| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 3 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 86.19% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1086 | | totalAiIsmAdverbs | 3 | | 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) | |
| 44.75% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1086 | | totalAiIsms | 12 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | word | "the last thing" | | count | 1 |
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| | highlights | | 0 | "throbbed" | | 1 | "scanning" | | 2 | "scanned" | | 3 | "pulse" | | 4 | "quickened" | | 5 | "warmth" | | 6 | "familiar" | | 7 | "etched" | | 8 | "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 | 59 | | matches | (empty) | |
| 70.22% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 59 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 62 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 32 | | 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 | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 31 | | wordCount | 974 | | uniqueNames | 15 | | maxNameDensity | 0.62 | | worstName | "Don" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Don" | | discoveredNames | | Golden | 1 | | Empress | 1 | | Leave | 1 | | Richmond | 2 | | Pre-law | 1 | | Park | 1 | | Evan | 3 | | Don | 6 | | Heartstone | 5 | | Grove | 1 | | Eva | 2 | | Welsh | 2 | | Rory | 3 | | Cardiff | 1 | | London | 1 |
| | persons | | 0 | "Evan" | | 1 | "Heartstone" | | 2 | "Grove" | | 3 | "Eva" | | 4 | "Rory" |
| | places | | 0 | "Golden" | | 1 | "Leave" | | 2 | "Richmond" | | 3 | "Park" | | 4 | "Cardiff" | | 5 | "London" |
| | globalScore | 1 | | windowScore | 1 | |
| 57.41% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 54 | | glossingSentenceCount | 2 | | matches | | 0 | "ones that seemed to pulse in time with the pendant" | | 1 | "felt like an hour" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.933 | | wordCount | 1072 | | matches | | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 62 | | matches | (empty) | |
| 73.54% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 12 | | mean | 89.33 | | std | 36.39 | | cv | 0.407 | | sampleLengths | | 0 | 40 | | 1 | 124 | | 2 | 88 | | 3 | 88 | | 4 | 112 | | 5 | 97 | | 6 | 132 | | 7 | 95 | | 8 | 81 | | 9 | 63 | | 10 | 10 | | 11 | 142 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 59 | | matches | (empty) | |
| 82.35% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 170 | | matches | | 0 | "was warning was watching" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 12 | | semicolonCount | 3 | | flaggedSentences | 14 | | totalSentences | 62 | | ratio | 0.226 | | matches | | 0 | "She’d taken the late delivery from Golden Empress after a customer scrawled a note on the order slip—Leave the pork dumplings at the oak boundary of Richmond’s hidden grove." | | 1 | "Copper stung her nostrils for a split second before it faded—old blood, not recent." | | 2 | "Her phone buzzed once in her pocket, then went silent; she pulled it out to find no signal, no missed calls." | | 3 | "No child belonged in the park at this hour—even the night joggers had cleared out an hour prior." | | 4 | "She scanned the trees, her boots crunching on dry grass that mixed with the wildflowers’ soft stems, but saw only the sway of leaves that shouldn’t have moved; the air was still." | | 5 | "The clearing stretched before her, a patch of wildflowers so vibrant they hurt her eyes—purple blooms that glowed faintly, yellow ones that seemed to pulse in time with the pendant." | | 6 | "She checked her watch—five minutes had passed since she’d pulled her phone out, but it felt like an hour." | | 7 | "He couldn’t be here; she’d changed her number, moved to London, told no one but Eva where she’d gone." | | 8 | "She rubbed it, her fingers trembling a little—cool-headed Rory, trembling." | | 9 | "The voices started again, overlapping now—Evan’s plea, her mother’s Welsh lullaby, a stranger’s demand for dumplings." | | 10 | "The Heartstone’s glow flared bright, and she realized it wasn’t pulsing for her benefit—it was warning something else, something in the clearing that was watching her." | | 11 | "The cloying scent faded suddenly, replaced by the sharp smell of her own fear—sweat and panic, thick in her throat." | | 12 | "A figure stepped from behind the central oak stone—pale, tall, its face hidden by a curtain of black hair that matched hers." | | 13 | "The silver chain of a pendant glinted around its neck—an exact copy of her Heartstone, its crimson glow matching hers beat for beat." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 90 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 2 | | adverbRatio | 0.022222222222222223 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 62 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 62 | | mean | 17.29 | | std | 8.11 | | cv | 0.469 | | sampleLengths | | 0 | 13 | | 1 | 27 | | 2 | 29 | | 3 | 2 | | 4 | 6 | | 5 | 32 | | 6 | 25 | | 7 | 30 | | 8 | 14 | | 9 | 19 | | 10 | 21 | | 11 | 13 | | 12 | 7 | | 13 | 4 | | 14 | 10 | | 15 | 9 | | 16 | 18 | | 17 | 32 | | 18 | 29 | | 19 | 15 | | 20 | 19 | | 21 | 30 | | 22 | 17 | | 23 | 31 | | 24 | 19 | | 25 | 11 | | 26 | 2 | | 27 | 16 | | 28 | 19 | | 29 | 19 | | 30 | 11 | | 31 | 18 | | 32 | 10 | | 33 | 25 | | 34 | 21 | | 35 | 19 | | 36 | 19 | | 37 | 20 | | 38 | 14 | | 39 | 4 | | 40 | 7 | | 41 | 13 | | 42 | 16 | | 43 | 15 | | 44 | 26 | | 45 | 19 | | 46 | 13 | | 47 | 13 | | 48 | 16 | | 49 | 20 |
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| 30.65% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.27419354838709675 | | totalSentences | 62 | | uniqueOpeners | 17 | |
| 59.52% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 56 | | matches | | 0 | "Just don’t look in the" |
| | ratio | 0.018 | |
| 84.29% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 19 | | totalSentences | 56 | | matches | | 0 | "She’d taken the late delivery" | | 1 | "She’d laughed at first, figuring" | | 2 | "Her phone buzzed once in" | | 3 | "She’d broken all three before" | | 4 | "She scanned the trees, her" | | 5 | "She stepped forward, her delivery" | | 6 | "She’d never seen the Grove" | | 7 | "She checked her watch—five minutes" | | 8 | "It was Evan’s voice, the" | | 9 | "He couldn’t be here; she’d" | | 10 | "She rubbed it, her fingers" | | 11 | "She spotted movement at the" | | 12 | "She stepped back, her boot" | | 13 | "She mentally listed three new" | | 14 | "She’d already touched the wildflowers" | | 15 | "She clamped her hands over" | | 16 | "She yelped, yanking back, but" | | 17 | "It held one of the" | | 18 | "She opened her mouth to" |
| | ratio | 0.339 | |
| 22.50% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 49 | | totalSentences | 56 | | matches | | 0 | "Rory wrenched her delivery bag" | | 1 | "The fabric snagged on a" | | 2 | "She’d taken the late delivery" | | 3 | "She’d laughed at first, figuring" | | 4 | "Pre-law training had taught her" | | 5 | "The silver chain of the" | | 6 | "Copper stung her nostrils for" | | 7 | "The wildflowers that bloomed at" | | 8 | "Her phone buzzed once in" | | 9 | "She’d broken all three before" | | 10 | "A high, child’s giggle bounced" | | 11 | "She scanned the trees, her" | | 12 | "The Heartstone’s pulse quickened, its" | | 13 | "She stepped forward, her delivery" | | 14 | "The cloying scent amplified, and" | | 15 | "The clearing stretched before her," | | 16 | "The ancient oak standing stones" | | 17 | "She’d never seen the Grove" | | 18 | "She checked her watch—five minutes" | | 19 | "A voice brushed her ear," |
| | ratio | 0.875 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 56 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 46 | | technicalSentenceCount | 2 | | matches | | 0 | "The clearing stretched before her, a patch of wildflowers so vibrant they hurt her eyes—purple blooms that glowed faintly, yellow ones that seemed to pulse in t…" | | 1 | "She stepped back, her boot catching on a wildflower root, and stumbled, catching herself on the nearest stone’s trunk." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 1 | | matches | | 0 | "The last thing she saw, their splinters digging into her collarbone" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 3 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 1 | | effectiveRatio | 0.667 | |