| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 20 | | tagDensity | 0.45 | | leniency | 0.9 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1184 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 45.10% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1184 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "rhythmic" | | 1 | "structure" | | 2 | "traced" | | 3 | "pulse" | | 4 | "etched" | | 5 | "weight" | | 6 | "pulsed" | | 7 | "vibrated" | | 8 | "velvet" | | 9 | "chaotic" | | 10 | "scanned" | | 11 | "flicker" | | 12 | "echoing" |
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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 | 80 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 80 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 92 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 38 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1179 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 15 | | wordCount | 979 | | uniqueNames | 11 | | maxNameDensity | 0.31 | | worstName | "Tomás" | | maxWindowNameDensity | 1 | | worstWindowName | "Tomás" | | discoveredNames | | Soho | 1 | | Veil | 2 | | Market | 2 | | Morris | 1 | | Metropolitan | 1 | | Police | 1 | | Tube | 1 | | Herrera | 1 | | Saint | 1 | | Christopher | 1 | | Tomás | 3 |
| | persons | | 0 | "Morris" | | 1 | "Police" | | 2 | "Herrera" | | 3 | "Saint" | | 4 | "Christopher" | | 5 | "Tomás" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 66 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like wet parchment" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1179 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 92 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 38 | | mean | 31.03 | | std | 18.64 | | cv | 0.601 | | sampleLengths | | 0 | 53 | | 1 | 63 | | 2 | 53 | | 3 | 2 | | 4 | 39 | | 5 | 3 | | 6 | 40 | | 7 | 40 | | 8 | 53 | | 9 | 44 | | 10 | 48 | | 11 | 11 | | 12 | 27 | | 13 | 56 | | 14 | 44 | | 15 | 33 | | 16 | 9 | | 17 | 57 | | 18 | 4 | | 19 | 44 | | 20 | 12 | | 21 | 41 | | 22 | 6 | | 23 | 56 | | 24 | 38 | | 25 | 7 | | 26 | 26 | | 27 | 31 | | 28 | 25 | | 29 | 24 | | 30 | 35 | | 31 | 8 | | 32 | 22 | | 33 | 61 | | 34 | 24 | | 35 | 5 | | 36 | 24 | | 37 | 11 |
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| 96.49% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 80 | | matches | | 0 | "been extinguished" | | 1 | "was gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 179 | | matches | | |
| 49.69% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 92 | | ratio | 0.033 | | matches | | 0 | "Ahead, the suspect—a lean figure in a damp, dark windbreaker—vaulted over a stack of rusted refuse bins with unnatural, rhythmic grace." | | 1 | "He shoved the iron key into a small, jagged hole in the brickwork, and a section of the wall—solid, ancient masonry—groaned and shuddered inward." | | 2 | "I knew him from the files—the disgraced paramedic who’d lost his license for treating the 'unseen' patients." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 824 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small, dull, yellowish object" |
| | adverbCount | 15 | | adverbRatio | 0.01820388349514563 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.0048543689320388345 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 92 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 92 | | mean | 12.82 | | std | 7.29 | | cv | 0.569 | | sampleLengths | | 0 | 13 | | 1 | 19 | | 2 | 21 | | 3 | 3 | | 4 | 17 | | 5 | 19 | | 6 | 13 | | 7 | 11 | | 8 | 12 | | 9 | 14 | | 10 | 27 | | 11 | 2 | | 12 | 12 | | 13 | 3 | | 14 | 24 | | 15 | 3 | | 16 | 3 | | 17 | 20 | | 18 | 15 | | 19 | 1 | | 20 | 1 | | 21 | 11 | | 22 | 15 | | 23 | 6 | | 24 | 8 | | 25 | 8 | | 26 | 15 | | 27 | 17 | | 28 | 13 | | 29 | 5 | | 30 | 1 | | 31 | 10 | | 32 | 11 | | 33 | 3 | | 34 | 14 | | 35 | 9 | | 36 | 17 | | 37 | 22 | | 38 | 11 | | 39 | 7 | | 40 | 14 | | 41 | 6 | | 42 | 16 | | 43 | 13 | | 44 | 11 | | 45 | 16 | | 46 | 6 | | 47 | 14 | | 48 | 10 | | 49 | 14 |
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| 52.54% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.3804347826086957 | | totalSentences | 92 | | uniqueOpeners | 35 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 75 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 42 | | totalSentences | 75 | | matches | | 0 | "My boot heels slammed against" | | 1 | "I didn't slow." | | 2 | "My closely cropped salt-and-pepper hair" | | 3 | "I adjusted the worn leather" | | 4 | "He banked hard around a" | | 5 | "I followed his trajectory, boots" | | 6 | "I regained my balance, lungs" | | 7 | "He didn't speak." | | 8 | "He shoved the iron key" | | 9 | "He didn't hesitate." | | 10 | "He slipped through the widening" | | 11 | "My fingers clawed at the" | | 12 | "I traced the cold stone," | | 13 | "It wasn't the smell of" | | 14 | "It was the scent of" | | 15 | "My mind surged with memories" | | 16 | "I’d walked away, and the" | | 17 | "I retreated, searching the cobblestones." | | 18 | "I pried at it with" | | 19 | "I felt the weight of" |
| | ratio | 0.56 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 69 | | totalSentences | 75 | | matches | | 0 | "My boot heels slammed against" | | 1 | "Rain lashed down in freezing" | | 2 | "I didn't slow." | | 3 | "The metallic tang of ozone" | | 4 | "My closely cropped salt-and-pepper hair" | | 5 | "I adjusted the worn leather" | | 6 | "He banked hard around a" | | 7 | "I followed his trajectory, boots" | | 8 | "I regained my balance, lungs" | | 9 | "The suspect spun, eyes widening" | | 10 | "He didn't speak." | | 11 | "He shoved the iron key" | | 12 | "He didn't hesitate." | | 13 | "He slipped through the widening" | | 14 | "My fingers clawed at the" | | 15 | "I traced the cold stone," | | 16 | "A faint, lingering scent of" | | 17 | "It wasn't the smell of" | | 18 | "It was the scent of" | | 19 | "My mind surged with memories" |
| | ratio | 0.92 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 75 | | matches | | 0 | "If I lost him now," | | 1 | "If I summoned a squad," |
| | ratio | 0.027 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 50 | | technicalSentenceCount | 1 | | matches | | 0 | "It dissolved, the mortar softening into a viscous, tar-like substance that swallowed my hand." |
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| 13.89% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 2 | | matches | | 0 | "I asked, my voice tight" | | 1 | "Tomás grabbed, his grip surprisingly strong" |
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| 50.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 2 | | fancyTags | | 0 | "I shouted (shout)" | | 1 | "he hissed (hiss)" |
| | dialogueSentences | 20 | | tagDensity | 0.15 | | leniency | 0.3 | | rawRatio | 0.667 | | effectiveRatio | 0.2 | |