| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 12 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 80.51% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1026 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "tightly" | | 1 | "slowly" | | 2 | "quickly" |
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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) | |
| 26.90% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1026 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "familiar" | | 1 | "gleaming" | | 2 | "pounding" | | 3 | "echo" | | 4 | "footsteps" | | 5 | "silence" | | 6 | "weight" | | 7 | "echoing" | | 8 | "stark" | | 9 | "vibrated" | | 10 | "velvet" | | 11 | "standard" | | 12 | "charged" |
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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 | 67 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 67 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 76 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 33 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 1019 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 79.04% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 37 | | wordCount | 916 | | uniqueNames | 16 | | maxNameDensity | 1.42 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Tomás" | | discoveredNames | | Soho | 1 | | Raven | 1 | | Nest | 1 | | Harlow | 1 | | Quinn | 13 | | Herrera | 1 | | Camden | 1 | | Tube | 1 | | Morris | 1 | | Met | 1 | | London | 1 | | Saint | 1 | | Christopher | 1 | | Tomás | 10 | | Veil | 1 | | Market | 1 |
| | persons | | 0 | "Raven" | | 1 | "Harlow" | | 2 | "Quinn" | | 3 | "Herrera" | | 4 | "Morris" | | 5 | "Met" | | 6 | "Saint" | | 7 | "Christopher" | | 8 | "Tomás" | | 9 | "Market" |
| | places | | | globalScore | 0.79 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 55 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1019 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 76 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 36 | | mean | 28.31 | | std | 18.01 | | cv | 0.636 | | sampleLengths | | 0 | 27 | | 1 | 59 | | 2 | 2 | | 3 | 41 | | 4 | 22 | | 5 | 4 | | 6 | 35 | | 7 | 78 | | 8 | 18 | | 9 | 11 | | 10 | 22 | | 11 | 39 | | 12 | 64 | | 13 | 42 | | 14 | 37 | | 15 | 6 | | 16 | 10 | | 17 | 13 | | 18 | 19 | | 19 | 30 | | 20 | 24 | | 21 | 34 | | 22 | 15 | | 23 | 49 | | 24 | 11 | | 25 | 5 | | 26 | 19 | | 27 | 69 | | 28 | 31 | | 29 | 31 | | 30 | 25 | | 31 | 22 | | 32 | 28 | | 33 | 16 | | 34 | 28 | | 35 | 33 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 67 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 141 | | matches | | 0 | "was measuring" | | 1 | "was slowly drawing" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 1 | | flaggedSentences | 8 | | totalSentences | 76 | | ratio | 0.105 | | matches | | 0 | "The air grew thick, sour with damp mold and something metallic—the sharp, ozone tang of ozone mixed with burning copper." | | 1 | "He pulled out a small, pale object no larger than a coin—a carved piece of yellowed bone." | | 2 | "A deep sound vibrated through the floorboards—a resonant, metallic hum that vibrated straight through Quinn's boots and into her teeth." | | 3 | "The solid iron door didn't slide open; it unspooled, the metal peeling back like living skin to reveal a cavernous space bathed in flicking violet and crimson light beyond." | | 4 | "The stench hit her immediately—incense, roasted meat, ozone, and wet fur." | | 5 | "The abandoned station opened up into a sprawling underground bazaar—The Veil Market." | | 6 | "Figures moved through the hazy crimson light—some tall and impossibly lean, others shrouded in thick cloaks that rustled like dry leaves." | | 7 | "Her partner's face flashed in her mind—the pale, drained skin, the official reports stamped *Inconclusive*, the silence from the upper brass." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 926 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 17 | | adverbRatio | 0.0183585313174946 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.008639308855291577 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 76 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 76 | | mean | 13.41 | | std | 7.48 | | cv | 0.558 | | sampleLengths | | 0 | 27 | | 1 | 18 | | 2 | 21 | | 3 | 20 | | 4 | 2 | | 5 | 18 | | 6 | 23 | | 7 | 10 | | 8 | 12 | | 9 | 4 | | 10 | 6 | | 11 | 29 | | 12 | 17 | | 13 | 16 | | 14 | 1 | | 15 | 33 | | 16 | 8 | | 17 | 3 | | 18 | 18 | | 19 | 11 | | 20 | 22 | | 21 | 2 | | 22 | 17 | | 23 | 20 | | 24 | 10 | | 25 | 21 | | 26 | 14 | | 27 | 19 | | 28 | 14 | | 29 | 13 | | 30 | 15 | | 31 | 2 | | 32 | 6 | | 33 | 15 | | 34 | 14 | | 35 | 6 | | 36 | 10 | | 37 | 13 | | 38 | 11 | | 39 | 8 | | 40 | 17 | | 41 | 13 | | 42 | 11 | | 43 | 9 | | 44 | 4 | | 45 | 19 | | 46 | 15 | | 47 | 15 | | 48 | 20 | | 49 | 29 |
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| 57.46% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.40789473684210525 | | totalSentences | 76 | | uniqueOpeners | 31 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 62 | | matches | | 0 | "Only the hollow echo of" | | 1 | "Further down, a woman with" | | 2 | "Just a mortal woman with" |
| | ratio | 0.048 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 17 | | totalSentences | 62 | | matches | | 0 | "She squared her shoulders, water" | | 1 | "He glanced back, his olive" | | 2 | "He tucked a heavy satchel" | | 3 | "He rounded the metal barricade" | | 4 | "She tapped the face of" | | 5 | "She clicked on her heavy" | | 6 | "She hit the landing, her" | | 7 | "She raised her firearm, two-handing" | | 8 | "He turned slowly, raising his" | | 9 | "He pulled out a small," | | 10 | "Her grip tightened on the" | | 11 | "She shone her light past" | | 12 | "It broke every law of" | | 13 | "Her precinct didn't exist down" | | 14 | "Her badge meant nothing to" | | 15 | "She looked at her wrist." | | 16 | "Her partner's face flashed in" |
| | ratio | 0.274 | |
| 40.65% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 52 | | totalSentences | 62 | | matches | | 0 | "Rain slapped against the slick" | | 1 | "Detective Harlow Quinn adjusted her" | | 2 | "She squared her shoulders, water" | | 3 | "He glanced back, his olive" | | 4 | "He tucked a heavy satchel" | | 5 | "Quinn surged forward, her boots" | | 6 | "Water splashed against her trousers" | | 7 | "Tomás didn't look back this" | | 8 | "He rounded the metal barricade" | | 9 | "Quinn reached the top of" | | 10 | "She tapped the face of" | | 11 | "The Met had called it" | | 12 | "Quinn knew better." | | 13 | "She clicked on her heavy" | | 14 | "The ambient noise of the" | | 15 | "The air grew thick, sour" | | 16 | "She hit the landing, her" | | 17 | "The old tile walls, covered" | | 18 | "Tomás stood beside a rusted" | | 19 | "Quinn said, her voice hard," |
| | ratio | 0.839 | |
| 80.65% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 62 | | matches | | 0 | "If she stepped across, she" |
| | ratio | 0.016 | |
| 79.37% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 45 | | technicalSentenceCount | 4 | | matches | | 0 | "He rounded the metal barricade choking the mouth of the abandoned Tube station, his sneakers slipping on the mossy concrete steps before he vanished into the bl…" | | 1 | "A deep sound vibrated through the floorboards—a resonant, metallic hum that vibrated straight through Quinn's boots and into her teeth." | | 2 | "Figures moved through the hazy crimson light—some tall and impossibly lean, others shrouded in thick cloaks that rustled like dry leaves." | | 3 | "Tomás moved quickly into the throng, his satchel tucked under his arm, disappearing behind a stall selling strange, caged creatures that hissed at the air." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 2 | | matches | | 0 | "Quinn said, her voice hard, echoing down the tiled vault" | | 1 | "Tomás said, his voice dropping to a low, urgent murmur" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 12 | | tagDensity | 0.167 | | leniency | 0.333 | | rawRatio | 0 | | effectiveRatio | 0 | |