| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 13 | | tagDensity | 0.462 | | leniency | 0.923 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 94.04% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1679 | | totalAiIsmAdverbs | 2 | | 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) | |
| 43.42% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1679 | | totalAiIsms | 19 | | found | | | highlights | | 0 | "flicked" | | 1 | "rhythmic" | | 2 | "etched" | | 3 | "depths" | | 4 | "silence" | | 5 | "charm" | | 6 | "silk" | | 7 | "velvet" | | 8 | "tangible" | | 9 | "porcelain" | | 10 | "synchronized" | | 11 | "mechanical" | | 12 | "weight" | | 13 | "determined" | | 14 | "flickered" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "air was thick with" | | count | 1 |
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| | highlights | | 0 | "The air was thick with" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 122 | | matches | (empty) | |
| 96.02% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 3 | | narrationSentences | 122 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 129 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 39 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1668 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 57 | | wordCount | 1554 | | uniqueNames | 17 | | maxNameDensity | 1.16 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Tomás" | | discoveredNames | | Soho | 2 | | Harlow | 2 | | Quinn | 18 | | Herrera | 3 | | Seville-born | 1 | | Raven | 1 | | Nest | 1 | | Metropolitan | 1 | | Static | 1 | | Morris | 4 | | Tomás | 14 | | Tube | 1 | | London | 2 | | Veil | 2 | | Market | 2 | | Saint | 1 | | Christopher | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Herrera" | | 3 | "Morris" | | 4 | "Tomás" | | 5 | "Market" | | 6 | "Saint" | | 7 | "Christopher" |
| | places | | 0 | "Soho" | | 1 | "Seville-born" | | 2 | "Raven" | | 3 | "London" |
| | globalScore | 0.921 | | windowScore | 0.667 | |
| 23.74% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 99 | | glossingSentenceCount | 5 | | matches | | 0 | "looked like a gargoyle carved from shadow" | | 1 | "sounded like clicking stones and rushing w" | | 2 | "silk that seemed to move of their own volition; bundles of herbs that bled when cut" | | 3 | "coats that seemed to absorb the light, and their faces were obscured by porcelain masks with no eye slits" | | 4 | "felt like a dream she was trying to wak" |
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| 80.10% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.199 | | wordCount | 1668 | | matches | | 0 | "not to strike, but as if to comfort her" | | 1 | "Not away from the truth, but back toward the only world she knew, clutching a piece of th" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 129 | | matches | | 0 | "knew that a" | | 1 | "remembered that feeling" |
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| 95.82% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 40 | | mean | 41.7 | | std | 20.24 | | cv | 0.485 | | sampleLengths | | 0 | 73 | | 1 | 67 | | 2 | 70 | | 3 | 48 | | 4 | 55 | | 5 | 25 | | 6 | 55 | | 7 | 69 | | 8 | 46 | | 9 | 62 | | 10 | 45 | | 11 | 51 | | 12 | 3 | | 13 | 8 | | 14 | 71 | | 15 | 18 | | 16 | 8 | | 17 | 61 | | 18 | 51 | | 19 | 70 | | 20 | 55 | | 21 | 47 | | 22 | 7 | | 23 | 30 | | 24 | 45 | | 25 | 47 | | 26 | 21 | | 27 | 32 | | 28 | 8 | | 29 | 18 | | 30 | 44 | | 31 | 51 | | 32 | 29 | | 33 | 27 | | 34 | 45 | | 35 | 63 | | 36 | 43 | | 37 | 17 | | 38 | 52 | | 39 | 31 |
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| 93.76% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 122 | | matches | | 0 | "been deleted" | | 1 | "was filled" | | 2 | "were obscured" | | 3 | "been peeled" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 261 | | matches | | 0 | "was standing" | | 1 | "were closing" | | 2 | "was trying" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 11 | | semicolonCount | 4 | | flaggedSentences | 11 | | totalSentences | 129 | | ratio | 0.085 | | matches | | 0 | "They had found his badge and his gun, but Morris—solid, dependable Morris—had simply been deleted from the world." | | 1 | "He didn’t climb it; he dived beneath it, disappearing into a stairwell that shouldn't have been there." | | 2 | "Her instincts—the ones that had kept her alive for nearly two decades—screamed at her to wait for backup." | | 3 | "As she descended, the sounds of London—the sirens, the tires on wet asphalt, the distant thrum of the city—faded into a pressurized silence." | | 4 | "She didn't have a bone token, but she had the silver whistle Morris had carried—a lucky charm she’d pulled from the ruins of the warehouse three years ago." | | 5 | "Glass jars filled with shimmering, liquid light; racks of silk that seemed to move of their own volition; bundles of herbs that bled when cut." | | 6 | "The crowd didn't part for her; they ignored her, a sea of overcoats, cloaks, and things wearing human skin." | | 7 | "Quinn caught his wrist—the one with the long scar running up the forearm from a knife attack she knew had occurred in a back alley two years ago." | | 8 | "The noise of the market seemed to roar in her ears—the chanting, the haggling, the strange, rhythmic thrumming of the heartbeat of the earth." | | 9 | "She looked at the bone-white masks and saw her own reflection in the porcelain—frightened, determined, and suddenly very small." | | 10 | "The city looked the same—the buses hummed, the tourists laughed, the lights flickered." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1578 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 27 | | adverbRatio | 0.017110266159695818 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.00697084917617237 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 129 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 129 | | mean | 12.93 | | std | 7.26 | | cv | 0.562 | | sampleLengths | | 0 | 31 | | 1 | 23 | | 2 | 19 | | 3 | 2 | | 4 | 6 | | 5 | 15 | | 6 | 13 | | 7 | 2 | | 8 | 29 | | 9 | 12 | | 10 | 4 | | 11 | 16 | | 12 | 38 | | 13 | 19 | | 14 | 5 | | 15 | 13 | | 16 | 11 | | 17 | 4 | | 18 | 21 | | 19 | 18 | | 20 | 7 | | 21 | 5 | | 22 | 5 | | 23 | 17 | | 24 | 3 | | 25 | 9 | | 26 | 19 | | 27 | 3 | | 28 | 11 | | 29 | 3 | | 30 | 10 | | 31 | 13 | | 32 | 12 | | 33 | 15 | | 34 | 12 | | 35 | 17 | | 36 | 9 | | 37 | 12 | | 38 | 25 | | 39 | 22 | | 40 | 10 | | 41 | 18 | | 42 | 5 | | 43 | 7 | | 44 | 6 | | 45 | 16 | | 46 | 23 | | 47 | 12 | | 48 | 14 | | 49 | 6 |
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| 38.37% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 15 | | diversityRatio | 0.2868217054263566 | | totalSentences | 129 | | uniqueOpeners | 37 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 118 | | matches | (empty) | | ratio | 0 | |
| 36.95% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 54 | | totalSentences | 118 | | matches | | 0 | "He moved with a nervous," | | 1 | "She flicked her gaze to" | | 2 | "She had been trailing him" | | 3 | "She maintained her pace, a" | | 4 | "She was forty-one, with eighteen" | | 5 | "she murmured into the collar-mic" | | 6 | "It felt heavy, like the" | | 7 | "She remembered that feeling." | | 8 | "She’d felt it three years" | | 9 | "They had found his badge" | | 10 | "He saw her." | | 11 | "She simply ran." | | 12 | "Her boots hammered the pavement," | | 13 | "He lunged toward a construction" | | 14 | "They were behind the main" | | 15 | "He didn’t climb it; he" | | 16 | "She reached into her inner" | | 17 | "She looked at the yawning" | | 18 | "Her instincts—the ones that had" | | 19 | "She stepped onto the first" |
| | ratio | 0.458 | |
| 19.32% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 104 | | totalSentences | 118 | | matches | | 0 | "The rain in Soho didn't" | | 1 | "Detective Harlow Quinn adjusted the" | | 2 | "He moved with a nervous," | | 3 | "Quinn knew the file by" | | 4 | "She flicked her gaze to" | | 5 | "She had been trailing him" | | 6 | "Tomás took a hard right," | | 7 | "Quinn didn’t speed up." | | 8 | "She maintained her pace, a" | | 9 | "She was forty-one, with eighteen" | | 10 | "she murmured into the collar-mic" | | 11 | "Static was her only answer." | | 12 | "The city felt dense tonight," | | 13 | "It felt heavy, like the" | | 14 | "She remembered that feeling." | | 15 | "She’d felt it three years" | | 16 | "They had found his badge" | | 17 | "The department called it an" | | 18 | "Quinn called it a lie." | | 19 | "Tomás glanced over his shoulder." |
| | ratio | 0.881 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 118 | | matches | (empty) | | ratio | 0 | |
| 59.37% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 77 | | technicalSentenceCount | 9 | | matches | | 0 | "The rain in Soho didn't fall so much as it dissolved, coating the brickwork and the pavement in a slick, oily sheen that caught the garish glow of the city’s ne…" | | 1 | "He moved with a nervous, twitching energy, his shoulders hunched as if he expected a blow from the sky." | | 2 | "Former paramedic, Seville-born, NHS wash-out with a penchant for treating people who didn’t officially exist." | | 3 | "He didn’t climb it; he dived beneath it, disappearing into a stairwell that shouldn't have been there." | | 4 | "The concrete was cracked and slick with a slime that looked purple under her tactical torch." | | 5 | "It was filled with jagged, white fragments that looked uncomfortably like human knuckles." | | 6 | "She was standing on a gantry overlooking the tracks of a station that appeared on no modern map." | | 7 | "Glass jars filled with shimmering, liquid light; racks of silk that seemed to move of their own volition; bundles of herbs that bled when cut." | | 8 | "He dived into the crowd, disappearing behind a display of antique mirrors that reflected a dozen different versions of the station." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 2 | | matches | | 0 | "she demanded, her voice cracking" | | 1 | "Tomás said, his voice urgent" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 5 | | fancyTags | | 0 | "she murmured (murmur)" | | 1 | "he croaked (croak)" | | 2 | "Quinn snapped (snap)" | | 3 | "Tomás whispered (whisper)" | | 4 | "she demanded (demand)" |
| | dialogueSentences | 13 | | tagDensity | 0.462 | | leniency | 0.923 | | rawRatio | 0.833 | | effectiveRatio | 0.769 | |