| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 26 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 45 | | tagDensity | 0.578 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1331 | | 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) | |
| 43.65% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1331 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "gloom" | | 1 | "perfect" | | 2 | "echoed" | | 3 | "shimmered" | | 4 | "standard" | | 5 | "silence" | | 6 | "weight" | | 7 | "pulsed" | | 8 | "vibrated" | | 9 | "wavered" | | 10 | "flickered" | | 11 | "shattered" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 210 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 210 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 229 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 27 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1331 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 23 | | unquotedAttributions | 0 | | matches | (empty) | |
| 32.24% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 49 | | wordCount | 1019 | | uniqueNames | 8 | | maxNameDensity | 2.36 | | worstName | "Quinn" | | maxWindowNameDensity | 4 | | worstWindowName | "Quinn" | | discoveredNames | | Morris | 1 | | Quinn | 24 | | Veil | 1 | | Compass | 1 | | Soho | 1 | | Miller | 19 | | High | 1 | | Street | 1 |
| | persons | | 0 | "Morris" | | 1 | "Quinn" | | 2 | "Compass" | | 3 | "Miller" |
| | places | | | globalScore | 0.322 | | windowScore | 0.333 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 60 | | glossingSentenceCount | 1 | | matches | | 0 | "sounded like a gunshot in the silence" |
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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 | 1331 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 229 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 58 | | mean | 22.95 | | std | 12.54 | | cv | 0.547 | | sampleLengths | | 0 | 54 | | 1 | 15 | | 2 | 38 | | 3 | 26 | | 4 | 31 | | 5 | 35 | | 6 | 30 | | 7 | 46 | | 8 | 13 | | 9 | 49 | | 10 | 36 | | 11 | 23 | | 12 | 18 | | 13 | 54 | | 14 | 39 | | 15 | 19 | | 16 | 38 | | 17 | 28 | | 18 | 25 | | 19 | 15 | | 20 | 24 | | 21 | 27 | | 22 | 26 | | 23 | 10 | | 24 | 44 | | 25 | 13 | | 26 | 12 | | 27 | 9 | | 28 | 15 | | 29 | 32 | | 30 | 31 | | 31 | 14 | | 32 | 6 | | 33 | 27 | | 34 | 36 | | 35 | 18 | | 36 | 3 | | 37 | 35 | | 38 | 5 | | 39 | 16 | | 40 | 17 | | 41 | 30 | | 42 | 14 | | 43 | 32 | | 44 | 21 | | 45 | 12 | | 46 | 22 | | 47 | 8 | | 48 | 12 | | 49 | 12 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 210 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 221 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 229 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1020 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 21 | | adverbRatio | 0.020588235294117647 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.0058823529411764705 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 229 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 229 | | mean | 5.81 | | std | 3.79 | | cv | 0.653 | | sampleLengths | | 0 | 13 | | 1 | 3 | | 2 | 14 | | 3 | 12 | | 4 | 4 | | 5 | 8 | | 6 | 2 | | 7 | 2 | | 8 | 11 | | 9 | 11 | | 10 | 9 | | 11 | 3 | | 12 | 7 | | 13 | 8 | | 14 | 5 | | 15 | 7 | | 16 | 4 | | 17 | 10 | | 18 | 5 | | 19 | 4 | | 20 | 22 | | 21 | 4 | | 22 | 3 | | 23 | 8 | | 24 | 4 | | 25 | 16 | | 26 | 4 | | 27 | 5 | | 28 | 5 | | 29 | 16 | | 30 | 8 | | 31 | 3 | | 32 | 10 | | 33 | 4 | | 34 | 5 | | 35 | 4 | | 36 | 5 | | 37 | 2 | | 38 | 5 | | 39 | 4 | | 40 | 9 | | 41 | 5 | | 42 | 6 | | 43 | 5 | | 44 | 3 | | 45 | 12 | | 46 | 7 | | 47 | 7 | | 48 | 4 | | 49 | 4 |
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| 32.53% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 40 | | diversityRatio | 0.24890829694323144 | | totalSentences | 229 | | uniqueOpeners | 57 | |
| 96.90% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 172 | | matches | | 0 | "Just a small, perfect circle" | | 1 | "Then it swung hard to" | | 2 | "Only the flashlight remained, cutting" | | 3 | "Only the shadow remained." | | 4 | "Just a ripple in the" |
| | ratio | 0.029 | |
| 22.33% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 85 | | totalSentences | 172 | | matches | | 0 | "They didn't drift." | | 1 | "They swirled in a counter-clockwise" | | 2 | "She ignored the pain." | | 3 | "Her eyes stayed fixed on" | | 4 | "He held a notepad, pen" | | 5 | "He looked bored." | | 6 | "Her voice echoed off the" | | 7 | "It lingered, bouncing back a" | | 8 | "He didn't look up." | | 9 | "She reached out." | | 10 | "Her gloved finger hovered over" | | 11 | "She didn't touch it." | | 12 | "He finally looked at her." | | 13 | "His eyes were flat, tired." | | 14 | "Her joints popped." | | 15 | "She adjusted the worn leather" | | 16 | "It had belonged to Morris." | | 17 | "She checked the time." | | 18 | "She reached into her coat" | | 19 | "Her fingers brushed cold brass." |
| | ratio | 0.494 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 161 | | totalSentences | 172 | | matches | | 0 | "The flashlight beam cut through" | | 1 | "They didn't drift." | | 2 | "They swirled in a counter-clockwise" | | 3 | "Quinn crouched beside the body," | | 4 | "She ignored the pain." | | 5 | "Her eyes stayed fixed on" | | 6 | "Miller stood near the tunnel" | | 7 | "He held a notepad, pen" | | 8 | "He looked bored." | | 9 | "Quinn hated bored cops at" | | 10 | "Her voice echoed off the" | | 11 | "The sound didn't fade." | | 12 | "It lingered, bouncing back a" | | 13 | "He didn't look up." | | 14 | "She reached out." | | 15 | "Her gloved finger hovered over" | | 16 | "She didn't touch it." | | 17 | "The air above the mark" | | 18 | "He finally looked at her." | | 19 | "His eyes were flat, tired." |
| | ratio | 0.936 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 172 | | matches | (empty) | | ratio | 0 | |
| 98.21% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 16 | | technicalSentenceCount | 1 | | matches | | 0 | "The flashlight beam cut through the gloom, catching dust motes that floated wrong." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 26 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 61.11% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 21 | | fancyCount | 4 | | fancyTags | | 0 | "Quinn snapped (snap)" | | 1 | "Miller laughed (laugh)" | | 2 | "Miller whispered (whisper)" | | 3 | "Miller shouted (shout)" |
| | dialogueSentences | 45 | | tagDensity | 0.467 | | leniency | 0.933 | | rawRatio | 0.19 | | effectiveRatio | 0.178 | |