| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1043 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 13.71% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1043 | | totalAiIsms | 18 | | found | | | highlights | | 0 | "gloom" | | 1 | "efficient" | | 2 | "intensity" | | 3 | "silk" | | 4 | "tracing" | | 5 | "tension" | | 6 | "perfect" | | 7 | "chaotic" | | 8 | "pristine" | | 9 | "glint" | | 10 | "etched" | | 11 | "charm" | | 12 | "familiar" | | 13 | "warmth" | | 14 | "pulsed" | | 15 | "rhythmic" |
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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 | 58 | | matches | (empty) | |
| 93.60% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 58 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 87 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 35 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1041 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 81.41% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 20 | | wordCount | 729 | | uniqueNames | 5 | | maxNameDensity | 1.37 | | worstName | "Harlow" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Harlow" | | discoveredNames | | Maglite | 1 | | Camden | 1 | | Morris | 1 | | Harlow | 10 | | Miller | 7 |
| | persons | | 0 | "Maglite" | | 1 | "Morris" | | 2 | "Harlow" | | 3 | "Miller" |
| | places | (empty) | | globalScore | 0.814 | | windowScore | 0.833 | |
| 47.96% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 49 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like crushed pearl, or perhaps the" | | 1 | "sigils that seemed to writhe when the light hit them" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.961 | | wordCount | 1041 | | matches | | 0 | "Not just out of place, but fundamentally incorrect to the eye" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 87 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 53 | | mean | 19.64 | | std | 16.81 | | cv | 0.856 | | sampleLengths | | 0 | 60 | | 1 | 10 | | 2 | 31 | | 3 | 44 | | 4 | 1 | | 5 | 9 | | 6 | 29 | | 7 | 47 | | 8 | 2 | | 9 | 13 | | 10 | 3 | | 11 | 6 | | 12 | 3 | | 13 | 30 | | 14 | 22 | | 15 | 29 | | 16 | 3 | | 17 | 5 | | 18 | 22 | | 19 | 5 | | 20 | 47 | | 21 | 10 | | 22 | 12 | | 23 | 10 | | 24 | 73 | | 25 | 3 | | 26 | 48 | | 27 | 5 | | 28 | 12 | | 29 | 2 | | 30 | 5 | | 31 | 35 | | 32 | 16 | | 33 | 12 | | 34 | 11 | | 35 | 46 | | 36 | 8 | | 37 | 30 | | 38 | 12 | | 39 | 10 | | 40 | 20 | | 41 | 14 | | 42 | 32 | | 43 | 34 | | 44 | 7 | | 45 | 2 | | 46 | 29 | | 47 | 49 | | 48 | 17 | | 49 | 19 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 58 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 108 | | matches | (empty) | |
| 77.18% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 87 | | ratio | 0.023 | | matches | | 0 | "The air tasted of wet iron and something sharper—the metallic tang of ozone that always preceded a lightning strike." | | 1 | "Harlow felt the familiar, heavy ache in her chest—the same sensation that had preceded the loss of Morris." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 732 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 22 | | adverbRatio | 0.030054644808743168 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.009562841530054645 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 87 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 87 | | mean | 11.97 | | std | 6.79 | | cv | 0.567 | | sampleLengths | | 0 | 25 | | 1 | 16 | | 2 | 19 | | 3 | 10 | | 4 | 17 | | 5 | 14 | | 6 | 8 | | 7 | 6 | | 8 | 5 | | 9 | 25 | | 10 | 1 | | 11 | 9 | | 12 | 29 | | 13 | 2 | | 14 | 13 | | 15 | 5 | | 16 | 13 | | 17 | 14 | | 18 | 2 | | 19 | 13 | | 20 | 3 | | 21 | 6 | | 22 | 3 | | 23 | 13 | | 24 | 17 | | 25 | 22 | | 26 | 10 | | 27 | 19 | | 28 | 3 | | 29 | 5 | | 30 | 22 | | 31 | 5 | | 32 | 9 | | 33 | 5 | | 34 | 17 | | 35 | 16 | | 36 | 10 | | 37 | 12 | | 38 | 10 | | 39 | 8 | | 40 | 8 | | 41 | 12 | | 42 | 18 | | 43 | 7 | | 44 | 3 | | 45 | 17 | | 46 | 3 | | 47 | 8 | | 48 | 23 | | 49 | 17 |
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| 49.04% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.3218390804597701 | | totalSentences | 87 | | uniqueOpeners | 28 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 57 | | matches | (empty) | | ratio | 0 | |
| 37.54% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 26 | | totalSentences | 57 | | matches | | 0 | "He wiped sweat from his" | | 1 | "She didn't look at the" | | 2 | "Her eyes tracked the perimeter." | | 3 | "She noted the way the" | | 4 | "She focused on the victim." | | 5 | "She pointed to the skin" | | 6 | "She didn't move her head," | | 7 | "She shone the light upward." | | 8 | "They stopped exactly six feet" | | 9 | "It wasn't a jagged rip" | | 10 | "It was a perfect, circular" | | 11 | "It looked as if the" | | 12 | "She looked at the silt" | | 13 | "She nudged the victim's right" | | 14 | "She noticed a faint, shimmering" | | 15 | "It looked like crushed pearl," | | 16 | "She leaned closer, the scent" | | 17 | "She turned the beam toward" | | 18 | "She used a pen to" | | 19 | "It was a small, brass" |
| | ratio | 0.456 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 53 | | totalSentences | 57 | | matches | | 0 | "The beam of the heavy" | | 1 | "Harlow stepped over a rusted" | | 2 | "The air tasted of wet" | | 3 | "Miller stood over a slumped" | | 4 | "He wiped sweat from his" | | 5 | "Harlow bypassed him, her movements" | | 6 | "She didn't look at the" | | 7 | "Her eyes tracked the perimeter." | | 8 | "She noted the way the" | | 9 | "Miller gestured toward the body" | | 10 | "The dampness of the floor" | | 11 | "She focused on the victim." | | 12 | "The man lay sprawled in" | | 13 | "A dark pool of blood" | | 14 | "Harlow reached out, her gloved" | | 15 | "Miller leaned in, his breath" | | 16 | "She pointed to the skin" | | 17 | "A heavy, gold timepiece remained" | | 18 | "Harlow shifted her gaze from" | | 19 | "She didn't move her head," |
| | ratio | 0.93 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 57 | | matches | (empty) | | ratio | 0 | |
| 89.29% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 40 | | technicalSentenceCount | 3 | | matches | | 0 | "It was a small, brass casing, etched with tiny, swirling sigils that seemed to writhe when the light hit them." | | 1 | "Harlow felt the familiar, heavy ache in her chest—the same sensation that had preceded the loss of Morris." | | 2 | "It pulsed, a slow, rhythmic expansion and contraction that mimicked a heartbeat." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |