| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 81.33% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1071 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "slowly" | | 1 | "precisely" | | 2 | "suddenly" |
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| 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) | |
| 29.97% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1071 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "synthetic" | | 1 | "shimmered" | | 2 | "weight" | | 3 | "chaotic" | | 4 | "ephemeral" | | 5 | "pulse" | | 6 | "furrowed" | | 7 | "etched" | | 8 | "firmly" | | 9 | "rhythmic" | | 10 | "echoed" | | 11 | "beacon" | | 12 | "footsteps" |
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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 | 62 | | matches | (empty) | |
| 27.65% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 4 | | narrationSentences | 62 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 93 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 34 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1071 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 25 | | wordCount | 867 | | uniqueNames | 9 | | maxNameDensity | 0.92 | | worstName | "Quinn" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Miller" | | discoveredNames | | Italian | 1 | | Veil | 2 | | Market | 2 | | Miller | 7 | | Tube | 1 | | Morris | 2 | | North | 1 | | Shade | 1 | | Quinn | 8 |
| | persons | | 0 | "Market" | | 1 | "Miller" | | 2 | "Morris" | | 3 | "Quinn" |
| | places | (empty) | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 51 | | glossingSentenceCount | 1 | | matches | | 0 | "sounded like a million insects crossing a" |
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| 13.26% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.867 | | wordCount | 1071 | | matches | | 0 | "Not two, not ten, but hundreds" | | 1 | "not ten, but hundreds" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 93 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 53 | | mean | 20.21 | | std | 19.9 | | cv | 0.985 | | sampleLengths | | 0 | 71 | | 1 | 11 | | 2 | 51 | | 3 | 11 | | 4 | 5 | | 5 | 3 | | 6 | 37 | | 7 | 4 | | 8 | 12 | | 9 | 16 | | 10 | 66 | | 11 | 49 | | 12 | 2 | | 13 | 4 | | 14 | 10 | | 15 | 15 | | 16 | 64 | | 17 | 5 | | 18 | 15 | | 19 | 27 | | 20 | 8 | | 21 | 6 | | 22 | 51 | | 23 | 4 | | 24 | 4 | | 25 | 12 | | 26 | 52 | | 27 | 16 | | 28 | 2 | | 29 | 2 | | 30 | 25 | | 31 | 3 | | 32 | 1 | | 33 | 3 | | 34 | 46 | | 35 | 3 | | 36 | 1 | | 37 | 31 | | 38 | 35 | | 39 | 3 | | 40 | 4 | | 41 | 41 | | 42 | 53 | | 43 | 16 | | 44 | 5 | | 45 | 31 | | 46 | 5 | | 47 | 41 | | 48 | 25 | | 49 | 3 |
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| 88.29% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 62 | | matches | | 0 | "being watched" | | 1 | "been pressed" | | 2 | "was etched" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 141 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 93 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 871 | | adjectiveStacks | 1 | | stackExamples | | 0 | "ancient, leather-bound journals" |
| | adverbCount | 20 | | adverbRatio | 0.022962112514351322 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.010332950631458095 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 93 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 93 | | mean | 11.52 | | std | 7.96 | | cv | 0.691 | | sampleLengths | | 0 | 16 | | 1 | 34 | | 2 | 21 | | 3 | 11 | | 4 | 20 | | 5 | 31 | | 6 | 11 | | 7 | 5 | | 8 | 3 | | 9 | 14 | | 10 | 5 | | 11 | 8 | | 12 | 7 | | 13 | 3 | | 14 | 4 | | 15 | 4 | | 16 | 8 | | 17 | 16 | | 18 | 7 | | 19 | 22 | | 20 | 18 | | 21 | 19 | | 22 | 21 | | 23 | 28 | | 24 | 2 | | 25 | 4 | | 26 | 10 | | 27 | 15 | | 28 | 3 | | 29 | 16 | | 30 | 23 | | 31 | 22 | | 32 | 5 | | 33 | 15 | | 34 | 27 | | 35 | 8 | | 36 | 6 | | 37 | 12 | | 38 | 15 | | 39 | 4 | | 40 | 20 | | 41 | 4 | | 42 | 4 | | 43 | 12 | | 44 | 11 | | 45 | 23 | | 46 | 5 | | 47 | 13 | | 48 | 16 | | 49 | 2 |
