| 75.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 1 | | adverbTags | | 0 | "he said quietly [quietly]" |
| | dialogueSentences | 16 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0.125 | | effectiveRatio | 0.125 | |
| 96.61% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1474 | | totalAiIsmAdverbs | 1 | | 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) | |
| 52.51% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1474 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "footsteps" | | 1 | "shimmered" | | 2 | "porcelain" | | 3 | "spectral" | | 4 | "standard" | | 5 | "framework" | | 6 | "scanning" | | 7 | "flicker" | | 8 | "flickered" | | 9 | "warmth" | | 10 | "could feel" |
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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 | 109 | | matches | (empty) | |
| 90.43% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 2 | | narrationSentences | 109 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 117 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 40 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1485 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 44 | | wordCount | 1386 | | uniqueNames | 13 | | maxNameDensity | 1.15 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 16 | | Soho | 1 | | Morris | 5 | | Met | 1 | | Tube | 1 | | Veil | 1 | | Market | 1 | | Herrera | 4 | | Saint | 2 | | Christopher | 2 | | Tomás | 8 | | Seville | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Morris" | | 3 | "Met" | | 4 | "Market" | | 5 | "Herrera" | | 6 | "Saint" | | 7 | "Christopher" | | 8 | "Tomás" |
| | places | | | globalScore | 0.923 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 80 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.673 | | wordCount | 1485 | | matches | | 0 | "Not the harsh blue-white of modern fluorescents, but a sickly amber glow, like gas lamps" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 117 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 50 | | mean | 29.7 | | std | 25.52 | | cv | 0.859 | | sampleLengths | | 0 | 60 | | 1 | 2 | | 2 | 98 | | 3 | 8 | | 4 | 29 | | 5 | 65 | | 6 | 2 | | 7 | 43 | | 8 | 50 | | 9 | 66 | | 10 | 4 | | 11 | 7 | | 12 | 77 | | 13 | 11 | | 14 | 2 | | 15 | 63 | | 16 | 31 | | 17 | 54 | | 18 | 5 | | 19 | 101 | | 20 | 10 | | 21 | 67 | | 22 | 13 | | 23 | 43 | | 24 | 30 | | 25 | 25 | | 26 | 2 | | 27 | 26 | | 28 | 36 | | 29 | 28 | | 30 | 21 | | 31 | 4 | | 32 | 34 | | 33 | 33 | | 34 | 29 | | 35 | 10 | | 36 | 31 | | 37 | 5 | | 38 | 2 | | 39 | 29 | | 40 | 6 | | 41 | 66 | | 42 | 48 | | 43 | 5 | | 44 | 29 | | 45 | 5 | | 46 | 30 | | 47 | 9 | | 48 | 14 | | 49 | 17 |
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| 95.61% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 109 | | matches | | 0 | "being dragged" | | 1 | "been transformed" | | 2 | "was sewn" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 241 | | matches | | 0 | "was talking" | | 1 | "were exchanging" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 0 | | flaggedSentences | 8 | | totalSentences | 117 | | ratio | 0.068 | | matches | | 0 | "He got the grate up — she saw the raw strength in his shoulders — and dropped into the darkness below." | | 1 | "What replaced it was older — dust, rust, and something organic, like loam or blood." | | 2 | "Voices, too, rose from ahead — a low murmur of commerce and conversation, the clink of glass, the scrape of something heavy being dragged across stone." | | 3 | "The vendors were a mix of the mundane and the deeply strange — ordinary-looking men and women selling jars of preserved organs next to figures whose features seemed to shift when she looked directly at them." | | 4 | "She'd seen his file — former paramedic, lost his license for treating patients the NHS couldn't explain." | | 5 | "He and the suspect were exchanging something — a small leather pouch for a folded piece of paper." | | 6 | "Not fear — something more like calculation." | | 7 | "Then he reached into his coat and pulled out a small medallion — Saint Christopher, identical to the one around his own neck." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1382 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 28 | | adverbRatio | 0.020260492040520984 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.004341534008683068 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 117 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 117 | | mean | 12.69 | | std | 8.72 | | cv | 0.687 | | sampleLengths | | 0 | 4 | | 1 | 16 | | 2 | 40 | | 3 | 2 | | 4 | 18 | | 5 | 31 | | 6 | 29 | | 7 | 20 | | 8 | 2 | | 9 | 6 | | 10 | 13 | | 11 | 16 | | 12 | 12 | | 13 | 28 | | 14 | 10 | | 15 | 15 | | 16 | 2 | | 17 | 3 | | 18 | 21 | | 19 | 19 | | 20 | 8 | | 21 | 26 | | 22 | 5 | | 23 | 11 | | 24 | 26 | | 25 | 19 | | 26 | 21 | | 27 | 4 | | 28 | 7 | | 29 | 6 | | 30 | 10 | | 31 | 15 | | 32 | 16 | | 33 | 30 | | 34 | 11 | | 35 | 2 | | 36 | 20 | | 37 | 17 | | 38 | 26 | | 39 | 18 | | 40 | 13 | | 41 | 7 | | 42 | 7 | | 43 | 25 | | 44 | 2 | | 45 | 3 | | 46 | 10 | | 47 | 5 | | 48 | 6 | | 49 | 25 |
