| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1221 | | 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) | |
| 22.19% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1221 | | totalAiIsms | 19 | | found | | | highlights | | 0 | "oppressive" | | 1 | "silence" | | 2 | "shattered" | | 3 | "gloom" | | 4 | "flicker" | | 5 | "abyssal" | | 6 | "flickered" | | 7 | "weight" | | 8 | "whisper" | | 9 | "firmly" | | 10 | "etched" | | 11 | "rhythmic" | | 12 | "tracing" | | 13 | "measured" | | 14 | "tapestry" |
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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 | 92 | | matches | (empty) | |
| 18.63% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 4 | | hedgeCount | 4 | | narrationSentences | 92 | | filterMatches | | | hedgeMatches | | 0 | "seemed to" | | 1 | "began to" | | 2 | "tended to" |
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| 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 | 34 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1215 | | ratio | 0 | | matches | (empty) | |
| 41.67% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 3 | | matches | | 0 | "Look at the trajectory of the burn marks, Eva whispered, pointing with a shaking finger." | | 1 | "I lied, Eva admitted, the freckles across her nose standing out against her pale skin." | | 2 | "I want everything you have on these rifts, Quinn demanded, her tone leaving no room for negotiation." |
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| 80.04% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 57 | | wordCount | 1215 | | uniqueNames | 17 | | maxNameDensity | 1.4 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Camden | 1 | | Town | 1 | | Tube | 1 | | Quinn | 17 | | Kowalski | 1 | | Eva | 14 | | Detective | 2 | | Morris | 2 | | Veil | 2 | | Market | 4 | | Metropolitan | 1 | | Police | 1 | | Northern | 1 | | Line | 1 | | Harlow | 2 | | Department | 1 | | You | 5 |
| | persons | | 0 | "Quinn" | | 1 | "Kowalski" | | 2 | "Eva" | | 3 | "Morris" | | 4 | "Market" | | 5 | "Police" | | 6 | "Harlow" | | 7 | "Department" | | 8 | "You" |
| | places | | 0 | "Camden" | | 1 | "Town" | | 2 | "Tube" | | 3 | "Northern" |
| | globalScore | 0.8 | | windowScore | 0.833 | |
| 59.64% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 83 | | glossingSentenceCount | 3 | | matches | | 0 | "looked like a flicker of flame in the aby" | | 1 | "residue that seemed to be vibrating, a low-frequency hum that set Quinn’s teeth on edge" | | 2 | "felt like a lead" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.823 | | wordCount | 1215 | | matches | | 0 | "not out of fear, but out of a habit forged in eighteen years on the force" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 92 | | matches | | |
| 48.08% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 25 | | mean | 48.6 | | std | 15.47 | | cv | 0.318 | | sampleLengths | | 0 | 74 | | 1 | 43 | | 2 | 62 | | 3 | 46 | | 4 | 50 | | 5 | 46 | | 6 | 60 | | 7 | 29 | | 8 | 39 | | 9 | 53 | | 10 | 47 | | 11 | 79 | | 12 | 15 | | 13 | 29 | | 14 | 51 | | 15 | 53 | | 16 | 58 | | 17 | 27 | | 18 | 50 | | 19 | 54 | | 20 | 44 | | 21 | 35 | | 22 | 45 | | 23 | 83 | | 24 | 43 |
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| 97.64% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 92 | | matches | | 0 | "was cropped" | | 1 | "been scorched" |
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| 6.76% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 6 | | totalVerbs | 207 | | matches | | 0 | "was clutching" | | 1 | "were seeing" | | 2 | "was looking" | | 3 | "was losing" | | 4 | "was following" | | 5 | "was pulling" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 3 | | flaggedSentences | 7 | | totalSentences | 92 | | ratio | 0.076 | | matches | | 0 | "The air here didn’t smell like stagnant underground air; it smelled of ozone, burnt sage, and the metallic tang of something that had bled out on the concrete floor." | | 1 | "The body—if it could be called that—lay in the center of an elaborate chalk circle." | | 2 | "She didn't look at the girl; she looked at the walls, at the strange, shimmering condensation coating the tunnel tiles." | | 3 | "There was no blood, no struggle, and the chalk lines weren't drawn with stone or pigment; they looked as though the floor itself had been scorched to reveal a different reality beneath." | | 4 | "She felt the ghost of a ghost—the unexplained weight of that missing file—pressing against the back of her mind." | | 5 | "On the soot-stained tiles, invisible to anyone not looking for the slight disturbance in the dust, were a series of claw marks—too precise for an animal, too rhythmic for a bored vandal." | | 6 | "The compass was pulling her forward, and for the first time in years, the dead air behind her didn't feel like a memory—it felt like a lead." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1230 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 31 | | adverbRatio | 0.025203252032520326 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.008130081300813009 | |
| 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 | 13.21 | | std | 6.91 | | cv | 0.523 | | sampleLengths | | 0 | 26 | | 1 | 19 | | 2 | 29 | | 3 | 23 | | 4 | 20 | | 5 | 13 | | 6 | 25 | | 7 | 24 | | 8 | 10 | | 9 | 15 | | 10 | 21 | | 11 | 13 | | 12 | 17 | | 13 | 20 | | 14 | 10 | | 15 | 12 | | 16 | 15 | | 17 | 9 | | 18 | 17 | | 19 | 7 | | 20 | 4 | | 21 | 32 | | 22 | 15 | | 23 | 7 | | 24 | 7 | | 25 | 13 | | 26 | 14 | | 27 | 12 | | 28 | 6 | | 29 | 14 | | 30 | 7 | | 31 | 7 | | 32 | 19 | | 33 | 13 | | 34 | 10 | | 35 | 8 | | 36 | 4 | | 37 | 5 | | 38 | 7 | | 39 | 10 | | 40 | 18 | | 41 | 21 | | 42 | 11 | | 43 | 19 | | 44 | 15 | | 45 | 4 | | 46 | 9 | | 47 | 16 | | 48 | 15 | | 49 | 11 |
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| 36.96% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.2826086956521739 | | totalSentences | 92 | | uniqueOpeners | 26 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 92 | | matches | (empty) | | ratio | 0 | |
| 20.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 46 | | totalSentences | 92 | | matches | | 0 | "She kept her hand near" | | 1 | "Her curly red hair looked" | | 2 | "It was a mess of" | | 3 | "You shouldn't have called me," | | 4 | "Her salt-and-pepper hair was cropped" | | 5 | "She didn't look at the" | | 6 | "I didn't know who else" | | 7 | "They’ll sweep the residue away" | | 8 | "She walked the perimeter of" | | 9 | "They aren't radiating out from" | | 10 | "They’re folding inward, like a" | | 11 | "She produced a metal probe" | | 12 | "She felt the ghost of" | | 13 | "It’s the Veil Market, Detective," | | 14 | "it didn't use a door." | | 15 | "It forced the tunnel to" | | 16 | "She pulled a small brass" | | 17 | "It spun in mad, jerky" | | 18 | "You've been doing research on" | | 19 | "You told me the archive" |
| | ratio | 0.5 | |
| 14.35% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 82 | | totalSentences | 92 | | matches | | 0 | "The rusted iron gate of" | | 1 | "Harlow Quinn stepped over the" | | 2 | "The air here didn’t smell" | | 3 | "She kept her hand near" | | 4 | "The beam of her flashlight" | | 5 | "Eva Kowalski was already there," | | 6 | "Her curly red hair looked" | | 7 | "Quinn stopped, her eyes tracking" | | 8 | "The body—if it could be" | | 9 | "It was a mess of" | | 10 | "You shouldn't have called me," | | 11 | "Her salt-and-pepper hair was cropped" | | 12 | "She didn't look at the" | | 13 | "Eva’s gaze flickered to the" | | 14 | "I didn't know who else" | | 15 | "The official patrol report is" | | 16 | "They’ll sweep the residue away" | | 17 | "Quinn shifted her weight, the" | | 18 | "She walked the perimeter of" | | 19 | "The evidence defied physics." |
| | ratio | 0.891 | |
| 54.35% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 92 | | matches | | 0 | "If the law won't recognize" |
| | ratio | 0.011 | |
| 96.77% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 62 | | technicalSentenceCount | 4 | | matches | | 0 | "The rusted iron gate of the disused Camden Town Tube station groaned, a long, shivering sound that died into the oppressive silence of the subterranean tunnels." | | 1 | "The air here didn’t smell like stagnant underground air; it smelled of ozone, burnt sage, and the metallic tang of something that had bled out on the concrete f…" | | 2 | "It was a mess of charcoal-colored residue that seemed to be vibrating, a low-frequency hum that set Quinn’s teeth on edge." | | 3 | "Her stride was measured, rhythmic, the boots striking the concrete with the authority of a woman who had finally found the thread she intended to pull until the…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |