| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 6 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 89.37% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 941 | | 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) | |
| 20.30% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 941 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "warmth" | | 1 | "pulse" | | 2 | "loomed" | | 3 | "perfect" | | 4 | "echoed" | | 5 | "sentinels" | | 6 | "silence" | | 7 | "footsteps" | | 8 | "measured" | | 9 | "whisper" | | 10 | "glinting" | | 11 | "throbbed" | | 12 | "pulsed" |
| |
| 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 | 120 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 120 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 123 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 37 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 14 | | markdownWords | 37 | | totalWords | 931 | | ratio | 0.04 | | matches | | 0 | "off" | | 1 | "\"Just leave it at the oak. No one else can touch it, Rory. You know that.\"" | | 2 | "Bury it at the base. Don’t look back." | | 3 | "thrummed" | | 4 | "warm" | | 5 | "testing" | | 6 | "“Little thief.”" | | 7 | "bending" | | 8 | "cold" | | 9 | "it" | | 10 | "shuddered" | | 11 | "ripped" | | 12 | "Safe." | | 13 | "pulsed" |
| |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 1 | | unquotedAttributions | 0 | | matches | (empty) | |
| 94.63% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 15 | | wordCount | 903 | | uniqueNames | 3 | | maxNameDensity | 1.11 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | | persons | | | places | (empty) | | globalScore | 0.946 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 68 | | 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 | 931 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 123 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 47 | | mean | 19.81 | | std | 20.01 | | cv | 1.01 | | sampleLengths | | 0 | 12 | | 1 | 70 | | 2 | 6 | | 3 | 63 | | 4 | 3 | | 5 | 38 | | 6 | 9 | | 7 | 3 | | 8 | 49 | | 9 | 1 | | 10 | 13 | | 11 | 12 | | 12 | 35 | | 13 | 10 | | 14 | 49 | | 15 | 4 | | 16 | 84 | | 17 | 9 | | 18 | 24 | | 19 | 17 | | 20 | 5 | | 21 | 36 | | 22 | 8 | | 23 | 13 | | 24 | 31 | | 25 | 7 | | 26 | 2 | | 27 | 51 | | 28 | 3 | | 29 | 6 | | 30 | 45 | | 31 | 14 | | 32 | 3 | | 33 | 12 | | 34 | 6 | | 35 | 46 | | 36 | 3 | | 37 | 5 | | 38 | 16 | | 39 | 4 | | 40 | 8 | | 41 | 29 | | 42 | 26 | | 43 | 3 | | 44 | 13 | | 45 | 19 | | 46 | 6 |
| |
| 99.42% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 120 | | matches | | 0 | "was gone" | | 1 | "was snapped" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 165 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 15 | | semicolonCount | 0 | | flaggedSentences | 12 | | totalSentences | 123 | | ratio | 0.098 | | matches | | 0 | "Not rotten, not sour—just *off*, like the scent of rain on hot pavement when no storm had come." | | 1 | "Eva’s voice echoed in her skull—*\"Just leave it at the oak. No one else can touch it, Rory. You know that.\"* The package in her satchel weighed nothing, but it might as well have been a brick." | | 2 | "Then—laughter." | | 3 | "She yanked the package from her satchel—a small wooden box, unmarked—and shoved it into the ground." | | 4 | "Animals didn’t move like that—measured, *testing*." | | 5 | "Then—laughter again." | | 6 | "The thing—*it*—pulled her back, toward the dark heart of the grove." | | 7 | "The stones were right there, just—" | | 8 | "The thing—tall, too tall, its limbs bending at wrong angles—slammed into the oak." | | 9 | "She hurled herself between them—" | | 10 | "—and the world *ripped*." | | 11 | "And the pendant—" |
| |
| 99.72% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 124 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 5 | | adverbRatio | 0.04032258064516129 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.008064516129032258 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 123 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 123 | | mean | 7.57 | | std | 5.55 | | cv | 0.733 | | sampleLengths | | 0 | 12 | | 1 | 18 | | 2 | 10 | | 3 | 11 | | 4 | 14 | | 5 | 17 | | 6 | 6 | | 7 | 11 | | 8 | 37 | | 9 | 8 | | 10 | 7 | | 11 | 3 | | 12 | 2 | | 13 | 20 | | 14 | 2 | | 15 | 2 | | 16 | 12 | | 17 | 3 | | 18 | 6 | | 19 | 3 | | 20 | 9 | | 21 | 2 | | 22 | 9 | | 23 | 10 | | 24 | 19 | | 25 | 1 | | 26 | 5 | | 27 | 2 | | 28 | 6 | | 29 | 2 | | 30 | 9 | | 31 | 1 | | 32 | 2 | | 33 | 12 | | 34 | 4 | | 35 | 1 | | 36 | 16 | | 37 | 3 | | 38 | 7 | | 39 | 11 | | 40 | 19 | | 41 | 6 | | 42 | 10 | | 43 | 3 | | 44 | 4 | | 45 | 13 | | 46 | 11 | | 47 | 6 | | 48 | 13 | | 49 | 11 |
| |
| 43.90% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.3170731707317073 | | totalSentences | 123 | | uniqueOpeners | 39 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 6 | | totalSentences | 101 | | matches | | 0 | "Just the flowers, swaying slightly," | | 1 | "Even her footsteps made no" | | 2 | "Too many teeth in the" | | 3 | "Just the laughter again, closer" | | 4 | "Only the sway of leaves," | | 5 | "Then, with a shuddering breath," |
| | ratio | 0.059 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 27 | | totalSentences | 101 | | matches | | 0 | "She paused, fingers brushing the" | | 1 | "Its usual faint warmth had" | | 2 | "She shouldn’t have come at" | | 3 | "She adjusted the strap, her" | | 4 | "She kept moving." | | 5 | "She craned her neck." | | 6 | "Her breath hitched." | | 7 | "She broke into a jog," | | 8 | "She dropped to her knees" | | 9 | "She ignored it, tearing at" | | 10 | "She yanked the package from" | | 11 | "She jerked her head up." | | 12 | "Her skin prickled." | | 13 | "Her voice cracked" | | 14 | "Her lungs locked." | | 15 | "She clapped a hand over" | | 16 | "She didn’t dare look back." | | 17 | "She went down hard, chin" | | 18 | "She kicked, twisted, but the" | | 19 | "She clawed at the ground," |
| | ratio | 0.267 | |
| 59.01% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 81 | | totalSentences | 101 | | matches | | 0 | "The air smelled wrong the" | | 1 | "She paused, fingers brushing the" | | 2 | "Its usual faint warmth had" | | 3 | "The trees loomed taller here," | | 4 | "Wildflowers carpeted the ground, too" | | 5 | "She shouldn’t have come at" | | 6 | "The thought skittered through her" | | 7 | "Eva’s voice echoed in her" | | 8 | "She adjusted the strap, her" | | 9 | "The crescent scar on her" | | 10 | "A twig snapped." | | 11 | "The sound had come from" | | 12 | "She kept moving." | | 13 | "The deeper she went, the" | | 14 | "The pendant’s glow seeped through" | | 15 | "The grove yawned empty, the" | | 16 | "She craned her neck." | | 17 | "Her breath hitched." | | 18 | "The satchel suddenly felt like" | | 19 | "She broke into a jog," |
| | ratio | 0.802 | |
| 49.50% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 101 | | matches | | 0 | "—and the world *ripped*." |
| | ratio | 0.01 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 38 | | technicalSentenceCount | 2 | | matches | | 0 | "The trees loomed taller here, their branches knitting into a ceiling that swallowed moonlight." | | 1 | "She clapped a hand over it, as if she could smother the glow." |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 6 | | tagDensity | 0.167 | | leniency | 0.333 | | rawRatio | 1 | | effectiveRatio | 0.333 | |