| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 12 | | tagDensity | 0.417 | | leniency | 0.833 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 93.96% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1657 | | 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) | |
| 66.81% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1657 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "weight" | | 1 | "warmth" | | 2 | "pulse" | | 3 | "could feel" | | 4 | "chill" | | 5 | "throbbed" | | 6 | "footsteps" | | 7 | "pulsed" | | 8 | "vibrated" |
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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 | 208 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 208 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 215 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 26 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1655 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 51.48% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 56 | | wordCount | 1624 | | uniqueNames | 10 | | maxNameDensity | 1.97 | | worstName | "Aurora" | | maxWindowNameDensity | 3 | | worstWindowName | "Aurora" | | discoveredNames | | Richmond | 1 | | Park | 1 | | Aurora | 32 | | Heartstone | 4 | | Grove | 1 | | Eva | 11 | | Silas | 1 | | Welsh | 1 | | Rory | 1 | | One | 3 |
| | persons | | 0 | "Aurora" | | 1 | "Eva" | | 2 | "Silas" | | 3 | "Rory" | | 4 | "One" |
| | places | | | globalScore | 0.515 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 124 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1655 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 215 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 140 | | mean | 11.82 | | std | 12.81 | | cv | 1.084 | | sampleLengths | | 0 | 9 | | 1 | 48 | | 2 | 14 | | 3 | 3 | | 4 | 43 | | 5 | 2 | | 6 | 15 | | 7 | 51 | | 8 | 12 | | 9 | 6 | | 10 | 6 | | 11 | 1 | | 12 | 2 | | 13 | 32 | | 14 | 31 | | 15 | 5 | | 16 | 1 | | 17 | 5 | | 18 | 6 | | 19 | 21 | | 20 | 6 | | 21 | 2 | | 22 | 33 | | 23 | 59 | | 24 | 6 | | 25 | 2 | | 26 | 2 | | 27 | 31 | | 28 | 7 | | 29 | 6 | | 30 | 17 | | 31 | 4 | | 32 | 4 | | 33 | 6 | | 34 | 37 | | 35 | 6 | | 36 | 39 | | 37 | 9 | | 38 | 20 | | 39 | 2 | | 40 | 3 | | 41 | 6 | | 42 | 21 | | 43 | 3 | | 44 | 5 | | 45 | 21 | | 46 | 3 | | 47 | 13 | | 48 | 48 | | 49 | 5 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 208 | | matches | | 0 | "been crushed" | | 1 | "been blurred" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 267 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 215 | | ratio | 0.005 | | matches | | 0 | "The last sound from the park—a fox barking somewhere beyond the road—cut off behind her." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1633 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 50 | | adverbRatio | 0.03061849357011635 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.004898958971218616 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 215 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 215 | | mean | 7.7 | | std | 5.43 | | cv | 0.706 | | sampleLengths | | 0 | 9 | | 1 | 23 | | 2 | 4 | | 3 | 21 | | 4 | 3 | | 5 | 6 | | 6 | 5 | | 7 | 3 | | 8 | 8 | | 9 | 9 | | 10 | 26 | | 11 | 2 | | 12 | 15 | | 13 | 7 | | 14 | 19 | | 15 | 12 | | 16 | 13 | | 17 | 3 | | 18 | 9 | | 19 | 6 | | 20 | 6 | | 21 | 1 | | 22 | 2 | | 23 | 15 | | 24 | 9 | | 25 | 8 | | 26 | 14 | | 27 | 5 | | 28 | 2 | | 29 | 10 | | 30 | 5 | | 31 | 1 | | 32 | 5 | | 33 | 3 | | 34 | 3 | | 35 | 6 | | 36 | 15 | | 37 | 6 | | 38 | 2 | | 39 | 4 | | 40 | 13 | | 41 | 2 | | 42 | 2 | | 43 | 12 | | 44 | 20 | | 45 | 13 | | 46 | 26 | | 47 | 6 | | 48 | 2 | | 49 | 2 |
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| 42.02% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 17 | | diversityRatio | 0.20657276995305165 | | totalSentences | 213 | | uniqueOpeners | 44 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 6 | | totalSentences | 182 | | matches | | 0 | "Only the clearing." | | 1 | "Somewhere inside that dark, water" | | 2 | "Then something rustled behind her," | | 3 | "Then a pale hand passed" | | 4 | "Then the flower slowly lifted" | | 5 | "Then the distortion closed." |
| | ratio | 0.033 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 47 | | totalSentences | 182 | | matches | | 0 | "They bloomed in the darkness" | | 1 | "She touched the pendant beneath" | | 2 | "Its deep crimson centre gave" | | 3 | "Her voice travelled across the" | | 4 | "It returned from somewhere behind" | | 5 | "Their branches knitted overhead, black" | | 6 | "Her hand slid into the" | | 7 | "She tapped the screen again." | | 8 | "It hovered beside her face," | | 9 | "She shifted her weight." | | 10 | "They simply returned to their" | | 11 | "Its warmth pressed against her" | | 12 | "She followed it towards the" | | 13 | "Their stems bent away in" | | 14 | "She caught it with the" | | 15 | "She looked directly at the" | | 16 | "Her breath clouded in front" | | 17 | "She could feel the chill" | | 18 | "Her left wrist throbbed beneath" | | 19 | "She took out her phone." |
| | ratio | 0.258 | |
| 61.65% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 145 | | totalSentences | 182 | | matches | | 0 | "Aurora crossed between the standing" | | 1 | "The stones rose from the" | | 2 | "Moonlight silvered the bark." | | 3 | "The gaps between them looked" | | 4 | "Wildflowers covered the ground in" | | 5 | "They bloomed in the darkness" | | 6 | "The last sound from the" | | 7 | "She touched the pendant beneath" | | 8 | "The silver chain had tangled" | | 9 | "Its deep crimson centre gave" | | 10 | "Her voice travelled across the" | | 11 | "It returned from somewhere behind" | | 12 | "The standing stones marked the" | | 13 | "The oak pillars curved together" | | 14 | "Their branches knitted overhead, black" | | 15 | "Her hand slid into the" | | 16 | "The screen showed 11:47 p.m." | | 17 | "The battery had dropped from" | | 18 | "She tapped the screen again." | | 19 | "The time had not moved." |
| | ratio | 0.797 | |
| 82.42% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 182 | | matches | | 0 | "Now the Heartstone rested against" | | 1 | "Now the trees stood far" | | 2 | "If the pendant warms, you’re" |
| | ratio | 0.016 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 53 | | technicalSentenceCount | 2 | | matches | | 0 | "Her left wrist throbbed beneath its sleeve, the old crescent scar prickling as if a thread had caught beneath the skin." | | 1 | "It began as Eva’s laugh, then stretched into a wet, breathless sound that belonged to no human throat." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 3 | | fancyTags | | 0 | "she muttered (mutter)" | | 1 | "she whispered (whisper)" | | 2 | "she murmured (murmur)" |
| | dialogueSentences | 12 | | tagDensity | 0.417 | | leniency | 0.833 | | rawRatio | 0.6 | | effectiveRatio | 0.5 | |