24 | | adverbRatio | 0.02164111812443643 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.002705139765554554 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 273 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 273 | | mean | 5.81 | | std | 3.73 | | cv | 0.641 | | sampleLengths | | 0 | 10 | | 1 | 15 | | 2 | 6 | | 3 | 2 | | 4 | 15 | | 5 | 7 | | 6 | 16 | | 7 | 14 | | 8 | 7 | | 9 | 9 | | 10 | 11 | | 11 | 7 | | 12 | 11 | | 13 | 9 | | 14 | 6 | | 15 | 11 | | 16 | 4 | | 17 | 13 | | 18 | 2 | | 19 | 10 | | 20 | 8 | | 21 | 4 | | 22 | 4 | | 23 | 13 | | 24 | 5 | | 25 | 5 | | 26 | 5 | | 27 | 3 | | 28 | 5 | | 29 | 7 | | 30 | 16 | | 31 | 5 | | 32 | 8 | | 33 | 8 | | 34 | 14 | | 35 | 8 | | 36 | 6 | | 37 | 3 | | 38 | 7 | | 39 | 7 | | 40 | 12 | | 41 | 30 | | 42 | 4 | | 43 | 4 | | 44 | 4 | | 45 | 4 | | 46 | 16 | | 47 | 5 | | 48 | 11 | | 49 | 5 |
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| 39.01% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 30 | | diversityRatio | 0.2454212454212454 | | totalSentences | 273 | | uniqueOpeners | 67 | |
| 34.72% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 192 | | matches | | 0 | "Just the cold, grey patina" | | 1 | "Just the tunnel." |
| | ratio | 0.01 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 40 | | totalSentences | 192 | | matches | | 0 | "Her gloved fingers traced the" | | 1 | "She looked up at the" | | 2 | "She tucked a stray lock" | | 3 | "She stood up and walked" | | 4 | "She pointed her torch at" | | 5 | "She looked at Eva." | | 6 | "She held up her phone." | | 7 | "Her finger came away black." | | 8 | "She flipped it over." | | 9 | "It pointed not at the" | | 10 | "She ran her hand over" | | 11 | "Her green eyes narrowed." | | 12 | "She checked her watch." | | 13 | "She pressed the victim's ear." | | 14 | "It drifted away from the" | | 15 | "She looked at the body" | | 16 | "It hadn't moved." | | 17 | "Her voice was shaking." | | 18 | "She dropped it." | | 19 | "It hit the concrete with" |
| | ratio | 0.208 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 181 | | totalSentences | 192 | | matches | | 0 | "Quinn knelt beside the body" | | 1 | "Her gloved fingers traced the" | | 2 | "The skin had a waxy" | | 3 | "She looked up at the" | | 4 | "The tiles hung loose, dust" | | 5 | "Eva said from the shadows" | | 6 | "The red curls bounced as" | | 7 | "She tucked a stray lock" | | 8 | "She stood up and walked" | | 9 | "The tracks were rusted shut," | | 10 | "Eva held her satchel strap" | | 11 | "The leather was scuffed." | | 12 | "The halogen bulbs overhead buzzed" | | 13 | "She pointed her torch at" | | 14 | "The casing was hot." | | 15 | "She looked at Eva." | | 16 | "Eva walked over to the" | | 17 | "She held up her phone." | | 18 | "The flash illuminated the surface." | | 19 | "Symbols burned into the mortar." |
| | ratio | 0.943 | |
| 26.04% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 192 | | matches | | 0 | "To look was to invite." |
| | ratio | 0.005 | |
| 87.91% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 13 | | technicalSentenceCount | 1 | | matches | | 0 | "Just the cold, grey patina of stone that coated the rest of the abandoned platform." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 46 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 19 | | fancyCount | 3 | | fancyTags | | 0 | "Eva whispered (whisper)" | | 1 | "Eva whispered (whisper)" | | 2 | "Quinn shouted (shout)" |
| | dialogueSentences | 97 | | tagDensity | 0.196 | | leniency | 0.392 | | rawRatio | 0.158 | | effectiveRatio | 0.062 | |