| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 2 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 88.41% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 863 | | 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 863 | | totalAiIsms | 25 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | word | "down her spine" | | count | 1 |
| | 14 | | | 15 | |
| | highlights | | 0 | "chill" | | 1 | "familiar" | | 2 | "footsteps" | | 3 | "flickered" | | 4 | "quickened" | | 5 | "gloom" | | 6 | "warmth" | | 7 | "pounding" | | 8 | "silence" | | 9 | "pulse" | | 10 | "flicker" | | 11 | "furrowing" | | 12 | "pulsed" | | 13 | "down her spine" | | 14 | "comforting" | | 15 | "raced" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 0 | | maxInWindow | 0 | | found | (empty) | | highlights | (empty) | |
| 84.68% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 3 | | narrationSentences | 62 | | matches | | 0 | "d with unease" | | 1 | "a surge of hope" | | 2 | "g in horror" |
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| 50.69% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 4 | | narrationSentences | 62 | | filterMatches | (empty) | | hedgeMatches | | 0 | "seemed to" | | 1 | "appeared to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 63 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 26 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 866 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 62.99% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 19 | | wordCount | 862 | | uniqueNames | 5 | | maxNameDensity | 1.74 | | worstName | "Aurora" | | maxWindowNameDensity | 3 | | worstWindowName | "Aurora" | | discoveredNames | | Aurora | 15 | | Fae | 1 | | Grove | 1 | | Heartstone | 1 | | Silence | 1 |
| | persons | | | places | | | globalScore | 0.63 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 56 | | glossingSentenceCount | 1 | | matches | | 0 | "seemed relentless in its pursuit" |
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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 | 866 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 63 | | matches | | 0 | "followed, that something" |
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| 60.85% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 22 | | mean | 39.36 | | std | 14.29 | | cv | 0.363 | | sampleLengths | | 0 | 55 | | 1 | 58 | | 2 | 40 | | 3 | 30 | | 4 | 49 | | 5 | 40 | | 6 | 46 | | 7 | 31 | | 8 | 1 | | 9 | 45 | | 10 | 38 | | 11 | 44 | | 12 | 29 | | 13 | 45 | | 14 | 32 | | 15 | 57 | | 16 | 48 | | 17 | 44 | | 18 | 43 | | 19 | 37 | | 20 | 51 | | 21 | 3 |
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| 93.94% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 62 | | matches | | 0 | "was shrouded" | | 1 | "being followed" |
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| 70.13% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 154 | | matches | | 0 | "was heading" | | 1 | "was stalking" | | 2 | "were urging" |
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| 6.80% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 63 | | ratio | 0.048 | | matches | | 0 | "In that flickering light, Aurora caught a glimpse of the creature's face - if it could be called a face." | | 1 | "Up ahead, she saw a faint glimmer of light - the edge of the grove, she realized with a surge of hope." | | 2 | "But just as she neared the exit, a new sound reached her ears - a deep, rumbling growl, coming from directly in front of her." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 859 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 34 | | adverbRatio | 0.03958090803259604 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.011641443538998836 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 63 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 63 | | mean | 13.75 | | std | 5.93 | | cv | 0.431 | | sampleLengths | | 0 | 16 | | 1 | 20 | | 2 | 19 | | 3 | 15 | | 4 | 23 | | 5 | 20 | | 6 | 6 | | 7 | 14 | | 8 | 9 | | 9 | 4 | | 10 | 7 | | 11 | 12 | | 12 | 18 | | 13 | 19 | | 14 | 6 | | 15 | 24 | | 16 | 17 | | 17 | 9 | | 18 | 10 | | 19 | 4 | | 20 | 13 | | 21 | 15 | | 22 | 18 | | 23 | 11 | | 24 | 6 | | 25 | 11 | | 26 | 3 | | 27 | 1 | | 28 | 12 | | 29 | 18 | | 30 | 15 | | 31 | 6 | | 32 | 15 | | 33 | 17 | | 34 | 11 | | 35 | 12 | | 36 | 21 | | 37 | 5 | | 38 | 5 | | 39 | 13 | | 40 | 6 | | 41 | 10 | | 42 | 16 | | 43 | 19 | | 44 | 18 | | 45 | 14 | | 46 | 20 | | 47 | 15 | | 48 | 22 | | 49 | 16 |
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| 68.25% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.42857142857142855 | | totalSentences | 63 | | uniqueOpeners | 27 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 61 | | matches | | 0 | "All that mattered was getting" | | 1 | "Slowly, she turned her head," | | 2 | "Just endless, swallowing black." | | 3 | "Instinctively, her hand went to" |
| | ratio | 0.066 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 18 | | totalSentences | 61 | | matches | | 0 | "She pulled her worn leather" | | 1 | "Her footsteps crunched on the" | | 2 | "She shook her head, letting" | | 3 | "It didn't matter now." | | 4 | "She strained her eyes, trying" | | 5 | "Her eyes frantically searched the" | | 6 | "Her fingers curled around the" | | 7 | "she called out, cursing the" | | 8 | "She couldn't shake the feeling" | | 9 | "Her skin prickled with unease," | | 10 | "She took a cautious step" | | 11 | "She couldn't make out any" | | 12 | "It was a twisted, almost" | | 13 | "She turned and fled, her" | | 14 | "Her foot caught on a" | | 15 | "She knew she couldn't keep" | | 16 | "Her only hope was to" | | 17 | "She was trapped." |
| | ratio | 0.295 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 43 | | totalSentences | 61 | | matches | | 0 | "The chill night air nipped" | | 1 | "The familiar ancient oaks stood" | | 2 | "She pulled her worn leather" | | 3 | "Her footsteps crunched on the" | | 4 | "The grove was shrouded in" | | 5 | "Aurora paused, straining her ears," | | 6 | "The details of her earlier" | | 7 | "She shook her head, letting" | | 8 | "It didn't matter now." | | 9 | "The sooner she reached the" | | 10 | "Aurora's heartbeat quickened, her footsteps" | | 11 | "She strained her eyes, trying" | | 12 | "A twig snapped somewhere off" | | 13 | "Her eyes frantically searched the" | | 14 | "The air felt thick, almost" | | 15 | "Her fingers curled around the" | | 16 | "Another sound, this time a" | | 17 | "Aurora whirled around, her heart" | | 18 | "she called out, cursing the" | | 19 | "She couldn't shake the feeling" |
| | ratio | 0.705 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 61 | | matches | (empty) | | ratio | 0 | |
| 66.87% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 47 | | technicalSentenceCount | 5 | | matches | | 0 | "The grove was shrouded in moonlight, the muted silver glow casting long shadows that flickered and shifted at the edges of her vision." | | 1 | "She strained her eyes, trying to make out any landmarks, any sign that she was heading the right way, but the blackness was impenetrable." | | 2 | "Shaking her head, Aurora turned back and continued on, her pace quickening." | | 3 | "The pendant at her throat pulsed with a steady, comforting rhythm, as if it were urging her on." | | 4 | "Summoning the last of her strength, she pushed on, her lungs burning with the effort." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | 0 | "she called out (call out)" |
| | dialogueSentences | 2 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 1 | | effectiveRatio | 1 | |