| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 10 | | tagDensity | 0.9 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.08% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1276 | | 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1276 | | totalAiIsms | 35 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | | | 21 | | | 22 | | | 23 | |
| | highlights | | 0 | "perfect" | | 1 | "whisper" | | 2 | "throb" | | 3 | "pulsed" | | 4 | "pulse" | | 5 | "weight" | | 6 | "echo" | | 7 | "traced" | | 8 | "throbbed" | | 9 | "warmth" | | 10 | "scanning" | | 11 | "flickered" | | 12 | "standard" | | 13 | "wavered" | | 14 | "flicked" | | 15 | "pounding" | | 16 | "echoed" | | 17 | "footsteps" | | 18 | "etched" | | 19 | "mechanical" | | 20 | "trembled" | | 21 | "searing" | | 22 | "gloom" | | 23 | "silence" |
| |
| 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 | 1 | | narrationSentences | 173 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 173 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 174 | | 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 | 0 | | markdownWords | 0 | | totalWords | 1271 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 19 | | wordCount | 1238 | | uniqueNames | 7 | | maxNameDensity | 0.73 | | worstName | "Aurora" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Aurora" | | discoveredNames | | Eva | 2 | | London | 1 | | Heartstone | 2 | | Pendant | 1 | | Footsteps | 1 | | Aurora | 9 | | Light | 3 |
| | persons | | 0 | "Eva" | | 1 | "Heartstone" | | 2 | "Pendant" | | 3 | "Aurora" | | 4 | "Light" |
| | places | | | globalScore | 1 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 102 | | glossingSentenceCount | 1 | | matches | | 0 | "as though acknowledging" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1271 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 174 | | matches | (empty) | |
| 38.83% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 22 | | mean | 57.77 | | std | 16.52 | | cv | 0.286 | | sampleLengths | | 0 | 92 | | 1 | 61 | | 2 | 49 | | 3 | 87 | | 4 | 64 | | 5 | 69 | | 6 | 74 | | 7 | 70 | | 8 | 68 | | 9 | 67 | | 10 | 63 | | 11 | 35 | | 12 | 44 | | 13 | 49 | | 14 | 57 | | 15 | 48 | | 16 | 61 | | 17 | 47 | | 18 | 54 | | 19 | 50 | | 20 | 14 | | 21 | 48 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 173 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 254 | | matches | (empty) | |
| 77.18% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 174 | | ratio | 0.023 | | matches | | 0 | "She knelt, rifling for the packet of matches she’d pocketed earlier—standard gear for dusk hunts." | | 1 | "When the light touched its face, the figure dissolved—an afterimage of bone and skin, then gone." | | 2 | "It clicked its tongue—sharp and hollow." | | 3 | "She gripped the carving etched deep there—runes she still didn’t understand." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1243 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 31 | | adverbRatio | 0.0249396621078037 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.003218020917135961 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 174 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 174 | | mean | 7.3 | | std | 4.12 | | cv | 0.564 | | sampleLengths | | 0 | 6 | | 1 | 14 | | 2 | 18 | | 3 | 19 | | 4 | 22 | | 5 | 13 | | 6 | 4 | | 7 | 4 | | 8 | 4 | | 9 | 3 | | 10 | 3 | | 11 | 15 | | 12 | 10 | | 13 | 2 | | 14 | 16 | | 15 | 8 | | 16 | 2 | | 17 | 12 | | 18 | 5 | | 19 | 2 | | 20 | 9 | | 21 | 7 | | 22 | 4 | | 23 | 13 | | 24 | 12 | | 25 | 11 | | 26 | 7 | | 27 | 15 | | 28 | 15 | | 29 | 14 | | 30 | 7 | | 31 | 4 | | 32 | 8 | | 33 | 5 | | 34 | 9 | | 35 | 6 | | 36 | 11 | | 37 | 2 | | 38 | 7 | | 39 | 5 | | 40 | 5 | | 41 | 7 | | 42 | 10 | | 43 | 2 | | 44 | 3 | | 45 | 6 | | 46 | 4 | | 47 | 11 | | 48 | 8 | | 49 | 2 |
| |
| 39.66% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 18 | | diversityRatio | 0.25287356321839083 | | totalSentences | 174 | | uniqueOpeners | 44 | |
| 85.47% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 156 | | matches | | 0 | "Only the persistent throb in" | | 1 | "Somewhere down a broken path," | | 2 | "Just the stillness stretching away" | | 3 | "Only the ridge remained, empty." |
| | ratio | 0.026 | |
| 45.64% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 68 | | totalSentences | 156 | | matches | | 0 | "She paused, heart thudding as" | | 1 | "She’d come looking for the" | | 2 | "She lifted her chin." | | 3 | "Her whisper cracked" | | 4 | "It pulsed, its deep crimson" | | 5 | "She pressed the stone, tried" | | 6 | "She glared at the stone." | | 7 | "She took a step forward," | | 8 | "She hefted the weight off" | | 9 | "Its beam carved a circular" | | 10 | "She swept the light across" | | 11 | "She circled one, reading its" | | 12 | "she said, voice stronger now" | | 13 | "She tapped her thigh." | | 14 | "She traced the silver chain." | | 15 | "Its links felt cold, but" | | 16 | "She tucked it beneath her" | | 17 | "She raised the flashlight, scanning" | | 18 | "She jerked around, but found" | | 19 | "Her shoulders stiffened." |
| | ratio | 0.436 | |
| 8.08% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 141 | | totalSentences | 156 | | matches | | 0 | "Aurora stepped between the ancient" | | 1 | "Moonlight slipped through gnarled branches," | | 2 | "The standing stones ringed her" | | 3 | "She paused, heart thudding as" | | 4 | "She’d come looking for the" | | 5 | "She lifted her chin." | | 6 | "Her whisper cracked" | | 7 | "The grove swallowed sound." | | 8 | "It pulsed, its deep crimson" | | 9 | "She pressed the stone, tried" | | 10 | "A twig snapped just beyond" | | 11 | "The glow from the pendant" | | 12 | "She glared at the stone." | | 13 | "She took a step forward," | | 14 | "The birdcalls she’d tracked here" | | 15 | "The hush felt deliberate." | | 16 | "She hefted the weight off" | | 17 | "Its beam carved a circular" | | 18 | "She swept the light across" | | 19 | "Symbols woven into the wood’s" |
| | ratio | 0.904 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 156 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 43 | | technicalSentenceCount | 2 | | matches | | 0 | "She’d come looking for the portal Eva whispered of, something older than faerie tales, something that would explain the tremors beneath London." | | 1 | "Warmth spread, as if the stone tried to pull her inward, carry her beyond this place." |
| |
| 13.89% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 2 | | matches | | 0 | "she said, voice stronger now" | | 1 | "she muttered, voice rough" |
| |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 4 | | fancyTags | | 0 | "She pressed (press)" | | 1 | "she demanded (demand)" | | 2 | "she muttered (mutter)" | | 3 | "She whispered (whisper)" |
| | dialogueSentences | 10 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0.8 | | effectiveRatio | 0.8 | |