| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 38 | | tagDensity | 0.395 | | leniency | 0.789 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 91.64% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1196 | | 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) | |
| 28.93% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1196 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "echoing" | | 1 | "shattered" | | 2 | "vibrated" | | 3 | "scanned" | | 4 | "pulse" | | 5 | "echo" | | 6 | "structure" | | 7 | "footsteps" | | 8 | "stark" | | 9 | "trembled" | | 10 | "etched" | | 11 | "standard" | | 12 | "rhythmic" | | 13 | "scanning" | | 14 | "tracing" | | 15 | "silence" |
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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 | 116 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 0 | | narrationSentences | 116 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 139 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 16 | | markdownWords | 17 | | totalWords | 1176 | | ratio | 0.014 | | matches | | 0 | "pushed" | | 1 | "down" | | 2 | "you" | | 3 | "my" | | 4 | "signature" | | 5 | "something" | | 6 | "active" | | 7 | "Void-cold" | | 8 | "unmade" | | 9 | "before" | | 10 | "during" | | 11 | "Through" | | 12 | "sank in" | | 13 | "There" | | 14 | "through" | | 15 | "absorbed" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 42 | | wordCount | 825 | | uniqueNames | 8 | | maxNameDensity | 1.82 | | worstName | "Quinn" | | maxWindowNameDensity | 5 | | worstWindowName | "Eva" | | discoveredNames | | Camden | 1 | | Harlow | 1 | | Quinn | 15 | | Callum | 1 | | Rhodes | 8 | | Kowalski | 1 | | Eva | 14 | | Morris | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Rhodes" | | 3 | "Kowalski" | | 4 | "Eva" | | 5 | "Morris" |
| | places | (empty) | | globalScore | 0.591 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 50 | | 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 | 1176 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 139 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 61 | | mean | 19.28 | | std | 16.7 | | cv | 0.866 | | sampleLengths | | 0 | 69 | | 1 | 28 | | 2 | 8 | | 3 | 69 | | 4 | 11 | | 5 | 43 | | 6 | 7 | | 7 | 26 | | 8 | 41 | | 9 | 12 | | 10 | 52 | | 11 | 7 | | 12 | 43 | | 13 | 9 | | 14 | 22 | | 15 | 8 | | 16 | 48 | | 17 | 10 | | 18 | 18 | | 19 | 3 | | 20 | 28 | | 21 | 9 | | 22 | 38 | | 23 | 8 | | 24 | 7 | | 25 | 20 | | 26 | 14 | | 27 | 35 | | 28 | 5 | | 29 | 7 | | 30 | 18 | | 31 | 30 | | 32 | 11 | | 33 | 39 | | 34 | 13 | | 35 | 18 | | 36 | 12 | | 37 | 5 | | 38 | 7 | | 39 | 12 | | 40 | 3 | | 41 | 60 | | 42 | 12 | | 43 | 16 | | 44 | 19 | | 45 | 4 | | 46 | 14 | | 47 | 27 | | 48 | 4 | | 49 | 6 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 116 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 153 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 18 | | semicolonCount | 0 | | flaggedSentences | 14 | | totalSentences | 139 | | ratio | 0.101 | | matches | | 0 | "The air hung thick with mildew and something sharper—ozone, maybe, or burnt copper." | | 1 | "“Decomposition’s advanced, ma’am. Barely anything left but bones… and this.” He pointed to a dark stain seeping through the platform’s grime—circular, iridescent at the edges, like oil on water." | | 2 | "Just the stain—and the smell." | | 3 | "The scar there—a thin, puckered line shaped like a broken star—tingled." | | 4 | "The symbols were carved—deep, deliberate—into the plaster." | | 5 | "The grooves caught the light oddly—shallow near the edges, deeper in the middle, like something had *pushed* up from beneath the wall." | | 6 | "Eva Kowalski stood at the edge of the platform, one hand clutching a worn leather satchel, the other tucked a curl of red hair behind her left ear—then again, immediately after." | | 7 | "Not fear—urgency." | | 8 | "She knelt, pulled out a slim brass device—the size of a pocket watch, its face etched with tiny runes." | | 9 | "And Eva—a researcher with access to forbidden archives—showing up with a magical device like it was standard procedure." | | 10 | "And beneath it—faint, rhythmic—a pulse." | | 11 | "They *sank in*—vanishing into the wall like it was fog." | | 12 | "For half a second, the wall became translucent—a tunnel yawned behind it, lined with cobblestones and flickering lanterns, bustling with figures in hooded cloaks." | | 13 | "She looked at the wall—the normal, broken, graffiti-covered wall." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 846 | | adjectiveStacks | 1 | | stackExamples | | 0 | "normal, broken, graffiti-covered wall." |
| | adverbCount | 30 | | adverbRatio | 0.03546099290780142 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.008274231678486997 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 139 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 139 | | mean | 8.46 | | std | 7.05 | | cv | 0.834 | | sampleLengths | | 0 | 22 | | 1 | 22 | | 2 | 13 | | 3 | 12 | | 4 | 28 | | 5 | 5 | | 6 | 3 | | 7 | 10 | | 8 | 17 | | 9 | 29 | | 10 | 13 | | 11 | 4 | | 12 | 4 | | 13 | 3 | | 14 | 26 | | 15 | 17 | | 16 | 3 | | 17 | 4 | | 18 | 9 | | 19 | 8 | | 20 | 5 | | 21 | 2 | | 22 | 2 | | 23 | 19 | | 24 | 11 | | 25 | 5 | | 26 | 4 | | 27 | 2 | | 28 | 12 | | 29 | 4 | | 30 | 4 | | 31 | 7 | | 32 | 18 | | 33 | 19 | | 34 | 4 | | 35 | 3 | | 36 | 8 | | 37 | 13 | | 38 | 22 | | 39 | 4 | | 40 | 5 | | 41 | 7 | | 42 | 3 | | 43 | 3 | | 44 | 9 | | 45 | 4 | | 46 | 2 | | 47 | 2 | | 48 | 31 | | 49 | 10 |
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| 63.55% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.4028776978417266 | | totalSentences | 139 | | uniqueOpeners | 56 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 90 | | matches | | 0 | "Just the stain—and the smell." | | 1 | "Too many loose threads." | | 2 | "Then it snapped back." | | 3 | "Just a stain on the" |
| | ratio | 0.044 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 24 | | totalSentences | 90 | | matches | | 0 | "Her leather watch ticked low" | | 1 | "He was young, clean-shaven, the" | | 2 | "He pointed to a dark" | | 3 | "Her sharp jaw tightened." | | 4 | "She scanned the platform." | | 5 | "She unbuttoned her coat, rolled" | | 6 | "It always did near death." | | 7 | "Her eyes landed on the" | | 8 | "She pulled a penlight from" | | 9 | "they pointed *down*, not north." | | 10 | "She tapped her penlight against" | | 11 | "Her round glasses caught the" | | 12 | "She knelt, pulled out a" | | 13 | "Her military-trained mind charted angles," | | 14 | "She walked to the center" | | 15 | "She stood, turning slowly, scanning" | | 16 | "She pointed to the tiles" | | 17 | "She strode forward, her fingers" | | 18 | "She stepped back, pulled her" | | 19 | "They *sank in*—vanishing into the" |
| | ratio | 0.267 | |
| 93.33% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 66 | | totalSentences | 90 | | matches | | 0 | "Rainwater dripped from the rusted" | | 1 | "Detective Harlow Quinn stepped off" | | 2 | "The air hung thick with" | | 3 | "Her leather watch ticked low" | | 4 | "Quinn stopped two paces in." | | 5 | "DS Callum Rhodes turned, wiping" | | 6 | "He was young, clean-shaven, the" | | 7 | "He pointed to a dark" | | 8 | "A faint hum vibrated beneath" | | 9 | "Quinn crouched, not touching." | | 10 | "Her sharp jaw tightened." | | 11 | "Quinn didn’t answer." | | 12 | "She scanned the platform." | | 13 | "She unbuttoned her coat, rolled" | | 14 | "The scar there—a thin, puckered" | | 15 | "It always did near death." | | 16 | "Her eyes landed on the" | | 17 | "Graffiti covered the tile." | | 18 | "The symbols were carved—deep, deliberate—into" | | 19 | "Rhodes followed her gaze." |
| | ratio | 0.733 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 90 | | matches | (empty) | | ratio | 0 | |
| 63.49% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 27 | | technicalSentenceCount | 3 | | matches | | 0 | "Detective Harlow Quinn stepped off the makeshift wooden plank bridging the train tracks, her boots crunching over shattered tiles and pigeon bones." | | 1 | "Fluorescent work lights buzzed overhead, casting a sickly yellow glow over chalk outlines, scattered evidence tags, and the silhouette of someone kneeling besid…" | | 2 | "And in the center: a crude compass rose with one arrow trembling, as if drawn by a shaking hand." |
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| 91.67% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 1 | | matches | | 0 | "She strode, her fingers tracing the carved symbols" |
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| 44.74% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 4 | | fancyTags | | 0 | "Eva snapped (snap)" | | 1 | "Quinn murmured (murmur)" | | 2 | "Quinn continued (continue)" | | 3 | "Eva whispered (whisper)" |
| | dialogueSentences | 38 | | tagDensity | 0.184 | | leniency | 0.368 | | rawRatio | 0.571 | | effectiveRatio | 0.211 | |