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| 44.73% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.3247863247863248 | | totalSentences | 117 | | uniqueOpeners | 38 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 97 | | matches | | 0 | "Somewhere below, she heard the" | | 1 | "Then he reached into his" | | 2 | "Then she turned away from" |
| | ratio | 0.031 | |
| 88.04% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 32 | | totalSentences | 97 | | matches | | 0 | "Her brogues slapped wet concrete," | | 1 | "She had him on assault," | | 2 | "she hissed into her radio," | | 3 | "She hit the wall with" | | 4 | "He was at the far" | | 5 | "He didn't stop." | | 6 | "He got the grate up" | | 7 | "She hauled it open, the" | | 8 | "She thought of her partner," | | 9 | "She thought of the reports" | | 10 | "She landed on a curved" | | 11 | "She crept forward until she" | | 12 | "She'd heard rumors about the" | | 13 | "She'd never seen it before." | | 14 | "He was talking to a" | | 15 | "She'd seen his file —" | | 16 | "His face was open, warm" | | 17 | "He and the suspect were" | | 18 | "She had no backup, no" | | 19 | "She saw recognition flicker in" |
| | ratio | 0.33 | |
| 52.78% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 79 | | totalSentences | 97 | | matches | | 0 | "Rain like a judgment." | | 1 | "Detective Harlow Quinn ignored the" | | 2 | "Her brogues slapped wet concrete," | | 3 | "The suspect had a lead" | | 4 | "Quinn had been tailing him" | | 5 | "She had him on assault," | | 6 | "she hissed into her radio," | | 7 | "The buildings here were too" | | 8 | "The suspect cut hard into" | | 9 | "She hit the wall with" | | 10 | "The stench of rotting produce" | | 11 | "He was at the far" | | 12 | "He didn't stop." | | 13 | "He got the grate up" | | 14 | "The grate clanged shut, and" | | 15 | "Quinn reached the grate in" | | 16 | "She hauled it open, the" | | 17 | "A rusted ladder led down." | | 18 | "She thought of her partner," | | 19 | "The unexplained supernatural origins of" |
| | ratio | 0.814 | |
| 51.55% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 97 | | matches | | 0 | "Because she'd waited for clearance," |
| | ratio | 0.01 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 62 | | technicalSentenceCount | 15 | | matches | | 0 | "Detective Harlow Quinn ignored the water that had soaked through the collar of her coat, ignored the way her leather watch strap had gone slick and dark against…" | | 1 | "The suspect had a lead of maybe thirty meters, a dark blur in a hooded jacket, moving with the desperate economy of someone who knew they'd be caught if they st…" | | 2 | "Quinn had been tailing him for three hours, through pubs and alleyways, watching him make dead drops and exchange folded notes with men who didn't want to be se…" | | 3 | "She had him on assault, conspiracy, and the suspicion that he'd fed information to the people who'd killed her partner." | | 4 | "The buildings here were too old, too thick, too full of secrets that swallowed signals whole." | | 5 | "She hauled it open, the metal cold and rough against her fingers, and stared down into a shaft that dropped maybe twelve feet into absolute black." | | 6 | "A black market that moved every full moon, hiding in abandoned stations and forgotten cellars, trading in things the official world didn't want to acknowledge." | | 7 | "Stalls and tarpaulins and makeshift booths lined the space, lit by hanging lanterns that burned with flames of green and violet and deep, pulsing red." | | 8 | "His face was open, warm even in the spectral light, and he wore a Saint Christopher medallion that glinted against his chest." | | 9 | "She had no backup, no radio contact, no understanding of the rules that governed this place." | | 10 | "His face went pale, and he bolted, shoving through the crowd toward the far end of the platform, toward another tunnel mouth that led deeper into the dark." | | 11 | "The suspect, fleeing into unknown territory, and Tomás Herrera, standing still and watching her with a look that asked a question she couldn't read." | | 12 | "The child with no eyes tilted her head, tracking Quinn's movement without seeing." | | 13 | "She thought of all the files she'd kept, all the questions she'd never asked, all the nights she'd lain awake trying to fit the supernatural into a framework th…" | | 14 | "But turning back meant staying inside a system that had already failed her, failed Morris, failed the truth." |
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| 62.50% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 1 | | matches | | 0 | "she hissed, but the earpiece spat only static" |
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| 87.50% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 16 | | tagDensity | 0.438 | | leniency | 0.875 | | rawRatio | 0.143 | | effectiveRatio | 0.125 | |