| 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 | 1014 | | 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) | |
| 26.04% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1014 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "measured" | | 1 | "rhythmic" | | 2 | "perfect" | | 3 | "scanned" | | 4 | "etched" | | 5 | "traced" | | 6 | "furrowed" | | 7 | "vibrated" | | 8 | "chaotic" | | 9 | "silence" | | 10 | "weight" | | 11 | "gloom" |
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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 | 75 | | matches | (empty) | |
| 85.71% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 1 | | narrationSentences | 75 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 102 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 36 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1014 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 0 | | matches | (empty) | |
| 58.96% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 28 | | wordCount | 714 | | uniqueNames | 8 | | maxNameDensity | 1.82 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | Quinn | 13 | | Camden | 1 | | Miller | 6 | | Veil | 3 | | Compass | 2 | | North | 1 | | Market | 1 | | Morris | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Miller" | | 2 | "Compass" | | 3 | "Morris" |
| | places | (empty) | | globalScore | 0.59 | | windowScore | 0.667 | |
| 55.66% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 53 | | glossingSentenceCount | 2 | | matches | | 0 | "spiral that seemed to shift when she blinked" | | 1 | "sounded like grinding stones" |
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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 | 1014 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 102 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 55 | | mean | 18.44 | | std | 15.62 | | cv | 0.847 | | sampleLengths | | 0 | 45 | | 1 | 22 | | 2 | 59 | | 3 | 9 | | 4 | 26 | | 5 | 17 | | 6 | 4 | | 7 | 6 | | 8 | 11 | | 9 | 42 | | 10 | 5 | | 11 | 20 | | 12 | 42 | | 13 | 3 | | 14 | 34 | | 15 | 4 | | 16 | 28 | | 17 | 53 | | 18 | 5 | | 19 | 5 | | 20 | 17 | | 21 | 14 | | 22 | 52 | | 23 | 16 | | 24 | 7 | | 25 | 31 | | 26 | 42 | | 27 | 6 | | 28 | 8 | | 29 | 57 | | 30 | 3 | | 31 | 18 | | 32 | 7 | | 33 | 2 | | 34 | 13 | | 35 | 25 | | 36 | 2 | | 37 | 9 | | 38 | 38 | | 39 | 4 | | 40 | 24 | | 41 | 15 | | 42 | 14 | | 43 | 7 | | 44 | 11 | | 45 | 38 | | 46 | 14 | | 47 | 9 | | 48 | 6 | | 49 | 21 |
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| 95.91% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 75 | | matches | | 0 | "been dropped" | | 1 | "was etched" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 109 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 1 | | flaggedSentences | 1 | | totalSentences | 102 | | ratio | 0.01 | | matches | | 0 | "\"The wound is cauterized. Look at the edges. The skin didn't tear; it melted.\"" |
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| 82.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 718 | | adjectiveStacks | 3 | | stackExamples | | 0 | "against grime-slicked concrete." | | 1 | "rhythmic, sickly yellow light" | | 2 | "heavy, pressing against their" |
| | adverbCount | 10 | | adverbRatio | 0.013927576601671309 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.005571030640668524 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 102 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 102 | | mean | 9.94 | | std | 6.34 | | cv | 0.638 | | sampleLengths | | 0 | 5 | | 1 | 17 | | 2 | 8 | | 3 | 15 | | 4 | 10 | | 5 | 12 | | 6 | 15 | | 7 | 13 | | 8 | 16 | | 9 | 15 | | 10 | 9 | | 11 | 4 | | 12 | 9 | | 13 | 7 | | 14 | 6 | | 15 | 9 | | 16 | 8 | | 17 | 4 | | 18 | 6 | | 19 | 11 | | 20 | 3 | | 21 | 11 | | 22 | 3 | | 23 | 2 | | 24 | 23 | | 25 | 5 | | 26 | 20 | | 27 | 3 | | 28 | 5 | | 29 | 11 | | 30 | 5 | | 31 | 18 | | 32 | 3 | | 33 | 8 | | 34 | 7 | | 35 | 19 | | 36 | 4 | | 37 | 28 | | 38 | 3 | | 39 | 11 | | 40 | 7 | | 41 | 19 | | 42 | 7 | | 43 | 6 | | 44 | 5 | | 45 | 5 | | 46 | 17 | | 47 | 14 | | 48 | 12 | | 49 | 17 |
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| 39.87% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.30392156862745096 | | totalSentences | 102 | | uniqueOpeners | 31 | |
| 45.66% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 73 | | matches | | 0 | "Instead, she looked at the" |
| | ratio | 0.014 | |
| 93.97% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 23 | | totalSentences | 73 | | matches | | 0 | "She stopped at the edge" | | 1 | "Her left hand tightened around" | | 2 | "He pointed a gloved finger" | | 3 | "She knelt beside the body," | | 4 | "She didn't look at the" | | 5 | "She scanned the victim's pockets." | | 6 | "She lifted it with tweezers." | | 7 | "It was a piece of" | | 8 | "She slid the token into" | | 9 | "Her gaze drifted to the" | | 10 | "He wore no watch, but" | | 11 | "She walked to the wall" | | 12 | "She traced the grout between" | | 13 | "It led directly into the" | | 14 | "It spun violently for three" | | 15 | "She pressed the bone token" | | 16 | "It wasn't a crack in" | | 17 | "He looked at the undisturbed" | | 18 | "She felt the weight of" | | 19 | "She turned her back on" |
| | ratio | 0.315 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 69 | | totalSentences | 73 | | matches | | 0 | "Boots clicked against grime-slicked concrete." | | 1 | "Harlow Quinn descended the rusted" | | 2 | "The air tasted of ozone" | | 3 | "A single flickering fluorescent tube" | | 4 | "She stopped at the edge" | | 5 | "Her left hand tightened around" | | 6 | "DS Miller stood over the" | | 7 | "He pointed a gloved finger" | | 8 | "The victim wore a bespoke" | | 9 | "A silver-handled knife lay three" | | 10 | "Quinn stepped past him." | | 11 | "She knelt beside the body," | | 12 | "She didn't look at the" | | 13 | "A thick layer of grey" | | 14 | "The victim sat in the" | | 15 | "Miller exhaled a cloud of" | | 16 | "Quinn leaned closer." | | 17 | "The dust remained undisturbed in" | | 18 | "The man sat in a" | | 19 | "Quinn ignored him." |
| | ratio | 0.945 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 73 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 31 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 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 | |