| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 8 | | tagDensity | 0.375 | | leniency | 0.75 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 90.40% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1042 | | 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) | |
| 37.62% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1042 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "unreadable" | | 1 | "pulse" | | 2 | "warmth" | | 3 | "silence" | | 4 | "footsteps" | | 5 | "pulsed" | | 6 | "lilt" | | 7 | "echo" | | 8 | "trembled" |
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| 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 | 88 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 88 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 93 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 58 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 13 | | totalWords | 1045 | | ratio | 0.012 | | matches | | 0 | "The grove. Midnight. Come alone." | | 1 | "Change of plan. Tomorrow. Do not go tonight." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 19 | | wordCount | 1019 | | uniqueNames | 10 | | maxNameDensity | 0.59 | | worstName | "Yu-Fei" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Yu-Fei" | | discoveredNames | | Richmond | 2 | | Park | 2 | | Aurora | 3 | | Yu-Fei | 6 | | Evan | 1 | | Hel | 1 | | Carter | 1 | | Welsh | 1 | | Cardiff | 1 | | Fae-touched | 1 |
| | persons | | 0 | "Aurora" | | 1 | "Yu-Fei" | | 2 | "Evan" | | 3 | "Carter" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Cardiff" | | 3 | "Fae-touched" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 53 | | glossingSentenceCount | 1 | | matches | | 0 | "felt like an invitation, and she did no" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.957 | | wordCount | 1045 | | matches | | |
| 94.98% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 93 | | matches | | 0 | "did that here" | | 1 | "understood that the" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 30 | | mean | 34.83 | | std | 26.61 | | cv | 0.764 | | sampleLengths | | 0 | 77 | | 1 | 56 | | 2 | 13 | | 3 | 1 | | 4 | 37 | | 5 | 69 | | 6 | 5 | | 7 | 31 | | 8 | 20 | | 9 | 86 | | 10 | 17 | | 11 | 59 | | 12 | 5 | | 13 | 55 | | 14 | 13 | | 15 | 76 | | 16 | 7 | | 17 | 53 | | 18 | 1 | | 19 | 50 | | 20 | 6 | | 21 | 58 | | 22 | 3 | | 23 | 23 | | 24 | 55 | | 25 | 4 | | 26 | 47 | | 27 | 16 | | 28 | 70 | | 29 | 32 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 88 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 152 | | matches | | |
| 81.41% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 93 | | ratio | 0.022 | | matches | | 0 | "Even at this hour there should have been something — a fox, an owl, the distant hum of the road beyond the trees." | | 1 | "In its absence the night rushed back — wind, a distant owl, the road-hum — as if someone had lifted a bell jar off the world." |
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| 94.92% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1026 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 47 | | adverbRatio | 0.04580896686159844 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.010721247563352826 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 93 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 93 | | mean | 11.24 | | std | 10.83 | | cv | 0.964 | | sampleLengths | | 0 | 35 | | 1 | 5 | | 2 | 2 | | 3 | 1 | | 4 | 13 | | 5 | 21 | | 6 | 20 | | 7 | 16 | | 8 | 5 | | 9 | 15 | | 10 | 9 | | 11 | 2 | | 12 | 2 | | 13 | 1 | | 14 | 6 | | 15 | 4 | | 16 | 1 | | 17 | 4 | | 18 | 22 | | 19 | 10 | | 20 | 2 | | 21 | 10 | | 22 | 6 | | 23 | 23 | | 24 | 18 | | 25 | 5 | | 26 | 3 | | 27 | 10 | | 28 | 4 | | 29 | 13 | | 30 | 1 | | 31 | 20 | | 32 | 7 | | 33 | 2 | | 34 | 2 | | 35 | 27 | | 36 | 7 | | 37 | 10 | | 38 | 1 | | 39 | 30 | | 40 | 4 | | 41 | 1 | | 42 | 12 | | 43 | 2 | | 44 | 57 | | 45 | 5 | | 46 | 10 | | 47 | 22 | | 48 | 23 | | 49 | 13 |
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| 66.67% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.43333333333333335 | | totalSentences | 90 | | uniqueOpeners | 39 | |
| 91.32% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 73 | | matches | | 0 | "Instead the quiet sat against" | | 1 | "Dark, ordinary, patient." |
| | ratio | 0.027 | |
| 66.58% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 28 | | totalSentences | 73 | | matches | | 0 | "She found the standing stones" | | 1 | "It always did that here." | | 2 | "She'd stopped finding it strange," | | 3 | "Her voice died against the" | | 4 | "She checked her phone." | | 5 | "She lowered the bag and" | | 6 | "She shifted, and that was" | | 7 | "Her phone read 11:58 still." | | 8 | "She watched it." | | 9 | "She pressed the side button," | | 10 | "she muttered, though nobody had" | | 11 | "She swept the torch across" | | 12 | "She held the beam steady" | | 13 | "She saw it only because" | | 14 | "she said, and her voice" | | 15 | "She knew what it was." | | 16 | "She did not turn." | | 17 | "It was waiting." | | 18 | "Her name, spoken in her" | | 19 | "Her mother was alive and" |
| | ratio | 0.384 | |
| 62.74% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 58 | | totalSentences | 73 | | matches | | 0 | "The path through Richmond Park" | | 1 | "Yu-Fei's note had been specific." | | 2 | "The pay was too good," | | 3 | "She found the standing stones" | | 4 | "The pendant beneath her shirt" | | 5 | "It always did that here." | | 6 | "She'd stopped finding it strange," | | 7 | "The clearing opened ahead, wildflowers" | | 8 | "Her voice died against the" | | 9 | "She checked her phone." | | 10 | "She lowered the bag and" | | 11 | "The warmth of the stone" | | 12 | "She shifted, and that was" | | 13 | "Richmond Park never went fully" | | 14 | "Her phone read 11:58 still." | | 15 | "She watched it." | | 16 | "The digits didn't move." | | 17 | "She pressed the side button," | | 18 | "she muttered, though nobody had" | | 19 | "A sound came from the" |
| | ratio | 0.795 | |
| 68.49% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 73 | | matches | | 0 | "Even at this hour there" |
| | ratio | 0.014 | |
| 81.63% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 35 | | technicalSentenceCount | 3 | | matches | | 0 | "The pendant against her sternum pulsed hard enough that she felt it through her shirt, once, twice, in a rhythm that wasn't hers." | | 1 | "The voice came again, closer now, patient, coaxing, and beneath the lilt there was something wrong in the acoustics of it, an echo arriving a half-beat late, as…" | | 2 | "In its absence the night rushed back — wind, a distant owl, the road-hum — as if someone had lifted a bell jar off the world." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 25.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 8 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 0.5 | | effectiveRatio | 0.25 | |