| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 1 | | adverbTags | | | dialogueSentences | 65 | | tagDensity | 0.277 | | leniency | 0.554 | | rawRatio | 0.056 | | effectiveRatio | 0.031 | |
| 96.61% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1476 | | 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) | |
| 52.57% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1476 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "navigated" | | 1 | "pristine" | | 2 | "charged" | | 3 | "scanning" | | 4 | "etched" | | 5 | "magnetic" | | 6 | "firmly" | | 7 | "traced" | | 8 | "wavered" | | 9 | "footsteps" | | 10 | "echoed" | | 11 | "pulsed" |
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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 | 95 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 95 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 142 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 42 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1466 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 16 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 31 | | wordCount | 871 | | uniqueNames | 9 | | maxNameDensity | 1.26 | | worstName | "Weston" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Weston" | | discoveredNames | | Tube | 1 | | Quinn | 9 | | Weston | 11 | | Oxford | 1 | | Italian | 1 | | Morris | 2 | | Omega | 1 | | Harlow | 2 | | Three | 3 |
| | persons | | 0 | "Quinn" | | 1 | "Weston" | | 2 | "Morris" | | 3 | "Harlow" |
| | places | | | globalScore | 0.869 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 60 | | 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 | 1466 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 142 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 68 | | mean | 21.56 | | std | 17.77 | | cv | 0.824 | | sampleLengths | | 0 | 61 | | 1 | 22 | | 2 | 3 | | 3 | 19 | | 4 | 36 | | 5 | 77 | | 6 | 1 | | 7 | 15 | | 8 | 19 | | 9 | 5 | | 10 | 34 | | 11 | 8 | | 12 | 41 | | 13 | 10 | | 14 | 46 | | 15 | 18 | | 16 | 25 | | 17 | 34 | | 18 | 52 | | 19 | 5 | | 20 | 10 | | 21 | 6 | | 22 | 46 | | 23 | 8 | | 24 | 3 | | 25 | 53 | | 26 | 4 | | 27 | 4 | | 28 | 49 | | 29 | 20 | | 30 | 7 | | 31 | 12 | | 32 | 19 | | 33 | 3 | | 34 | 3 | | 35 | 17 | | 36 | 29 | | 37 | 10 | | 38 | 4 | | 39 | 33 | | 40 | 20 | | 41 | 24 | | 42 | 23 | | 43 | 3 | | 44 | 3 | | 45 | 33 | | 46 | 6 | | 47 | 11 | | 48 | 9 | | 49 | 5 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 95 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 145 | | matches | | |
| 22.13% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 142 | | ratio | 0.042 | | matches | | 0 | "No visible wounds marked his body—no stab marks, no bullet holes, no bruising that she could see." | | 1 | "\"A thirty-something man's heart simply stopped in an abandoned Tube station at—\" she checked her watch—\"two in the morning.\"" | | 2 | "The shoes—Italian leather, probably worth more than her monthly salary—showed zero scuffing." | | 3 | "But this man hadn't been mugged—his watch still circled his wrist, a vintage Omega that would fetch thousands." | | 4 | "Her gaze caught on something near the far wall—a faint shimmer, like heat haze rising from summer tarmac." | | 5 | "There—faint lines, barely visible against the pale skin." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 622 | | adjectiveStacks | 1 | | stackExamples | | 0 | "thrill-seekers, rough sleepers—" |
| | adverbCount | 16 | | adverbRatio | 0.02572347266881029 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.006430868167202572 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 142 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 142 | | mean | 10.32 | | std | 7.74 | | cv | 0.75 | | sampleLengths | | 0 | 10 | | 1 | 26 | | 2 | 10 | | 3 | 15 | | 4 | 14 | | 5 | 8 | | 6 | 3 | | 7 | 15 | | 8 | 4 | | 9 | 8 | | 10 | 28 | | 11 | 5 | | 12 | 17 | | 13 | 17 | | 14 | 16 | | 15 | 8 | | 16 | 2 | | 17 | 1 | | 18 | 11 | | 19 | 1 | | 20 | 5 | | 21 | 10 | | 22 | 19 | | 23 | 5 | | 24 | 16 | | 25 | 18 | | 26 | 5 | | 27 | 3 | | 28 | 41 | | 29 | 10 | | 30 | 4 | | 31 | 16 | | 32 | 8 | | 33 | 12 | | 34 | 6 | | 35 | 18 | | 36 | 6 | | 37 | 19 | | 38 | 3 | | 39 | 10 | | 40 | 5 | | 41 | 2 | | 42 | 14 | | 43 | 4 | | 44 | 28 | | 45 | 20 | | 46 | 5 | | 47 | 8 | | 48 | 2 | | 49 | 6 |
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| 70.42% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.44366197183098594 | | totalSentences | 142 | | uniqueOpeners | 63 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 89 | | matches | (empty) | | ratio | 0 | |
| 89.66% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 29 | | totalSentences | 89 | | matches | | 0 | "He turned at her approach," | | 1 | "She crossed to where a" | | 2 | "His clothes hung intact: grey" | | 3 | "His face held an expression" | | 4 | "she checked her watch—\"two in" | | 5 | "She knelt again, this time" | | 6 | "She ignored him." | | 7 | "She'd learned to pay attention" | | 8 | "Her gaze caught on something" | | 9 | "She walked toward it." | | 10 | "She'd seen similar markings before." | | 11 | "It spun in lazy circles," | | 12 | "she called over her shoulder" | | 13 | "She held it up" | | 14 | "He turned back toward the" | | 15 | "She pressed the compass into" | | 16 | "He walked back, face pale." | | 17 | "She retrieved the compass, and" | | 18 | "Her skin prickled." | | 19 | "She glanced at the body," |
| | ratio | 0.326 | |
| 38.65% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 75 | | totalSentences | 89 | | matches | | 0 | "The abandoned Tube station stank" | | 1 | "Harlow Quinn ducked beneath the" | | 2 | "Water dripped somewhere in the" | | 3 | "Tiles peeled from the walls" | | 4 | "He turned at her approach," | | 5 | "She crossed to where a" | | 6 | "Weston gestured toward the body" | | 7 | "Quinn crouched beside the corpse." | | 8 | "The man lay on his" | | 9 | "His clothes hung intact: grey" | | 10 | "His face held an expression" | | 11 | "The kind that came from" | | 12 | "Weston flipped open his notebook." | | 13 | "she checked her watch—\"two in" | | 14 | "Quinn rose, brushing dust from" | | 15 | "Weston frowned but leaned in." | | 16 | "Quinn circled the body." | | 17 | "The floodlights threw harsh shadows" | | 18 | "She knelt again, this time" | | 19 | "The shoes—Italian leather, probably worth" |
| | ratio | 0.843 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 89 | | matches | (empty) | | ratio | 0 | |
| 56.28% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 33 | | technicalSentenceCount | 4 | | matches | | 0 | "Tiles peeled from the walls in curling strips, revealing brick that crumbled like wet sand." | | 1 | "The kind that came from pharmaceutical intervention or something far stranger." | | 2 | "A small rectangular outline remained imprinted in the fabric, the ghost of something that had rested there for years." | | 3 | "Something that had left a man dead with symbols carved into his throat and a compass that tracked things that had no business existing." |
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| 97.22% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 1 | | matches | | 0 | "her partner had, the coroner's report citing" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 65 | | tagDensity | 0.031 | | leniency | 0.062 | | rawRatio | 0.5 | | effectiveRatio | 0.031 | |