| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 23 | | tagDensity | 0.043 | | leniency | 0.087 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1137 | | 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) | |
| 25.24% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1137 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "rhythmic" | | 1 | "tension" | | 2 | "weight" | | 3 | "etched" | | 4 | "scanning" | | 5 | "intensity" | | 6 | "shimmered" | | 7 | "perfect" | | 8 | "depths" | | 9 | "charm" | | 10 | "echoed" | | 11 | "firmly" | | 12 | "familiar" | | 13 | "pulse" |
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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 | 73 | | matches | (empty) | |
| 45.01% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 3 | | narrationSentences | 73 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 95 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 30 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1136 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.77% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 32 | | wordCount | 841 | | uniqueNames | 7 | | maxNameDensity | 1.66 | | worstName | "Miller" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Miller" | | discoveredNames | | Harlow | 1 | | Quinn | 13 | | Miller | 14 | | Camden | 1 | | Morris | 1 | | July | 1 | | Greek | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Miller" | | 3 | "Morris" |
| | places | | | globalScore | 0.668 | | windowScore | 0.833 | |
| 75.37% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 67 | | glossingSentenceCount | 2 | | matches | | 0 | "sigils that seemed to shift when she tilted the device" | | 1 | "looked like a mixture of Greek and someth" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.88 | | wordCount | 1136 | | matches | | 0 | "not touching the body, but hovering inches from the fabric of the suit" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 95 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 48 | | mean | 23.67 | | std | 19.27 | | cv | 0.814 | | sampleLengths | | 0 | 65 | | 1 | 33 | | 2 | 19 | | 3 | 63 | | 4 | 10 | | 5 | 27 | | 6 | 52 | | 7 | 5 | | 8 | 7 | | 9 | 17 | | 10 | 49 | | 11 | 9 | | 12 | 7 | | 13 | 21 | | 14 | 61 | | 15 | 4 | | 16 | 4 | | 17 | 9 | | 18 | 71 | | 19 | 28 | | 20 | 7 | | 21 | 8 | | 22 | 11 | | 23 | 46 | | 24 | 10 | | 25 | 10 | | 26 | 26 | | 27 | 44 | | 28 | 24 | | 29 | 14 | | 30 | 30 | | 31 | 40 | | 32 | 51 | | 33 | 13 | | 34 | 6 | | 35 | 15 | | 36 | 52 | | 37 | 7 | | 38 | 26 | | 39 | 15 | | 40 | 39 | | 41 | 7 | | 42 | 16 | | 43 | 6 | | 44 | 2 | | 45 | 2 | | 46 | 38 | | 47 | 10 |
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| 95.65% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 73 | | matches | | 0 | "were cauterized" | | 1 | "was etched" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 138 | | matches | (empty) | |
| 82.71% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 1 | | flaggedSentences | 2 | | totalSentences | 95 | | ratio | 0.021 | | matches | | 0 | "She remembered the files on the \"clique\" she had been tracking—the whispers of a market that didn't exist on any map, a place that required a toll for entry." | | 1 | "It wasn't a stab; it was a rejection." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 846 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 18 | | adverbRatio | 0.02127659574468085 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.00591016548463357 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 95 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 95 | | mean | 11.96 | | std | 6.51 | | cv | 0.545 | | sampleLengths | | 0 | 11 | | 1 | 19 | | 2 | 19 | | 3 | 16 | | 4 | 19 | | 5 | 14 | | 6 | 19 | | 7 | 3 | | 8 | 17 | | 9 | 7 | | 10 | 14 | | 11 | 22 | | 12 | 10 | | 13 | 27 | | 14 | 6 | | 15 | 16 | | 16 | 8 | | 17 | 8 | | 18 | 6 | | 19 | 8 | | 20 | 5 | | 21 | 7 | | 22 | 17 | | 23 | 10 | | 24 | 14 | | 25 | 5 | | 26 | 10 | | 27 | 10 | | 28 | 9 | | 29 | 7 | | 30 | 21 | | 31 | 3 | | 32 | 13 | | 33 | 7 | | 34 | 11 | | 35 | 6 | | 36 | 21 | | 37 | 4 | | 38 | 4 | | 39 | 9 | | 40 | 6 | | 41 | 16 | | 42 | 18 | | 43 | 14 | | 44 | 17 | | 45 | 12 | | 46 | 16 | | 47 | 7 | | 48 | 8 | | 49 | 11 |
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| 43.51% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.30526315789473685 | | totalSentences | 95 | | uniqueOpeners | 29 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 72 | | matches | (empty) | | ratio | 0 | |
| 86.67% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 24 | | totalSentences | 72 | | matches | | 0 | "She adjusted the worn leather" | | 1 | "He chewed on a toothpick," | | 2 | "She walked toward the victim" | | 3 | "He wore a tailored charcoal" | | 4 | "His eyes stared wide at" | | 5 | "She leaned in, not touching" | | 6 | "She noted the absence of" | | 7 | "She produced a high-intensity UV" | | 8 | "It wasn't blood or chemical" | | 9 | "It shimmered with a pearlescent" | | 10 | "She walked to the edge" | | 11 | "She reached down and picked" | | 12 | "It was a small piece" | | 13 | "She remembered the files on" | | 14 | "She looked at the wound" | | 15 | "It wasn't a stab; it" | | 16 | "She noticed a detail Miller" | | 17 | "She reached in and retrieved" | | 18 | "It was a small brass" | | 19 | "It spun wildly for a" |
| | ratio | 0.333 | |
| 15.56% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 64 | | totalSentences | 72 | | matches | | 0 | "Dust motes danced in the" | | 1 | "Detective Harlow Quinn stepped off" | | 2 | "She adjusted the worn leather" | | 3 | "DS Miller stood over the" | | 4 | "He chewed on a toothpick," | | 5 | "Quinn didn't answer." | | 6 | "She walked toward the victim" | | 7 | "The man lay sprawled on" | | 8 | "He wore a tailored charcoal" | | 9 | "His eyes stared wide at" | | 10 | "Miller pointed toward a jagged" | | 11 | "Quinn knelt, her sharp jaw" | | 12 | "She leaned in, not touching" | | 13 | "She noted the absence of" | | 14 | "The charcoal fabric around the" | | 15 | "Miller shrugged, glancing around the" | | 16 | "Quinn shifted her position, scanning" | | 17 | "A layer of grey silt" | | 18 | "The body sat atop the" | | 19 | "Miller let out a short," |
| | ratio | 0.889 | |
| 69.44% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 72 | | matches | | 0 | "However, on the floor just" |
| | ratio | 0.014 | |
| 30.08% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 38 | | technicalSentenceCount | 6 | | matches | | 0 | "Dust motes danced in the beams of heavy-duty flashlights, illuminating a tunnel that smelled of copper and ancient grease." | | 1 | "He wore a tailored charcoal suit that cost more than Miller’s annual car payments." | | 2 | "The edges of the skin were cauterized, the flesh blackened as if burned by an intense, localized heat." | | 3 | "The casing had a heavy patina of verdigris, and the face was etched with strange, protective sigils that seemed to shift when she tilted the device." | | 4 | "Miller stepped forward, intending to take the compass, but Quinn stepped back, her military bearing snapping into place." | | 5 | "He pulled out a scrap of parchment, written in a script that looked like a mixture of Greek and something far older." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |