| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 2 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 92.32% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1302 | | 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) | |
| 57.76% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1302 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "chill" | | 1 | "familiar" | | 2 | "warmth" | | 3 | "pulse" | | 4 | "silk" | | 5 | "silence" | | 6 | "pulsed" | | 7 | "throbbed" | | 8 | "rhythmic" |
| |
| 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 | 141 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 141 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 141 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 50 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 5 | | markdownWords | 47 | | totalWords | 1302 | | ratio | 0.036 | | matches | | 0 | "Come alone. Tonight." | | 1 | "I can see you in my dreams. You're standing in a place that doesn't exist yet." | | 2 | "The stones are singing. I need you to hear them too." | | 3 | "You'll understand when you're here. You'll finally understand." | | 4 | "Don't look at them directly. They'll wear your face." |
| |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 49 | | wordCount | 1298 | | uniqueNames | 15 | | maxNameDensity | 1.69 | | worstName | "Rory" | | maxWindowNameDensity | 4 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 22 | | Heartstone | 2 | | September | 1 | | Park | 1 | | Grove | 4 | | Eva | 8 | | Golden | 1 | | Empress | 1 | | Dymas | 1 | | Cyprus | 1 | | Silence | 1 | | London | 1 | | Evan | 2 | | Cardiff | 2 | | Manchester | 1 |
| | persons | | 0 | "Rory" | | 1 | "Grove" | | 2 | "Eva" | | 3 | "Silence" | | 4 | "Evan" |
| | places | | 0 | "Park" | | 1 | "Dymas" | | 2 | "Cyprus" | | 3 | "London" | | 4 | "Cardiff" | | 5 | "Manchester" |
| | globalScore | 0.653 | | windowScore | 0.333 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 76 | | 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 | 1302 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 141 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 39 | | mean | 33.38 | | std | 22.22 | | cv | 0.665 | | sampleLengths | | 0 | 7 | | 1 | 59 | | 2 | 39 | | 3 | 62 | | 4 | 57 | | 5 | 18 | | 6 | 5 | | 7 | 48 | | 8 | 44 | | 9 | 5 | | 10 | 49 | | 11 | 11 | | 12 | 15 | | 13 | 36 | | 14 | 46 | | 15 | 5 | | 16 | 48 | | 17 | 48 | | 18 | 8 | | 19 | 36 | | 20 | 43 | | 21 | 12 | | 22 | 30 | | 23 | 3 | | 24 | 56 | | 25 | 12 | | 26 | 67 | | 27 | 2 | | 28 | 63 | | 29 | 3 | | 30 | 65 | | 31 | 43 | | 32 | 7 | | 33 | 60 | | 34 | 23 | | 35 | 74 | | 36 | 12 | | 37 | 40 | | 38 | 41 |
| |
| 92.82% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 141 | | matches | | 0 | "been exhausted" | | 1 | "being torn" | | 2 | "being unmade" | | 3 | "been shed" | | 4 | "were raised" |
| |
| 75.97% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 215 | | matches | | 0 | "was freezing" | | 1 | "was crying" | | 2 | "was stepping" | | 3 | "was gaining" |
| |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 141 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1300 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 44 | | adverbRatio | 0.033846153846153845 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.008461538461538461 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 141 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 141 | | mean | 9.23 | | std | 8.53 | | cv | 0.924 | | sampleLengths | | 0 | 7 | | 1 | 22 | | 2 | 11 | | 3 | 26 | | 4 | 17 | | 5 | 10 | | 6 | 2 | | 7 | 9 | | 8 | 1 | | 9 | 5 | | 10 | 18 | | 11 | 10 | | 12 | 7 | | 13 | 15 | | 14 | 7 | | 15 | 7 | | 16 | 14 | | 17 | 24 | | 18 | 3 | | 19 | 9 | | 20 | 5 | | 21 | 13 | | 22 | 5 | | 23 | 22 | | 24 | 13 | | 25 | 1 | | 26 | 2 | | 27 | 2 | | 28 | 8 | | 29 | 8 | | 30 | 17 | | 31 | 7 | | 32 | 12 | | 33 | 5 | | 34 | 2 | | 35 | 16 | | 36 | 8 | | 37 | 3 | | 38 | 1 | | 39 | 14 | | 40 | 2 | | 41 | 3 | | 42 | 11 | | 43 | 2 | | 44 | 13 | | 45 | 6 | | 46 | 12 | | 47 | 13 | | 48 | 4 | | 49 | 1 |
| |
| 57.92% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.3900709219858156 | | totalSentences | 141 | | uniqueOpeners | 55 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 115 | | matches | | 0 | "Just a map pin and" | | 1 | "Just her name written in" | | 2 | "Then, from somewhere behind the" | | 3 | "Just smooth skin, featureless, waiting" |
| | ratio | 0.035 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 33 | | totalSentences | 115 | | matches | | 0 | "She felt it first as" | | 1 | "She touched it through her" | | 2 | "She'd come to the Grove" | | 3 | "*I can see you in" | | 4 | "You're standing in a place" | | 5 | "I need you to hear" | | 6 | "She'd told herself it was" | | 7 | "She'd read about them once," | | 8 | "They swayed though there was" | | 9 | "She stepped into the clearing." | | 10 | "She felt it in her" | | 11 | "Her voice came out wrong," | | 12 | "It pulsed once, sharp as" | | 13 | "She should run." | | 14 | "*You'll understand when you're here." | | 15 | "You'll finally understand.*" | | 16 | "Her breath came in shallow" | | 17 | "She'd fallen from the garden" | | 18 | "She reached the gap between" | | 19 | "Their branches interlaced overhead, forming" |
| | ratio | 0.287 | |
| 90.43% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 85 | | totalSentences | 115 | | matches | | 0 | "The chain around Rory's neck" | | 1 | "She felt it first as" | | 2 | "The Heartstone pendant, usually warm" | | 3 | "She touched it through her" | | 4 | "Richmond Park lay behind her," | | 5 | "She'd come to the Grove" | | 6 | "Rory had almost stayed home." | | 7 | "The Golden Empress shift ended" | | 8 | "*I can see you in" | | 9 | "You're standing in a place" | | 10 | "I need you to hear" | | 11 | "She'd told herself it was" | | 12 | "Eva had always been dramatic," | | 13 | "The warmth had started immediately." | | 14 | "A pulse, faint as a" | | 15 | "Rory pushed through the hawthorn" | | 16 | "She'd read about them once," | | 17 | "The sort of thing tourists" | | 18 | "The wildflowers bloomed in defiance" | | 19 | "Foxgloves and bluebells and something" |
| | ratio | 0.739 | |
| 86.96% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 115 | | matches | | 0 | "Now it was freezing her." | | 1 | "Now it throbbed in time" |
| | ratio | 0.017 | |
| 15.87% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 45 | | technicalSentenceCount | 8 | | matches | | 0 | "She felt it first as a pinprick against her collarbone, then a spreading chill that crawled up her throat like ice water." | | 1 | "She touched it through her jumper, fingers finding the familiar crimson stone, and her breath fogged in air that shouldn't have been cold in late September." | | 2 | "Rory pushed through the hawthorn hedge that marked the Grove's boundary, the ancient oak standing stones rising before her like broken teeth." | | 3 | "Their branches interlaced overhead, forming a tunnel of living wood that stretched into darkness." | | 4 | "It wore something that might have been clothes, or might have been shed skin, pale and translucent and moving slightly in a wind that didn't touch Rory." | | 5 | "The lights clustered closer, curious, hungry, and behind her, the tearing sound became a voice that spoke her name in three different tones at once." | | 6 | "Behind her, the thing that wore Eva's shape made a sound like breaking glass, and Rory didn't stop running." | | 7 | "And from the tunnel behind her, something that had been waiting since before the stones were raised finally stepped into the light, wearing Rory's shape now, we…" |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 2 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |