| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 1 | | adverbTags | | 0 | "she said quietly [quietly]" |
| | dialogueSentences | 20 | | tagDensity | 0.3 | | leniency | 0.6 | | rawRatio | 0.167 | | effectiveRatio | 0.1 | |
| 89.96% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2490 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "very" | | 1 | "slightly" | | 2 | "softly" | | 3 | "slowly" | | 4 | "carefully" |
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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) | |
| 77.91% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2490 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "pulse" | | 1 | "warmth" | | 2 | "throbbed" | | 3 | "echo" | | 4 | "stomach" | | 5 | "fluttered" | | 6 | "pulsed" | | 7 | "absolutely" | | 8 | "weight" | | 9 | "vibrated" |
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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 | 319 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 319 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 334 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 30 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 2489 | | ratio | 0 | | matches | (empty) | |
| 89.29% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 1 | | matches | | 0 | "When her friend answered, Rory spoke before she could say a word." |
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| 93.98% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 51 | | wordCount | 2410 | | uniqueNames | 11 | | maxNameDensity | 1.12 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 27 | | Richmond | 3 | | Park | 3 | | Grove | 2 | | Heartstone | 3 | | Tuesday | 1 | | Yu-Fei | 4 | | Evan | 2 | | Cardiff | 1 | | February | 1 | | Eva | 4 |
| | persons | | 0 | "Rory" | | 1 | "Heartstone" | | 2 | "Yu-Fei" | | 3 | "Evan" | | 4 | "Eva" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Grove" | | 3 | "Cardiff" | | 4 | "February" |
| | globalScore | 0.94 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 203 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.402 | | wordCount | 2489 | | matches | | 0 | "not fingers, exactly, but several thin lengths folding together" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 334 | | matches | | 0 | "making that noise" | | 1 | "found that phrase" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 228 | | mean | 10.92 | | std | 10.44 | | cv | 0.956 | | sampleLengths | | 0 | 13 | | 1 | 57 | | 2 | 5 | | 3 | 8 | | 4 | 3 | | 5 | 14 | | 6 | 35 | | 7 | 2 | | 8 | 5 | | 9 | 6 | | 10 | 41 | | 11 | 28 | | 12 | 18 | | 13 | 6 | | 14 | 39 | | 15 | 6 | | 16 | 30 | | 17 | 53 | | 18 | 6 | | 19 | 25 | | 20 | 4 | | 21 | 1 | | 22 | 2 | | 23 | 31 | | 24 | 42 | | 25 | 13 | | 26 | 9 | | 27 | 7 | | 28 | 3 | | 29 | 2 | | 30 | 29 | | 31 | 5 | | 32 | 2 | | 33 | 1 | | 34 | 16 | | 35 | 7 | | 36 | 20 | | 37 | 28 | | 38 | 26 | | 39 | 31 | | 40 | 6 | | 41 | 5 | | 42 | 5 | | 43 | 11 | | 44 | 7 | | 45 | 1 | | 46 | 9 | | 47 | 18 | | 48 | 8 | | 49 | 35 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 319 | | matches | | 0 | "was given" | | 1 | "been, stood" | | 2 | "were gone" | | 3 | "been told" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 424 | | matches | | 0 | "was doing" | | 1 | "was giving" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 1 | | flaggedSentences | 4 | | totalSentences | 334 | | ratio | 0.012 | | matches | | 0 | "She climbed the slight rise beyond it, pushed through a mesh of bare branches—" | | 1 | "—and came out into flowers." | | 2 | "She caught the impression of a hand withdrawing—not fingers, exactly, but several thin lengths folding together." | | 3 | "She had used it to keep dumplings warm through February rain; she had no idea what good it might do now." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 188 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 5 | | adverbRatio | 0.026595744680851064 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 334 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 334 | | mean | 7.45 | | std | 4.87 | | cv | 0.653 | | sampleLengths | | 0 | 13 | | 1 | 10 | | 2 | 22 | | 3 | 17 | | 4 | 8 | | 5 | 5 | | 6 | 8 | | 7 | 3 | | 8 | 14 | | 9 | 4 | | 10 | 12 | | 11 | 14 | | 12 | 3 | | 13 | 2 | | 14 | 2 | | 15 | 5 | | 16 | 6 | | 17 | 28 | | 18 | 13 | | 19 | 18 | | 20 | 1 | | 21 | 9 | | 22 | 2 | | 23 | 4 | | 24 | 12 | | 25 | 6 | | 26 | 14 | | 27 | 4 | | 28 | 21 | | 29 | 6 | | 30 | 30 | | 31 | 9 | | 32 | 13 | | 33 | 7 | | 34 | 20 | | 35 | 4 | | 36 | 6 | | 37 | 15 | | 38 | 10 | | 39 | 4 | | 40 | 1 | | 41 | 2 | | 42 | 7 | | 43 | 14 | | 44 | 3 | | 45 | 7 | | 46 | 10 | | 47 | 18 | | 48 | 14 | | 49 | 13 |
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| 44.56% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 18 | | diversityRatio | 0.24169184290030213 | | totalSentences | 331 | | uniqueOpeners | 80 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 14 | | totalSentences | 285 | | matches | | 0 | "Just coordinates, and a small" | | 1 | "Instead, she had spent the" | | 2 | "Then another of the route" | | 3 | "Then she put the pendant" | | 4 | "Exactly the same two notes." | | 5 | "Then she slipped between the" | | 6 | "Then she turned." | | 7 | "Then Yu-Fei’s voice, brisk and" | | 8 | "Then, more quietly:" | | 9 | "Perhaps the width of a" | | 10 | "Then a pale shape crossed" | | 11 | "Then she eased the zip" | | 12 | "Then it came free." | | 13 | "Then again, and again." |
| | ratio | 0.049 | |
| 82.46% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 98 | | totalSentences | 285 | | matches | | 0 | "She had watched it whiten" | | 1 | "Their stems stood straight in" | | 2 | "She glanced behind her." | | 3 | "She could still see the" | | 4 | "She stepped into the Grove." | | 5 | "She had nearly thrown it" | | 6 | "She hadn’t understood until she" | | 7 | "Their grey surfaces held the" | | 8 | "It stood on the far" | | 9 | "She took a photograph of" | | 10 | "She had left her insulated" | | 11 | "It still smelled faintly of" | | 12 | "She turned, expecting a late" | | 13 | "She reached the split stone" | | 14 | "Its hollow was darker than" | | 15 | "She switched on her phone’s" | | 16 | "Her straight black hair caught" | | 17 | "Its faint inner glow had" | | 18 | "She held it above the" | | 19 | "It was a small sound." |
| | ratio | 0.344 | |
| 84.56% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 214 | | totalSentences | 285 | | matches | | 0 | "The wildflowers were the first" | | 1 | "There had been frost on" | | 2 | "She had watched it whiten" | | 3 | "Their stems stood straight in" | | 4 | "Rory stopped with one foot" | | 5 | "The word sounded close and" | | 6 | "She glanced behind her." | | 7 | "She could still see the" | | 8 | "She stepped into the Grove." | | 9 | "The Heartstone warmed against her" | | 10 | "She had nearly thrown it" | | 11 | "Silas hadn’t seen anyone." | | 12 | "The camera over the back" | | 13 | "Rory had checked the timestamps" | | 14 | "The stones rose around her" | | 15 | "She hadn’t understood until she" | | 16 | "Their grey surfaces held the" | | 17 | "Moonlight filled the grooves." | | 18 | "It stood on the far" | | 19 | "The crack opened into a" |
| | ratio | 0.751 | |
| 52.63% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 285 | | matches | | 0 | "If you want to return" | | 1 | "Now she stood in a" | | 2 | "—and came out into flowers." |
| | ratio | 0.011 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 77 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 1 | | fancyTags | | 0 | "she whispered (whisper)" |
| | dialogueSentences | 20 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 0.2 | | effectiveRatio | 0.1 | |