| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 4 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 87.33% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1184 | | totalAiIsmAdverbs | 3 | | found | | 0 | | | 1 | | adverb | "deliberately" | | count | 1 |
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| | 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) | |
| 7.09% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1184 | | totalAiIsms | 22 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | |
| | highlights | | 0 | "sentinel" | | 1 | "pulsed" | | 2 | "throb" | | 3 | "warmth" | | 4 | "echo" | | 5 | "mechanical" | | 6 | "vibrated" | | 7 | "pulse" | | 8 | "quickened" | | 9 | "perfect" | | 10 | "sense of" | | 11 | "flicker" | | 12 | "throbbed" | | 13 | "raced" | | 14 | "depths" | | 15 | "silence" | | 16 | "rhythmic" | | 17 | "weight" |
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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 | 160 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 160 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 163 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 6 | | totalWords | 1184 | | ratio | 0.005 | | matches | | 0 | "Richmond. Come now." | | 1 | "this way out" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 16 | | wordCount | 1162 | | uniqueNames | 3 | | maxNameDensity | 0.69 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Eva" | | discoveredNames | | | persons | | | places | (empty) | | globalScore | 1 | | windowScore | 0.833 | |
| 83.33% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 75 | | glossingSentenceCount | 2 | | matches | | 0 | "purples that seemed to generate their own faint luminescence" | | 1 | "Something between a drone and a voice, a sound" |
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| 31.08% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.689 | | wordCount | 1184 | | matches | | 0 | "Not physically, she could still see the opening between two stones on the far side, but the feeling of an entrance, the sense of *this way out*, had" | | 1 | "not with moisture but with movement" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 163 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 46 | | mean | 25.74 | | std | 20.64 | | cv | 0.802 | | sampleLengths | | 0 | 10 | | 1 | 64 | | 2 | 10 | | 3 | 35 | | 4 | 67 | | 5 | 30 | | 6 | 1 | | 7 | 46 | | 8 | 22 | | 9 | 2 | | 10 | 34 | | 11 | 7 | | 12 | 5 | | 13 | 60 | | 14 | 8 | | 15 | 40 | | 16 | 16 | | 17 | 19 | | 18 | 6 | | 19 | 84 | | 20 | 4 | | 21 | 43 | | 22 | 23 | | 23 | 14 | | 24 | 23 | | 25 | 32 | | 26 | 9 | | 27 | 8 | | 28 | 54 | | 29 | 3 | | 30 | 3 | | 31 | 34 | | 32 | 5 | | 33 | 3 | | 34 | 57 | | 35 | 28 | | 36 | 35 | | 37 | 44 | | 38 | 10 | | 39 | 40 | | 40 | 26 | | 41 | 3 | | 42 | 35 | | 43 | 42 | | 44 | 37 | | 45 | 3 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 160 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 201 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 163 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1164 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 33 | | adverbRatio | 0.028350515463917526 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.005154639175257732 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 163 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 163 | | mean | 7.26 | | std | 6.18 | | cv | 0.851 | | sampleLengths | | 0 | 10 | | 1 | 21 | | 2 | 3 | | 3 | 4 | | 4 | 20 | | 5 | 16 | | 6 | 5 | | 7 | 2 | | 8 | 1 | | 9 | 2 | | 10 | 5 | | 11 | 8 | | 12 | 5 | | 13 | 17 | | 14 | 9 | | 15 | 27 | | 16 | 14 | | 17 | 4 | | 18 | 3 | | 19 | 2 | | 20 | 8 | | 21 | 4 | | 22 | 2 | | 23 | 2 | | 24 | 22 | | 25 | 1 | | 26 | 4 | | 27 | 8 | | 28 | 4 | | 29 | 9 | | 30 | 3 | | 31 | 18 | | 32 | 3 | | 33 | 13 | | 34 | 2 | | 35 | 2 | | 36 | 2 | | 37 | 2 | | 38 | 15 | | 39 | 3 | | 40 | 16 | | 41 | 7 | | 42 | 5 | | 43 | 2 | | 44 | 4 | | 45 | 4 | | 46 | 22 | | 47 | 13 | | 48 | 2 | | 49 | 1 |
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| 53.99% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 17 | | diversityRatio | 0.38650306748466257 | | totalSentences | 163 | | uniqueOpeners | 63 | |
| 86.21% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 116 | | matches | | 0 | "Just flowers and shadow and" | | 1 | "Backward brought it near." | | 2 | "Then another finger." |
| | ratio | 0.026 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 31 | | totalSentences | 116 | | matches | | 0 | "She'd stopped counting after twelve" | | 1 | "She checked her phone." | | 2 | "Her voice fell flat." | | 3 | "She'd read that somewhere, or" | | 4 | "She couldn't remember." | | 5 | "She stepped forward." | | 6 | "It vibrated in her molars," | | 7 | "She'd entered between two of" | | 8 | "She was certain." | | 9 | "She'd counted from left to" | | 10 | "She snapped her head left." | | 11 | "She looked right." | | 12 | "Her hands shook." | | 13 | "She pressed them flat against" | | 14 | "It absorbed her voice the" | | 15 | "She walked toward the gap" | | 16 | "She grabbed it through her" | | 17 | "She dropped it." | | 18 | "She held her breath, counted" | | 19 | "It came from the trees." |
| | ratio | 0.267 | |
| 37.59% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 98 | | totalSentences | 116 | | matches | | 0 | "The standing stones rose from" | | 1 | "Rory counted seven as she" | | 2 | "Oak, she realised." | | 3 | "The Heartstone pendant pulsed against" | | 4 | "Eva's text had been simple." | | 5 | "That was four hours ago." | | 6 | "Eva's phone had gone straight" | | 7 | "Rory had tried twelve times." | | 8 | "She'd stopped counting after twelve" | | 9 | "The grove opened before her" | | 10 | "Wildflowers carpeted the ground in" | | 11 | "The air tasted different here," | | 12 | "Something copper-sharp and organic." | | 13 | "Soil after rain." | | 14 | "The scent of growing things" | | 15 | "She checked her phone." | | 16 | "The time read 11:47 PM," | | 17 | "Her voice fell flat." | | 18 | "The grove swallowed it without" | | 19 | "Sound behaved wrong here." |
| | ratio | 0.845 | |
| 43.10% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 116 | | matches | | 0 | "Now the stones ringed the" |
| | ratio | 0.009 | |
| 65.22% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 46 | | technicalSentenceCount | 5 | | matches | | 0 | "The Heartstone pendant pulsed against her sternum, a steady throb of warmth that matched her heartbeat." | | 1 | "Wildflowers carpeted the ground in colours that had no business existing under moonlight, blues and golds and deep purples that seemed to generate their own fai…" | | 2 | "The wildflowers bent away from her boots, parting like a crowd making room." | | 3 | "Moonlight filtered through in silver threads, catching motes of something that wasn't dust." | | 4 | "The sound of it filled the clearing, a chorus of respiratory effort that belonged to lungs the size of cathedrals." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 4 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 1 | | effectiveRatio | 0.5 | |