| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 1 | | adverbTags | | 0 | "The hand emerged again [again]" |
| | dialogueSentences | 10 | | tagDensity | 0.2 | | leniency | 0.4 | | rawRatio | 0.5 | | effectiveRatio | 0.2 | |
| 88.41% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1294 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "very" | | 1 | "slowly" | | 2 | "slightly" |
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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) | |
| 45.90% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1294 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "gloom" | | 1 | "footsteps" | | 2 | "echoing" | | 3 | "flicked" | | 4 | "rhythmic" | | 5 | "resolving" | | 6 | "grave" | | 7 | "scanned" | | 8 | "familiar" | | 9 | "whisper" |
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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 | 142 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 142 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 149 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 34 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 3 | | markdownWords | 16 | | totalWords | 1286 | | ratio | 0.012 | | matches | | 0 | "The market beneath the market. Entry requires a token. A bone token." | | 1 | "thunk" | | 2 | "time to go" |
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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 | 26 | | wordCount | 1199 | | uniqueNames | 13 | | maxNameDensity | 0.67 | | worstName | "Quinn" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 8 | | Raven | 1 | | Nest | 1 | | Soho | 1 | | Regent | 1 | | Canal | 1 | | Silas | 2 | | Stag | 1 | | Brewery | 1 | | Morris | 3 | | Herrera | 4 | | Tube | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Raven" | | 3 | "Nest" | | 4 | "Regent" | | 5 | "Silas" | | 6 | "Morris" | | 7 | "Herrera" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 61.76% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 85 | | glossingSentenceCount | 3 | | matches | | 0 | "felt like betrayal" | | 1 | "as if listening to something Quinn couldn’t hear from beyond the door" | | 2 | "felt like a countdown" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.778 | | wordCount | 1286 | | matches | | 0 | "not for her service weapon, but for the compact torch clipped there" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 149 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 49 | | mean | 26.24 | | std | 18.07 | | cv | 0.689 | | sampleLengths | | 0 | 33 | | 1 | 50 | | 2 | 50 | | 3 | 13 | | 4 | 46 | | 5 | 9 | | 6 | 60 | | 7 | 47 | | 8 | 5 | | 9 | 53 | | 10 | 10 | | 11 | 24 | | 12 | 42 | | 13 | 8 | | 14 | 37 | | 15 | 44 | | 16 | 6 | | 17 | 45 | | 18 | 42 | | 19 | 25 | | 20 | 24 | | 21 | 4 | | 22 | 10 | | 23 | 12 | | 24 | 8 | | 25 | 14 | | 26 | 49 | | 27 | 19 | | 28 | 12 | | 29 | 20 | | 30 | 5 | | 31 | 37 | | 32 | 28 | | 33 | 4 | | 34 | 32 | | 35 | 81 | | 36 | 6 | | 37 | 41 | | 38 | 35 | | 39 | 8 | | 40 | 30 | | 41 | 23 | | 42 | 9 | | 43 | 12 | | 44 | 37 | | 45 | 6 | | 46 | 41 | | 47 | 12 | | 48 | 18 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 142 | | matches | (empty) | |
| 55.07% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 184 | | matches | | 0 | "wasn't heading" | | 1 | "was heading" | | 2 | "was leading" | | 3 | "wasn’t running" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 149 | | ratio | 0.013 | | matches | | 0 | "A low, rhythmic hum, like a generator, but layered with something else—a murmur of distant voices, a faint, discordant chime." | | 1 | "The green light spilled out, and with it, a wave of sound and smell—the sputter of oil lamps, the tang of strange spices, the murmur of a dozen languages, some familiar, some not." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1206 | | adjectiveStacks | 1 | | stackExamples | | 0 | "narrow, lichen-slick steps" |
