| 82.35% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 3 | | adverbTags | | 0 | "she said finally [finally]" | | 1 | "she said carefully [carefully]" | | 2 | "Quinn said suddenly [suddenly]" |
| | dialogueSentences | 51 | | tagDensity | 0.353 | | leniency | 0.706 | | rawRatio | 0.167 | | effectiveRatio | 0.118 | |
| 87.84% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1234 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "slightly" | | 1 | "carefully" | | 2 | "suddenly" |
| |
| 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) | |
| 71.64% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1234 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "jaw clenched" | | 1 | "tracing" | | 2 | "dance" | | 3 | "scanning" | | 4 | "glint" | | 5 | "flickered" | | 6 | "pulse" |
| |
| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 3 | | maxInWindow | 2 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
| | 1 | | label | "jaw/fists clenched" | | count | 1 |
| | 2 | | label | "air was thick with" | | count | 1 |
|
| | highlights | | 0 | "eyes widened" | | 1 | "jaw clenched" | | 2 | "The air was thick with" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 108 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 108 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 140 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 37 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1217 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 24 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 48 | | wordCount | 751 | | uniqueNames | 11 | | maxNameDensity | 2.13 | | worstName | "Quinn" | | maxWindowNameDensity | 5.5 | | worstWindowName | "Eva" | | discoveredNames | | Camden | 1 | | Town | 1 | | Underground | 1 | | Detective | 1 | | Harlow | 1 | | Quinn | 16 | | Lyle | 10 | | Morris | 4 | | Veil | 1 | | Market | 1 | | Eva | 11 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Lyle" | | 3 | "Morris" | | 4 | "Eva" |
| | places | | 0 | "Camden" | | 1 | "Town" | | 2 | "Underground" | | 3 | "Detective" | | 4 | "Market" |
| | globalScore | 0.435 | | windowScore | 0 | |
| 94.44% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 45 | | glossingSentenceCount | 1 | | matches | | 0 | "something like it once before" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1217 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 140 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 57 | | mean | 21.35 | | std | 15.66 | | cv | 0.733 | | sampleLengths | | 0 | 72 | | 1 | 24 | | 2 | 49 | | 3 | 34 | | 4 | 57 | | 5 | 23 | | 6 | 23 | | 7 | 46 | | 8 | 9 | | 9 | 20 | | 10 | 38 | | 11 | 17 | | 12 | 40 | | 13 | 11 | | 14 | 3 | | 15 | 42 | | 16 | 4 | | 17 | 42 | | 18 | 10 | | 19 | 42 | | 20 | 3 | | 21 | 59 | | 22 | 17 | | 23 | 7 | | 24 | 40 | | 25 | 6 | | 26 | 23 | | 27 | 10 | | 28 | 8 | | 29 | 25 | | 30 | 4 | | 31 | 17 | | 32 | 12 | | 33 | 21 | | 34 | 14 | | 35 | 6 | | 36 | 23 | | 37 | 1 | | 38 | 13 | | 39 | 18 | | 40 | 26 | | 41 | 27 | | 42 | 12 | | 43 | 11 | | 44 | 9 | | 45 | 6 | | 46 | 21 | | 47 | 24 | | 48 | 29 | | 49 | 26 |
| |
| 98.77% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 108 | | matches | | |
| 52.94% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 136 | | matches | | 0 | "wasn’t lying" | | 1 | "was pointing" | | 2 | "was beginning" |
| |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 14 | | semicolonCount | 0 | | flaggedSentences | 12 | | totalSentences | 140 | | ratio | 0.086 | | matches | | 0 | "The air was thick with the scent of damp concrete, mildew, and something else—something metallic, like copper left too long in the rain." | | 1 | "His eyes, open and milky, didn’t reflect the light—they absorbed it." | | 2 | "A faint discoloration on the wall—like scorched shadow, but there was no fire damage." | | 3 | "\"There’s nothing symbolic about this place. It’s rot and rust. And that\"—she pointed to the stain on the wall—\"isn’t from a candle or a knife. It’s too precise. Concentric. Like a ripple.\"" | | 4 | "Her eyes caught on something at the edge of the light—a glint, small and dull." | | 5 | "He’d had a token in his pocket—just like this." | | 6 | "Morris had been chasing a rumor—a black market beneath the city." | | 7 | "A figure emerged from the tunnel—a woman, small, curly red hair escaping from beneath a woolen hat." | | 8 | "And she wasn’t lying—not entirely." | | 9 | "Morris had described the same thing—right before he collapsed." | | 10 | "The compass she’d tucked into her coat pocket—a gift from an anonymous source six months ago—gave a soft, almost imperceptible shiver." | | 11 | "It was pointing—steadily, insistently—toward the east." |
