| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 91.77% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1215 | | totalAiIsmAdverbs | 2 | | 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) | |
| 17.70% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1215 | | totalAiIsms | 20 | | found | | | highlights | | 0 | "chill" | | 1 | "standard" | | 2 | "pawn" | | 3 | "aligned" | | 4 | "weight" | | 5 | "shimmered" | | 6 | "pristine" | | 7 | "etched" | | 8 | "trembled" | | 9 | "traced" | | 10 | "gloom" | | 11 | "perfect" | | 12 | "pulsed" | | 13 | "rhythmic" | | 14 | "warmth" |
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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 | 224 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 5 | | hedgeCount | 0 | | narrationSentences | 224 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 224 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 19 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1215 | | ratio | 0 | | matches | (empty) | |
| 0.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 5 | | matches | | 0 | "Check the north tunnel, Quinn said." | | 1 | "The market, Quinn said." | | 2 | "He was a researcher, Quinn said." | | 3 | "Someone moved him, Graves said quietly." | | 4 | "I am talking about geometry, Quinn said." |
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| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 46 | | wordCount | 1215 | | uniqueNames | 11 | | maxNameDensity | 1.56 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | Camden | 2 | | Graves | 12 | | London | 2 | | Quinn | 19 | | Veil | 1 | | Compass | 1 | | Archives | 1 | | History | 1 | | Museum | 1 | | Shade | 2 | | You | 4 |
| | persons | | 0 | "Camden" | | 1 | "Graves" | | 2 | "Quinn" | | 3 | "Compass" | | 4 | "You" |
| | places | | | globalScore | 0.718 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 94 | | 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 | 1215 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 224 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 28 | | mean | 43.39 | | std | 32.5 | | cv | 0.749 | | sampleLengths | | 0 | 84 | | 1 | 15 | | 2 | 23 | | 3 | 99 | | 4 | 31 | | 5 | 82 | | 6 | 18 | | 7 | 68 | | 8 | 6 | | 9 | 13 | | 10 | 61 | | 11 | 9 | | 12 | 22 | | 13 | 90 | | 14 | 4 | | 15 | 16 | | 16 | 102 | | 17 | 22 | | 18 | 9 | | 19 | 56 | | 20 | 62 | | 21 | 6 | | 22 | 47 | | 23 | 74 | | 24 | 12 | | 25 | 87 | | 26 | 25 | | 27 | 72 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 224 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 214 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 224 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1218 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 26 | | adverbRatio | 0.021346469622331693 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.006568144499178982 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 224 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 224 | | mean | 5.42 | | std | 2.86 | | cv | 0.527 | | sampleLengths | | 0 | 11 | | 1 | 11 | | 2 | 8 | | 3 | 12 | | 4 | 19 | | 5 | 6 | | 6 | 17 | | 7 | 3 | | 8 | 12 | | 9 | 7 | | 10 | 3 | | 11 | 10 | | 12 | 3 | | 13 | 2 | | 14 | 7 | | 15 | 2 | | 16 | 2 | | 17 | 12 | | 18 | 5 | | 19 | 9 | | 20 | 3 | | 21 | 10 | | 22 | 5 | | 23 | 9 | | 24 | 6 | | 25 | 3 | | 26 | 6 | | 27 | 7 | | 28 | 11 | | 29 | 4 | | 30 | 5 | | 31 | 4 | | 32 | 5 | | 33 | 5 | | 34 | 8 | | 35 | 4 | | 36 | 6 | | 37 | 12 | | 38 | 7 | | 39 | 7 | | 40 | 2 | | 41 | 2 | | 42 | 3 | | 43 | 2 | | 44 | 2 | | 45 | 8 | | 46 | 13 | | 47 | 9 | | 48 | 3 | | 49 | 2 |
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| 49.85% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 25 | | diversityRatio | 0.36607142857142855 | | totalSentences | 224 | | uniqueOpeners | 82 | |
| 17.01% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 196 | | matches | | 0 | "Just rats and collapsed masonry." |
| | ratio | 0.005 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 50 | | totalSentences | 196 | | matches | | 0 | "Her leather watch ticked against" | | 1 | "She ran a gloved finger" | | 2 | "I scouted it myself." | | 3 | "She picked up a magnifying" | | 4 | "She rubbed it between thumb" | | 5 | "It crumbled into a fine," | | 6 | "You are looking at ritual" | | 7 | "You think a cult dragged" | | 8 | "She counted the evidence cones." | | 9 | "She knelt there." | | 10 | "I cleared it twice." | | 11 | "She dragged a gloved finger" | | 12 | "We are not looking at" | | 13 | "We are looking at an" | | 14 | "She paced the length of" | | 15 | "Her training mapped the space" | | 16 | "She examined the victim’s shoes." | | 17 | "She traced the dust trail." | | 18 | "It vanished at the pillar." | | 19 | "It led downward." |
| | ratio | 0.255 | |
| 56.94% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 158 | | totalSentences | 196 | | matches | | 0 | "Rain drummed against the rusted" | | 1 | "Quinn stepped through the frayed" | | 2 | "Her leather watch ticked against" | | 3 | "The station air carried iron," | | 4 | "A body lay sprawled near" | | 5 | "DS Graves stood by the" | | 6 | "Quarter past two." | | 7 | "Street kids found him when" | | 8 | "Graves tapped his pen against" | | 9 | "Throat slit, wallet taken, body" | | 10 | "The victim’s throat bore a" | | 11 | "Blood pooled only beneath the" | | 12 | "The coat pockets hung empty." | | 13 | "A wallet lay upside down" | | 14 | "Quinn flipped it." | | 15 | "Receipts for a pharmacy and" | | 16 | "Nothing matched a violent struggle." | | 17 | "She ran a gloved finger" | | 18 | "The lines showed no scuff" | | 19 | "The victim’s shoes faced the" |
| | ratio | 0.806 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 196 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 19 | | 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 | |