| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 28 | | tagDensity | 0.107 | | leniency | 0.214 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.73% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1529 | | 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) | |
| 8.44% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1529 | | totalAiIsms | 28 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | |
| | highlights | | 0 | "pulsed" | | 1 | "vibrated" | | 2 | "whisper" | | 3 | "stomach" | | 4 | "echoed" | | 5 | "rhythmic" | | 6 | "stark" | | 7 | "oppressive" | | 8 | "warmth" | | 9 | "mosaic" | | 10 | "intricate" | | 11 | "shimmered" | | 12 | "searing" | | 13 | "footsteps" | | 14 | "glistening" | | 15 | "desire" | | 16 | "glinting" | | 17 | "disrupt" | | 18 | "flickered" | | 19 | "silence" | | 20 | "trembled" |
| |
| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 3 | | maxInWindow | 2 | | found | | 0 | | label | "blood ran cold" | | count | 1 |
| | 1 | | label | "eyes widened/narrowed" | | count | 1 |
| | 2 | | label | "air was thick with" | | count | 1 |
|
| | highlights | | 0 | "blood ran cold" | | 1 | "eyes narrowed" | | 2 | "The air was thick with" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 132 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 3 | | narrationSentences | 132 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 157 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 14 | | markdownWords | 14 | | totalWords | 1517 | | ratio | 0.009 | | matches | | 0 | "literal" | | 1 | "concept" | | 2 | "stomach" | | 3 | "altar" | | 4 | "feel" | | 5 | "desire" | | 6 | "gate" | | 7 | "moving" | | 8 | "digested" | | 9 | "screamed" | | 10 | "ripped" | | 11 | "summoning" | | 12 | "wanted" | | 13 | "thud" |
| |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 74.59% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 54 | | wordCount | 1326 | | uniqueNames | 10 | | maxNameDensity | 1.51 | | worstName | "Aurora" | | maxWindowNameDensity | 2 | | worstWindowName | "Aurora" | | discoveredNames | | Aurora | 20 | | Richmond | 1 | | Park | 1 | | Nyx | 10 | | Heartstone | 2 | | Isolde | 11 | | Fae | 3 | | Fae-forged | 1 | | Helbound | 4 | | Silence | 1 |
| | persons | | 0 | "Aurora" | | 1 | "Nyx" | | 2 | "Isolde" | | 3 | "Helbound" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Heartstone" | | 3 | "Fae" |
| | globalScore | 0.746 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 92 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 68.16% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.318 | | wordCount | 1517 | | matches | | 0 | "Not just scattered remains, but an intricate pattern, fitted together like tiles" | | 1 | "Not the grotesque, writhing platters of the carvings, but something far more dangerous: a table laden with dishes" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 157 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 66 | | mean | 22.98 | | std | 19.56 | | cv | 0.851 | | sampleLengths | | 0 | 12 | | 1 | 71 | | 2 | 62 | | 3 | 19 | | 4 | 8 | | 5 | 40 | | 6 | 5 | | 7 | 61 | | 8 | 11 | | 9 | 15 | | 10 | 35 | | 11 | 29 | | 12 | 9 | | 13 | 48 | | 14 | 67 | | 15 | 38 | | 16 | 25 | | 17 | 33 | | 18 | 19 | | 19 | 3 | | 20 | 7 | | 21 | 55 | | 22 | 1 | | 23 | 46 | | 24 | 13 | | 25 | 27 | | 26 | 2 | | 27 | 81 | | 28 | 13 | | 29 | 10 | | 30 | 18 | | 31 | 16 | | 32 | 22 | | 33 | 24 | | 34 | 14 | | 35 | 4 | | 36 | 55 | | 37 | 8 | | 38 | 5 | | 39 | 49 | | 40 | 54 | | 41 | 17 | | 42 | 45 | | 43 | 15 | | 44 | 3 | | 45 | 27 | | 46 | 31 | | 47 | 13 | | 48 | 3 | | 49 | 33 |
| |
| 99.95% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 132 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 222 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 13 | | semicolonCount | 0 | | flaggedSentences | 13 | | totalSentences | 157 | | ratio | 0.083 | | matches | | 0 | "The air smelled of wet earth and something older—copper and ozone, like the moment before a storm breaks." | | 1 | "It wasn’t a cave or a doorway—just a wound in the air, edges shimmering like heat haze, the space beyond too dark to be natural." | | 2 | "The walls weren’t rock—they were something alive, pulsing faintly, veined with threads of gold and crimson that writhed like slow lightning." | | 3 | "A distant sound echoed through the cavern—a deep, rhythmic thudding, like a heartbeat." | | 4 | "Pillars rose around them, carved with scenes of feasting—figures with too many teeth, their bellies distended, reaching for platters piled high with food that writhed and twisted." | | 5 | "The ceiling arched high above, lost in shadow, but the floor—" | | 6 | "Atop it sat a throne of fused spines, and upon that throne—" | | 7 | "It was a tear, a wound in reality itself, and through it, she could see—" | | 8 | "Almost *feel* it—" | | 9 | "A sound cut through the cavern—a wet, tearing noise, like flesh parting." | | 10 | "She kicked, but it held fast, its mouth stretching wider, wider—" | | 11 | "And then—" | | 12 | "A sound echoed through the cavern—a deep, resonant *thud*, like a heartbeat." |
| |
| 97.64% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1335 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 57 | | adverbRatio | 0.04269662921348315 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.008239700374531835 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 157 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 157 | | mean | 9.66 | | std | 5.86 | | cv | 0.607 | | sampleLengths | | 0 | 12 | | 1 | 18 | | 2 | 18 | | 3 | 17 | | 4 | 18 | | 5 | 9 | | 6 | 12 | | 7 | 16 | | 8 | 25 | | 9 | 9 | | 10 | 10 | | 11 | 4 | | 12 | 4 | | 13 | 5 | | 14 | 11 | | 15 | 15 | | 16 | 9 | | 17 | 5 | | 18 | 12 | | 19 | 21 | | 20 | 14 | | 21 | 7 | | 22 | 7 | | 23 | 7 | | 24 | 4 | | 25 | 10 | | 26 | 5 | | 27 | 10 | | 28 | 12 | | 29 | 13 | | 30 | 3 | | 31 | 17 | | 32 | 5 | | 33 | 4 | | 34 | 6 | | 35 | 3 | | 36 | 13 | | 37 | 3 | | 38 | 12 | | 39 | 17 | | 40 | 3 | | 41 | 9 | | 42 | 13 | | 43 | 27 | | 44 | 3 | | 45 | 15 | | 46 | 31 | | 47 | 7 | | 48 | 4 | | 49 | 21 |
| |
| 41.72% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 13 | | diversityRatio | 0.2484076433121019 | | totalSentences | 157 | | uniqueOpeners | 39 | |
| 26.46% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 126 | | matches | | | ratio | 0.008 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 27 | | totalSentences | 126 | | matches | | 0 | "She skidded to a halt" | | 1 | "It wasn’t a cave or" | | 2 | "She stepped forward, and the" | | 3 | "They stood in a cavern" | | 4 | "She didn’t finish the question" | | 5 | "She didn’t need to." | | 6 | "Her mouth watered despite herself." | | 7 | "They moved deeper, following the" | | 8 | "She wanted to look away," | | 9 | "She took a step forward," | | 10 | "It was a tear, a" | | 11 | "She could almost taste it." | | 12 | "She blinked, shaking off the" | | 13 | "Their skin was the same" | | 14 | "They moved with jerky, unnatural" | | 15 | "She ducked, rolling to the" | | 16 | "They didn’t bleed." | | 17 | "They just kept coming, their" | | 18 | "She sprinted for the dais," | | 19 | "She raised the dagger, but" |
| | ratio | 0.214 | |
| 19.52% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 111 | | totalSentences | 126 | | matches | | 0 | "The pendant burned against Aurora’s" | | 1 | "She skidded to a halt" | | 2 | "The air smelled of wet" | | 3 | "Isolde glided to a stop," | | 4 | "Aurora breathed, pressing a hand" | | 5 | "The crimson gem pulsed beneath" | | 6 | "It wasn’t a cave or" | | 7 | "Nyx tilted their head, shadows" | | 8 | "Isolde’s lavender eyes narrowed." | | 9 | "Aurora didn’t wait for debate." | | 10 | "She stepped forward, and the" | | 11 | "The air thickened, pressing against" | | 12 | "The others followed in a" | | 13 | "The grove vanished behind them." | | 14 | "They stood in a cavern" | | 15 | "The walls weren’t rock—they were" | | 16 | "The floor beneath their feet" | | 17 | "Aurora crouched, pressing her palm" | | 18 | "A low hum vibrated through" | | 19 | "She didn’t finish the question" |
| | ratio | 0.881 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 126 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 67 | | technicalSentenceCount | 2 | | matches | | 0 | "Not the grotesque, writhing platters of the carvings, but something far more dangerous: a table laden with dishes that made her mouth water." | | 1 | "Nyx moved like a shadow, their form flickering between solid and smoke, striking at the creatures with hands that passed through them like mist." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 1 | | matches | | 0 | "Nyx confirmed, their voice barely more than a whisper" |
| |
| 78.57% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 2 | | fancyTags | | 0 | "Aurora breathed (breathe)" | | 1 | "Nyx confirmed (confirm)" |
| | dialogueSentences | 28 | | tagDensity | 0.071 | | leniency | 0.143 | | rawRatio | 1 | | effectiveRatio | 0.143 | |