| |
| 99.43% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 580 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 21 | | adverbRatio | 0.03620689655172414 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.020689655172413793 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 140 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 140 | | mean | 8.69 | | std | 7.4 | | cv | 0.852 | | sampleLengths | | 0 | 17 | | 1 | 32 | | 2 | 23 | | 3 | 24 | | 4 | 21 | | 5 | 1 | | 6 | 1 | | 7 | 2 | | 8 | 5 | | 9 | 4 | | 10 | 2 | | 11 | 2 | | 12 | 11 | | 13 | 18 | | 14 | 16 | | 15 | 3 | | 16 | 29 | | 17 | 13 | | 18 | 7 | | 19 | 2 | | 20 | 3 | | 21 | 6 | | 22 | 17 | | 23 | 2 | | 24 | 21 | | 25 | 7 | | 26 | 4 | | 27 | 11 | | 28 | 10 | | 29 | 14 | | 30 | 9 | | 31 | 5 | | 32 | 15 | | 33 | 3 | | 34 | 35 | | 35 | 5 | | 36 | 12 | | 37 | 8 | | 38 | 32 | | 39 | 6 | | 40 | 5 | | 41 | 3 | | 42 | 6 | | 43 | 15 | | 44 | 16 | | 45 | 3 | | 46 | 1 | | 47 | 1 | | 48 | 4 | | 49 | 8 |
| |
| 57.62% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.39285714285714285 | | totalSentences | 140 | | uniqueOpeners | 55 | |
| 41.67% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 80 | | matches | | 0 | "Then at the detective beside" |
| | ratio | 0.013 | |
| 85.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 27 | | totalSentences | 80 | | matches | | 0 | "Her leather watch ticked steadily" | | 1 | "Her sharp jaw clenched as" | | 2 | "She knelt, her knees finding" | | 3 | "She’d done this dance a" | | 4 | "she said finally" | | 5 | "His skin was waxy." | | 6 | "His eyes, open and milky," | | 7 | "She looked past his face" | | 8 | "she pointed to the stain" | | 9 | "She turned, scanning the platform" | | 10 | "Her eyes caught on something" | | 11 | "She stepped forward, crouched, and" | | 12 | "It was carved." | | 13 | "she said, but she did" | | 14 | "She’d seen something like it" | | 15 | "He’d had a token in" | | 16 | "Her thoughts spiraled." | | 17 | "He’d muttered about and Then" | | 18 | "She was about to press" | | 19 | "She wore round glasses, a" |
| | ratio | 0.338 | |
| 35.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 68 | | totalSentences | 80 | | matches | | 0 | "Rain drummed a soft, insistent" | | 1 | "Neon reflections from the market" | | 2 | "The air was thick with" | | 3 | "Her leather watch ticked steadily" | | 4 | "The body lay sprawled across" | | 5 | "Quinn didn’t answer." | | 6 | "Her sharp jaw clenched as" | | 7 | "She knelt, her knees finding" | | 8 | "She’d done this dance a" | | 9 | "this was wrong." | | 10 | "she said finally" | | 11 | "Quinn’s fingers hovered over the" | | 12 | "His skin was waxy." | | 13 | "His eyes, open and milky," | | 14 | "She looked past his face" | | 15 | "A faint discoloration on the" | | 16 | "Quinn’s gaze narrowed." | | 17 | "Quinn stood, brushing dust from" | | 18 | "she pointed to the stain" | | 19 | "Lyle followed her gaze and" |
| | ratio | 0.85 | |
| 62.50% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 80 | | matches | | | ratio | 0.013 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 24 | | technicalSentenceCount | 1 | | matches | | 0 | "A needle that didn’t point north, but twitched uneasily whenever she passed old cemeteries or disused subway tunnels." |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 91.18% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 12 | | fancyCount | 3 | | fancyTags | | 0 | "murmured DS Lyle (murmur)" | | 1 | "she demanded (demand)" | | 2 | "Eva whispered (whisper)" |
| | dialogueSentences | 51 | | tagDensity | 0.235 | | leniency | 0.471 | | rawRatio | 0.25 | | effectiveRatio | 0.118 | |