| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 25 | | tagDensity | 0.32 | | leniency | 0.64 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 94.06% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 842 | | totalAiIsmAdverbs | 1 | | 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) | |
| 52.49% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 842 | | totalAiIsms | 8 | | found | | | highlights | | 0 | "wavering" | | 1 | "echoed" | | 2 | "pulse" | | 3 | "warmth" | | 4 | "chill" | | 5 | "etched" | | 6 | "shattered" | | 7 | "pulsed" |
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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 | 65 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 65 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 82 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 6 | | markdownWords | 6 | | totalWords | 837 | | ratio | 0.007 | | matches | | 0 | "wrong" | | 1 | "other" | | 2 | "Morris." | | 3 | "saw" | | 4 | "there" | | 5 | "doorway" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 37.39% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 29 | | wordCount | 666 | | uniqueNames | 7 | | maxNameDensity | 2.25 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | Quinn | 15 | | Camden | 1 | | Tube | 1 | | Three | 1 | | Davies | 9 | | Veil | 1 | | Market | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Davies" | | 2 | "Market" |
| | places | | | globalScore | 0.374 | | windowScore | 0.667 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 42 | | glossingSentenceCount | 3 | | matches | | 0 | "quite match the angles of the room" | | 1 | "tasted like ash" | | 2 | "smelled like wet earth and rotting meat" |
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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 | 837 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 82 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 29 | | mean | 28.86 | | std | 18.76 | | cv | 0.65 | | sampleLengths | | 0 | 61 | | 1 | 33 | | 2 | 63 | | 3 | 28 | | 4 | 28 | | 5 | 16 | | 6 | 55 | | 7 | 17 | | 8 | 23 | | 9 | 22 | | 10 | 57 | | 11 | 9 | | 12 | 16 | | 13 | 41 | | 14 | 9 | | 15 | 70 | | 16 | 19 | | 17 | 15 | | 18 | 33 | | 19 | 33 | | 20 | 21 | | 21 | 56 | | 22 | 22 | | 23 | 38 | | 24 | 10 | | 25 | 2 | | 26 | 27 | | 27 | 5 | | 28 | 8 |
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| 94.47% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 65 | | matches | | 0 | "was frozen" | | 1 | "been carved" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 113 | | matches | | |
| 3.48% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 82 | | ratio | 0.049 | | matches | | 0 | "The bone token burned cold against Quinn’s palm as she stepped through the rusted service door, the stench of damp concrete and something older—something *wrong*—hitting her like a physical blow." | | 1 | "A missing persons case that had spiraled into something else entirely—something that had left her partner dead and her faith in the natural order of things shattered." | | 2 | "At its center, a symbol had been carved into the concrete—a circle bisected by a jagged line, the edges still glowing faintly, as if lit from within." | | 3 | "A gust of wind howled through the tunnel, carrying with it the scent of ozone and something older—something that smelled like wet earth and rotting meat." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 158 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 5 | | adverbRatio | 0.03164556962025317 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 82 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 82 | | mean | 10.21 | | std | 7.37 | | cv | 0.722 | | sampleLengths | | 0 | 30 | | 1 | 31 | | 2 | 26 | | 3 | 7 | | 4 | 11 | | 5 | 12 | | 6 | 16 | | 7 | 24 | | 8 | 17 | | 9 | 2 | | 10 | 2 | | 11 | 7 | | 12 | 16 | | 13 | 12 | | 14 | 12 | | 15 | 4 | | 16 | 5 | | 17 | 14 | | 18 | 21 | | 19 | 15 | | 20 | 7 | | 21 | 10 | | 22 | 10 | | 23 | 10 | | 24 | 3 | | 25 | 14 | | 26 | 8 | | 27 | 10 | | 28 | 4 | | 29 | 27 | | 30 | 4 | | 31 | 3 | | 32 | 9 | | 33 | 9 | | 34 | 3 | | 35 | 3 | | 36 | 6 | | 37 | 4 | | 38 | 3 | | 39 | 12 | | 40 | 5 | | 41 | 5 | | 42 | 2 | | 43 | 14 | | 44 | 6 | | 45 | 3 | | 46 | 2 | | 47 | 23 | | 48 | 18 | | 49 | 27 |
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| 58.54% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.4024390243902439 | | totalSentences | 82 | | uniqueOpeners | 33 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 56 | | matches | | 0 | "Just the clammy chill of" | | 1 | "Instead, she reached into her" | | 2 | "Instead, she gestured to the" |
| | ratio | 0.054 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 11 | | totalSentences | 56 | | matches | | 0 | "She didn’t look up from" | | 1 | "His face was frozen in" | | 2 | "She’d buried the file." | | 3 | "She never did." | | 4 | "She pointed to the far" | | 5 | "She already knew." | | 6 | "They’d felt the wrongness of" | | 7 | "She stepped closer to the" | | 8 | "She’d been with Quinn long" | | 9 | "She’d kept it after her" | | 10 | "She tossed the token to" |
| | ratio | 0.196 | |
| 67.14% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 44 | | totalSentences | 56 | | matches | | 0 | "The bone token burned cold" | | 1 | "The abandoned Camden Tube station" | | 2 | "She didn’t look up from" | | 3 | "Quinn descended the stairs, her" | | 4 | "The victim lay sprawled across" | | 5 | "A man, mid-thirties, dressed in" | | 6 | "His face was frozen in" | | 7 | "Quinn crouched beside the body," | | 8 | "Davies finally glanced up, her" | | 9 | "Quinn exhaled through her nose," | | 10 | "Davies didn’t answer right away." | | 11 | "The needle spun wildly, then" | | 12 | "Quinn took the bag, turning" | | 13 | "The metal was cold, colder" | | 14 | "Davies hesitated, her jaw tightening" | | 15 | "The name hit Quinn like" | | 16 | "*Morris.* Three years ago." | | 17 | "A missing persons case that" | | 18 | "She’d buried the file." | | 19 | "Quinn said, but the word" |
| | ratio | 0.786 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 56 | | matches | (empty) | | ratio | 0 | |
| 10.58% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 27 | | technicalSentenceCount | 5 | | matches | | 0 | "The abandoned Camden Tube station yawned before her, its tiled walls slick with condensation, the flickering emergency lights casting long, wavering shadows tha…" | | 1 | "His face was frozen in an expression of sheer, unadulterated terror, mouth stretched wide as if he’d tried to scream himself into another dimension." | | 2 | "A missing persons case that had spiraled into something else entirely—something that had left her partner dead and her faith in the natural order of things shat…" | | 3 | "Something that made the hairs on the back of her neck stand on end." | | 4 | "A gust of wind howled through the tunnel, carrying with it the scent of ozone and something older—something that smelled like wet earth and rotting meat." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 3 | | matches | | 0 | "Quinn crouched, her gloved fingers hovering just above the man’s wrist" | | 1 | "Davies hesitated, her jaw tightening" | | 2 | "Quinn said, but the word tasted like ash" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 1 | | fancyTags | | 0 | "Quinn murmured (murmur)" |
| | dialogueSentences | 25 | | tagDensity | 0.16 | | leniency | 0.32 | | rawRatio | 0.25 | | effectiveRatio | 0.08 | |