| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 14 | | tagDensity | 0.429 | | leniency | 0.857 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1016 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 45.87% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1016 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "silence" | | 1 | "pulsed" | | 2 | "echo" | | 3 | "flickered" | | 4 | "warmth" | | 5 | "throbbed" | | 6 | "racing" | | 7 | "weight" | | 8 | "pulse" |
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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 | 1 | | narrationSentences | 87 | | matches | | |
| 93.60% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 1 | | narrationSentences | 87 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 95 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 36 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 7 | | markdownWords | 32 | | totalWords | 1022 | | ratio | 0.031 | | matches | | 0 | "Richmond Park. The oaks. Midnight. Come alone." | | 1 | "Here," | | 2 | "Here," | | 3 | "Here," | | 4 | "Aurora," | | 5 | "We've waited," | | 6 | "The stone called and the stone came. Come closer, Aurora. Let us see the face that carries Dymas' heart." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 14 | | wordCount | 970 | | uniqueNames | 6 | | maxNameDensity | 0.62 | | worstName | "Eva" | | maxWindowNameDensity | 2 | | worstWindowName | "Eva" | | discoveredNames | | Rory | 4 | | Eva | 6 | | Park | 1 | | Foolish | 1 | | October | 1 | | Jennifer | 1 |
| | persons | | | places | | | globalScore | 1 | | windowScore | 1 | |
| 62.28% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 57 | | glossingSentenceCount | 2 | | matches | | 0 | "quite name — blues that slid toward violet, reds that pulsed like something alive" | | 1 | "sounded like it was learning to" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.978 | | wordCount | 1022 | | matches | | 0 | "Not the gentle warmth from her walk through the park but a real heat, the crimson stone glowing through the cotton of" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 95 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 38 | | mean | 26.89 | | std | 22.31 | | cv | 0.83 | | sampleLengths | | 0 | 31 | | 1 | 67 | | 2 | 65 | | 3 | 1 | | 4 | 15 | | 5 | 38 | | 6 | 24 | | 7 | 6 | | 8 | 43 | | 9 | 53 | | 10 | 9 | | 11 | 17 | | 12 | 5 | | 13 | 72 | | 14 | 1 | | 15 | 57 | | 16 | 17 | | 17 | 40 | | 18 | 8 | | 19 | 8 | | 20 | 3 | | 21 | 69 | | 22 | 21 | | 23 | 4 | | 24 | 7 | | 25 | 16 | | 26 | 23 | | 27 | 3 | | 28 | 71 | | 29 | 16 | | 30 | 4 | | 31 | 47 | | 32 | 3 | | 33 | 39 | | 34 | 37 | | 35 | 39 | | 36 | 23 | | 37 | 20 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 87 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 163 | | matches | | 0 | "was racing" | | 1 | "was learning" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 95 | | ratio | 0.063 | | matches | | 0 | "Wildflowers spread across the grass in colours her torch couldn't quite name — blues that slid toward violet, reds that pulsed like something alive." | | 1 | "Not hers — hers was racing." | | 2 | "Her shoulder met one of the standing stones and she gasped — it was warm too, warm as flesh, and when she jerked away she could have sworn the bark beneath her hand had given like skin." | | 3 | "Light, musical, a woman's laugh — and so much like Eva's that her chest seized." | | 4 | "Not flickered — died, full black, and the dark that rushed in wasn't the dark of a park at night." | | 5 | "She bit down on a cry and the light surged, pushing the red ring wider — and in the half second before it settled, the expanded glow caught the shape standing in front of her." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 967 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 29 | | adverbRatio | 0.02998965873836608 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.007238883143743537 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 95 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 95 | | mean | 10.76 | | std | 9.36 | | cv | 0.87 | | sampleLengths | | 0 | 31 | | 1 | 4 | | 2 | 30 | | 3 | 2 | | 4 | 1 | | 5 | 6 | | 6 | 3 | | 7 | 21 | | 8 | 8 | | 9 | 11 | | 10 | 24 | | 11 | 22 | | 12 | 1 | | 13 | 7 | | 14 | 2 | | 15 | 6 | | 16 | 14 | | 17 | 24 | | 18 | 7 | | 19 | 1 | | 20 | 16 | | 21 | 6 | | 22 | 4 | | 23 | 4 | | 24 | 16 | | 25 | 4 | | 26 | 7 | | 27 | 8 | | 28 | 4 | | 29 | 31 | | 30 | 8 | | 31 | 10 | | 32 | 3 | | 33 | 6 | | 34 | 6 | | 35 | 1 | | 36 | 10 | | 37 | 5 | | 38 | 6 | | 39 | 17 | | 40 | 2 | | 41 | 24 | | 42 | 4 | | 43 | 19 | | 44 | 1 | | 45 | 7 | | 46 | 15 | | 47 | 35 | | 48 | 3 | | 49 | 4 |
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| 67.37% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.4421052631578947 | | totalSentences | 95 | | uniqueOpeners | 42 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 74 | | matches | | 0 | "Then she blinked and it" | | 1 | "Light, musical, a woman's laugh" | | 2 | "Just the grove and the" | | 3 | "Directly ahead of her, just" | | 4 | "Then the dark folded back" |
| | ratio | 0.068 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 22 | | totalSentences | 74 | | matches | | 0 | "She'd come for answers." | | 1 | "She knew that." | | 2 | "She'd read about places like" | | 3 | "Her voice fell flat against" | | 4 | "She'd shouted across enough empty" | | 5 | "She checked her phone." | | 6 | "She stared at the number" | | 7 | "She pulled it loose and" | | 8 | "She turned the torch toward" | | 9 | "She was not alone." | | 10 | "She'd stopped being alone some" | | 11 | "Her shoulder met one of" | | 12 | "She turned for the gap" | | 13 | "It wasn't there." | | 14 | "She spun, torch wheeling, counting" | | 15 | "She was sure." | | 16 | "it said, from the right," | | 17 | "It sounded like it was" | | 18 | "She felt the air of" | | 19 | "She hadn't given her name." |
| | ratio | 0.297 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 50 | | totalSentences | 74 | | matches | | 0 | "The standing stones leaned toward" | | 1 | "She'd come for answers." | | 2 | "The pendant against her sternum" | | 3 | "She knew that." | | 4 | "Wildflowers spread across the grass" | | 5 | "She'd read about places like" | | 6 | "Her voice fell flat against" | | 7 | "That was the first wrong" | | 8 | "She'd shouted across enough empty" | | 9 | "Here it simply stopped, swallowed" | | 10 | "Rory swept the torch across" | | 11 | "Grass and flowers and the" | | 12 | "She checked her phone." | | 13 | "The clock read 11:58." | | 14 | "The torch flickered, steadied." | | 15 | "She stared at the number" | | 16 | "The pendant burned now." | | 17 | "She pulled it loose and" | | 18 | "The inner light throbbed in" | | 19 | "A sound came from the" |
| | ratio | 0.676 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 74 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 34 | | technicalSentenceCount | 1 | | matches | | 0 | "A line ran between the closed and the open, and the line was moving toward her, flower by flower folding shut, as though something walked across the grass and t…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 78.57% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 1 | | fancyTags | | 0 | "she breathed (breathe)" |
| | dialogueSentences | 14 | | tagDensity | 0.429 | | leniency | 0.857 | | rawRatio | 0.167 | | effectiveRatio | 0.143 | |