| | adverbCount | 25 | | adverbRatio | 0.020729684908789386 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.004975124378109453 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 149 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 149 | | mean | 8.63 | | std | 6.09 | | cv | 0.706 | | sampleLengths | | 0 | 10 | | 1 | 23 | | 2 | 15 | | 3 | 16 | | 4 | 16 | | 5 | 1 | | 6 | 2 | | 7 | 13 | | 8 | 16 | | 9 | 9 | | 10 | 12 | | 11 | 7 | | 12 | 6 | | 13 | 23 | | 14 | 9 | | 15 | 14 | | 16 | 9 | | 17 | 13 | | 18 | 16 | | 19 | 5 | | 20 | 1 | | 21 | 9 | | 22 | 1 | | 23 | 2 | | 24 | 13 | | 25 | 13 | | 26 | 14 | | 27 | 4 | | 28 | 10 | | 29 | 6 | | 30 | 5 | | 31 | 11 | | 32 | 18 | | 33 | 4 | | 34 | 16 | | 35 | 4 | | 36 | 10 | | 37 | 4 | | 38 | 8 | | 39 | 2 | | 40 | 4 | | 41 | 6 | | 42 | 7 | | 43 | 3 | | 44 | 20 | | 45 | 12 | | 46 | 4 | | 47 | 4 | | 48 | 16 | | 49 | 4 |
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| 42.06% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 19 | | diversityRatio | 0.3288590604026846 | | totalSentences | 149 | | uniqueOpeners | 49 | |
| 51.68% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 129 | | matches | | 0 | "Then, a scrape of boot" | | 1 | "Then he turned and walked" |
| | ratio | 0.016 | |
| 95.97% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 40 | | totalSentences | 129 | | matches | | 0 | "She’d been watching the back" | | 1 | "He’d ducked out for a" | | 2 | "She gained on him, her" | | 3 | "Her legs moved with the" | | 4 | "He was young, lean, but" | | 5 | "He glanced back once, a" | | 6 | "He wasn't heading for the" | | 7 | "He was heading for the" | | 8 | "He didn’t have the twitchy" | | 9 | "He’d come from Silas’s bar," | | 10 | "It was a known squat," | | 11 | "He was leading her to" | | 12 | "She pushed through the gate." | | 13 | "Her hand went to her" | | 14 | "She flicked it on." | | 15 | "She swung the beam." | | 16 | "It didn’t match the building’s" | | 17 | "It smelled of damp stone," | | 18 | "He wasn’t running anymore." | | 19 | "He just stared up at" |
| | ratio | 0.31 | |
| 68.53% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 101 | | totalSentences | 129 | | matches | | 0 | "The splash of water against" | | 1 | "Detective Harlow Quinn pushed off" | | 2 | "She’d been watching the back" | | 3 | "He’d ducked out for a" | | 4 | "She gained on him, her" | | 5 | "Her legs moved with the" | | 6 | "He was young, lean, but" | | 7 | "He glanced back once, a" | | 8 | "He wasn't heading for the" | | 9 | "He was heading for the" | | 10 | "The air changed as they" | | 11 | "The buildings here were lower," | | 12 | "The suspect vanished down a" | | 13 | "Quinn followed, boots finding purchase" | | 14 | "The path was empty save" | | 15 | "Quinn’s mind ran through possibilities." | | 16 | "He didn’t have the twitchy" | | 17 | "He’d come from Silas’s bar," | | 18 | "The kid dove right, through" | | 19 | "A sign was half-peeled away," |
| | ratio | 0.783 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 129 | | matches | (empty) | | ratio | 0 | |
| 57.82% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 42 | | technicalSentenceCount | 5 | | matches | | 0 | "She’d been watching the back door of the Raven’s Nest, waiting for the kid to leave." | | 1 | "Her legs moved with the same military precision that had seen her through countless foot pursuits." | | 2 | "Protocol had left him a smear on a warehouse floor with symbols carved into the walls that made the forensics lads cross themselves." | | 3 | "A figure stood beside it, swaddled in a thick, hooded cloak that smelled of wet wool and grave dirt." | | 4 | "The figure turned its head slightly, as if listening to something Quinn couldn’t hear from beyond the door." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 10 | | tagDensity | 0.1 | | leniency | 0.2 | | rawRatio | 0 | | effectiveRatio | 0 | |