| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 1 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.05% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1011 | | 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) | |
| 25.82% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1011 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "warmth" | | 1 | "pulsed" | | 2 | "familiar" | | 3 | "measured" | | 4 | "silence" | | 5 | "scanning" | | 6 | "echo" | | 7 | "weight" | | 8 | "standard" | | 9 | "oppressive" |
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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 | 91 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 91 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 91 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 68 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1008 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 0 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 25 | | wordCount | 999 | | uniqueNames | 8 | | maxNameDensity | 0.6 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Grove" | | discoveredNames | | Rory | 6 | | Grove | 6 | | Isolde | 2 | | Two | 1 | | Heartstone | 1 | | Richmond | 4 | | Park | 3 | | English | 2 |
| | persons | | | places | | 0 | "Grove" | | 1 | "Richmond" | | 2 | "Park" |
| | globalScore | 1 | | windowScore | 1 | |
| 57.41% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 54 | | glossingSentenceCount | 2 | | matches | | 0 | "quite line up with any obvious light source" | | 1 | "ight, breathes visibly in cool air" |
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| 1.59% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.984 | | wordCount | 1008 | | matches | | 0 | "Not hot enough to blister, but enough" | | 1 | "not up at the sky but inward, tracking something across the clearing at shin heigh" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 91 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 34 | | mean | 29.65 | | std | 28.5 | | cv | 0.961 | | sampleLengths | | 0 | 3 | | 1 | 50 | | 2 | 11 | | 3 | 3 | | 4 | 64 | | 5 | 26 | | 6 | 112 | | 7 | 4 | | 8 | 16 | | 9 | 61 | | 10 | 4 | | 11 | 14 | | 12 | 43 | | 13 | 24 | | 14 | 3 | | 15 | 37 | | 16 | 4 | | 17 | 40 | | 18 | 62 | | 19 | 4 | | 20 | 46 | | 21 | 4 | | 22 | 74 | | 23 | 6 | | 24 | 35 | | 25 | 20 | | 26 | 10 | | 27 | 94 | | 28 | 5 | | 29 | 55 | | 30 | 4 | | 31 | 51 | | 32 | 11 | | 33 | 8 |
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| 93.70% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 91 | | matches | | 0 | "been closed" | | 1 | "were flattened" | | 2 | "was oriented" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 144 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 1 | | flaggedSentences | 1 | | totalSentences | 91 | | ratio | 0.011 | | matches | | 0 | "She hadn't expected one; she hadn't expected the word to simply vanish like that either, as though the air itself declined to carry it." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 176 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 6 | | adverbRatio | 0.03409090909090909 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 91 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 91 | | mean | 11.08 | | std | 10.56 | | cv | 0.953 | | sampleLengths | | 0 | 3 | | 1 | 29 | | 2 | 21 | | 3 | 8 | | 4 | 3 | | 5 | 3 | | 6 | 22 | | 7 | 15 | | 8 | 15 | | 9 | 3 | | 10 | 9 | | 11 | 13 | | 12 | 7 | | 13 | 6 | | 14 | 25 | | 15 | 3 | | 16 | 5 | | 17 | 3 | | 18 | 5 | | 19 | 3 | | 20 | 68 | | 21 | 1 | | 22 | 3 | | 23 | 10 | | 24 | 6 | | 25 | 22 | | 26 | 5 | | 27 | 24 | | 28 | 10 | | 29 | 4 | | 30 | 3 | | 31 | 4 | | 32 | 7 | | 33 | 9 | | 34 | 16 | | 35 | 6 | | 36 | 7 | | 37 | 5 | | 38 | 6 | | 39 | 6 | | 40 | 12 | | 41 | 3 | | 42 | 2 | | 43 | 3 | | 44 | 2 | | 45 | 21 | | 46 | 5 | | 47 | 4 | | 48 | 4 | | 49 | 9 |
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| 53.11% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.38461538461538464 | | totalSentences | 91 | | uniqueOpeners | 35 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 85 | | matches | | 0 | "Always in daylight." | | 1 | "Too cold for stone that" | | 2 | "Just outside the ring, in" |
| | ratio | 0.035 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 24 | | totalSentences | 85 | | matches | | 0 | "She'd been here twice before," | | 1 | "She had a reason for" | | 2 | "She needed to hold onto" | | 3 | "She shouldn't have come alone." | | 4 | "She knew that." | | 5 | "She wrapped her fingers around" | | 6 | "It pulsed back, steady and" | | 7 | "She'd heard all of it" | | 8 | "She told herself it was" | | 9 | "She didn't entirely convince herself." | | 10 | "She went still." | | 11 | "She waited a full count" | | 12 | "She was nearly certain." | | 13 | "Her voice came out steadier" | | 14 | "She hadn't expected one; she" | | 15 | "She pressed the back of" | | 16 | "She hadn't looked away for" | | 17 | "They did not move while" | | 18 | "She crouched and looked at" | | 19 | "She straightened and took a" |
| | ratio | 0.282 | |
| 89.41% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 63 | | totalSentences | 85 | | matches | | 0 | "The pendant burned." | | 1 | "The warmth pulsed in a" | | 2 | "She'd been here twice before," | | 3 | "This was neither." | | 4 | "The clearing looked wrong in" | | 5 | "The standing stones circled the" | | 6 | "Every single one." | | 7 | "Rory kept her breathing measured" | | 8 | "She had a reason for" | | 9 | "She needed to hold onto" | | 10 | "The message had come through" | | 11 | "She shouldn't have come alone." | | 12 | "She knew that." | | 13 | "Here she was." | | 14 | "She wrapped her fingers around" | | 15 | "It pulsed back, steady and" | | 16 | "The trees beyond the standing" | | 17 | "Richmond at night had its" | | 18 | "She'd heard all of it" | | 19 | "Something denser than silence." |
| | ratio | 0.741 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 85 | | matches | | 0 | "As though the Grove itself" | | 1 | "Now it felt attentive." |
| | ratio | 0.024 | |
| 58.82% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 34 | | technicalSentenceCount | 4 | | matches | | 0 | "The standing stones threw long shadows that didn't quite line up with any obvious light source." | | 1 | "The blades were flattened in a thin trail leading from the edge of the clearing toward where she stood, as though something low and patient had come through wit…" | | 2 | "She'd done exactly that, glanced at it once and filed it as a walker, a late-night jogger who'd somehow found this hidden corner of the park." | | 3 | "This thing stood with the particular stillness of an object, a post, a lamp standard, something that has never moved and doesn't intend to." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |