| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 19 | | adverbTagCount | 1 | | adverbTags | | 0 | "she said quietly [quietly]" |
| | dialogueSentences | 43 | | tagDensity | 0.442 | | leniency | 0.884 | | rawRatio | 0.053 | | effectiveRatio | 0.047 | |
| 89.91% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1486 | | totalAiIsmAdverbs | 3 | | 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) | |
| 49.53% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1486 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "navigating" | | 1 | "gloom" | | 2 | "echoing" | | 3 | "scanning" | | 4 | "processed" | | 5 | "silence" | | 6 | "etched" | | 7 | "intricate" | | 8 | "dancing" | | 9 | "vibrated" | | 10 | "pulse" | | 11 | "could feel" | | 12 | "predator" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 114 | | matches | (empty) | |
| 80.20% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 3 | | narrationSentences | 114 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 138 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 39 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 1486 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 20 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.36% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 40 | | wordCount | 1076 | | uniqueNames | 6 | | maxNameDensity | 1.67 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 18 | | Tube | 1 | | Camden | 1 | | Miller | 16 | | Morris | 3 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Miller" | | 3 | "Morris" |
| | places | (empty) | | globalScore | 0.664 | | windowScore | 0.667 | |
| 85.90% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 78 | | glossingSentenceCount | 2 | | matches | | 0 | "lines that seemed to shift when looked at from the corner of the eye" | | 1 | "smelled like ozone and old copper" |
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| 65.41% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.346 | | wordCount | 1486 | | matches | | 0 | "not touching the body, but hovering her hand over the victim’s right hand" | | 1 | "Not at the wall itself, but at the space" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 138 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 45 | | mean | 33.02 | | std | 23.49 | | cv | 0.711 | | sampleLengths | | 0 | 89 | | 1 | 61 | | 2 | 30 | | 3 | 32 | | 4 | 70 | | 5 | 27 | | 6 | 23 | | 7 | 34 | | 8 | 60 | | 9 | 36 | | 10 | 52 | | 11 | 19 | | 12 | 6 | | 13 | 25 | | 14 | 12 | | 15 | 92 | | 16 | 13 | | 17 | 24 | | 18 | 7 | | 19 | 8 | | 20 | 12 | | 21 | 43 | | 22 | 47 | | 23 | 16 | | 24 | 3 | | 25 | 61 | | 26 | 11 | | 27 | 2 | | 28 | 44 | | 29 | 16 | | 30 | 33 | | 31 | 38 | | 32 | 41 | | 33 | 30 | | 34 | 10 | | 35 | 36 | | 36 | 29 | | 37 | 42 | | 38 | 3 | | 39 | 25 | | 40 | 62 | | 41 | 34 | | 42 | 24 | | 43 | 9 | | 44 | 95 |
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| 89.87% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 114 | | matches | | 0 | "was cropped" | | 1 | "was supposed" | | 2 | "was clenched" | | 3 | "was etched" | | 4 | "being sucked" |
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| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 7 | | totalVerbs | 187 | | matches | | 0 | "wasn’t pointing" | | 1 | "wasn’t pointing" | | 2 | "was spinning" | | 3 | "weren’t dancing" | | 4 | "was hiding" | | 5 | "was waiting" | | 6 | "was running" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 1 | | flaggedSentences | 1 | | totalSentences | 138 | | ratio | 0.007 | | matches | | 0 | "The dust motes weren’t dancing here; they were being sucked into the wall." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1078 | | adjectiveStacks | 1 | | stackExamples | | 0 | "long, sickly yellow stripes" |
| | adverbCount | 30 | | adverbRatio | 0.027829313543599257 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.00927643784786642 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 138 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 138 | | mean | 10.77 | | std | 7.03 | | cv | 0.652 | | sampleLengths | | 0 | 11 | | 1 | 37 | | 2 | 23 | | 3 | 1 | | 4 | 11 | | 5 | 6 | | 6 | 24 | | 7 | 19 | | 8 | 18 | | 9 | 19 | | 10 | 11 | | 11 | 16 | | 12 | 16 | | 13 | 4 | | 14 | 13 | | 15 | 20 | | 16 | 5 | | 17 | 20 | | 18 | 2 | | 19 | 6 | | 20 | 10 | | 21 | 9 | | 22 | 8 | | 23 | 7 | | 24 | 16 | | 25 | 25 | | 26 | 9 | | 27 | 6 | | 28 | 19 | | 29 | 14 | | 30 | 9 | | 31 | 12 | | 32 | 9 | | 33 | 16 | | 34 | 6 | | 35 | 5 | | 36 | 6 | | 37 | 17 | | 38 | 7 | | 39 | 22 | | 40 | 5 | | 41 | 14 | | 42 | 6 | | 43 | 2 | | 44 | 5 | | 45 | 5 | | 46 | 13 | | 47 | 3 | | 48 | 9 | | 49 | 6 |
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| 49.02% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.3382352941176471 | | totalSentences | 136 | | uniqueOpeners | 46 | |
| 66.01% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 101 | | matches | | 0 | "Just the body and the" | | 1 | "Instead, it was etched with" |
| | ratio | 0.02 | |
| 37.82% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 46 | | totalSentences | 101 | | matches | | 0 | "She adjusted the collar of" | | 1 | "It kept the ghosts at" | | 2 | "He stood up as Quinn" | | 3 | "She walked the perimeter of" | | 4 | "Her salt-and-pepper hair was cropped" | | 5 | "She stopped ten feet from" | | 6 | "she corrected, pointing a gloved" | | 7 | "She moved closer to the" | | 8 | "His face was pale, the" | | 9 | "It looked more like a" | | 10 | "She reached out, not touching" | | 11 | "It was clenched tight around" | | 12 | "She pried the fingers open." | | 13 | "It was a small brass" | | 14 | "It wasn’t pointing at all." | | 15 | "It was spinning slowly, lazily," | | 16 | "She walked to the edge" | | 17 | "It carried a static charge" | | 18 | "It reminded her of the" | | 19 | "It was now pointing directly" |
| | ratio | 0.455 | |
| 4.55% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 92 | | totalSentences | 101 | | matches | | 0 | "The air down here tasted" | | 1 | "Detective Harlow Quinn stepped off" | | 2 | "She adjusted the collar of" | | 3 | "The time didn’t matter, but" | | 4 | "It kept the ghosts at" | | 5 | "The scene was an abandoned" | | 6 | "Emergency lighting cast long, sickly" | | 7 | "DS Miller was already there," | | 8 | "He stood up as Quinn" | | 9 | "Miller said, his voice echoing" | | 10 | "Quinn didn’t answer immediately." | | 11 | "She walked the perimeter of" | | 12 | "Her salt-and-pepper hair was cropped" | | 13 | "The station was too clean." | | 14 | "Quinn said, her voice low" | | 15 | "She stopped ten feet from" | | 16 | "Miller sighed, the sound heavy" | | 17 | "she corrected, pointing a gloved" | | 18 | "She moved closer to the" | | 19 | "The victim was young, male," |
| | ratio | 0.911 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 101 | | matches | (empty) | | ratio | 0 | |
| 14.65% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 39 | | technicalSentenceCount | 7 | | matches | | 0 | "Detective Harlow Quinn stepped off the edge of the broken platform, her boots finding purchase on the uneven tiles with the practiced precision of someone who h…" | | 1 | "The scene was an abandoned Tube station beneath Camden, a ghost limb of the underground network that hadn’t seen a train in thirty years." | | 2 | "Emergency lighting cast long, sickly yellow stripes across the tracks, illuminating dust motes that danced in the stagnant air." | | 3 | "The victim was young, male, dressed in clothes that looked expensive but out of place in this derelict tunnel." | | 4 | "It carried a static charge that made the hair on her arms stand up." | | 5 | "A low hum vibrated through the soles of her boots, a frequency that sat just below hearing, resonating in her teeth." | | 6 | "The hum was louder now, a vibration in her chest that matched the rhythm of her own heartbeat." |
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| 19.74% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 19 | | uselessAdditionCount | 4 | | matches | | 0 | "Miller said, his voice echoing too loudly in the hollow space" | | 1 | "Quinn said, her voice low" | | 2 | "Miller asked, his skepticism warring with the unease creeping into his voice" | | 3 | "Quinn said, her voice hardening" |
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| 80.23% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 17 | | fancyCount | 3 | | fancyTags | | 0 | "she corrected (correct)" | | 1 | "Miller snapped (snap)" | | 2 | "Miller warned (warn)" |
| | dialogueSentences | 43 | | tagDensity | 0.395 | | leniency | 0.791 | | rawRatio | 0.176 | | effectiveRatio | 0.14 | |