| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 27 | | tagDensity | 0.407 | | leniency | 0.815 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 78.52% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1164 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "slightly" | | 1 | "utterly" | | 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) | |
| 18.38% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1164 | | totalAiIsms | 19 | | found | | | highlights | | 0 | "pulse" | | 1 | "sentinel" | | 2 | "throb" | | 3 | "silence" | | 4 | "weight" | | 5 | "crystalline" | | 6 | "flickered" | | 7 | "stomach" | | 8 | "perfect" | | 9 | "warmth" | | 10 | "pulsed" | | 11 | "traced" | | 12 | "quivered" |
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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 | 149 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 149 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 166 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 27 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 4 | | totalWords | 1157 | | ratio | 0.003 | | matches | | 0 | "They're using it." | | 1 | "Run." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 14 | | wordCount | 991 | | uniqueNames | 8 | | maxNameDensity | 0.5 | | worstName | "Rory" | | maxWindowNameDensity | 1 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 5 | | Park | 1 | | Fae | 1 | | Grove | 1 | | Isolde | 2 | | Eva | 2 | | Invisible | 1 | | One | 1 |
| | persons | | 0 | "Rory" | | 1 | "Isolde" | | 2 | "Eva" | | 3 | "Invisible" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 68 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1157 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 166 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 57 | | mean | 20.3 | | std | 14.28 | | cv | 0.704 | | sampleLengths | | 0 | 15 | | 1 | 14 | | 2 | 48 | | 3 | 13 | | 4 | 5 | | 5 | 38 | | 6 | 5 | | 7 | 41 | | 8 | 19 | | 9 | 6 | | 10 | 28 | | 11 | 1 | | 12 | 15 | | 13 | 18 | | 14 | 26 | | 15 | 4 | | 16 | 17 | | 17 | 5 | | 18 | 46 | | 19 | 21 | | 20 | 15 | | 21 | 42 | | 22 | 4 | | 23 | 38 | | 24 | 6 | | 25 | 31 | | 26 | 3 | | 27 | 24 | | 28 | 5 | | 29 | 41 | | 30 | 37 | | 31 | 24 | | 32 | 43 | | 33 | 36 | | 34 | 31 | | 35 | 1 | | 36 | 37 | | 37 | 4 | | 38 | 10 | | 39 | 10 | | 40 | 30 | | 41 | 23 | | 42 | 20 | | 43 | 4 | | 44 | 29 | | 45 | 3 | | 46 | 7 | | 47 | 30 | | 48 | 43 | | 49 | 3 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 149 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 184 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 166 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 231 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 6 | | adverbRatio | 0.025974025974025976 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.012987012987012988 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 166 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 166 | | mean | 6.97 | | std | 5.44 | | cv | 0.78 | | sampleLengths | | 0 | 15 | | 1 | 9 | | 2 | 3 | | 3 | 1 | | 4 | 1 | | 5 | 6 | | 6 | 26 | | 7 | 16 | | 8 | 6 | | 9 | 2 | | 10 | 5 | | 11 | 3 | | 12 | 2 | | 13 | 1 | | 14 | 1 | | 15 | 9 | | 16 | 27 | | 17 | 5 | | 18 | 8 | | 19 | 18 | | 20 | 7 | | 21 | 5 | | 22 | 3 | | 23 | 4 | | 24 | 15 | | 25 | 6 | | 26 | 2 | | 27 | 5 | | 28 | 6 | | 29 | 2 | | 30 | 9 | | 31 | 4 | | 32 | 1 | | 33 | 15 | | 34 | 6 | | 35 | 2 | | 36 | 1 | | 37 | 9 | | 38 | 3 | | 39 | 13 | | 40 | 4 | | 41 | 1 | | 42 | 5 | | 43 | 4 | | 44 | 4 | | 45 | 1 | | 46 | 1 | | 47 | 11 | | 48 | 5 | | 49 | 2 |
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| 73.49% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 13 | | diversityRatio | 0.4879518072289157 | | totalSentences | 166 | | uniqueOpeners | 81 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 6 | | totalSentences | 115 | | matches | | 0 | "Then she heard the breathing." | | 1 | "Too wet, like lungs filled" | | 2 | "Even the wet breathing cut" | | 3 | "Then something laughed again, but" | | 4 | "Only the burning against her" | | 5 | "All reaching towards her with" |
| | ratio | 0.052 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 19 | | totalSentences | 115 | | matches | | 0 | "She'd come because of the" | | 1 | "She pressed her palm against" | | 2 | "Her voice died three feet" | | 3 | "Her heel caught a root" | | 4 | "She jerked her hand away." | | 5 | "She counted her heartbeats." | | 6 | "Her hand found the pendant" | | 7 | "It came from behind her." | | 8 | "She spun again." | | 9 | "She whipped around." | | 10 | "She hadn't given her name." | | 11 | "Their silver glow snuffed out" | | 12 | "She gasped, grabbed it through" | | 13 | "She could see eyes in" | | 14 | "Her hand tightened on the" | | 15 | "She'd thought the text message," | | 16 | "She flinched, but it stopped" | | 17 | "It protected her." | | 18 | "She could see them now," |
| | ratio | 0.165 | |
| 99.13% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 83 | | totalSentences | 115 | | matches | | 0 | "The pendant burned against Rory's" | | 1 | "This was different." | | 2 | "Richmond Park stretched empty behind" | | 3 | "The ancient oaks stood sentinel," | | 4 | "She'd come because of the" | | 5 | "Eva would've called her an" | | 6 | "The wildflowers swayed without wind." | | 7 | "Rory stepped through the first" | | 8 | "The air changed texture, became" | | 9 | "Time moved differently here, Isolde" | | 10 | "An hour could be minutes." | | 11 | "The pendant's heat increased." | | 12 | "She pressed her palm against" | | 13 | "Something moved in her peripheral" | | 14 | "Nothing but flowers and moonlight." | | 15 | "The trees stood still as" | | 16 | "The silence had weight." | | 17 | "Her voice died three feet" | | 18 | "The flowers to her left" | | 19 | "Rory backed up." |
| | ratio | 0.722 | |
| 43.48% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 115 | | matches | | 0 | "As if something invisible pushed" |
| | ratio | 0.009 | |
| 95.24% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 30 | | technicalSentenceCount | 2 | | matches | | 0 | "Ahead, the Fae Grove waited in Isolde's clearing, wildflowers glowing faint silver under moonlight that shouldn't exist, not with the cloud cover she'd seen dri…" | | 1 | "Their silver glow snuffed out in expanding rings around her feet, leaving grey skeletal stems that crumbled to ash." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 38.89% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 3 | | fancyTags | | 0 | "The chorus spoke (speak)" | | 1 | "The voice spoke (speak)" | | 2 | "the voice whispered (whisper)" |
| | dialogueSentences | 27 | | tagDensity | 0.111 | | leniency | 0.222 | | rawRatio | 1 | | effectiveRatio | 0.222 | |