| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 1 | | adverbTags | | 0 | "The voice curled around [around]" |
| | dialogueSentences | 24 | | tagDensity | 0.417 | | leniency | 0.833 | | rawRatio | 0.1 | | effectiveRatio | 0.083 | |
| 87.17% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1559 | | totalAiIsmAdverbs | 4 | | found | | 0 | | | 1 | | adverb | "reluctantly" | | count | 1 |
| | 2 | | | 3 | |
| | highlights | | 0 | "sharply" | | 1 | "reluctantly" | | 2 | "very" | | 3 | "really" |
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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) | |
| 48.69% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1559 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "warmth" | | 1 | "pulse" | | 2 | "throb" | | 3 | "silence" | | 4 | "loomed" | | 5 | "pulsed" | | 6 | "footsteps" | | 7 | "whisper" | | 8 | "traced" |
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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 | 1 | | narrationSentences | 146 | | matches | | |
| 54.79% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 8 | | narrationSentences | 146 | | filterMatches | | | hedgeMatches | | 0 | "seemed to" | | 1 | "happened to" | | 2 | "tried to" | | 3 | "began to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 160 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 37 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 5 | | markdownWords | 13 | | totalWords | 1559 | | ratio | 0.008 | | matches | | 0 | "When it pulses like this" | | 1 | "there's a Hel portal nearby." | | 2 | "you" | | 3 | "calling" | | 4 | "all" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 16 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 33 | | wordCount | 1268 | | uniqueNames | 15 | | maxNameDensity | 0.87 | | worstName | "Aurora" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Aurora" | | discoveredNames | | Heartstone | 1 | | Pendant | 1 | | Carter | 1 | | Fae | 3 | | Grove | 1 | | Park | 2 | | London | 1 | | Yu-Fei | 1 | | Isolde | 2 | | Hel | 2 | | Norse | 2 | | Richmond | 2 | | Silas | 2 | | Evan | 1 | | Aurora | 11 |
| | persons | | 0 | "Pendant" | | 1 | "Carter" | | 2 | "Yu-Fei" | | 3 | "Isolde" | | 4 | "Silas" | | 5 | "Evan" | | 6 | "Aurora" |
| | places | | 0 | "Fae" | | 1 | "Grove" | | 2 | "Park" | | 3 | "London" | | 4 | "Richmond" |
| | globalScore | 1 | | windowScore | 0.833 | |
| 96.24% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 93 | | glossingSentenceCount | 2 | | matches | | 0 | "circle that seemed to defy the geometry she remembered from her university days" | | 1 | "quite what he'd said" |
| |
| 71.71% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.283 | | wordCount | 1559 | | matches | | 0 | "neither male nor" | | 1 | "neither young nor" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 160 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 66 | | mean | 23.62 | | std | 17.18 | | cv | 0.727 | | sampleLengths | | 0 | 7 | | 1 | 45 | | 2 | 63 | | 3 | 51 | | 4 | 6 | | 5 | 46 | | 6 | 47 | | 7 | 22 | | 8 | 6 | | 9 | 24 | | 10 | 50 | | 11 | 5 | | 12 | 51 | | 13 | 4 | | 14 | 51 | | 15 | 12 | | 16 | 19 | | 17 | 13 | | 18 | 33 | | 19 | 8 | | 20 | 11 | | 21 | 35 | | 22 | 8 | | 23 | 40 | | 24 | 25 | | 25 | 28 | | 26 | 12 | | 27 | 23 | | 28 | 62 | | 29 | 9 | | 30 | 47 | | 31 | 6 | | 32 | 50 | | 33 | 12 | | 34 | 5 | | 35 | 24 | | 36 | 31 | | 37 | 4 | | 38 | 9 | | 39 | 26 | | 40 | 4 | | 41 | 6 | | 42 | 42 | | 43 | 15 | | 44 | 3 | | 45 | 33 | | 46 | 5 | | 47 | 18 | | 48 | 9 | | 49 | 33 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 146 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 220 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 160 | | ratio | 0 | | matches | (empty) | |
| 97.97% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 449 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 19 | | adverbRatio | 0.042316258351893093 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.011135857461024499 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 160 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 160 | | mean | 9.74 | | std | 7.47 | | cv | 0.766 | | sampleLengths | | 0 | 7 | | 1 | 14 | | 2 | 3 | | 3 | 1 | | 4 | 2 | | 5 | 25 | | 6 | 18 | | 7 | 21 | | 8 | 7 | | 9 | 17 | | 10 | 6 | | 11 | 17 | | 12 | 7 | | 13 | 3 | | 14 | 2 | | 15 | 16 | | 16 | 6 | | 17 | 6 | | 18 | 9 | | 19 | 3 | | 20 | 8 | | 21 | 20 | | 22 | 7 | | 23 | 37 | | 24 | 3 | | 25 | 7 | | 26 | 2 | | 27 | 4 | | 28 | 9 | | 29 | 6 | | 30 | 4 | | 31 | 9 | | 32 | 11 | | 33 | 5 | | 34 | 21 | | 35 | 24 | | 36 | 5 | | 37 | 5 | | 38 | 16 | | 39 | 30 | | 40 | 4 | | 41 | 11 | | 42 | 23 | | 43 | 8 | | 44 | 9 | | 45 | 12 | | 46 | 2 | | 47 | 8 | | 48 | 6 | | 49 | 3 |
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| 57.08% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 17 | | diversityRatio | 0.40625 | | totalSentences | 160 | | uniqueOpeners | 65 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 8 | | totalSentences | 123 | | matches | | 0 | "Even the usual nocturnal sounds" | | 1 | "Just seven words that had" | | 2 | "Then she'd fished it out" | | 3 | "Then she'd spent forty-eight hours" | | 4 | "Just the grove, the flowers," | | 5 | "Away from her." | | 6 | "Then the sounds began." | | 7 | "Bright enough to illuminate the" |
| | ratio | 0.065 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 29 | | totalSentences | 123 | | matches | | 0 | "She stood at the edge" | | 1 | "They seemed to breathe in" | | 2 | "She could hear nothing from" | | 3 | "She hadn't wanted to come" | | 4 | "It had pulled her since" | | 5 | "She'd deleted it immediately." | | 6 | "She walked forward, and the" | | 7 | "Her heart beat too fast" | | 8 | "She told it to slow" | | 9 | "It didn't listen." | | 10 | "she murmured to no one" | | 11 | "His exact words had been:" | | 12 | "She'd asked why anyone would" | | 13 | "His silence had stretched long" | | 14 | "Their branches interlocked overhead, forming" | | 15 | "She could swear one of" | | 16 | "She could swear it had" | | 17 | "Her training kicked in." | | 18 | "She catalogued details without looking" | | 19 | "She pulled it from beneath" |
| | ratio | 0.236 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 88 | | totalSentences | 123 | | matches | | 0 | "The Heartstone Pendant burned against" | | 1 | "This was heat." | | 2 | "Aurora Carter pressed her palm" | | 3 | "She stood at the edge" | | 4 | "The boundary markers rose dark" | | 5 | "They seemed to breathe in" | | 6 | "Richmond Park stretched empty behind" | | 7 | "The city felt impossibly far" | | 8 | "She could hear nothing from" | | 9 | "The silence pressed against her" | | 10 | "She hadn't wanted to come" | | 11 | "The thought surfaced unbidden, and" | | 12 | "Eva had offered." | | 13 | "Silas had offered, though his" | | 14 | "It had pulled her since" | | 15 | "Something watching back." | | 16 | "The message had arrived three" | | 17 | "She'd deleted it immediately." | | 18 | "The standing stones loomed ahead." | | 19 | "The grass at their base" |
| | ratio | 0.715 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 5 | | totalSentences | 123 | | matches | | 0 | "Even Yu-Fei had looked concerned" | | 1 | "Now she walked deeper, and" | | 2 | "To walk back through the" | | 3 | "To return to her flat" | | 4 | "As though her presence poisoned" |
| | ratio | 0.041 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 50 | | technicalSentenceCount | 3 | | matches | | 0 | "The path she'd planned dissolved into something else, a way that opened as she moved and sealed behind her in the same breath." | | 1 | "Who'd died in this very grove, her essence feeding the wildflowers that never stopped blooming." | | 2 | "They stood motionless among the trees, watching her with eyes that held no whites, no pupils, no humanity whatsoever." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 66.67% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 2 | | fancyTags | | 0 | "she murmured (murmur)" | | 1 | "the voice whispered (whisper)" |
| | dialogueSentences | 24 | | tagDensity | 0.125 | | leniency | 0.25 | | rawRatio | 0.667 | | effectiveRatio | 0.167 | |