| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 1 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 78.05% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1139 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "very" | | 1 | "suddenly" | | 2 | "utterly" | | 3 | "truly" |
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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) | |
| 7.81% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1139 | | totalAiIsms | 21 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | word | "the last thing" | | count | 1 |
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| | highlights | | 0 | "silence" | | 1 | "chill" | | 2 | "wavering" | | 3 | "rhythmic" | | 4 | "warmth" | | 5 | "pulse" | | 6 | "echoed" | | 7 | "stark" | | 8 | "beacon" | | 9 | "spectral" | | 10 | "gloom" | | 11 | "vibrated" | | 12 | "symphony" | | 13 | "could feel" | | 14 | "weight" | | 15 | "the last thing" |
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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 | 97 | | matches | (empty) | |
| 54.49% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 6 | | narrationSentences | 97 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 97 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 35 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 7 | | totalWords | 1139 | | ratio | 0.006 | | matches | | 0 | "Not yours… little thief… give it back…" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 1 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 15 | | wordCount | 1137 | | uniqueNames | 8 | | maxNameDensity | 0.44 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Grove" | | discoveredNames | | Richmond | 1 | | Park | 1 | | Carter | 1 | | Silas | 1 | | Grove | 3 | | Eva | 1 | | Heartstone | 2 | | Rory | 5 |
| | persons | | 0 | "Carter" | | 1 | "Silas" | | 2 | "Eva" | | 3 | "Rory" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 80.56% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 72 | | glossingSentenceCount | 2 | | matches | | 0 | "glyphs that seemed to drink the light from her flashlight" | | 1 | "whispers that seemed to slither directly into her ears" |
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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 | 1139 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 97 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 1 | | mean | 0 | | std | 0 | | cv | 0 | | sampleLengths | | |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 97 | | matches | (empty) | |
| 48.48% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 176 | | matches | | 0 | "was leading" | | 1 | "was standing" | | 2 | "was currently burning" | | 3 | "was glowing" |
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| 83.95% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 2 | | flaggedSentences | 2 | | totalSentences | 97 | | ratio | 0.021 | | matches | | 0 | "It wasn't just the absence of joggers and screaming children; the very quality of the silence changed, thickening into something heavy and watchful." | | 1 | "It wasn't a shadow; it was a thing made of shadow, a patch of deeper darkness that coalesced and rose, taking on a vaguely humanoid shape." |
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| 95.05% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1139 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 52 | | adverbRatio | 0.0456540825285338 | | lyAdverbCount | 17 | | lyAdverbRatio | 0.014925373134328358 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 97 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 97 | | mean | 11.74 | | std | 7.68 | | cv | 0.654 | | sampleLengths | | 0 | 9 | | 1 | 23 | | 2 | 25 | | 3 | 23 | | 4 | 6 | | 5 | 8 | | 6 | 2 | | 7 | 35 | | 8 | 14 | | 9 | 5 | | 10 | 6 | | 11 | 18 | | 12 | 22 | | 13 | 21 | | 14 | 8 | | 15 | 28 | | 16 | 5 | | 17 | 2 | | 18 | 2 | | 19 | 8 | | 20 | 20 | | 21 | 1 | | 22 | 12 | | 23 | 26 | | 24 | 4 | | 25 | 2 | | 26 | 12 | | 27 | 11 | | 28 | 8 | | 29 | 6 | | 30 | 3 | | 31 | 10 | | 32 | 4 | | 33 | 2 | | 34 | 2 | | 35 | 6 | | 36 | 26 | | 37 | 5 | | 38 | 5 | | 39 | 18 | | 40 | 7 | | 41 | 11 | | 42 | 14 | | 43 | 7 | | 44 | 5 | | 45 | 26 | | 46 | 6 | | 47 | 5 | | 48 | 15 | | 49 | 19 |
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| 39.18% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.30927835051546393 | | totalSentences | 97 | | uniqueOpeners | 30 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 86 | | matches | | 0 | "Somewhere she didn't want to" | | 1 | "Of course, there was no" | | 2 | "Then, her eyes began to" | | 3 | "Then, from the darkness behind" |
| | ratio | 0.047 | |
| 66.51% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 33 | | totalSentences | 86 | | matches | | 0 | "It wasn't just the absence" | | 1 | "She was here for a" | | 2 | "It had started as a" | | 3 | "It was leading her somewhere." | | 4 | "Her thumb brushed against the" | | 5 | "It had saved her life" | | 6 | "She passed the first of" | | 7 | "It was an oak, or" | | 8 | "She stepped past it, and" | | 9 | "Her light swept over a" | | 10 | "She checked her phone." | | 11 | "She was standing in a" | | 12 | "Her friend was in trouble," | | 13 | "It wasn't the wind, though" | | 14 | "It was a soft, melodic" | | 15 | "It was beautiful, and it" | | 16 | "It vibrated through the soles" | | 17 | "She took a step back," | | 18 | "She was not alone." | | 19 | "They formed a tight, impenetrable" |
| | ratio | 0.384 | |
| 23.95% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 75 | | totalSentences | 86 | | matches | | 0 | "The air in Richmond Park" | | 1 | "It wasn't just the absence" | | 2 | "Aurora Carter pulled her jacket" | | 3 | "The beam of her phone’s" | | 4 | "She was here for a" | | 5 | "A stupid, impulsive reason, but" | | 6 | "It had started as a" | | 7 | "It was leading her somewhere." | | 8 | "Her thumb brushed against the" | | 9 | "The pendant was a gift" | | 10 | "It had saved her life" | | 11 | "She passed the first of" | | 12 | "It was an oak, or" | | 13 | "The codex had mentioned them." | | 14 | "She stepped past it, and" | | 15 | "The scent of damp earth" | | 16 | "Wildflowers blooming in the dead" | | 17 | "Her light swept over a" | | 18 | "This was the Grove." | | 19 | "The name echoed in her" |
| | ratio | 0.872 | |
| 58.14% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 86 | | matches | | | ratio | 0.012 | |
| 21.56% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 53 | | technicalSentenceCount | 9 | | matches | | 0 | "Aurora Carter pulled her jacket tighter, the worn denim doing little to ward off a chill that felt less like temperature and more like presence." | | 1 | "It had started as a faint, rhythmic warmth against her skin an hour ago, a slow, insistent pulse that had drawn her from the stuffy flat above Silas’s bar and o…" | | 2 | "The pendant was a gift from an unknown benefactor, a thing of deep crimson stone that glowed with its own faint light." | | 3 | "It was an oak, or what had once been an oak, now petrified and carved with swirling, indecipherable glyphs that seemed to drink the light from her flashlight." | | 4 | "Her light swept over a carpet of them, impossibly vibrant blues and purples and whites, their petals spread open to a sky that held no sun." | | 5 | "She was standing in a pocket between worlds, a place that shouldn't exist, chasing a magical artifact that was currently burning a hole in her shirt." | | 6 | "It had no features, no face, but Rory could feel its attention on her, a cold, probing weight that made the hairs on her arms stand on end." | | 7 | "The hissing sound grew louder, a chorus of malevolent whispers that seemed to slither directly into her ears." | | 8 | "The whispers became a deafening shriek, and she felt cold, insubstantial hands close around her ankles, her wrists, pulling her down into the writhing, silent d…" |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 1 | | matches | | 0 | "she whispered, her voice a thin, reedy thing she barely recognized" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | 0 | "she whispered (whisper)" |
| | dialogueSentences | 1 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 1 | | effectiveRatio | 1 | |