| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 26 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 72.80% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 919 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "lightly" | | 1 | "carefully" | | 2 | "suddenly" | | 3 | "really" |
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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) | |
| 45.59% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 919 | | totalAiIsms | 10 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | word | "down my spine" | | count | 1 |
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| | highlights | | 0 | "echoing" | | 1 | "synthetic" | | 2 | "glint" | | 3 | "etched" | | 4 | "intricate" | | 5 | "familiar" | | 6 | "warmth" | | 7 | "firmly" | | 8 | "traced" | | 9 | "down my spine" |
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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 | 44 | | matches | (empty) | |
| 45.45% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 1 | | narrationSentences | 44 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 51 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 73 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 915 | | ratio | 0 | | matches | (empty) | |
| 89.29% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 1 | | matches | | 0 | "Then I saw it. A glint, half-hidden behind a fallen piece of conduit several yards down the track, away from the designa…" |
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| 90.39% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 11 | | wordCount | 671 | | uniqueNames | 4 | | maxNameDensity | 1.19 | | worstName | "Marsh" | | maxWindowNameDensity | 2 | | worstWindowName | "Marsh" | | discoveredNames | | | persons | | | places | (empty) | | globalScore | 0.904 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 25 | | glossingSentenceCount | 2 | | matches | | 0 | "felt like a cage. Every instinct scream" | | 1 | "looked like sigils. The needle wasn’t poi" |
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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 | 915 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 51 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 23 | | mean | 39.78 | | std | 24.92 | | cv | 0.626 | | sampleLengths | | 0 | 62 | | 1 | 49 | | 2 | 105 | | 3 | 73 | | 4 | 5 | | 5 | 8 | | 6 | 43 | | 7 | 36 | | 8 | 47 | | 9 | 31 | | 10 | 4 | | 11 | 63 | | 12 | 11 | | 13 | 59 | | 14 | 24 | | 15 | 19 | | 16 | 60 | | 17 | 16 | | 18 | 46 | | 19 | 58 | | 20 | 54 | | 21 | 24 | | 22 | 18 |
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| 89.31% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 44 | | matches | | 0 | "been obsessed" | | 1 | "was dropped" |
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| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 123 | | matches | | 0 | "was spinning" | | 1 | "was trying" | | 2 | "was staring" |
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| 86.83% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 51 | | ratio | 0.02 | | matches | | 0 | "The body lay sprawled across the rusted rails, a man in a dark over mugging gone wrong—walcleaned out of the head with something heavy and blunt." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 334 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 11 | | adverbRatio | 0.03293413173652695 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.014970059880239521 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 51 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 51 | | mean | 17.94 | | std | 18.5 | | cv | 1.031 | | sampleLengths | | 0 | 8 | | 1 | 39 | | 2 | 7 | | 3 | 8 | | 4 | 11 | | 5 | 26 | | 6 | 12 | | 7 | 32 | | 8 | 58 | | 9 | 4 | | 10 | 5 | | 11 | 6 | | 12 | 73 | | 13 | 5 | | 14 | 2 | | 15 | 1 | | 16 | 5 | | 17 | 3 | | 18 | 34 | | 19 | 5 | | 20 | 1 | | 21 | 15 | | 22 | 4 | | 23 | 17 | | 24 | 47 | | 25 | 31 | | 26 | 4 | | 27 | 63 | | 28 | 11 | | 29 | 59 | | 30 | 24 | | 31 | 19 | | 32 | 14 | | 33 | 4 | | 34 | 7 | | 35 | 3 | | 36 | 32 | | 37 | 11 | | 38 | 5 | | 39 | 46 | | 40 | 24 | | 41 | 9 | | 42 | 5 | | 43 | 2 | | 44 | 4 | | 45 | 14 | | 46 | 54 | | 47 | 15 | | 48 | 6 | | 49 | 3 |
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| 94.12% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.6078431372549019 | | totalSentences | 51 | | uniqueOpeners | 31 | |
| 83.33% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 40 | | matches | | | ratio | 0.025 | |
| 80.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 14 | | totalSentences | 40 | | matches | | 0 | "He jerked a thumb over" | | 1 | "I walked past him, my" | | 2 | "I crouched, the worn leather" | | 3 | "I stood up, my knees" | | 4 | "I held up a hand," | | 5 | "I murmured. The patterns were" | | 6 | "I picked up the compass" | | 7 | "It’s too far away, too" | | 8 | "It was dropped." | | 9 | "I turned the compass over" | | 10 | "I said, my voice low" | | 11 | "He was trying to get" | | 12 | "I looked from the compass" | | 13 | "I said, closing my fingers" |
| | ratio | 0.35 | |
| 72.50% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 31 | | totalSentences | 40 | | matches | | 0 | "Rust dripped like dried blood" | | 1 | "He jerked a thumb over" | | 2 | "I walked past him, my" | | 3 | "The body lay sprawled across" | | 4 | "Marsh came to stand beside" | | 5 | "Lads are still searching." | | 6 | "Plenty of rubble down here." | | 7 | "I crouched, the worn leather" | | 8 | "The not from a lighter." | | 9 | "That’s a localized, intense heat." | | 10 | "Marsh frowned, his jowly face" | | 11 | "I stood up, my knees" | | 12 | "I held up a hand," | | 13 | "Marsh asked, peering over my" | | 14 | "I murmured. The patterns were" | | 15 | "I picked up the compass" | | 16 | "Marsh said, his tone dismissive" | | 17 | "The word was out before" | | 18 | "It’s too far away, too" | | 19 | "It was dropped." |
| | ratio | 0.775 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 40 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 10 | | technicalSentenceCount | 7 | | matches | | 0 | "Rust dripped like dried blood down the tiled walls, and the air tasted of iron, mold, angular shadows, illuminating the one patch of this Marsh stood near the e…" | | 1 | "I crouched, the worn leather of my watch strap pressing against my wrist. I ignored the pervasive smell of decay and focused on the victim. His hands. They were…" | | 2 | "I stood up, my knees protesting. The military precision of my bearing felt like a cage. Every instinct screamed that this was a trap, a stage set with deliberat…" | | 3 | "I held up a hand, silencing him. Nestled in the grit was a small, circular object. I crouched again. A compassigris. It was old, beautifully made, the face etch…" | | 4 | "I picked up the compass carefully. It was warm against my palm, a living warmth that had nothing to do with the ambient temperature." | | 5 | "I turned the compass over in my hand. The spinning needle suddenly stuttered, then jerked to a stop, pointing firmly down the tunnel, into the absolute blacknes…" | | 6 | "I looked from the compass needle, pointing insistently into the void, back to the unnaturally clean body on the tracks. The staged scene. The wrong evidence. It…" |
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| 41.67% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 2 | | matches | | 0 | "Marsh said, his tone dismissive" | | 1 | "I said, my voice low" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 26 | | tagDensity | 0.231 | | leniency | 0.462 | | rawRatio | 0.167 | | effectiveRatio | 0.077 | |