| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 1 | | adverbTags | | 0 | "she said aloud [aloud]" |
| | dialogueSentences | 4 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 1 | | effectiveRatio | 0.5 | |
| 92.11% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1268 | | totalAiIsmAdverbs | 2 | | found | | 0 | | | 1 | | adverb | "deliberately" | | count | 1 |
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| | highlights | | 0 | "perfectly" | | 1 | "deliberately" |
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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) | |
| 48.74% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1268 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "pulse" | | 1 | "chill" | | 2 | "unsettled" | | 3 | "silence" | | 4 | "weight" | | 5 | "measured" | | 6 | "pulsed" | | 7 | "whisper" | | 8 | "porcelain" | | 9 | "pumping" |
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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 | 87 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 87 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 90 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 56 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1268 | | ratio | 0 | | matches | (empty) | |
| 89.29% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 1 | | matches | | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 24 | | wordCount | 1258 | | uniqueNames | 11 | | maxNameDensity | 0.56 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Silas" | | discoveredNames | | Rory | 7 | | Camden | 1 | | Heartstone | 3 | | London | 1 | | Park | 2 | | November | 1 | | English | 1 | | Silas | 4 | | Richmond | 2 | | Eva | 1 | | Evan | 1 |
| | persons | | 0 | "Rory" | | 1 | "November" | | 2 | "Silas" | | 3 | "Eva" | | 4 | "Evan" |
| | places | | 0 | "London" | | 1 | "Park" | | 2 | "Richmond" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 62 | | glossingSentenceCount | 1 | | matches | | 0 | "as if responding to her words" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.789 | | wordCount | 1268 | | matches | | 0 | "Not the absence of noise, but a presence, heavy" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 90 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 33 | | mean | 38.42 | | std | 27.22 | | cv | 0.708 | | sampleLengths | | 0 | 58 | | 1 | 85 | | 2 | 24 | | 3 | 63 | | 4 | 57 | | 5 | 61 | | 6 | 71 | | 7 | 16 | | 8 | 9 | | 9 | 66 | | 10 | 1 | | 11 | 9 | | 12 | 50 | | 13 | 42 | | 14 | 18 | | 15 | 57 | | 16 | 62 | | 17 | 15 | | 18 | 56 | | 19 | 57 | | 20 | 38 | | 21 | 2 | | 22 | 68 | | 23 | 6 | | 24 | 97 | | 25 | 9 | | 26 | 48 | | 27 | 1 | | 28 | 26 | | 29 | 35 | | 30 | 56 | | 31 | 2 | | 32 | 3 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 87 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 204 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 90 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1262 | | adjectiveStacks | 1 | | stackExamples | | 0 | "Pale, slack-jawed faces" |
| | adverbCount | 35 | | adverbRatio | 0.0277337559429477 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.003961965134706815 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 90 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 90 | | mean | 14.09 | | std | 11.52 | | cv | 0.818 | | sampleLengths | | 0 | 22 | | 1 | 36 | | 2 | 21 | | 3 | 18 | | 4 | 19 | | 5 | 14 | | 6 | 2 | | 7 | 2 | | 8 | 9 | | 9 | 24 | | 10 | 6 | | 11 | 21 | | 12 | 9 | | 13 | 15 | | 14 | 3 | | 15 | 5 | | 16 | 2 | | 17 | 2 | | 18 | 5 | | 19 | 2 | | 20 | 40 | | 21 | 10 | | 22 | 14 | | 23 | 12 | | 24 | 16 | | 25 | 12 | | 26 | 7 | | 27 | 10 | | 28 | 4 | | 29 | 33 | | 30 | 24 | | 31 | 5 | | 32 | 11 | | 33 | 9 | | 34 | 24 | | 35 | 1 | | 36 | 14 | | 37 | 8 | | 38 | 19 | | 39 | 1 | | 40 | 9 | | 41 | 5 | | 42 | 17 | | 43 | 5 | | 44 | 23 | | 45 | 3 | | 46 | 3 | | 47 | 36 | | 48 | 15 | | 49 | 3 |
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| 46.67% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.3333333333333333 | | totalSentences | 90 | | uniqueOpeners | 30 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 77 | | matches | (empty) | | ratio | 0 | |
| 84.94% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 26 | | totalSentences | 77 | | matches | | 0 | "She pressed her palm flat" | | 1 | "She counted them without meaning" | | 2 | "She stepped between two of" | | 3 | "It had texture, too, grain" | | 4 | "She pulled out her phone." | | 5 | "She shoved the thought down" | | 6 | "She had come here because" | | 7 | "He'd wiped down the bar" | | 8 | "She understood what it meant" | | 9 | "She turned fast, her trainers" | | 10 | "She held her breath and" | | 11 | "Her heel struck something hard" | | 12 | "She didn't scream." | | 13 | "She didn't run." | | 14 | "She stood there with her" | | 15 | "she said aloud, and her" | | 16 | "She pulled her foot free" | | 17 | "She yanked the chain over" | | 18 | "It glowed, a faint inner" | | 19 | "They grew from faces." |
| | ratio | 0.338 | |
| 44.42% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 64 | | totalSentences | 77 | | matches | | 0 | "The pendant burned against Rory's" | | 1 | "She pressed her palm flat" | | 2 | "Richmond Park stretched around her" | | 3 | "The standing stones rose ahead," | | 4 | "Wildflowers pushed up between them" | | 5 | "She counted them without meaning" | | 6 | "The geometry unsettled her more" | | 7 | "She stepped between two of" | | 8 | "Rory stood perfectly still and" | | 9 | "It had texture, too, grain" | | 10 | "A metronome pulse." | | 11 | "She pulled out her phone." | | 12 | "The screen's glow painted her" | | 13 | "She shoved the thought down" | | 14 | "The clearing opened before her," | | 15 | "Grass, impossibly green under the" | | 16 | "Wildflowers blanketed the ground in" | | 17 | "Cream, violet, a deep red" | | 18 | "The Heartstone pulsed harder against" | | 19 | "She had come here because" |
| | ratio | 0.831 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 77 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 47 | | technicalSentenceCount | 11 | | matches | | 0 | "She pressed her palm flat against the Heartstone through her shirt and felt it pulse, steady as a second heartbeat, and she knew she was standing on the thresho…" | | 1 | "Richmond Park stretched around her in darkness, but the darkness had texture here, layers that shifted when she turned her head." | | 2 | "Not the absence of noise, but a presence, heavy and deliberate, as if something had decided to stop breathing around her." | | 3 | "The screen's glow painted her hands blue-white, and for a moment she was fourteen again, hiding in the upstairs bathroom with a bleeding wrist and her father's …" | | 4 | "Wind moved through the canopy above, stirring the leaves in a slow, rolling whisper that sounded almost like breathing." | | 5 | "The flowers nearest to her drooped, their petals folding inward one by one, as if responding to her words." | | 6 | "The pendant seared against her chest now, a sharp, insistent heat that made her suck air through her teeth." | | 7 | "Pale, slack-jawed faces pressed into the earth like flowers in a planter, their eyes open and unblinking, their mouths forming silent shapes that might have bee…" | | 8 | "She veered left, toward the trees, her arms pumping, the flowers exploding into seed pods that burst against her shins and filled the air with white motes that …" | | 9 | "The whispers behind her multiplied, dozens of voices murmuring in a language that curled around vowels and swallowed consonants, and the grass ahead of her bloo…" | | 10 | "It had Silas's face, but the eyes were wrong, too wide and too bright, and the mouth stretched into a smile that showed too many teeth arranged in rows that bel…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 4 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 0 | | effectiveRatio | 0 | |