| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 8 | | tagDensity | 0.375 | | leniency | 0.75 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.21% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1319 | | 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) | |
| 43.14% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1319 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "loomed" | | 1 | "flickered" | | 2 | "tracing" | | 3 | "pulsed" | | 4 | "rhythmic" | | 5 | "footsteps" | | 6 | "silence" | | 7 | "familiar" | | 8 | "marble" | | 9 | "searing" | | 10 | "warmth" | | 11 | "echoing" |
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| 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 | 179 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 179 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 184 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 30 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 9 | | markdownWords | 47 | | totalWords | 1323 | | ratio | 0.036 | | matches | | 0 | "Why did I come here?" | | 1 | "A threshold, Rory. A place where the veil gets thin enough to stick your hand through." | | 2 | "Fine." | | 3 | "Keep moving." | | 4 | "Turn around. Go back." | | 5 | "I should leave." | | 6 | "Don’t turn around." | | 7 | "Fight. Run. Do something." | | 8 | "You brought the stone here. You made the choice." |
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| 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 | 30 | | wordCount | 1274 | | uniqueNames | 13 | | maxNameDensity | 0.78 | | worstName | "Aurora" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Aurora" | | discoveredNames | | Heartstone | 6 | | Aurora | 10 | | Richmond | 1 | | Park | 1 | | Isolde | 1 | | Rory | 1 | | Golden | 1 | | Empress | 1 | | Silas | 1 | | November | 2 | | Thames | 1 | | London | 1 | | Cold | 3 |
| | persons | | 0 | "Heartstone" | | 1 | "Aurora" | | 2 | "Isolde" | | 3 | "Rory" | | 4 | "Silas" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Thames" | | 3 | "London" |
| | globalScore | 1 | | windowScore | 1 | |
| 87.50% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 80 | | glossingSentenceCount | 2 | | matches | | 0 | "appeared sooner than she expected" | | 1 | "something between a sob and a gasp" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1323 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 184 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 70 | | mean | 18.9 | | std | 17.02 | | cv | 0.9 | | sampleLengths | | 0 | 38 | | 1 | 5 | | 2 | 65 | | 3 | 10 | | 4 | 35 | | 5 | 1 | | 6 | 40 | | 7 | 57 | | 8 | 7 | | 9 | 39 | | 10 | 2 | | 11 | 32 | | 12 | 3 | | 13 | 40 | | 14 | 10 | | 15 | 2 | | 16 | 51 | | 17 | 4 | | 18 | 4 | | 19 | 40 | | 20 | 2 | | 21 | 1 | | 22 | 20 | | 23 | 2 | | 24 | 4 | | 25 | 28 | | 26 | 3 | | 27 | 35 | | 28 | 7 | | 29 | 20 | | 30 | 28 | | 31 | 14 | | 32 | 3 | | 33 | 37 | | 34 | 3 | | 35 | 10 | | 36 | 37 | | 37 | 9 | | 38 | 7 | | 39 | 27 | | 40 | 4 | | 41 | 33 | | 42 | 18 | | 43 | 5 | | 44 | 29 | | 45 | 29 | | 46 | 9 | | 47 | 4 | | 48 | 32 | | 49 | 23 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 179 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 231 | | matches | | 0 | "wasn’t laughing" | | 1 | "were greeting" | | 2 | "was being" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 184 | | ratio | 0.011 | | matches | | 0 | "The park’s usual night sounds — distant traffic, rustling leaves, the occasional fox’s bark — had all vanished." | | 1 | "The woman — the thing — tilted its head, a gesture of curiosity, and took a step forward." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1274 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 45 | | adverbRatio | 0.03532182103610675 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.004709576138147566 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 184 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 184 | | mean | 7.19 | | std | 5.98 | | cv | 0.832 | | sampleLengths | | 0 | 12 | | 1 | 26 | | 2 | 5 | | 3 | 7 | | 4 | 4 | | 5 | 4 | | 6 | 19 | | 7 | 15 | | 8 | 3 | | 9 | 13 | | 10 | 6 | | 11 | 4 | | 12 | 12 | | 13 | 8 | | 14 | 4 | | 15 | 2 | | 16 | 2 | | 17 | 7 | | 18 | 1 | | 19 | 20 | | 20 | 11 | | 21 | 2 | | 22 | 2 | | 23 | 5 | | 24 | 14 | | 25 | 25 | | 26 | 5 | | 27 | 4 | | 28 | 9 | | 29 | 7 | | 30 | 13 | | 31 | 14 | | 32 | 6 | | 33 | 4 | | 34 | 2 | | 35 | 2 | | 36 | 10 | | 37 | 14 | | 38 | 5 | | 39 | 3 | | 40 | 3 | | 41 | 3 | | 42 | 16 | | 43 | 6 | | 44 | 15 | | 45 | 3 | | 46 | 3 | | 47 | 4 | | 48 | 2 | | 49 | 6 |
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| 49.64% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 22 | | diversityRatio | 0.3695652173913043 | | totalSentences | 184 | | uniqueOpeners | 68 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 142 | | matches | | 0 | "Just the standing stones, dark" | | 1 | "Just the treeline, still and" | | 2 | "Just the night, holding its" | | 3 | "Too cold for anything alive." | | 4 | "Then she saw the eyes." |
| | ratio | 0.035 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 42 | | totalSentences | 142 | | matches | | 0 | "She’d been standing at the" | | 1 | "She shoved it down." | | 2 | "She wasn’t laughing now." | | 3 | "She checked her phone." | | 4 | "She slipped through a gap" | | 5 | "She’d mapped the route in" | | 6 | "She touched it through her" | | 7 | "They shouldn’t have been blooming." | | 8 | "It was November." | | 9 | "It thickened, grew honey-heavy, pushed" | | 10 | "She tasted copper on her" | | 11 | "She took another step." | | 12 | "She looked down and saw" | | 13 | "She exhaled, and her breath" | | 14 | "It was too cold for" | | 15 | "*I should leave.*" | | 16 | "Her feet had rooted themselves" | | 17 | "It came from behind the" | | 18 | "It was cold now." | | 19 | "She felt them before she" |
| | ratio | 0.296 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 101 | | totalSentences | 142 | | matches | | 0 | "The Heartstone pendant pressed against" | | 1 | "She’d been standing at the" | | 2 | "The question surfaced again, slippery" | | 3 | "She shoved it down." | | 4 | "The answer didn’t matter." | | 5 | "Eva had told her about" | | 6 | "*A threshold, Rory." | | 7 | "A place where the veil" | | 8 | "Aurora had laughed it off" | | 9 | "She wasn’t laughing now." | | 10 | "The park gates loomed ahead," | | 11 | "She checked her phone." | | 12 | "The screen flickered once, twice," | | 13 | "She slipped through a gap" | | 14 | "The grass on the other" | | 15 | "The grove sat deeper in," | | 16 | "She’d mapped the route in" | | 17 | "The stones appeared sooner than" | | 18 | "The Heartstone pulsed against her" | | 19 | "She touched it through her" |
| | ratio | 0.711 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 142 | | matches | (empty) | | ratio | 0 | |
| 31.75% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 45 | | technicalSentenceCount | 7 | | matches | | 0 | "The Heartstone pulsed against her chest, a slow rhythmic heat that matched her heartbeat." | | 1 | "Smelled wet earth and something floral, something that didn’t belong to any plant she knew." | | 2 | "Blue-veined and wrong, like marble that had learned to breathe." | | 3 | "The flowers reached for her ankles, snagging, tripping, and she fell forward, caught herself, kept moving." | | 4 | "The moon had disappeared, and the darkness was absolute, and she was lost, hopelessly lost, running through a forest that had forgotten its shape." | | 5 | "Something that had learned the shape of humor without understanding the warmth behind it." | | 6 | "She pressed it against her skin until it hurt, until the pain became something she could hold onto, something real in a world that had just tilted sideways." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 8 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 0 | | effectiveRatio | 0 | |