| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 6 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 87.27% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1571 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "perfectly" | | 1 | "slowly" | | 2 | "loosely" |
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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) | |
| 58.63% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1571 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "pulsed" | | 1 | "familiar" | | 2 | "footsteps" | | 3 | "throbbed" | | 4 | "warmth" | | 5 | "pulse" | | 6 | "vibrated" | | 7 | "flickered" | | 8 | "fluttered" | | 9 | "footfall" |
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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 | 187 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 4 | | narrationSentences | 187 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 188 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 30 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1566 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 24 | | wordCount | 1550 | | uniqueNames | 4 | | maxNameDensity | 1.35 | | worstName | "Rory" | | maxWindowNameDensity | 3 | | worstWindowName | "Rory" | | discoveredNames | | | persons | | | places | | | globalScore | 0.823 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 119 | | glossingSentenceCount | 1 | | matches | | 0 | "pinprick that seemed to deepen when she faced the flat stone in the clearing" |
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| 72.29% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.277 | | wordCount | 1566 | | matches | | 0 | "Not the faint body-heat it sometimes held beneath her shirt, but a steady, insistent heat" | | 1 | "Not colder, exactly, but close" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 188 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 85 | | mean | 18.42 | | std | 17.74 | | cv | 0.963 | | sampleLengths | | 0 | 8 | | 1 | 63 | | 2 | 30 | | 3 | 5 | | 4 | 56 | | 5 | 6 | | 6 | 39 | | 7 | 4 | | 8 | 59 | | 9 | 6 | | 10 | 54 | | 11 | 43 | | 12 | 16 | | 13 | 6 | | 14 | 13 | | 15 | 9 | | 16 | 2 | | 17 | 7 | | 18 | 10 | | 19 | 9 | | 20 | 5 | | 21 | 54 | | 22 | 21 | | 23 | 28 | | 24 | 7 | | 25 | 7 | | 26 | 10 | | 27 | 10 | | 28 | 55 | | 29 | 8 | | 30 | 17 | | 31 | 9 | | 32 | 9 | | 33 | 26 | | 34 | 38 | | 35 | 10 | | 36 | 2 | | 37 | 3 | | 38 | 50 | | 39 | 4 | | 40 | 3 | | 41 | 3 | | 42 | 33 | | 43 | 13 | | 44 | 30 | | 45 | 7 | | 46 | 43 | | 47 | 1 | | 48 | 27 | | 49 | 8 |
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| 94.01% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 6 | | totalSentences | 187 | | matches | | 0 | "was silvered" | | 1 | "was gone" | | 2 | "was gone" | | 3 | "was gone" | | 4 | "was gone" | | 5 | "been gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 258 | | matches | | |
| 51.67% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 2 | | flaggedSentences | 6 | | totalSentences | 188 | | ratio | 0.032 | | matches | | 0 | "The silver chain slipped over her knuckles; the thumbnail-sized stone rested against her palm, deep crimson at its center." | | 1 | "The city was close enough that she ought to hear it—the low murmur of traffic, a siren, the distant grumble of a bus—but the night had swallowed everything." | | 2 | "Not colder, exactly, but close—like the inside of a crowded room after everyone had stopped talking." | | 3 | "The mind supplied faces where there were none; it was a trick as ordinary as seeing a rabbit in a cloud." | | 4 | "The voice—or whatever made the sound—was too soft to be coming from beyond the trees." | | 5 | "She turned and found herself facing the first ring of trees again—the one she had entered through." |
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| 72.50% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 56 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 4 | | adverbRatio | 0.07142857142857142 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.017857142857142856 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 188 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 188 | | mean | 8.33 | | std | 5.4 | | cv | 0.649 | | sampleLengths | | 0 | 8 | | 1 | 3 | | 2 | 23 | | 3 | 27 | | 4 | 10 | | 5 | 6 | | 6 | 24 | | 7 | 5 | | 8 | 16 | | 9 | 21 | | 10 | 19 | | 11 | 6 | | 12 | 4 | | 13 | 19 | | 14 | 8 | | 15 | 5 | | 16 | 3 | | 17 | 4 | | 18 | 5 | | 19 | 15 | | 20 | 7 | | 21 | 18 | | 22 | 14 | | 23 | 3 | | 24 | 3 | | 25 | 10 | | 26 | 11 | | 27 | 28 | | 28 | 5 | | 29 | 5 | | 30 | 11 | | 31 | 3 | | 32 | 9 | | 33 | 15 | | 34 | 11 | | 35 | 5 | | 36 | 6 | | 37 | 3 | | 38 | 10 | | 39 | 2 | | 40 | 7 | | 41 | 2 | | 42 | 7 | | 43 | 10 | | 44 | 4 | | 45 | 5 | | 46 | 5 | | 47 | 9 | | 48 | 21 | | 49 | 8 |
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| 43.48% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.20108695652173914 | | totalSentences | 184 | | uniqueOpeners | 37 | |
| 78.43% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 170 | | matches | | 0 | "Instead, she had followed it." | | 1 | "Even the wind had stopped." | | 2 | "Only trunks and shadow." | | 3 | "Then she ran hard, branches" |
| | ratio | 0.024 | |
| 83.53% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 58 | | totalSentences | 170 | | matches | | 0 | "She had sat up in" | | 1 | "She could have put it" | | 2 | "She could have told herself" | | 3 | "She stood before a ring" | | 4 | "She turned toward the oaks." | | 5 | "Her phone showed no signal." | | 6 | "She tapped the screen anyway," | | 7 | "Her left wrist showed its" | | 8 | "She was alone." | | 9 | "She had checked." | | 10 | "She had come to find" | | 11 | "She stepped between two trunks." | | 12 | "she said, and heard how" | | 13 | "She crossed into the clearing." | | 14 | "They should have been sleeping" | | 15 | "Her thumb hovered over the" | | 16 | "She opened the photograph." | | 17 | "Her eyes searched the places" | | 18 | "She told herself the flash" | | 19 | "She took a step toward" |
| | ratio | 0.341 | |
| 62.94% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 135 | | totalSentences | 170 | | matches | | 0 | "Rory had come because the" | | 1 | "She had sat up in" | | 2 | "The pendant had pulsed against" | | 3 | "She could have put it" | | 4 | "She could have told herself" | | 5 | "She stood before a ring" | | 6 | "The pendant burned through her" | | 7 | "Rory pulled it free." | | 8 | "The silver chain slipped over" | | 9 | "A faint light seemed to" | | 10 | "She turned toward the oaks." | | 11 | "The glow strengthened." | | 12 | "Her phone showed no signal." | | 13 | "The map app had frozen" | | 14 | "She tapped the screen anyway," | | 15 | "The white glow caught her" | | 16 | "Her left wrist showed its" | | 17 | "She was alone." | | 18 | "She had checked." | | 19 | "A bicycle path ran behind" |
| | ratio | 0.794 | |
| 58.82% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 170 | | matches | | 0 | "Now Richmond Park spread black" | | 1 | "If she found nothing, she" |
| | ratio | 0.012 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 59 | | technicalSentenceCount | 2 | | matches | | 0 | "Not the faint body-heat it sometimes held beneath her shirt, but a steady, insistent heat that had woken her at half past midnight." | | 1 | "The stone’s inner glow was brighter now, a red pinprick that seemed to deepen when she faced the flat stone in the clearing." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 50.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 1 | | fancyTags | | 0 | "she whispered (whisper)" |
| | dialogueSentences | 6 | | tagDensity | 0.833 | | leniency | 1 | | rawRatio | 0.2 | | effectiveRatio | 0.2 | |