| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 3 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.90% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1612 | | 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) | |
| 59.68% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1612 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "warmth" | | 1 | "flickered" | | 2 | "pulse" | | 3 | "silence" | | 4 | "echo" | | 5 | "could feel" | | 6 | "familiar" | | 7 | "stomach" | | 8 | "whisper" | | 9 | "footsteps" |
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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 | 208 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 208 | | filterMatches | (empty) | | hedgeMatches | | 0 | "seemed to" | | 1 | "started to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 210 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 25 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1611 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 0 | | matches | (empty) | |
| 93.93% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 24 | | wordCount | 1605 | | uniqueNames | 5 | | maxNameDensity | 1.12 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 18 | | Richmond | 1 | | Park | 1 | | Hel | 1 | | One | 3 |
| | persons | | | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Hel" | | 3 | "One" |
| | globalScore | 0.939 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 120 | | 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 | 1611 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 210 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 84 | | mean | 19.18 | | std | 17.62 | | cv | 0.919 | | sampleLengths | | 0 | 18 | | 1 | 45 | | 2 | 11 | | 3 | 78 | | 4 | 32 | | 5 | 13 | | 6 | 58 | | 7 | 7 | | 8 | 2 | | 9 | 16 | | 10 | 32 | | 11 | 2 | | 12 | 21 | | 13 | 4 | | 14 | 62 | | 15 | 35 | | 16 | 50 | | 17 | 4 | | 18 | 5 | | 19 | 50 | | 20 | 6 | | 21 | 49 | | 22 | 6 | | 23 | 3 | | 24 | 15 | | 25 | 7 | | 26 | 11 | | 27 | 16 | | 28 | 45 | | 29 | 8 | | 30 | 3 | | 31 | 10 | | 32 | 49 | | 33 | 28 | | 34 | 6 | | 35 | 22 | | 36 | 5 | | 37 | 55 | | 38 | 14 | | 39 | 3 | | 40 | 3 | | 41 | 45 | | 42 | 16 | | 43 | 12 | | 44 | 5 | | 45 | 28 | | 46 | 5 | | 47 | 2 | | 48 | 30 | | 49 | 11 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 208 | | matches | | 0 | "been given" | | 1 | "was silvered" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 265 | | matches | | 0 | "was delivering" | | 1 | "was pulsing" | | 2 | "was counting" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 210 | | ratio | 0.005 | | matches | | 0 | "The sound came again—three quick taps, this time from the tree in the centre of the clearing." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1608 | | adjectiveStacks | 1 | | stackExamples | | | adverbCount | 54 | | adverbRatio | 0.033582089552238806 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.007462686567164179 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 210 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 210 | | mean | 7.67 | | std | 4.95 | | cv | 0.645 | | sampleLengths | | 0 | 18 | | 1 | 15 | | 2 | 8 | | 3 | 13 | | 4 | 4 | | 5 | 1 | | 6 | 4 | | 7 | 11 | | 8 | 2 | | 9 | 2 | | 10 | 16 | | 11 | 20 | | 12 | 13 | | 13 | 3 | | 14 | 22 | | 15 | 11 | | 16 | 5 | | 17 | 16 | | 18 | 13 | | 19 | 10 | | 20 | 6 | | 21 | 7 | | 22 | 5 | | 23 | 17 | | 24 | 6 | | 25 | 4 | | 26 | 3 | | 27 | 7 | | 28 | 2 | | 29 | 16 | | 30 | 4 | | 31 | 4 | | 32 | 11 | | 33 | 5 | | 34 | 2 | | 35 | 6 | | 36 | 2 | | 37 | 5 | | 38 | 9 | | 39 | 7 | | 40 | 4 | | 41 | 3 | | 42 | 25 | | 43 | 20 | | 44 | 9 | | 45 | 3 | | 46 | 2 | | 47 | 4 | | 48 | 10 | | 49 | 7 |
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| 40.43% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 20 | | diversityRatio | 0.23923444976076555 | | totalSentences | 209 | | uniqueOpeners | 50 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 11 | | totalSentences | 187 | | matches | | 0 | "Just a faint, deliberate warmth," | | 1 | "Somewhere, a branch creaked in" | | 2 | "Instead, the pendant cooled against" | | 3 | "Somewhere among them, an owl" | | 4 | "Just enough to make her" | | 5 | "Instead she saw trees, crowded" | | 6 | "Then, at the far edge" | | 7 | "Only the suggestion of a" | | 8 | "Then the sound of footsteps," | | 9 | "Somewhere in the distance a" | | 10 | "Just a small, patient heat" |
| | ratio | 0.059 | |
| 80.96% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 65 | | totalSentences | 187 | | matches | | 0 | "She stood beneath the Richmond" | | 1 | "She checked her phone." | | 2 | "She had come because the" | | 3 | "It had started while she" | | 4 | "It warmed near Hel portals." | | 5 | "She knew that much, though" | | 6 | "Her shoes scuffed over gravel." | | 7 | "She had come expecting a" | | 8 | "Her breath moved in and" | | 9 | "She started walking again." | | 10 | "It ought to have led" | | 11 | "She told herself there was" | | 12 | "Their branches laced overhead, obscuring" | | 13 | "It caught a scatter of" | | 14 | "She crouched and touched one" | | 15 | "She jerked her hand away." | | 16 | "Her pulse had begun to" | | 17 | "It only made the edges" | | 18 | "She turned around to go" | | 19 | "She could still see the" |
| | ratio | 0.348 | |
| 77.65% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 143 | | totalSentences | 187 | | matches | | 0 | "The pendant had warmed against" | | 1 | "She stood beneath the Richmond" | | 2 | "A car hissed past, its" | | 3 | "She checked her phone." | | 4 | "She had come because the" | | 5 | "It had started while she" | | 6 | "A portal, perhaps." | | 7 | "The word sat badly in" | | 8 | "It warmed near Hel portals." | | 9 | "She knew that much, though" | | 10 | "Rory pushed her hands into" | | 11 | "The park was quiet in" | | 12 | "Her shoes scuffed over gravel." | | 13 | "The darkness between the trees" | | 14 | "She had come expecting a" | | 15 | "A flash of light." | | 16 | "A sudden certainty." | | 17 | "A soft sound came from" | | 18 | "Rory turned her head." | | 19 | "The trees stood still." |
| | ratio | 0.765 | |
| 80.21% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 187 | | matches | | 0 | "By the time she reached" | | 1 | "Now it rested cold against" | | 2 | "To the right." |
| | ratio | 0.016 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 60 | | technicalSentenceCount | 2 | | matches | | 0 | "A car hissed past, its headlights sliding over the iron railings and vanishing." | | 1 | "Just a faint, deliberate warmth, as though someone had tucked a coal beneath the silver chain." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 1 | | matches | | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 3 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0 | | effectiveRatio | 0 | |