| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 1 | | adverbTags | | 0 | "she said quietly [quietly]" |
| | dialogueSentences | 3 | | tagDensity | 0.667 | | leniency | 1 | | rawRatio | 0.5 | | effectiveRatio | 0.5 | |
| 71.78% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 886 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "completely" | | 1 | "carefully" | | 2 | "slowly" | | 3 | "very" | | 4 | "softly" |
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| 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) | |
| 77.43% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 886 | | totalAiIsms | 4 | | found | | | highlights | | 0 | "pulse" | | 1 | "warmth" | | 2 | "flickered" |
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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 | 81 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 81 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 82 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 41 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 3 | | markdownWords | 13 | | totalWords | 886 | | ratio | 0.015 | | matches | | 0 | "Near a portal" | | 1 | "It will know when you're close." | | 2 | "Think first. Then move." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 10 | | wordCount | 881 | | uniqueNames | 7 | | maxNameDensity | 0.45 | | worstName | "Rory" | | maxWindowNameDensity | 1 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 4 | | November | 1 | | June | 1 | | Richmond | 1 | | Park | 1 | | Pen | 1 | | Ponds | 1 |
| | persons | | | places | | | globalScore | 1 | | windowScore | 1 | |
| 55.66% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 53 | | glossingSentenceCount | 2 | | matches | | 0 | "sounded like" | | 1 | "felt like a relief" |
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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 | 886 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 82 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 25 | | mean | 35.44 | | std | 28.53 | | cv | 0.805 | | sampleLengths | | 0 | 70 | | 1 | 13 | | 2 | 67 | | 3 | 66 | | 4 | 13 | | 5 | 15 | | 6 | 78 | | 7 | 18 | | 8 | 7 | | 9 | 62 | | 10 | 5 | | 11 | 38 | | 12 | 43 | | 13 | 3 | | 14 | 67 | | 15 | 4 | | 16 | 29 | | 17 | 96 | | 18 | 6 | | 19 | 3 | | 20 | 71 | | 21 | 53 | | 22 | 31 | | 23 | 14 | | 24 | 14 |
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| 92.27% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 81 | | matches | | 0 | "been locked" | | 1 | "been caught" | | 2 | "was gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 145 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 82 | | ratio | 0 | | matches | (empty) | |
| 92.44% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 884 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 43 | | adverbRatio | 0.048642533936651584 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.013574660633484163 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 82 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 82 | | mean | 10.8 | | std | 9.2 | | cv | 0.852 | | sampleLengths | | 0 | 29 | | 1 | 41 | | 2 | 2 | | 3 | 6 | | 4 | 5 | | 5 | 5 | | 6 | 37 | | 7 | 15 | | 8 | 3 | | 9 | 7 | | 10 | 7 | | 11 | 22 | | 12 | 15 | | 13 | 22 | | 14 | 7 | | 15 | 6 | | 16 | 4 | | 17 | 8 | | 18 | 3 | | 19 | 8 | | 20 | 27 | | 21 | 13 | | 22 | 7 | | 23 | 23 | | 24 | 5 | | 25 | 6 | | 26 | 1 | | 27 | 6 | | 28 | 7 | | 29 | 3 | | 30 | 19 | | 31 | 1 | | 32 | 4 | | 33 | 1 | | 34 | 1 | | 35 | 14 | | 36 | 19 | | 37 | 5 | | 38 | 5 | | 39 | 16 | | 40 | 7 | | 41 | 5 | | 42 | 5 | | 43 | 6 | | 44 | 14 | | 45 | 4 | | 46 | 19 | | 47 | 3 | | 48 | 3 | | 49 | 2 |
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| 61.38% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.4268292682926829 | | totalSentences | 82 | | uniqueOpeners | 35 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 73 | | matches | | 0 | "Then she heard it again," | | 1 | "Then, from somewhere deep among" | | 2 | "Then move.* She thought." | | 3 | "Only for a moment, a" |
| | ratio | 0.055 | |
| 55.62% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 30 | | totalSentences | 73 | | matches | | 0 | "She slipped through with her" | | 1 | "She switched the torch on." | | 2 | "She had counted them from" | | 3 | "She pulled the silver chain" | | 4 | "It gave off its faint" | | 5 | "*It will know when you're" | | 6 | "she said quietly" | | 7 | "Her voice sounded flat, swallowed" | | 8 | "She walked toward the centre" | | 9 | "Her boots pressed into moss" | | 10 | "It was the second week" | | 11 | "She crouched and touched one." | | 12 | "She waited, one hand flat" | | 13 | "She counted her breaths." | | 14 | "It was a footstep, placed" | | 15 | "She stood slowly and turned." | | 16 | "She swept the beam left," | | 17 | "It might have been a" | | 18 | "She took one step back" | | 19 | "Her boots made no sound" |
| | ratio | 0.411 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 51 | | totalSentences | 73 | | matches | | 0 | "The gate had been locked" | | 1 | "She slipped through with her" | | 2 | "She switched the torch on." | | 3 | "The beam cut a white" | | 4 | "She had counted them from" | | 5 | "The pendant under her jumper" | | 6 | "She pulled the silver chain" | | 7 | "It gave off its faint" | | 8 | "*It will know when you're" | | 9 | "she said quietly" | | 10 | "Her voice sounded flat, swallowed" | | 11 | "She walked toward the centre" | | 12 | "Her boots pressed into moss" | | 13 | "Bluebells, pale foxgloves, a drift" | | 14 | "It was the second week" | | 15 | "Every petal was fully open," | | 16 | "She crouched and touched one." | | 17 | "The petal was cold and" | | 18 | "That was almost the worst" | | 19 | "Rory went still." |
| | ratio | 0.699 | |
| 68.49% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 73 | | matches | | 0 | "Now a seventh stood at" |
| | ratio | 0.014 | |
| 71.43% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 30 | | technicalSentenceCount | 3 | | matches | | 0 | "Between them stood the standing stones, grey and lichen-scabbed, leaning at angles that looked deliberate." | | 1 | "Her heartbeat had found a rhythm that matched the pendant's pulse, quick and hard." | | 2 | "Something pale, upright, the height of a person, slipping from one trunk to the next in a way that did not look like walking." |
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| 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 | 2 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 3 | | tagDensity | 0.667 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |