| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 1 | | adverbTags | | 0 | "Eva asked quietly [quietly]" |
| | dialogueSentences | 67 | | tagDensity | 0.224 | | leniency | 0.448 | | rawRatio | 0.067 | | effectiveRatio | 0.03 | |
| 85.35% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1707 | | totalAiIsmAdverbs | 5 | | 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) | |
| 76.57% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1707 | | totalAiIsms | 8 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | word | "the last thing" | | count | 1 |
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| | highlights | | 0 | "flickered" | | 1 | "chill" | | 2 | "tracing" | | 3 | "echoed" | | 4 | "standard" | | 5 | "echoing" | | 6 | "traced" | | 7 | "the last thing" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 174 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 1 | | narrationSentences | 174 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 225 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 35 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 10 | | markdownWords | 26 | | totalWords | 1687 | | ratio | 0.015 | | matches | | 0 | "breath" | | 1 | "release" | | 2 | "breathes" | | 3 | "intent" | | 4 | "holding" | | 5 | "felt" | | 6 | "“We gave him what he asked for.”" | | 7 | "“He asked to *change" | | 8 | "“You think feathers mean identification? You think *clues" | | 9 | "Remembering" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 22 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 71 | | wordCount | 1205 | | uniqueNames | 8 | | maxNameDensity | 3.07 | | worstName | "Quinn" | | maxWindowNameDensity | 5.5 | | worstWindowName | "Quinn" | | discoveredNames | | Camden | 1 | | Veil | 4 | | Market | 2 | | Plexiglas | 1 | | Quinn | 37 | | Eva | 23 | | Compass | 2 | | Jeren | 1 |
| | persons | | 0 | "Camden" | | 1 | "Market" | | 2 | "Quinn" | | 3 | "Eva" | | 4 | "Jeren" |
| | places | (empty) | | globalScore | 0 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 83 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like crow feathers" |
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| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 4 | | per1kWords | 2.371 | | wordCount | 1687 | | matches | | 0 | "not with a knife, but with surgical precision, the ribs splayed like the spokes of" | | 1 | "not from dirt, but from something deeper" | | 2 | "not toward the body, but toward the far end of the tunnel" | | 3 | "not spoken but *felt*, like a thought echoing in her skull" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 225 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 107 | | mean | 15.77 | | std | 14.08 | | cv | 0.893 | | sampleLengths | | 0 | 63 | | 1 | 76 | | 2 | 65 | | 3 | 26 | | 4 | 27 | | 5 | 36 | | 6 | 8 | | 7 | 21 | | 8 | 28 | | 9 | 21 | | 10 | 14 | | 11 | 7 | | 12 | 12 | | 13 | 15 | | 14 | 29 | | 15 | 45 | | 16 | 4 | | 17 | 9 | | 18 | 7 | | 19 | 21 | | 20 | 12 | | 21 | 11 | | 22 | 10 | | 23 | 29 | | 24 | 6 | | 25 | 4 | | 26 | 44 | | 27 | 3 | | 28 | 11 | | 29 | 21 | | 30 | 4 | | 31 | 27 | | 32 | 25 | | 33 | 15 | | 34 | 9 | | 35 | 50 | | 36 | 18 | | 37 | 7 | | 38 | 17 | | 39 | 12 | | 40 | 17 | | 41 | 41 | | 42 | 22 | | 43 | 13 | | 44 | 14 | | 45 | 3 | | 46 | 1 | | 47 | 11 | | 48 | 3 | | 49 | 13 |
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| 97.20% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 174 | | matches | | 0 | "been opened" | | 1 | "been knocked" | | 2 | "was rolled" | | 3 | "were blackened" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 222 | | matches | | 0 | "was tracing" | | 1 | "was staring" | | 2 | "was running" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 22 | | semicolonCount | 0 | | flaggedSentences | 18 | | totalSentences | 225 | | ratio | 0.08 | | matches | | 0 | "The air smelled of mildew and something older—ozone after a storm, rusted iron, the faint metallic tang of old blood." | | 1 | "That was the thing about the Veil Market—it didn’t stay in one place." | | 2 | "The victim’s chest had been opened—not with a knife, but with surgical precision, the ribs splayed like the spokes of a broken umbrella." | | 3 | "She was tracing something on the concrete with the toe of her boot—a sigil, half-scratched out, its edges smudged like someone’s boot had erased part of it." | | 4 | "Two figures in long coats—Veil Market guards—approached, their faces obscured by hoods." | | 5 | "It had been set up like a pharmacy—dried bunches of herbs hanging from the ceiling, glass jars of colored powders on rickety shelves." | | 6 | "But his fingers—" | | 7 | "The fingertips were blackened, not from dirt, but from something deeper—ink?" | | 8 | "Quinn had seen residue patterns before—gunshot, blunt force, even knife work—but this?" | | 9 | "The market stretched in both directions—jagged rows of stalls, flickering lanterns, figures in cloaks and coats huddled in conversation." | | 10 | "The air smelled of burnt sage and something acrid—ammonia, or maybe sulphur." | | 11 | "The needle spun wildly—then stabilized, pointing not toward the body, but toward the far end of the tunnel." | | 12 | "The guard—Jeren—fell back." | | 13 | "The door groaned open six inches—then stopped." | | 14 | "Quinn reached into her coat—slow, deliberate." | | 15 | "Then, a laugh—high, brittle, like ice cracking." | | 16 | "Then the figure lunged—not at her, past her, into the market’s chaos of stalls and shadows." | | 17 | "A distant sound—like wings scraping stone—rippled through the tunnel." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1228 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 40 | | adverbRatio | 0.03257328990228013 | | lyAdverbCount | 13 | | lyAdverbRatio | 0.010586319218241042 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 225 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 225 | | mean | 7.5 | | std | 5.66 | | cv | 0.756 | | sampleLengths | | 0 | 9 | | 1 | 19 | | 2 | 15 | | 3 | 20 | | 4 | 11 | | 5 | 8 | | 6 | 13 | | 7 | 15 | | 8 | 29 | | 9 | 19 | | 10 | 23 | | 11 | 15 | | 12 | 8 | | 13 | 12 | | 14 | 3 | | 15 | 6 | | 16 | 5 | | 17 | 12 | | 18 | 15 | | 19 | 9 | | 20 | 27 | | 21 | 5 | | 22 | 3 | | 23 | 8 | | 24 | 13 | | 25 | 12 | | 26 | 2 | | 27 | 3 | | 28 | 4 | | 29 | 7 | | 30 | 5 | | 31 | 12 | | 32 | 4 | | 33 | 8 | | 34 | 6 | | 35 | 3 | | 36 | 4 | | 37 | 8 | | 38 | 4 | | 39 | 12 | | 40 | 3 | | 41 | 7 | | 42 | 22 | | 43 | 5 | | 44 | 23 | | 45 | 6 | | 46 | 11 | | 47 | 4 | | 48 | 3 | | 49 | 6 |
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| 45.04% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.3022222222222222 | | totalSentences | 225 | | uniqueOpeners | 68 | |
| 88.89% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 150 | | matches | | 0 | "Then, a laugh—high, brittle, like" | | 1 | "Then the figure lunged—not at" | | 2 | "Then at Quinn." | | 3 | "Then at the bloodstain, drying" |
| | ratio | 0.027 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 29 | | totalSentences | 150 | | matches | | 0 | "She stepped over a rusted" | | 1 | "She crouched, her leather watch" | | 2 | "She clutched the strap of" | | 3 | "She was tracing something on" | | 4 | "She rose, wiping her palm" | | 5 | "It had been set up" | | 6 | "Their contents powdered the concrete" | | 7 | "She reached for his left" | | 8 | "She snapped them on carefully." | | 9 | "She held her hand an" | | 10 | "She stood abruptly." | | 11 | "It dripped in a slow" | | 12 | "It didn’t feel like liquid." | | 13 | "It felt like *breath*." | | 14 | "She moved farther down the" | | 15 | "She turned back." | | 16 | "She tucked her hair behind" | | 17 | "She held it level." | | 18 | "She tapped her watch" | | 19 | "It was warm." |
| | ratio | 0.193 | |
| 46.67% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 124 | | totalSentences | 150 | | matches | | 0 | "The platform stretched beneath Camden" | | 1 | "Quinn adjusted the strap of" | | 2 | "The air smelled of mildew" | | 3 | "She stepped over a rusted" | | 4 | "The entrance hadn’t been here" | | 5 | "That was the thing about" | | 6 | "Someone had let her past" | | 7 | "The body lay sprawled near" | | 8 | "The victim’s chest had been" | | 9 | "Blood pooled dark and viscous" | | 10 | "The concrete beneath was dry" | | 11 | "She crouched, her leather watch" | | 12 | "The killer hadn’t moved the" | | 13 | "Whatever happened, it happened here." | | 14 | "Eva stood nearby, her round" | | 15 | "She clutched the strap of" | | 16 | "Eva said, not looking up" | | 17 | "She was tracing something on" | | 18 | "Quinn exhaled through her nose." | | 19 | "Eva finally met her eyes" |
| | ratio | 0.827 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 150 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 36 | | technicalSentenceCount | 1 | | matches | | 0 | "Toward a closed emergency exit door, its paint peeling, its frame warped as if something had tried to force its way through from the other side." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 4 | | matches | | 0 | "Eva said, not looking up" | | 1 | "the taller one said, voice raspy" | | 2 | "She held, fingers trembling slightly" | | 3 | "Eva asked, voice tight" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 1 | | fancyTags | | 0 | "Eva whispered (whisper)" |
| | dialogueSentences | 67 | | tagDensity | 0.149 | | leniency | 0.299 | | rawRatio | 0.1 | | effectiveRatio | 0.03 | |