| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 4 | | tagDensity | 0.75 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 67.85% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 622 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "softly" | | 1 | "suddenly" | | 2 | "utterly" | | 3 | "completely" |
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| 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) | |
| 19.61% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 622 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "flickered" | | 1 | "oppressive" | | 2 | "efficient" | | 3 | "pounding" | | 4 | "echoing" | | 5 | "glinting" | | 6 | "weight" | | 7 | "stomach" | | 8 | "structure" |
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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 | 38 | | matches | (empty) | |
| 0.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 2 | | narrationSentences | 38 | | filterMatches | | | hedgeMatches | | 0 | "seemed to" | | 1 | "appeared to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 39 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 33 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 618 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 20 | | wordCount | 602 | | uniqueNames | 9 | | maxNameDensity | 1.33 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Detective | 3 | | Harlow | 3 | | Quinn | 8 | | Raven | 1 | | Nest | 1 | | Suddenly | 1 | | Veil | 1 | | Market | 1 | | Tube | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Raven" | | 3 | "Nest" |
| | places | | | globalScore | 0.836 | | windowScore | 0.833 | |
| 80.56% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 36 | | glossingSentenceCount | 1 | | matches | | 0 | "buildings that seemed to lean in conspiratorially" |
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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 | 618 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 39 | | matches | (empty) | |
| 95.44% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 14 | | mean | 44.14 | | std | 21.37 | | cv | 0.484 | | sampleLengths | | 0 | 81 | | 1 | 38 | | 2 | 33 | | 3 | 58 | | 4 | 55 | | 5 | 33 | | 6 | 50 | | 7 | 22 | | 8 | 42 | | 9 | 73 | | 10 | 38 | | 11 | 13 | | 12 | 9 | | 13 | 73 |
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| 86.80% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 38 | | matches | | 0 | "been swallowed" | | 1 | "being lured" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 97 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 39 | | ratio | 0.077 | | matches | | 0 | "Her leather watch beeped softly on her left wrist—three minutes until backup arrived." | | 1 | "A shadow flickered at the end of the alley—definitely him." | | 2 | "\"Well, this complicates things,\" she said to no one, examining the token—which resembled the bone structure of a bird's wing—before pocketing it." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 613 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 14 | | adverbRatio | 0.022838499184339316 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.01631321370309951 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 39 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 39 | | mean | 15.85 | | std | 7.13 | | cv | 0.45 | | sampleLengths | | 0 | 24 | | 1 | 16 | | 2 | 23 | | 3 | 18 | | 4 | 17 | | 5 | 21 | | 6 | 14 | | 7 | 13 | | 8 | 6 | | 9 | 19 | | 10 | 17 | | 11 | 22 | | 12 | 23 | | 13 | 10 | | 14 | 22 | | 15 | 11 | | 16 | 22 | | 17 | 20 | | 18 | 15 | | 19 | 3 | | 20 | 4 | | 21 | 8 | | 22 | 22 | | 23 | 13 | | 24 | 17 | | 25 | 12 | | 26 | 30 | | 27 | 11 | | 28 | 32 | | 29 | 7 | | 30 | 22 | | 31 | 9 | | 32 | 9 | | 33 | 4 | | 34 | 9 | | 35 | 22 | | 36 | 22 | | 37 | 8 | | 38 | 21 |
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| 73.50% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.48717948717948717 | | totalSentences | 39 | | uniqueOpeners | 19 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 38 | | matches | | 0 | "THEN SHE SAW IT: an" | | 1 | "Suddenly, light bathed the alley" |
| | ratio | 0.053 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 9 | | totalSentences | 38 | | matches | | 0 | "Her worn leather soles sloshed" | | 1 | "she muttered, glancing up at" | | 2 | "Her sharp jaw was set," | | 3 | "Her leather watch beeped softly" | | 4 | "Her breathing grew more ragged" | | 5 | "she said to no one," | | 6 | "She was either being lured" | | 7 | "she whispered, staring down into" | | 8 | "Her leather watch glowed softy" |
| | ratio | 0.237 | |
| 78.42% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 29 | | totalSentences | 38 | | matches | | 0 | "The downpour hammered against the" | | 1 | "Her worn leather soles sloshed" | | 2 | "The distinctive green neon sign" | | 3 | "Quinn had lost the suspect" | | 4 | "she muttered, glancing up at" | | 5 | "Her sharp jaw was set," | | 6 | "Her leather watch beeped softly" | | 7 | "The figure disappeared into a" | | 8 | "Quinn sprinted after him, military" | | 9 | "The rain had ceased its" | | 10 | "THE RAT-RUN threatened to swallow" | | 11 | "A shadow flickered at the" | | 12 | "Her breathing grew more ragged" | | 13 | "The suspect ducked beneath a" | | 14 | "Quinn caught a glimpse of" | | 15 | "Quinn snatched it up, the" | | 16 | "This meant something more." | | 17 | "she said to no one," | | 18 | "Detective Harlow stamped water from" | | 19 | "Bone tokens had only one" |
| | ratio | 0.763 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 38 | | matches | | 0 | "Either way, there was no" |
| | ratio | 0.026 | |
| 10.58% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 27 | | technicalSentenceCount | 5 | | matches | | 0 | "Her sharp jaw was set, a shoulder tense against the downpour that had become her constant companion since the investigation began." | | 1 | "The rain had ceased its relentless pounding, now falling in a steady, miserable drizzle that blended with the sweat on her brow." | | 2 | "THE RAT-RUN threatened to swallow her whole, but Quinn pressed forward, tones cannons echoing between the buildings that seemed to lean in conspiratorially." | | 3 | "The rain continued above, but down here, in this forgotten place, the air was dry, warm, and smelled of ozone and ancient magic that pricked at the non-supernat…" | | 4 | "With a deep breath that expanded her chest cavity a thousand times over, Detective Harlow Quinn began her descent into the unknown." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 2 | | fancyTags | | 0 | "she muttered (mutter)" | | 1 | "she whispered (whisper)" |
| | dialogueSentences | 4 | | tagDensity | 0.75 | | leniency | 1 | | rawRatio | 0.667 | | effectiveRatio | 0.667 | |