| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 1 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 92.25% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1291 | | totalAiIsmAdverbs | 2 | | 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) | |
| 22.54% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1291 | | totalAiIsms | 20 | | found | | | highlights | | 0 | "silence" | | 1 | "flickered" | | 2 | "pulsed" | | 3 | "warmth" | | 4 | "throb" | | 5 | "pulse" | | 6 | "shimmered" | | 7 | "whisper" | | 8 | "weight" | | 9 | "glistening" | | 10 | "footsteps" | | 11 | "trembled" |
| |
| 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 | 260 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 260 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 260 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 28 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 14 | | markdownWords | 24 | | totalWords | 1269 | | ratio | 0.019 | | matches | | 0 | "the" | | 1 | "appeared" | | 2 | "intent" | | 3 | "Alert" | | 4 | "Inside her head." | | 5 | "You are not welcome." | | 6 | "Unfolding." | | 7 | "Over" | | 8 | "positioning." | | 9 | "teeth." | | 10 | "You opened it." | | 11 | "You called us." | | 12 | "You" | | 13 | "the key." |
| |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 20 | | wordCount | 1248 | | uniqueNames | 10 | | maxNameDensity | 0.32 | | worstName | "Rory" | | maxWindowNameDensity | 1 | | worstWindowName | "Grove" | | discoveredNames | | Richmond | 1 | | Park | 1 | | Aurora | 1 | | Grove | 3 | | Fae | 1 | | Rory | 4 | | Massive | 1 | | God | 1 | | Like | 4 | | Cold | 3 |
| | persons | | 0 | "Aurora" | | 1 | "Rory" | | 2 | "Massive" | | 3 | "Like" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Grove" | | 3 | "Fae" |
| | globalScore | 1 | | windowScore | 1 | |
| 83.33% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 75 | | glossingSentenceCount | 2 | | matches | | 0 | "felt like pushing through a curtain of" | | 1 | "looked like frozen lightning" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.788 | | wordCount | 1269 | | matches | | 0 | "not wet but brittle, like it hadn’t seen rain in weeks" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 260 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 110 | | mean | 11.54 | | std | 12.2 | | cv | 1.058 | | sampleLengths | | 0 | 35 | | 1 | 15 | | 2 | 46 | | 3 | 6 | | 4 | 58 | | 5 | 22 | | 6 | 42 | | 7 | 5 | | 8 | 56 | | 9 | 14 | | 10 | 1 | | 11 | 29 | | 12 | 26 | | 13 | 39 | | 14 | 2 | | 15 | 39 | | 16 | 3 | | 17 | 4 | | 18 | 43 | | 19 | 1 | | 20 | 1 | | 21 | 12 | | 22 | 29 | | 23 | 19 | | 24 | 11 | | 25 | 3 | | 26 | 5 | | 27 | 3 | | 28 | 32 | | 29 | 6 | | 30 | 8 | | 31 | 2 | | 32 | 7 | | 33 | 2 | | 34 | 13 | | 35 | 2 | | 36 | 3 | | 37 | 12 | | 38 | 3 | | 39 | 2 | | 40 | 25 | | 41 | 3 | | 42 | 5 | | 43 | 16 | | 44 | 6 | | 45 | 3 | | 46 | 32 | | 47 | 8 | | 48 | 9 | | 49 | 3 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 260 | | matches | (empty) | |
| 78.79% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 220 | | matches | | 0 | "was looking" | | 1 | "was playing" | | 2 | "weren’t circling" | | 3 | "were *positioning" |
| |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 24 | | semicolonCount | 0 | | flaggedSentences | 21 | | totalSentences | 260 | | ratio | 0.081 | | matches | | 0 | "Not just any clearing—*the* Grove." | | 1 | "She’d pulled it out from under her shirt—crimson stone glowing faintly in the dark of her bedroom." | | 2 | "Yet wildflowers—a splash of bluebells and something white and star-shaped—clung to life between the roots." | | 3 | "The air smelled wrong—sweet, yes, from the flowers, but underneath, something stale." | | 4 | "Not fog—nothing visible—but her next step felt like pushing through a curtain of cold oil." | | 5 | "Carvings covered their surfaces—runic, shifting." | | 6 | "Then—a sound." | | 7 | "It was from knowing—deep in the marrow—that something was playing." | | 8 | "The pendant flared—hot enough she nearly dropped it." | | 9 | "The stars inverted—black dots on white." | | 10 | "Another shape moved—this time between the stones." | | 11 | "She backed up—another step." | | 12 | "Then—movement to her left." | | 13 | "The pendant flared once—bright, then dim." | | 14 | "It was tongue—wrinkled, warm, pulsing." | | 15 | "And the shapes—no longer shadows." | | 16 | "But the smell—oh God, the smell—was worse." | | 17 | "Behind her—no footsteps." | | 18 | "That same resistance—like pushing through liquid glass." | | 19 | "Last order timestamp—2:47 p.m." | | 20 | "But in the center of the crimson stone—something shifted." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 85 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 2 | | adverbRatio | 0.023529411764705882 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 260 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 260 | | mean | 4.88 | | std | 4.05 | | cv | 0.83 | | sampleLengths | | 0 | 13 | | 1 | 12 | | 2 | 10 | | 3 | 4 | | 4 | 2 | | 5 | 5 | | 6 | 3 | | 7 | 1 | | 8 | 6 | | 9 | 16 | | 10 | 7 | | 11 | 4 | | 12 | 3 | | 13 | 10 | | 14 | 6 | | 15 | 5 | | 16 | 3 | | 17 | 22 | | 18 | 28 | | 19 | 6 | | 20 | 4 | | 21 | 4 | | 22 | 8 | | 23 | 13 | | 24 | 17 | | 25 | 2 | | 26 | 10 | | 27 | 5 | | 28 | 4 | | 29 | 18 | | 30 | 5 | | 31 | 14 | | 32 | 15 | | 33 | 4 | | 34 | 8 | | 35 | 2 | | 36 | 1 | | 37 | 12 | | 38 | 12 | | 39 | 5 | | 40 | 5 | | 41 | 10 | | 42 | 6 | | 43 | 4 | | 44 | 1 | | 45 | 9 | | 46 | 20 | | 47 | 2 | | 48 | 8 | | 49 | 2 |
| |
| 56.41% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 15 | | diversityRatio | 0.3730769230769231 | | totalSentences | 260 | | uniqueOpeners | 97 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 9 | | totalSentences | 181 | | matches | | 0 | "Just the brittle crunch of" | | 1 | "Just enough to stain the" | | 2 | "Just trees, their bark dark" | | 3 | "Then three more in a" | | 4 | "Just the spiral." | | 5 | "Only she wasn’t the cat." | | 6 | "Then—movement to her left." | | 7 | "Just a whisper on the" | | 8 | "Just smooth, dark sockets." |
| | ratio | 0.05 | |
| 91.82% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 58 | | totalSentences | 181 | | matches | | 0 | "She checked her phone." | | 1 | "She tapped it." | | 2 | "She was looking for the" | | 3 | "he’d said, fingers tapping the" | | 4 | "She hadn’t gone alone in" | | 5 | "She’d pulled it out from" | | 6 | "She stepped off the path." | | 7 | "She passed a thicket." | | 8 | "She checked the pendant again." | | 9 | "Her wrist scar ached, a" | | 10 | "She stepped through." | | 11 | "It shimmered, like heat rising" | | 12 | "She took two steps." | | 13 | "Her boot scuffed something soft." | | 14 | "She looked down." | | 15 | "It hadn’t died here." | | 16 | "It had *appeared* here." | | 17 | "She walked deeper." | | 18 | "She looked at one, and" | | 19 | "She gripped it." |
| | ratio | 0.32 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 116 | | totalSentences | 181 | | matches | | 0 | "The path into Richmond Park" | | 1 | "The next, silence so deep" | | 2 | "She checked her phone." | | 3 | "The screen dimmed, flickered, died." | | 4 | "She tapped it." | | 5 | "Rory exhaled, slow, through her" | | 6 | "Breath misting in the air" | | 7 | "The trees around her stood" | | 8 | "She was looking for the" | | 9 | "The Fae Grove." | | 10 | "Silas had muttered about it" | | 11 | "he’d said, fingers tapping the" | | 12 | "She hadn’t gone alone in" | | 13 | "Eva would’ve throttled her." | | 14 | "Warmth against her collarbone, sudden" | | 15 | "She’d pulled it out from" | | 16 | "Hood up, gloves tucked into" | | 17 | "She stepped off the path." | | 18 | "Grass crunched underfoot, not wet" | | 19 | "She passed a thicket." |
| | ratio | 0.641 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 4 | | totalSentences | 181 | | matches | | 0 | "Because two nights ago, the" | | 1 | "Because she hadn’t stepped on" | | 2 | "As if weight meant nothing." | | 3 | "As if waiting to speak." |
| | ratio | 0.022 | |
| 93.60% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 29 | | technicalSentenceCount | 2 | | matches | | 0 | "First one, half-buried in ivy, oak bark fused to its surface as if it had grown from the rock itself." | | 1 | "Smooth, black, veined with something that looked like frozen lightning." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 1 | | matches | | 0 | "he’d, fingers tapping the rim of his glass," |
| |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 1 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 1 | | effectiveRatio | 1 | |