| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 7 | | adverbTagCount | 2 | | adverbTags | | 0 | "she called softly [softly]" | | 1 | "she whispered again [again]" |
| | dialogueSentences | 18 | | tagDensity | 0.389 | | leniency | 0.778 | | rawRatio | 0.286 | | effectiveRatio | 0.222 | |
| 72.13% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 897 | | totalAiIsmAdverbs | 5 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | adverb | "reluctantly" | | count | 1 |
|
| | highlights | | 0 | "lazily" | | 1 | "softly" | | 2 | "utterly" | | 3 | "slowly" | | 4 | "reluctantly" |
| |
| 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 897 | | totalAiIsms | 25 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | |
| | highlights | | 0 | "throbbed" | | 1 | "pulse" | | 2 | "chill" | | 3 | "loomed" | | 4 | "gloom" | | 5 | "shimmered" | | 6 | "oppressive" | | 7 | "quickened" | | 8 | "silence" | | 9 | "pulsed" | | 10 | "warmth" | | 11 | "footsteps" | | 12 | "measured" | | 13 | "familiar" | | 14 | "stomach" | | 15 | "echoing" | | 16 | "maw" | | 17 | "depths" |
| |
| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "stomach dropped/sank" | | count | 1 |
| | 1 | | label | "hung in the air" | | count | 1 |
|
| | highlights | | 0 | "stomach dropped" | | 1 | "hung in the air" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 81 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 81 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 92 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 22 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 3 | | markdownWords | 12 | | totalWords | 879 | | ratio | 0.014 | | matches | | 0 | "Find me before it’s too late." | | 1 | "It’s closer than you think." | | 2 | "bending" |
| |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 16 | | wordCount | 821 | | uniqueNames | 7 | | maxNameDensity | 0.61 | | worstName | "Aurora" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Eva" | | discoveredNames | | Heartstone | 2 | | Aurora | 5 | | Fae | 2 | | Grove | 1 | | Fae-touched | 1 | | Hel | 1 | | Eva | 4 |
| | persons | | | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 66 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 879 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 92 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 29 | | mean | 30.31 | | std | 20.39 | | cv | 0.673 | | sampleLengths | | 0 | 68 | | 1 | 83 | | 2 | 11 | | 3 | 30 | | 4 | 58 | | 5 | 2 | | 6 | 46 | | 7 | 55 | | 8 | 43 | | 9 | 13 | | 10 | 40 | | 11 | 2 | | 12 | 18 | | 13 | 20 | | 14 | 7 | | 15 | 47 | | 16 | 11 | | 17 | 26 | | 18 | 19 | | 19 | 20 | | 20 | 43 | | 21 | 35 | | 22 | 7 | | 23 | 28 | | 24 | 47 | | 25 | 46 | | 26 | 11 | | 27 | 32 | | 28 | 11 |
| |
| 87.94% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 81 | | matches | | 0 | "being cleared" | | 1 | "being pulled" | | 2 | "was gone" | | 3 | "being pulled" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 152 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 14 | | semicolonCount | 1 | | flaggedSentences | 13 | | totalSentences | 92 | | ratio | 0.141 | | matches | | 0 | "Time moved differently here—she’d learned that much from her brief encounters with the Fae-touched." | | 1 | "A glance at her watch confirmed it was useless; the hands spun lazily in opposite directions." | | 2 | "Someone—or something—had guided her here tonight." | | 3 | "Eva wouldn’t be here—couldn’t be here." | | 4 | "Her pulse quickened as she caught movement in her periphery—a shadow darting between the trees." | | 5 | "Then, a sound—low, guttural, like a throat being cleared of something thick and wet." | | 6 | "Not swaying in the breeze—there was no breeze—but *bending*, as if something unseen brushed against them." | | 7 | "Then, a voice—soft, familiar, and utterly wrong." | | 8 | "At the edge of the clearing stood Eva—or something that looked like her." | | 9 | "Her hair was longer, tangled with twigs and leaves, and her eyes—her eyes were wrong." | | 10 | "Then, the laughter started—low, guttural, echoing from all directions at once." | | 11 | "In its place, a new sound—a wet, tearing noise, like flesh being pulled apart." | | 12 | "Shadows writhed within its depths, twisting and coalescing into shapes that resembled human figures—elongated, grotesque, their mouths frozen in silent screams." |
| |
| 81.01% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 839 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 42 | | adverbRatio | 0.050059594755661505 | | lyAdverbCount | 21 | | lyAdverbRatio | 0.025029797377830752 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 92 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 92 | | mean | 9.55 | | std | 5.29 | | cv | 0.554 | | sampleLengths | | 0 | 20 | | 1 | 14 | | 2 | 17 | | 3 | 17 | | 4 | 18 | | 5 | 14 | | 6 | 16 | | 7 | 9 | | 8 | 6 | | 9 | 20 | | 10 | 11 | | 11 | 2 | | 12 | 3 | | 13 | 6 | | 14 | 19 | | 15 | 17 | | 16 | 14 | | 17 | 15 | | 18 | 12 | | 19 | 2 | | 20 | 6 | | 21 | 14 | | 22 | 5 | | 23 | 9 | | 24 | 1 | | 25 | 11 | | 26 | 20 | | 27 | 14 | | 28 | 8 | | 29 | 6 | | 30 | 7 | | 31 | 7 | | 32 | 7 | | 33 | 3 | | 34 | 1 | | 35 | 16 | | 36 | 9 | | 37 | 7 | | 38 | 6 | | 39 | 5 | | 40 | 8 | | 41 | 7 | | 42 | 1 | | 43 | 9 | | 44 | 10 | | 45 | 2 | | 46 | 3 | | 47 | 7 | | 48 | 7 | | 49 | 1 |
| |
| 69.57% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.42391304347826086 | | totalSentences | 92 | | uniqueOpeners | 39 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 7 | | totalSentences | 77 | | matches | | 0 | "Of course not." | | 1 | "Then, a sound—low, guttural, like" | | 2 | "Just the standing stones, their" | | 3 | "Then, a voice—soft, familiar, and" | | 4 | "Then, the laughter started—low, guttural," | | 5 | "Slowly, reluctantly, she turned." | | 6 | "Then, a hand clamped down" |
| | ratio | 0.091 | |
| 64.16% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 30 | | totalSentences | 77 | | matches | | 0 | "She paused, her breath fogging" | | 1 | "She rubbed the small crescent-shaped" | | 2 | "She clicked the pendant’s silver" | | 3 | "she called softly, her voice" | | 4 | "She’d vanished months ago, leaving" | | 5 | "Her pulse quickened as she" | | 6 | "She stopped, her hand instinctively" | | 7 | "It came from behind her." | | 8 | "She spun, her knife flashing" | | 9 | "Her Heartstone pulsed again, sharper" | | 10 | "She touched it, the gemstone’s" | | 11 | "She glanced around, her senses" | | 12 | "She turned, her knife raised," | | 13 | "She took a step back," | | 14 | "she whispered again, her voice" | | 15 | "She whirled, her knife slicing" | | 16 | "Her breath hitched, her grip" | | 17 | "Her stomach dropped." | | 18 | "It was Eva’s voice, but" | | 19 | "She turned, her heart hammering" |
| | ratio | 0.39 | |
| 63.90% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 61 | | totalSentences | 77 | | matches | | 0 | "The Heartstone pendant throbbed against" | | 1 | "She paused, her breath fogging" | | 2 | "The ancient oak standing stones" | | 3 | "She rubbed the small crescent-shaped" | | 4 | "The clearing was unnaturally silent," | | 5 | "Time moved differently here—she’d learned" | | 6 | "A glance at her watch" | | 7 | "She clicked the pendant’s silver" | | 8 | "Someone—or something—had guided her here" | | 9 | "A note, slipped under her" | | 10 | "she called softly, her voice" | | 11 | "Eva wouldn’t be here—couldn’t be" | | 12 | "She’d vanished months ago, leaving" | | 13 | "Aurora moved deeper into the" | | 14 | "The air thickened with each" | | 15 | "Her pulse quickened as she" | | 16 | "She stopped, her hand instinctively" | | 17 | "The silence stretched, taut and" | | 18 | "It came from behind her." | | 19 | "She spun, her knife flashing" |
| | ratio | 0.792 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 77 | | matches | (empty) | | ratio | 0 | |
| 11.28% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 38 | | technicalSentenceCount | 7 | | matches | | 0 | "The clearing was unnaturally silent, save for the faint rustle of wildflowers that bloomed defiantly in the gloom." | | 1 | "A note, slipped under her door, scrawled in ink that shimmered like liquid moonlight: *Find me before it’s too late.*" | | 2 | "Aurora moved deeper into the grove, her trainers crunching on the dry leaves that carpeted the ground." | | 3 | "Not swaying in the breeze—there was no breeze—but *bending*, as if something unseen brushed against them." | | 4 | "The thing that wasn’t Eva tilted its head, a smile stretching across its face too wide, too sharp." | | 5 | "She spun in circles, her eyes darting between the trees, searching for the source." | | 6 | "Shadows writhed within its depths, twisting and coalescing into shapes that resembled human figures—elongated, grotesque, their mouths frozen in silent screams." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 7 | | uselessAdditionCount | 5 | | matches | | 0 | "she whispered again, her voice trembling" | | 1 | "Aurora breathed, her voice barely audible" | | 2 | "it said, its voice rising in pitch, almost sing-song" | | 3 | "she shouted, her voice raw" | | 4 | "she whispered, tears stinging her eyes" |
| |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 5 | | fancyTags | | 0 | "she whispered again (whisper)" | | 1 | "the voice whispered (whisper)" | | 2 | "Aurora breathed (breathe)" | | 3 | "she shouted (shout)" | | 4 | "she whispered (whisper)" |
| | dialogueSentences | 18 | | tagDensity | 0.389 | | leniency | 0.778 | | rawRatio | 0.714 | | effectiveRatio | 0.556 | |