| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 21 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 75 | | tagDensity | 0.28 | | leniency | 0.56 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1708 | | 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) | |
| 85.36% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1708 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "crystal" | | 1 | "silence" | | 2 | "etched" | | 3 | "perfect" | | 4 | "weight" |
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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 | 90 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 90 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 144 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 68 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1721 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 60.41% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 42 | | wordCount | 893 | | uniqueNames | 8 | | maxNameDensity | 1.79 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | Quinn | 16 | | Carver | 12 | | Dust | 1 | | Museum | 1 | | Freckles | 1 | | Eva | 9 | | Ball | 1 | | Coins | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Carver" | | 2 | "Dust" | | 3 | "Museum" | | 4 | "Freckles" | | 5 | "Eva" |
| | places | (empty) | | globalScore | 0.604 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 63 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1721 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 144 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 70 | | mean | 24.59 | | std | 20.89 | | cv | 0.85 | | sampleLengths | | 0 | 54 | | 1 | 12 | | 2 | 50 | | 3 | 5 | | 4 | 59 | | 5 | 20 | | 6 | 35 | | 7 | 23 | | 8 | 8 | | 9 | 3 | | 10 | 42 | | 11 | 8 | | 12 | 53 | | 13 | 3 | | 14 | 25 | | 15 | 30 | | 16 | 7 | | 17 | 41 | | 18 | 4 | | 19 | 22 | | 20 | 1 | | 21 | 2 | | 22 | 28 | | 23 | 10 | | 24 | 21 | | 25 | 1 | | 26 | 24 | | 27 | 8 | | 28 | 5 | | 29 | 14 | | 30 | 34 | | 31 | 2 | | 32 | 17 | | 33 | 49 | | 34 | 5 | | 35 | 44 | | 36 | 2 | | 37 | 56 | | 38 | 17 | | 39 | 7 | | 40 | 35 | | 41 | 51 | | 42 | 1 | | 43 | 8 | | 44 | 13 | | 45 | 63 | | 46 | 10 | | 47 | 47 | | 48 | 65 | | 49 | 13 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 90 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 146 | | matches | | |
| 23.81% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 144 | | ratio | 0.042 | | matches | | 0 | "She took the stairs the way she took rooms — corners first." | | 1 | "The body lay twenty feet in, on his back between the pillars, heels together like a laid-out man — except no one had laid him out." | | 2 | "She checked her own — worn leather, still running — and matched the minute." | | 3 | "At the far pillar, a woman had been watching since Quinn came down the stairs — round glasses fogged at the rims, red curls crushed under a wool hat, a satchel heavy with book spines dragging one shoulder down." | | 4 | "Stayed — fixed on that single brick like a dog on a scent." | | 5 | "She worked the fingers back one at a time — they gave with the sound of old twigs — and a disc of carved bone dropped into her palm, smaller than a pound coin, charred along one rim in a black crescent." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 893 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 12 | | adverbRatio | 0.013437849944008958 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.0022396416573348264 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 144 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 144 | | mean | 11.95 | | std | 11.15 | | cv | 0.933 | | sampleLengths | | 0 | 14 | | 1 | 28 | | 2 | 8 | | 3 | 4 | | 4 | 12 | | 5 | 11 | | 6 | 17 | | 7 | 22 | | 8 | 5 | | 9 | 13 | | 10 | 15 | | 11 | 26 | | 12 | 5 | | 13 | 4 | | 14 | 7 | | 15 | 9 | | 16 | 9 | | 17 | 26 | | 18 | 5 | | 19 | 18 | | 20 | 8 | | 21 | 3 | | 22 | 12 | | 23 | 20 | | 24 | 2 | | 25 | 8 | | 26 | 8 | | 27 | 17 | | 28 | 36 | | 29 | 3 | | 30 | 5 | | 31 | 20 | | 32 | 6 | | 33 | 10 | | 34 | 14 | | 35 | 4 | | 36 | 3 | | 37 | 2 | | 38 | 39 | | 39 | 4 | | 40 | 8 | | 41 | 14 | | 42 | 1 | | 43 | 2 | | 44 | 15 | | 45 | 4 | | 46 | 2 | | 47 | 7 | | 48 | 10 | | 49 | 16 |
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| 80.09% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.5138888888888888 | | totalSentences | 144 | | uniqueOpeners | 74 | |
| 40.65% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 82 | | matches | | 0 | "Somewhere north, water dripped once" |
| | ratio | 0.012 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 13 | | totalSentences | 82 | | matches | | 0 | "She took the stairs the" | | 1 | "She returned to the body" | | 2 | "She touched the floor an" | | 3 | "He stripped his second glove." | | 4 | "She checked her own —" | | 5 | "She let the silence do" | | 6 | "She rotated the compass a" | | 7 | "She walked him to it:" | | 8 | "She worked the fingers back" | | 9 | "She held it to the" | | 10 | "She laid the back of" | | 11 | "She turned the dead man's" | | 12 | "She nodded at the tray," |
| | ratio | 0.159 | |
| 39.27% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 69 | | totalSentences | 82 | | matches | | 0 | "The gate at the top" | | 1 | "The chain hung in two" | | 2 | "This one smelled used." | | 3 | "She took the stairs the" | | 4 | "A torch beam steadied on" | | 5 | "DS Carver, jeans ironed, collar" | | 6 | "Work lamps lit a stretch" | | 7 | "CSIs drifted through the glow" | | 8 | "The body lay twenty feet" | | 9 | "Rigor had done the folding." | | 10 | "A vendor's apron, wax-spotted." | | 11 | "Fingers pruned white, creased like" | | 12 | "Salt crusted gray at the" | | 13 | "Carver let the word stand" | | 14 | "Quinn followed the platform north." | | 15 | "The culvert mouth sat behind" | | 16 | "She returned to the body" | | 17 | "She touched the floor an" | | 18 | "The doctor, gray-haired, kneeling by" | | 19 | "He stripped his second glove." |
| | ratio | 0.841 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 82 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 26 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 21 | | uselessAdditionCount | 1 | | matches | | 0 | "Quinn set, and the needle swung hard against its glass and held" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |