| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 3 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 81.46% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1079 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "really" | | 1 | "quickly" | | 2 | "very" |
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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) | |
| 49.03% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1079 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "weight" | | 1 | "pulsed" | | 2 | "pulse" | | 3 | "echo" | | 4 | "shimmered" | | 5 | "stomach" | | 6 | "flicker" | | 7 | "familiar" |
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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 | 76 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 76 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 78 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 60 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1079 | | ratio | 0 | | matches | (empty) | |
| 83.33% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 1 | | matches | | 0 | "Even sealed, even quiet, they breathed, a slow tidal thing, in and out, in and out." |
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| 92.58% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 26 | | wordCount | 1045 | | uniqueNames | 13 | | maxNameDensity | 1.15 | | worstName | "Aurora" | | maxWindowNameDensity | 2 | | worstWindowName | "Aurora" | | discoveredNames | | Aurora | 12 | | Richmond | 1 | | Park | 1 | | Heartstone | 1 | | Fae | 1 | | Tuesday | 1 | | Cardiff | 2 | | Bristol | 1 | | Channel | 1 | | Eva | 2 | | Evan | 1 | | Hel | 1 | | August | 1 |
| | persons | | 0 | "Aurora" | | 1 | "Heartstone" | | 2 | "Channel" | | 3 | "Eva" | | 4 | "Evan" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Cardiff" | | 3 | "Bristol" | | 4 | "August" |
| | globalScore | 0.926 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 51 | | 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 | 1079 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 78 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 26 | | mean | 41.5 | | std | 29.02 | | cv | 0.699 | | sampleLengths | | 0 | 13 | | 1 | 104 | | 2 | 12 | | 3 | 72 | | 4 | 18 | | 5 | 20 | | 6 | 60 | | 7 | 22 | | 8 | 71 | | 9 | 1 | | 10 | 54 | | 11 | 15 | | 12 | 66 | | 13 | 105 | | 14 | 3 | | 15 | 59 | | 16 | 24 | | 17 | 63 | | 18 | 47 | | 19 | 43 | | 20 | 46 | | 21 | 12 | | 22 | 51 | | 23 | 5 | | 24 | 65 | | 25 | 28 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 76 | | matches | | |
| 82.35% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 170 | | matches | | 0 | "wasn't looking" | | 1 | "wasn't looking" | | 2 | "was looking" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 78 | | ratio | 0 | | matches | (empty) | |
| 84.25% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 569 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 33 | | adverbRatio | 0.05799648506151142 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.008787346221441126 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 78 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 78 | | mean | 13.83 | | std | 12.82 | | cv | 0.927 | | sampleLengths | | 0 | 13 | | 1 | 2 | | 2 | 1 | | 3 | 27 | | 4 | 30 | | 5 | 44 | | 6 | 6 | | 7 | 6 | | 8 | 23 | | 9 | 5 | | 10 | 4 | | 11 | 40 | | 12 | 4 | | 13 | 4 | | 14 | 4 | | 15 | 6 | | 16 | 20 | | 17 | 13 | | 18 | 11 | | 19 | 25 | | 20 | 3 | | 21 | 8 | | 22 | 22 | | 23 | 6 | | 24 | 31 | | 25 | 19 | | 26 | 2 | | 27 | 4 | | 28 | 9 | | 29 | 1 | | 30 | 15 | | 31 | 2 | | 32 | 4 | | 33 | 15 | | 34 | 18 | | 35 | 15 | | 36 | 50 | | 37 | 10 | | 38 | 6 | | 39 | 6 | | 40 | 4 | | 41 | 19 | | 42 | 16 | | 43 | 60 | | 44 | 3 | | 45 | 26 | | 46 | 4 | | 47 | 29 | | 48 | 2 | | 49 | 1 |
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| 78.63% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.5256410256410257 | | totalSentences | 78 | | uniqueOpeners | 41 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 65 | | matches | | 0 | "Instead, Aurora let her eyes" | | 1 | "Of course nothing moved." | | 2 | "Even a small clearing bounced" | | 3 | "Instead she walked toward the" | | 4 | "Finally, unmistakably, at the very" |
| | ratio | 0.077 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 14 | | totalSentences | 65 | | matches | | 0 | "She pressed her palm flat" | | 1 | "She should have turned back" | | 2 | "She'd seen frost damage before," | | 3 | "She didn't turn around straight" | | 4 | "It never moved when you" | | 5 | "Her own voice sounded thin," | | 6 | "She'd come here for the" | | 7 | "She hadn't planned on the" | | 8 | "She didn't leave." | | 9 | "She turned in a slow" | | 10 | "she muttered, voice barely more" | | 11 | "It was looking at her." | | 12 | "She thought of the fifteen" | | 13 | "She thought about turning, about" |
| | ratio | 0.215 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 44 | | totalSentences | 65 | | matches | | 0 | "The pendant burned against Aurora's" | | 1 | "She pressed her palm flat" | | 2 | "She should have turned back" | | 3 | "Rookie mistake, ignoring the first" | | 4 | "The oaks marking the grove's" | | 5 | "Nothing had changed about them." | | 6 | "That was the problem." | | 7 | "Nothing ever changed here, and" | | 8 | "Wildflowers, she reminded herself." | | 9 | "Wildflowers bloom year-round here." | | 10 | "That's the whole point." | | 11 | "That's not wrong, that's just" | | 12 | "Aurora crouched, fingers hovering an" | | 13 | "She'd seen frost damage before," | | 14 | "This wasn't frost." | | 15 | "Frost didn't smell like copper" | | 16 | "A branch snapped somewhere behind" | | 17 | "She didn't turn around straight" | | 18 | "It never moved when you" | | 19 | "Her own voice sounded thin," |
| | ratio | 0.677 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 65 | | matches | | 0 | "Now it pulsed like something" | | 1 | "Even sealed, even quiet, they" |
| | ratio | 0.031 | |
| 65.64% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 37 | | technicalSentenceCount | 4 | | matches | | 0 | "Now it pulsed like something with a pulse of its own, and Aurora had learned enough about Fae things to know that wasn't a good sign, that wasn't a sign at all …" | | 1 | "Here, her word simply vanished, as if the air itself had opened its throat and drunk it down." | | 2 | "She hadn't planned on the flowers dying at her feet or the way the temperature had dropped without her breath fogging, which made no sense, cold enough to kill …" | | 3 | "She thought about turning, about the long walk back to the tree line and the ordinary joggers and the streetlights that made sense." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 1 | | matches | | 0 | "she muttered, voice barely more than breath" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 2 | | fancyTags | | 0 | "she muttered (mutter)" | | 1 | "She thought (think)" |
| | dialogueSentences | 3 | | tagDensity | 0.667 | | leniency | 1 | | rawRatio | 1 | | effectiveRatio | 1 | |