| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 31 | | tagDensity | 0.323 | | leniency | 0.645 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.40% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1086 | | 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) | |
| 30.94% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1086 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "echo" | | 1 | "footsteps" | | 2 | "scanning" | | 3 | "familiar" | | 4 | "encounter" | | 5 | "flicked" | | 6 | "etched" | | 7 | "racing" | | 8 | "scanned" | | 9 | "vibrated" | | 10 | "pulse" | | 11 | "quickened" | | 12 | "echoed" | | 13 | "flickered" | | 14 | "glint" |
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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 | 84 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 84 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 104 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1072 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 11.66% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 42 | | wordCount | 759 | | uniqueNames | 6 | | maxNameDensity | 2.77 | | worstName | "Quinn" | | maxWindowNameDensity | 4 | | worstWindowName | "Quinn" | | discoveredNames | | Tube | 1 | | Camden | 1 | | Eva | 15 | | Kowalski | 1 | | Quinn | 21 | | Morris | 3 |
| | persons | | 0 | "Camden" | | 1 | "Eva" | | 2 | "Kowalski" | | 3 | "Quinn" | | 4 | "Morris" |
| | places | (empty) | | globalScore | 0.117 | | windowScore | 0.333 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 58 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.933 | | wordCount | 1072 | | matches | | 0 | "not north but toward a darkened alcove" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 104 | | matches | | |
| 83.96% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 40 | | mean | 26.8 | | std | 11.9 | | cv | 0.444 | | sampleLengths | | 0 | 30 | | 1 | 13 | | 2 | 52 | | 3 | 43 | | 4 | 56 | | 5 | 29 | | 6 | 26 | | 7 | 28 | | 8 | 24 | | 9 | 39 | | 10 | 27 | | 11 | 40 | | 12 | 6 | | 13 | 17 | | 14 | 40 | | 15 | 32 | | 16 | 26 | | 17 | 32 | | 18 | 42 | | 19 | 19 | | 20 | 24 | | 21 | 48 | | 22 | 12 | | 23 | 40 | | 24 | 11 | | 25 | 10 | | 26 | 20 | | 27 | 28 | | 28 | 29 | | 29 | 25 | | 30 | 28 | | 31 | 28 | | 32 | 15 | | 33 | 21 | | 34 | 29 | | 35 | 7 | | 36 | 22 | | 37 | 16 | | 38 | 24 | | 39 | 14 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 84 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 156 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 1 | | flaggedSentences | 8 | | totalSentences | 104 | | ratio | 0.077 | | matches | | 0 | "Eva Kowalski stepped from behind a stall draped in faded tapestries, her curly red hair tucked behind her left ear—a nervous tic Quinn remembered from their last encounter." | | 1 | "She pulled on gloves and lifted it—a compass, its face etched with protective sigils, casing patinated with verdigris." | | 2 | "Whispers rippled through the crowd—hooded figures bartering crystals that hummed, potions bubbling in unmarked jars." | | 3 | "At the chamber's centre, another body—no, a mannequin?" | | 4 | "\"I couldn't say. Restricted. But... Morris poked into Veil business. Rifts aren't just portals; they warp reality. Evidence vanishes, timelines shift.\"" | | 5 | "The needle steadied, pointing to a crack in the far wall—a fissure emitting faint, ethereal light." | | 6 | "A shadow moved within the light—tall, amorphous, with eyes that flickered like dying stars." | | 7 | "A worn leather watch, identical to hers—except this one bore Morris's engraving on the back." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 769 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 12 | | adverbRatio | 0.015604681404421327 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.0039011703511053317 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 104 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 104 | | mean | 10.31 | | std | 5.6 | | cv | 0.544 | | sampleLengths | | 0 | 15 | | 1 | 15 | | 2 | 4 | | 3 | 9 | | 4 | 14 | | 5 | 14 | | 6 | 24 | | 7 | 15 | | 8 | 8 | | 9 | 5 | | 10 | 3 | | 11 | 12 | | 12 | 6 | | 13 | 28 | | 14 | 13 | | 15 | 9 | | 16 | 7 | | 17 | 22 | | 18 | 8 | | 19 | 18 | | 20 | 11 | | 21 | 9 | | 22 | 8 | | 23 | 16 | | 24 | 8 | | 25 | 12 | | 26 | 2 | | 27 | 16 | | 28 | 9 | | 29 | 4 | | 30 | 23 | | 31 | 11 | | 32 | 18 | | 33 | 11 | | 34 | 6 | | 35 | 3 | | 36 | 14 | | 37 | 8 | | 38 | 17 | | 39 | 5 | | 40 | 10 | | 41 | 4 | | 42 | 15 | | 43 | 13 | | 44 | 7 | | 45 | 19 | | 46 | 11 | | 47 | 21 | | 48 | 5 | | 49 | 8 |
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| 74.04% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.46153846153846156 | | totalSentences | 104 | | uniqueOpeners | 48 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 79 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 11 | | totalSentences | 79 | | matches | | 0 | "She yanked free, cursing under" | | 1 | "She ignored the uniform's protest" | | 2 | "She nodded at the corpse" | | 3 | "She pulled on gloves and" | | 4 | "She scanned the stalls." | | 5 | "It twitched toward the alcove," | | 6 | "She moved, boots crunching over" | | 7 | "They emerged into a chamber" | | 8 | "She pried it free: a" | | 9 | "Her pulse quickened." | | 10 | "She'd buried that watch with" |
| | ratio | 0.139 | |
| 35.95% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 67 | | totalSentences | 79 | | matches | | 0 | "Quinn pushed through the rusted" | | 1 | "She yanked free, cursing under" | | 2 | "Footsteps hurried behind her." | | 3 | "She ignored the uniform's protest" | | 4 | "The air thickened with incense" | | 5 | "This abandoned Tube station beneath" | | 6 | "A body lay sprawled in" | | 7 | "Quinn knelt, her brown eyes" | | 8 | "Blood pooled in neat patterns," | | 9 | "a familiar voice cut in" | | 10 | "Eva Kowalski stepped from behind" | | 11 | "Eva clutched a worn leather" | | 12 | "Quinn straightened, military precision in" | | 13 | "Eva glanced at the body," | | 14 | "Quinn's gaze flicked to the" | | 15 | "Entry requirement, she'd learned from" | | 16 | "She nodded at the corpse" | | 17 | "Eva pointed to empty shelves" | | 18 | "Quinn circled the body, noting" | | 19 | "The man's hands clutched nothing," |
| | ratio | 0.848 | |
| 63.29% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 79 | | matches | | 0 | "If this was supernatural, bullets" |
| | ratio | 0.013 | |
| 77.92% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 33 | | technicalSentenceCount | 3 | | matches | | 0 | "Whispers rippled through the crowd—hooded figures bartering crystals that hummed, potions bubbling in unmarked jars." | | 1 | "She moved, boots crunching over scattered herbs that smelled of damp earth and decay." | | 2 | "A shadow moved within the light—tall, amorphous, with eyes that flickered like dying stars." |
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| 25.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 2 | | matches | | 0 | "Quinn said, voice low" | | 1 | "Quinn pressed on, the air growing colder, heavier" |
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| 85.48% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 2 | | fancyTags | | 0 | "Quinn pressed on (press on)" | | 1 | "Eva whispered (whisper)" |
| | dialogueSentences | 31 | | tagDensity | 0.129 | | leniency | 0.258 | | rawRatio | 0.5 | | effectiveRatio | 0.129 | |