| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 9 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 875 | | 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) | |
| 48.57% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 875 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "pounding" | | 1 | "streaming" | | 2 | "stomach" | | 3 | "footsteps" | | 4 | "echoed" | | 5 | "flickered" | | 6 | "silence" | | 7 | "echo" |
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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 | 104 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 104 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 110 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 13 | | totalWords | 863 | | ratio | 0.015 | | matches | | 0 | "\"It's real, Harlow. They trade in things that don't belong in our world.\"" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 21 | | wordCount | 825 | | uniqueNames | 14 | | maxNameDensity | 0.73 | | worstName | "Quinn" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Quinn" | | discoveredNames | | London | 2 | | House | 1 | | Soho | 1 | | Raven | 1 | | Nest | 1 | | Harlow | 1 | | Quinn | 6 | | Berwick | 1 | | Street | 1 | | Glock | 2 | | Tube | 1 | | Veil | 1 | | Market | 1 | | Morris | 1 |
| | persons | | 0 | "Raven" | | 1 | "Harlow" | | 2 | "Quinn" | | 3 | "Morris" |
| | places | | 0 | "London" | | 1 | "House" | | 2 | "Soho" | | 3 | "Berwick" | | 4 | "Street" | | 5 | "Market" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 55 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like dried animal parts, but the s" |
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| 84.13% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.159 | | wordCount | 863 | | matches | | 0 | "Not a proper token, but she had nothing else" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 110 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 29 | | mean | 29.76 | | std | 19.16 | | cv | 0.644 | | sampleLengths | | 0 | 26 | | 1 | 59 | | 2 | 3 | | 3 | 49 | | 4 | 53 | | 5 | 34 | | 6 | 26 | | 7 | 34 | | 8 | 45 | | 9 | 40 | | 10 | 75 | | 11 | 3 | | 12 | 56 | | 13 | 37 | | 14 | 4 | | 15 | 19 | | 16 | 29 | | 17 | 41 | | 18 | 12 | | 19 | 5 | | 20 | 8 | | 21 | 3 | | 22 | 47 | | 23 | 35 | | 24 | 7 | | 25 | 38 | | 26 | 30 | | 27 | 12 | | 28 | 33 |
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| 98.52% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 104 | | matches | | 0 | "been closed" | | 1 | "was killed" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 155 | | matches | | 0 | "was weaving" | | 1 | "was blocking" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 12 | | semicolonCount | 0 | | flaggedSentences | 11 | | totalSentences | 110 | | ratio | 0.1 | | matches | | 0 | "A blur of motion—hooded figure, soaked black jacket—sprinted past the green neon of The Raven's Nest, shoes slapping wet cobblestones." | | 1 | "Graffiti crawled the brickwork—symbols she didn't recognize, spirals and eyes." | | 2 | "She swore, kicked it once, then saw the gap beside the concrete block—a narrow squeeze." | | 3 | "The air changed—cooler, musty, with a metallic undertone like old pennies." | | 4 | "Her torchlight caught something on the wall—a small alcove with a bowl of bones." | | 5 | "Lanterns flickered—blue, green, the color of rot." | | 6 | "Then he was killed—stabbed in a locked room with no weapon found." | | 7 | "But at the entrance to a narrower passage, a guard stood—a tall figure in a long coat, face obscured by a bone mask." | | 8 | "But the guard was blocking her path now, and she couldn't dart around—the alley was too narrow." | | 9 | "But the market would vanish by morning—she knew that." | | 10 | "Found the small bone she kept as a keychain—a dog's tooth, maybe." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 842 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 23 | | adverbRatio | 0.027315914489311165 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.0059382422802850355 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 110 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 110 | | mean | 7.85 | | std | 5.7 | | cv | 0.727 | | sampleLengths | | 0 | 3 | | 1 | 3 | | 2 | 20 | | 3 | 17 | | 4 | 8 | | 5 | 6 | | 6 | 28 | | 7 | 3 | | 8 | 4 | | 9 | 16 | | 10 | 16 | | 11 | 4 | | 12 | 5 | | 13 | 4 | | 14 | 13 | | 15 | 10 | | 16 | 3 | | 17 | 1 | | 18 | 15 | | 19 | 11 | | 20 | 4 | | 21 | 1 | | 22 | 15 | | 23 | 14 | | 24 | 1 | | 25 | 11 | | 26 | 10 | | 27 | 2 | | 28 | 2 | | 29 | 3 | | 30 | 1 | | 31 | 10 | | 32 | 7 | | 33 | 8 | | 34 | 5 | | 35 | 5 | | 36 | 5 | | 37 | 20 | | 38 | 2 | | 39 | 2 | | 40 | 11 | | 41 | 15 | | 42 | 14 | | 43 | 2 | | 44 | 1 | | 45 | 2 | | 46 | 2 | | 47 | 4 | | 48 | 10 | | 49 | 6 |
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| 64.85% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.42727272727272725 | | totalSentences | 110 | | uniqueOpeners | 47 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 91 | | matches | | 0 | "Just a long corridor that" | | 1 | "Then he was killed—stabbed in" | | 2 | "Maybe that's why she was" | | 3 | "Then he stepped aside." |
| | ratio | 0.044 | |
| 74.95% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 33 | | totalSentences | 91 | | matches | | 0 | "She'd been watching the bar" | | 1 | "He veered into Berwick Street," | | 2 | "She blinked it away." | | 3 | "She'd chased better runners." | | 4 | "He ducked left into an" | | 5 | "She ignored them." | | 6 | "She swore, kicked it once," | | 7 | "She pressed her back against" | | 8 | "Her hand went to the" | | 9 | "Her eyes adjusted." | | 10 | "She knew the map of" | | 11 | "She moved down, keeping to" | | 12 | "Her torchlight caught something on" | | 13 | "She didn't touch it." | | 14 | "She'd heard whispers." | | 15 | "Her partner, DS Morris, had" | | 16 | "She'd dismissed it as stress," | | 17 | "She ignored him." | | 18 | "Her target was fifty feet" | | 19 | "He held out a hand." |
| | ratio | 0.363 | |
| 80.88% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 69 | | totalSentences | 91 | | matches | | 0 | "A blur of motion—hooded figure," | | 1 | "Detective Harlow Quinn exploded out" | | 2 | "She'd been watching the bar" | | 3 | "The figure didn't slow." | | 4 | "He veered into Berwick Street," | | 5 | "Quinn closed the gap, boots" | | 6 | "She blinked it away." | | 7 | "She'd chased better runners." | | 8 | "He ducked left into an" | | 9 | "Graffiti crawled the brickwork—symbols she" | | 10 | "She ignored them." | | 11 | "The alley dead-ended at a" | | 12 | "The suspect shoved through, and" | | 13 | "Quinn grabbed the handle." | | 14 | "She swore, kicked it once," | | 15 | "She pressed her back against" | | 16 | "The air changed—cooler, musty, with" | | 17 | "Her hand went to the" | | 18 | "Her eyes adjusted." | | 19 | "The station had been closed" |
| | ratio | 0.758 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 91 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 34 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 38.89% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 9 | | tagDensity | 0.222 | | leniency | 0.444 | | rawRatio | 0.5 | | effectiveRatio | 0.222 | |