| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 10 | | tagDensity | 0.3 | | leniency | 0.6 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.26% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1336 | | 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) | |
| 73.80% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1336 | | totalAiIsms | 7 | | found | | | highlights | | |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 190 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 190 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 197 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1338 | | ratio | 0 | | matches | (empty) | |
| 62.50% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 1 | | matches | | 0 | "Moonlight, she told herself, though the moon sat behind cloud." |
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| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 29 | | wordCount | 1296 | | uniqueNames | 12 | | maxNameDensity | 0.62 | | worstName | "Rory" | | maxWindowNameDensity | 1 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 8 | | Richmond | 3 | | Roehampton | 2 | | Park | 2 | | Grove | 1 | | Pen | 1 | | Ponds | 1 | | Eva | 1 | | February | 1 | | One | 3 | | Close | 3 | | Slow | 3 |
| | persons | | 0 | "Rory" | | 1 | "Grove" | | 2 | "Eva" | | 3 | "One" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "February" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 77 | | 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 | 1338 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 197 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 59 | | mean | 22.68 | | std | 21.63 | | cv | 0.954 | | sampleLengths | | 0 | 11 | | 1 | 64 | | 2 | 14 | | 3 | 45 | | 4 | 3 | | 5 | 73 | | 6 | 6 | | 7 | 13 | | 8 | 3 | | 9 | 62 | | 10 | 64 | | 11 | 3 | | 12 | 3 | | 13 | 4 | | 14 | 40 | | 15 | 38 | | 16 | 5 | | 17 | 50 | | 18 | 11 | | 19 | 53 | | 20 | 2 | | 21 | 4 | | 22 | 27 | | 23 | 2 | | 24 | 14 | | 25 | 27 | | 26 | 12 | | 27 | 49 | | 28 | 7 | | 29 | 17 | | 30 | 63 | | 31 | 6 | | 32 | 39 | | 33 | 47 | | 34 | 3 | | 35 | 25 | | 36 | 53 | | 37 | 3 | | 38 | 5 | | 39 | 40 | | 40 | 8 | | 41 | 12 | | 42 | 44 | | 43 | 5 | | 44 | 3 | | 45 | 5 | | 46 | 75 | | 47 | 12 | | 48 | 29 | | 49 | 6 |
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| 99.72% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 190 | | matches | | 0 | "were padlocked" | | 1 | "was gone" | | 2 | "being fastened" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 214 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 197 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1299 | | adjectiveStacks | 1 | | stackExamples | | 0 | "pale trumpet-shaped flowers" |
| | adverbCount | 41 | | adverbRatio | 0.03156274056966898 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.0007698229407236335 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 197 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 197 | | mean | 6.79 | | std | 5.94 | | cv | 0.875 | | sampleLengths | | 0 | 11 | | 1 | 23 | | 2 | 4 | | 3 | 21 | | 4 | 4 | | 5 | 12 | | 6 | 4 | | 7 | 7 | | 8 | 3 | | 9 | 6 | | 10 | 3 | | 11 | 8 | | 12 | 13 | | 13 | 2 | | 14 | 13 | | 15 | 3 | | 16 | 15 | | 17 | 13 | | 18 | 7 | | 19 | 9 | | 20 | 29 | | 21 | 3 | | 22 | 3 | | 23 | 3 | | 24 | 9 | | 25 | 1 | | 26 | 3 | | 27 | 10 | | 28 | 13 | | 29 | 13 | | 30 | 4 | | 31 | 11 | | 32 | 1 | | 33 | 5 | | 34 | 5 | | 35 | 7 | | 36 | 1 | | 37 | 2 | | 38 | 7 | | 39 | 9 | | 40 | 10 | | 41 | 11 | | 42 | 17 | | 43 | 3 | | 44 | 3 | | 45 | 4 | | 46 | 7 | | 47 | 4 | | 48 | 8 | | 49 | 11 |
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| 52.62% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 18 | | diversityRatio | 0.37055837563451777 | | totalSentences | 197 | | uniqueOpeners | 73 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 10 | | totalSentences | 146 | | matches | | 0 | "Somewhere left of her, bracken" | | 1 | "Then the trees." | | 2 | "Just grass, and the dark" | | 3 | "Just a tug at the" | | 4 | "Just the six oaks in" | | 5 | "Just behind her left shoulder." | | 6 | "Then she saw it." | | 7 | "Too small, or too large." | | 8 | "Then she ran." | | 9 | "Too many joints, bending where" |
| | ratio | 0.068 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 35 | | totalSentences | 146 | | matches | | 0 | "She couldn't remember which." | | 1 | "She climbed through, coat snagging" | | 2 | "Her phone read 11:47." | | 3 | "She pocketed it." | | 4 | "She waited for hooves, for" | | 5 | "She kept walking." | | 6 | "She'd been twice before, once" | | 7 | "Her voice sounded thin in" | | 8 | "They rose ahead, shapes she" | | 9 | "She walked toward it and" | | 10 | "She stopped at the boundary." | | 11 | "They gave off a faint" | | 12 | "She felt it on her" | | 13 | "She'd heard it on the" | | 14 | "She heard them." | | 15 | "She did not feel them." | | 16 | "She turned a slow circle." | | 17 | "She lifted it clear of" | | 18 | "She stood with the pendant" | | 19 | "She counted to ten." |
| | ratio | 0.24 | |
| 90.14% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 108 | | totalSentences | 146 | | matches | | 0 | "The pendant warmed against Rory's" | | 1 | "The gates were padlocked." | | 2 | "A maintenance gap in the" | | 3 | "She couldn't remember which." | | 4 | "She climbed through, coat snagging" | | 5 | "Her phone read 11:47." | | 6 | "The screen lit her face," | | 7 | "She pocketed it." | | 8 | "Deer, most likely." | | 9 | "Richmond Park at night ran" | | 10 | "She waited for hooves, for" | | 11 | "The bracken went on shaking" | | 12 | "She kept walking." | | 13 | "The Grove sat in a" | | 14 | "She'd been twice before, once" | | 15 | "Wildflowers had carpeted the ground" | | 16 | "The air had tasted of" | | 17 | "The six standing stones at" | | 18 | "The pendant pulsed." | | 19 | "Her voice sounded thin in" |
| | ratio | 0.74 | |
| 34.25% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 146 | | matches | | 0 | "Now the wind was gone," |
| | ratio | 0.007 | |
| 80.75% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 46 | | technicalSentenceCount | 4 | | matches | | 0 | "The ones at the edge of the ring swayed as if a breeze passed through, though nothing touched her hair, her coat, her face." | | 1 | "Hard, sudden, a gust that threw her hair across her face and stung her eyes." | | 2 | "The pale trumpet-shaped flowers dissolved into white dust that hung in the air and did not fall." | | 3 | "Close enough for the wet of the moss under each one, the slight drag between them, the long slow breath that wasn't hers." |
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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 | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 10 | | tagDensity | 0.1 | | leniency | 0.2 | | rawRatio | 0 | | effectiveRatio | 0 | |