| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 1 | | adverbTags | | 0 | "The word sounded pitifully [pitifully]" |
| | dialogueSentences | 5 | | tagDensity | 0.6 | | leniency | 1 | | rawRatio | 0.333 | | effectiveRatio | 0.333 | |
| 79.59% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 735 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "sweetly" | | 1 | "suddenly" | | 2 | "slowly" |
| |
| 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) | |
| 31.97% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 735 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "chill" | | 1 | "pulsed" | | 2 | "pulse" | | 3 | "crystalline" | | 4 | "whisper" | | 5 | "chilled" | | 6 | "silence" | | 7 | "warmth" | | 8 | "weight" |
| |
| 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 | 72 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 72 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 74 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 26 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 721 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 72.43% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 22 | | wordCount | 709 | | uniqueNames | 8 | | maxNameDensity | 1.55 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 11 | | Heartstone | 3 | | Wind | 2 | | Cardiff | 1 | | Wrong | 2 | | Silence | 1 | | Richmond | 1 | | Park | 1 |
| | persons | | | places | | 0 | "Cardiff" | | 1 | "Richmond" | | 2 | "Park" |
| | globalScore | 0.724 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 46 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 61.30% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.387 | | wordCount | 721 | | matches | | 0 | "not from the trees but from the ground itself" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 74 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 19 | | mean | 37.95 | | std | 21.28 | | cv | 0.561 | | sampleLengths | | 0 | 49 | | 1 | 71 | | 2 | 49 | | 3 | 69 | | 4 | 14 | | 5 | 31 | | 6 | 15 | | 7 | 52 | | 8 | 27 | | 9 | 49 | | 10 | 14 | | 11 | 2 | | 12 | 64 | | 13 | 5 | | 14 | 27 | | 15 | 50 | | 16 | 52 | | 17 | 58 | | 18 | 23 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 72 | | matches | (empty) | |
| 92.47% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 124 | | matches | | 0 | "wasn’t hiding" | | 1 | "was herding" |
| |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 12 | | semicolonCount | 0 | | flaggedSentences | 10 | | totalSentences | 74 | | ratio | 0.135 | | matches | | 0 | "The Heartstone pulsed against her collarbone—three slow throbs like a warning heartbeat." | | 1 | "But after three nights of the same recurring dream—the grove, the whispering stones, the faceless figure beckoning from between the trees—resistance had worn thin." | | 2 | "The air smelled of damp earth and something sweetly metallic—like rust and honey." | | 3 | "The oak stones hummed—a low, discordant vibration Rory felt in her teeth." | | 4 | "The response came not from the trees but from the ground itself—a whisper through roots and soil, rising like steam." | | 5 | "Rory spun, catching only retreating movement in her periphery—a flash of bone-white between the oaks." | | 6 | "She skidded to a halt before the standing stones—only to find the exit gone." | | 7 | "“Dymas,” she gasped—the only name she had for the stone’s giver." | | 8 | "The grove air—heavy with moss and time—snapped into the clean chill of Richmond Park." | | 9 | "But as she turned toward home, she caught a single bluebell growing at the base of the park oak—impossibly vibrant, petals edged in frost." |
| |
| 86.64% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 723 | | adjectiveStacks | 1 | | stackExamples | | 0 | "tight over sharp angles," |
| | adverbCount | 35 | | adverbRatio | 0.048409405255878286 | | lyAdverbCount | 14 | | lyAdverbRatio | 0.019363762102351315 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 74 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 74 | | mean | 9.74 | | std | 6.55 | | cv | 0.673 | | sampleLengths | | 0 | 17 | | 1 | 20 | | 2 | 12 | | 3 | 4 | | 4 | 3 | | 5 | 2 | | 6 | 24 | | 7 | 9 | | 8 | 16 | | 9 | 13 | | 10 | 8 | | 11 | 10 | | 12 | 6 | | 13 | 11 | | 14 | 12 | | 15 | 2 | | 16 | 15 | | 17 | 12 | | 18 | 15 | | 19 | 8 | | 20 | 19 | | 21 | 1 | | 22 | 2 | | 23 | 4 | | 24 | 7 | | 25 | 4 | | 26 | 6 | | 27 | 20 | | 28 | 1 | | 29 | 5 | | 30 | 10 | | 31 | 4 | | 32 | 15 | | 33 | 21 | | 34 | 3 | | 35 | 6 | | 36 | 3 | | 37 | 3 | | 38 | 5 | | 39 | 17 | | 40 | 2 | | 41 | 3 | | 42 | 4 | | 43 | 20 | | 44 | 22 | | 45 | 5 | | 46 | 9 | | 47 | 2 | | 48 | 17 | | 49 | 14 |
| |
| 72.07% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.47297297297297297 | | totalSentences | 74 | | uniqueOpeners | 35 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 63 | | matches | | 0 | "Too crystalline, too deliberate." | | 1 | "Even the ever-blooming flowers seemed" | | 2 | "Then, as if in answer," |
| | ratio | 0.048 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 13 | | totalSentences | 63 | | matches | | 0 | "Her breath plumed in the" | | 1 | "She shouldn’t have come." | | 2 | "Their stems stretched toward her," | | 3 | "she muttered, rubbing her left" | | 4 | "She turned, pulse rabbiting in" | | 5 | "She fumbled for it, fingers" | | 6 | "Her mother’s name for her." | | 7 | "Her throat clenched." | | 8 | "It was herding." | | 9 | "She skidded to a halt" | | 10 | "she gasped—the only name she" | | 11 | "She crossed the boundary with" | | 12 | "It wilted as she watched," |
| | ratio | 0.206 | |
| 86.98% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 47 | | totalSentences | 63 | | matches | | 0 | "The crescent moon cast jagged" | | 1 | "Her breath plumed in the" | | 2 | "The Heartstone pulsed against her" | | 3 | "She shouldn’t have come." | | 4 | "The wildflowers scattered across the" | | 5 | "The air smelled of damp" | | 6 | "Rory crouched to examine a" | | 7 | "Their stems stretched toward her," | | 8 | "A sharp intake of breath" | | 9 | "she muttered, rubbing her left" | | 10 | "Wind surged through the clearing" | | 11 | "The oak stones hummed—a low," | | 12 | "She turned, pulse rabbiting in" | | 13 | "The pendant burned suddenly hot" | | 14 | "She fumbled for it, fingers" | | 15 | "Wind chimes mimicked by a" | | 16 | "Rory straightened, shoulders tight." | | 17 | "The word sounded pitifully small" | | 18 | "The response came not from" | | 19 | "Her mother’s name for her." |
| | ratio | 0.746 | |
| 79.37% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 63 | | matches | | 0 | "Now, beneath the twisted branches," |
| | ratio | 0.016 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 31 | | technicalSentenceCount | 1 | | matches | | 0 | "Then, as if in answer, warmth spread from the Heartstone up her arm, threading through her veins like liquid gold." |
| |
| 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 | 2 | | fancyCount | 2 | | fancyTags | | 0 | "she muttered (mutter)" | | 1 | "she gasped (gasp)" |
| | dialogueSentences | 5 | | tagDensity | 0.4 | | leniency | 0.8 | | rawRatio | 1 | | effectiveRatio | 0.8 | |