| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 1 | | adverbTags | | | dialogueSentences | 30 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0.1 | | effectiveRatio | 0.067 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 859 | | 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) | |
| 18.51% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 859 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "pounding" | | 1 | "pulsed" | | 2 | "pulse" | | 3 | "footsteps" | | 4 | "flicker" | | 5 | "flicked" | | 6 | "echoed" | | 7 | "glinting" | | 8 | "echoing" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "air was thick with" | | count | 1 |
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| | highlights | | 0 | "The air was thick with" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 133 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 133 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 153 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 17 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 3 | | markdownWords | 5 | | totalWords | 853 | | ratio | 0.006 | | matches | | 0 | "The Raven’s Nest" | | 1 | "wrong" | | 2 | "wrong" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 18 | | unquotedAttributions | 0 | | matches | (empty) | |
| 55.79% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 16 | | wordCount | 743 | | uniqueNames | 3 | | maxNameDensity | 1.88 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | | persons | | | places | | | globalScore | 0.558 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 58 | | 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 | 853 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 153 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 63 | | mean | 13.54 | | std | 11.12 | | cv | 0.821 | | sampleLengths | | 0 | 46 | | 1 | 48 | | 2 | 3 | | 3 | 29 | | 4 | 9 | | 5 | 1 | | 6 | 2 | | 7 | 25 | | 8 | 11 | | 9 | 10 | | 10 | 12 | | 11 | 35 | | 12 | 5 | | 13 | 3 | | 14 | 14 | | 15 | 6 | | 16 | 3 | | 17 | 25 | | 18 | 13 | | 19 | 10 | | 20 | 6 | | 21 | 9 | | 22 | 26 | | 23 | 14 | | 24 | 17 | | 25 | 11 | | 26 | 9 | | 27 | 17 | | 28 | 10 | | 29 | 30 | | 30 | 6 | | 31 | 2 | | 32 | 24 | | 33 | 7 | | 34 | 6 | | 35 | 28 | | 36 | 14 | | 37 | 16 | | 38 | 2 | | 39 | 6 | | 40 | 2 | | 41 | 1 | | 42 | 5 | | 43 | 4 | | 44 | 26 | | 45 | 5 | | 46 | 8 | | 47 | 24 | | 48 | 4 | | 49 | 22 |
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| 99.99% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 133 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 140 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 153 | | ratio | 0.013 | | matches | | 0 | "The city’s pulse—cars, voices, distant laughter—faded into the storm." | | 1 | "The man—no, not a man—stepped closer." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 749 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 19 | | adverbRatio | 0.025367156208277702 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 153 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 153 | | mean | 5.58 | | std | 3.61 | | cv | 0.648 | | sampleLengths | | 0 | 14 | | 1 | 12 | | 2 | 4 | | 3 | 16 | | 4 | 8 | | 5 | 13 | | 6 | 3 | | 7 | 17 | | 8 | 7 | | 9 | 3 | | 10 | 3 | | 11 | 12 | | 12 | 2 | | 13 | 9 | | 14 | 3 | | 15 | 3 | | 16 | 3 | | 17 | 3 | | 18 | 1 | | 19 | 1 | | 20 | 1 | | 21 | 7 | | 22 | 11 | | 23 | 3 | | 24 | 2 | | 25 | 2 | | 26 | 11 | | 27 | 5 | | 28 | 2 | | 29 | 3 | | 30 | 12 | | 31 | 6 | | 32 | 11 | | 33 | 12 | | 34 | 6 | | 35 | 5 | | 36 | 3 | | 37 | 4 | | 38 | 10 | | 39 | 5 | | 40 | 1 | | 41 | 3 | | 42 | 3 | | 43 | 17 | | 44 | 5 | | 45 | 3 | | 46 | 6 | | 47 | 2 | | 48 | 2 | | 49 | 7 |
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| 39.54% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 16 | | diversityRatio | 0.26143790849673204 | | totalSentences | 153 | | uniqueOpeners | 40 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 106 | | matches | | 0 | "Just like the suspect’s trail" | | 1 | "Then, a sound." | | 2 | "Then, a movement." | | 3 | "Just for a second." | | 4 | "Then she followed." |
| | ratio | 0.047 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 31 | | totalSentences | 106 | | matches | | 0 | "She didn’t slow down." | | 1 | "She cut left, ducking under" | | 2 | "She pulled out her phone," | | 3 | "She was alone." | | 4 | "she replied, fingers brushing the" | | 5 | "His face was half-hidden beneath" | | 6 | "He tilted his head." | | 7 | "She didn’t answer." | | 8 | "His face was a mask" | | 9 | "he said, voice smooth as" | | 10 | "She knew that voice." | | 11 | "She drew her pistol, the" | | 12 | "She didn’t answer." | | 13 | "He just laughed, longer this" | | 14 | "He grabbed her wrist, twisting." | | 15 | "he said, voice close to" | | 16 | "She kicked him in the" | | 17 | "He grunted, but didn’t let" | | 18 | "His grip was iron." | | 19 | "She didn’t understand." |
| | ratio | 0.292 | |
| 30.75% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 91 | | totalSentences | 106 | | matches | | 0 | "The rain hammered against the" | | 1 | "Quinn’s coat pulled tight around" | | 2 | "She didn’t slow down." | | 3 | "The suspect’s taillights had vanished" | | 4 | "She cut left, ducking under" | | 5 | "The neon glow of *The" | | 6 | "The scent of stale beer" | | 7 | "A wrong turn." | | 8 | "Quinn’s jaw tightened." | | 9 | "She pulled out her phone," | | 10 | "The city’s pulse—cars, voices, distant" | | 11 | "She was alone." | | 12 | "Quinn spun, hand already on" | | 13 | "A figure stepped from the" | | 14 | "the figure said, voice low" | | 15 | "Quinn didn’t recognise the accent." | | 16 | "she replied, fingers brushing the" | | 17 | "The man—no, not a man—stepped" | | 18 | "His face was half-hidden beneath" | | 19 | "A scar ran along his" |
| | ratio | 0.858 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 106 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 20 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 4 | | matches | | 0 | "the figure said, voice low" | | 1 | "she replied, fingers brushing the grip of her pistol" | | 2 | "he said, voice smooth as oil" | | 3 | "he said, voice close to her ear" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 30 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0 | | effectiveRatio | 0 | |