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| 41.58% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 13 | | diversityRatio | 0.3333333333333333 | | totalSentences | 93 | | uniqueOpeners | 31 | |
| 53.76% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 62 | | matches | | 0 | "Instead, she leaned in, observing" |
| | ratio | 0.016 | |
| 84.52% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 21 | | totalSentences | 62 | | matches | | 0 | "He was pale, his skin" | | 1 | "He didn't see the way" | | 2 | "She didn't touch the body." | | 3 | "They weren't dilated, nor were" | | 4 | "They were hexagonal." | | 5 | "She walked toward the nearest" | | 6 | "She reached into her pocket," | | 7 | "She didn't like the way" | | 8 | "It reminded her too much" | | 9 | "She spotted a faint, circular" | | 10 | "It wasn't a footprint." | | 11 | "It was a geometric pattern," | | 12 | "She reached into her coat" | | 13 | "It spun violently for a" | | 14 | "They were conduits." | | 15 | "They were tall, spindly things," | | 16 | "They didn't speak, but the" | | 17 | "They stopped ten feet away," | | 18 | "She looked at the obsidian" | | 19 | "He turned his head toward" |
| | ratio | 0.339 | |
| 0.32% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 57 | | totalSentences | 62 | | matches | | 0 | "Quinn stepped over a puddle" | | 1 | "The body lay sprawled across" | | 2 | "He was pale, his skin" | | 3 | "DS Miller stood a few" | | 4 | "He didn't see the way" | | 5 | "Quinn knelt, her movements possessing" | | 6 | "She didn't touch the body." | | 7 | "They weren't dilated, nor were" | | 8 | "They were hexagonal." | | 9 | "Miller leaned in, squinting." | | 10 | "Quinn stood up and surveyed" | | 11 | "The Veil Market stretched out" | | 12 | "The merchants ignored the police," | | 13 | "She walked toward the nearest" | | 14 | "The proprietor, a creature with" | | 15 | "The creature blinked slowly." | | 16 | "Quinn's jaw tightened." | | 17 | "She reached into her pocket," | | 18 | "She didn't like the way" | | 19 | "It reminded her too much" |
| | ratio | 0.919 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 62 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 39 | | technicalSentenceCount | 13 | | matches | | 0 | "Quinn stepped over a puddle of iridescent slime that clung to the soles of her boots." | | 1 | "The body lay sprawled across the cracked tiles of the abandoned platform, a man in a sharp, navy blue Italian suit that looked absurdly out of place in the grim…" | | 2 | "He was pale, his skin possessing a waxy, translucent quality that allowed the blue veins beneath to shimmer like frozen rivers." | | 3 | "Quinn knelt, her movements possessing a military precision that made Miller shift his weight." | | 4 | "Shrouded figures bartered over jars of pickled memories and rusted blades that hummed with a low, predatory frequency." | | 5 | "It was a geometric pattern, a series of interlocking circles and crescent moons that had been pressed into the grime." | | 6 | "The casing had a thick patina of verdigris, and the face was etched with protective sigils that glowed with a dim, amber light." | | 7 | "The shimmering air around the man's head began to thicken, turning into a viscous, black liquid that defied gravity, swirling upward in a slow, hypnotic spiral." | | 8 | "The spike began to vibrate, producing a high-pitched, piercing whistle that made Miller cover his ears and wince." | | 9 | "The sound grew, evolving into a rhythmic thumping, a heavy, wet beat that echoed through the station." | | 10 | "They were tall, spindly things, their limbs elongated and their faces featureless save for a single, vertical slit that ran from forehead to chin." | | 11 | "Miller let out a sharp, strangled cry as the smoke began to climb his legs, hardening into obsidian shackles that fused him to the floor." | | 12 | "It echoed inside her skull, a distorted, guttural rasp that sounded exactly like DS Morris." |
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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 | |