| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 7 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 23 | | tagDensity | 0.304 | | leniency | 0.609 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.97% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1241 | | 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) | |
| 23.45% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1241 | | totalAiIsms | 19 | | found | | | highlights | | 0 | "gloom" | | 1 | "scanned" | | 2 | "etched" | | 3 | "echoed" | | 4 | "tracing" | | 5 | "shattered" | | 6 | "raced" | | 7 | "silence" | | 8 | "pulsed" | | 9 | "chill" | | 10 | "echoes" | | 11 | "pounding" | | 12 | "jaw clenched" | | 13 | "resolving" | | 14 | "shimmered" | | 15 | "silk" |
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| 33.33% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 3 | | maxInWindow | 3 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 2 |
| | 1 | | label | "jaw/fists clenched" | | count | 1 |
|
| | highlights | | 0 | "eyes narrowed" | | 1 | "eyes widened" | | 2 | "jaw clenched" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 90 | | matches | (empty) | |
| 63.49% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 3 | | narrationSentences | 90 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 106 | | 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 | 1 | | markdownWords | 3 | | totalWords | 1219 | | ratio | 0.002 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 50 | | wordCount | 966 | | uniqueNames | 11 | | maxNameDensity | 2.17 | | worstName | "Quinn" | | maxWindowNameDensity | 4 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 21 | | Tube | 1 | | Camden | 2 | | Eva | 16 | | Kowalski | 1 | | Oxford | 1 | | Veil | 2 | | Market | 2 | | Blitz | 1 | | Morris | 2 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Camden" | | 3 | "Eva" | | 4 | "Kowalski" | | 5 | "Market" | | 6 | "Blitz" | | 7 | "Morris" |
| | places | | | globalScore | 0.413 | | windowScore | 0.333 | |
| 32.81% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 64 | | glossingSentenceCount | 3 | | matches | | 0 | "looked like dog-eared tomes" | | 1 | "shadows that seemed to shift when she blinked" | | 2 | "as if cataloguing the jars" |
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| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 3 | | per1kWords | 2.461 | | wordCount | 1219 | | matches | | 0 | "not the usual commuter shuffle but deliberate scuffs, as if someone had dragged a heavy crate a" | | 1 | "not north, but towards" | | 2 | "not drag, but a slide, as if the victim had been pulled from the tracks up" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 106 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 27 | | mean | 45.15 | | std | 25.22 | | cv | 0.559 | | sampleLengths | | 0 | 57 | | 1 | 94 | | 2 | 67 | | 3 | 39 | | 4 | 78 | | 5 | 51 | | 6 | 84 | | 7 | 75 | | 8 | 47 | | 9 | 59 | | 10 | 76 | | 11 | 32 | | 12 | 32 | | 13 | 51 | | 14 | 26 | | 15 | 73 | | 16 | 31 | | 17 | 12 | | 18 | 54 | | 19 | 12 | | 20 | 49 | | 21 | 5 | | 22 | 29 | | 23 | 13 | | 24 | 53 | | 25 | 13 | | 26 | 7 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 90 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 177 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 15 | | semicolonCount | 2 | | flaggedSentences | 14 | | totalSentences | 106 | | ratio | 0.132 | | matches | | 0 | "The air reeked of damp stone and something sharper—ozone, like a storm trapped underground." | | 1 | "Military precision guided her steps; she scanned the abandoned Tube station beneath Camden, walls etched with faded graffiti that twisted into unfamiliar symbols under her light." | | 2 | "Brass casings glinted on the tracks below—three shots fired, close range—but the body lay slumped against a splintered stall, its neck twisted at an impossible angle, eyes wide and milky." | | 3 | "Eva wasn't supposed to be here—occult researcher, not cop—but the call had come through channels Quinn didn't question." | | 4 | "She knelt beside the body, gloved fingers tracing the air above the neck wound—no blood, just bruised flesh blooming purple." | | 5 | "Whispers of it had haunted her files for months—an underground bazaar peddling enchanted trinkets and secrets that didn't belong in the light of day." | | 6 | "But the shots—brass on the tracks, fresh and warm to the touch—didn't match the body's position." | | 7 | "\"Coincidence. These things glitch in enclosed spaces. Look, the bruising's manual—strangulation, post-mortem shots to stage it. Thieves tying up loose ends. The Market moves every full moon; this lot's desperate to cover tracks before the next shift.\"" | | 8 | "Her mind raced back to Morris's case—similar scene, abandoned warehouse, body posed with impossible injuries." | | 9 | "Quinn's eyes locked on a scuff mark near the body— not drag, but a slide, as if the victim had been pulled from the tracks upward." | | 10 | "The neck snap—supernatural force, twisting from an angle no human hand could reach." | | 11 | "Cracks spiderwebbed the platform tiles, and a chill wind howled up from the void below, carrying whispers—inhuman, layered like echoes in a crypt." | | 12 | "Nestled inside, beside yellowed pages, lay a bone token—entry to the Veil Market, etched with the same sigils." | | 13 | "Eva lunged for it, but Quinn fired—two shots into the dark, the recoil steady in her grip." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 983 | | adjectiveStacks | 1 | | stackExamples | | 0 | "inside, beside yellowed pages," |
| | adverbCount | 17 | | adverbRatio | 0.017293997965412006 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.00508646998982706 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 106 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 106 | | mean | 11.5 | | std | 7.36 | | cv | 0.64 | | sampleLengths | | 0 | 19 | | 1 | 24 | | 2 | 14 | | 3 | 12 | | 4 | 26 | | 5 | 8 | | 6 | 18 | | 7 | 30 | | 8 | 12 | | 9 | 25 | | 10 | 19 | | 11 | 11 | | 12 | 4 | | 13 | 18 | | 14 | 2 | | 15 | 15 | | 16 | 11 | | 17 | 18 | | 18 | 25 | | 19 | 9 | | 20 | 8 | | 21 | 1 | | 22 | 6 | | 23 | 10 | | 24 | 20 | | 25 | 21 | | 26 | 4 | | 27 | 3 | | 28 | 24 | | 29 | 28 | | 30 | 16 | | 31 | 9 | | 32 | 6 | | 33 | 21 | | 34 | 13 | | 35 | 2 | | 36 | 9 | | 37 | 13 | | 38 | 1 | | 39 | 10 | | 40 | 10 | | 41 | 8 | | 42 | 17 | | 43 | 12 | | 44 | 8 | | 45 | 14 | | 46 | 37 | | 47 | 14 | | 48 | 13 | | 49 | 10 |
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| 79.87% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.49056603773584906 | | totalSentences | 106 | | uniqueOpeners | 52 | |
| 40.65% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 82 | | matches | | 0 | "Just the drip of water" |
| | ratio | 0.012 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 12 | | totalSentences | 82 | | matches | | 0 | "She straightened, her worn leather" | | 1 | "She knelt beside the body," | | 2 | "She stood, torch sweeping the" | | 3 | "She held up the device" | | 4 | "She tucked a stray curl" | | 5 | "She knelt by the casings," | | 6 | "Her mind raced back to" | | 7 | "She rose, facing Eva." | | 8 | "She gestured to the body" | | 9 | "She stepped closer, voice low." | | 10 | "She followed it, torch revealing" | | 11 | "She drew her sidearm, heart" |
| | ratio | 0.146 | |
| 33.17% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 70 | | totalSentences | 82 | | matches | | 0 | "Detective Harlow Quinn shoved open" | | 1 | "Footprints marred the dust-choked platform," | | 2 | "The air reeked of damp" | | 3 | "She straightened, her worn leather" | | 4 | "Military precision guided her steps;" | | 5 | "Brass casings glinted on the" | | 6 | "The voice echoed from the" | | 7 | "Eva Kowalski emerged from behind" | | 8 | "Quinn's sharp jaw tightened." | | 9 | "Eva wasn't supposed to be" | | 10 | "Eva adjusted her satchel strap," | | 11 | "A young man, mid-twenties, dressed" | | 12 | "Verdigris patina flaked off as" | | 13 | "The needle spun lazily, not" | | 14 | "The blank wall behind the" | | 15 | "Eva said, voice clipped with" | | 16 | "She knelt beside the body," | | 17 | "Quinn's brown eyes narrowed." | | 18 | "The Veil Market." | | 19 | "Whispers of it had haunted" |
| | ratio | 0.854 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 82 | | matches | (empty) | | ratio | 0 | |
| 59.80% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 43 | | technicalSentenceCount | 5 | | matches | | 0 | "Footprints marred the dust-choked platform, not the usual commuter shuffle but deliberate scuffs, as if someone had dragged a heavy crate across the tiles." | | 1 | "Military precision guided her steps; she scanned the abandoned Tube station beneath Camden, walls etched with faded graffiti that twisted into unfamiliar symbol…" | | 2 | "A young man, mid-twenties, dressed in a threadbare coat that smelled of cheap incense when Quinn crouched closer." | | 3 | "Whispers of it had haunted her files for months—an underground bazaar peddling enchanted trinkets and secrets that didn't belong in the light of day." | | 4 | "The researcher hovered too close to the stalls, fingers twitching as if cataloguing the jars." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 7 | | uselessAdditionCount | 2 | | matches | | 0 | "Eva said, voice clipped with Oxford polish" | | 1 | "Quinn pointed, her bearing unyielding" |
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| 63.04% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 2 | | fancyTags | | 0 | "Quinn muttered (mutter)" | | 1 | "Quinn growled (growl)" |
| | dialogueSentences | 23 | | tagDensity | 0.13 | | leniency | 0.261 | | rawRatio | 0.667 | | effectiveRatio | 0.174 | |