| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 11 | | tagDensity | 0.455 | | leniency | 0.909 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 75.75% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1031 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "slowly" | | 1 | "really" | | 2 | "very" | | 3 | "gently" |
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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) | |
| 70.90% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1031 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "trembled" | | 1 | "pulse" | | 2 | "pulsed" | | 3 | "silence" | | 4 | "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 | 102 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 102 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 108 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 38 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 6 | | totalWords | 1031 | | ratio | 0.006 | | matches | | 0 | "here I am." | | 1 | "run, run, run." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 1 | | matches | | 0 | "Conserving the battery, she told herself, though the truth was that the light felt like holding up a hand and shouting *…" |
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| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 13 | | wordCount | 984 | | uniqueNames | 7 | | maxNameDensity | 0.41 | | worstName | "Rory" | | maxWindowNameDensity | 1 | | worstWindowName | "Rory" | | discoveredNames | | Richmond | 2 | | Park | 2 | | Sheen | 1 | | Eva | 1 | | Heartstone | 2 | | October | 1 | | Rory | 4 |
| | persons | | 0 | "Eva" | | 1 | "Heartstone" | | 2 | "Rory" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Sheen" |
| | globalScore | 1 | | windowScore | 1 | |
| 20.69% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 58 | | glossingSentenceCount | 3 | | matches | | 0 | "quite Richmond Park any more" | | 1 | "felt like holding up a hand and shoutin" | | 2 | "felt like a mistake, and her legs felt" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.97 | | wordCount | 1031 | | matches | | 0 | "not with her eyes, but she felt the grass lift" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 108 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 43 | | mean | 23.98 | | std | 21.51 | | cv | 0.897 | | sampleLengths | | 0 | 12 | | 1 | 58 | | 2 | 28 | | 3 | 81 | | 4 | 19 | | 5 | 7 | | 6 | 3 | | 7 | 55 | | 8 | 1 | | 9 | 42 | | 10 | 6 | | 11 | 40 | | 12 | 3 | | 13 | 32 | | 14 | 8 | | 15 | 1 | | 16 | 53 | | 17 | 15 | | 18 | 29 | | 19 | 8 | | 20 | 46 | | 21 | 15 | | 22 | 2 | | 23 | 58 | | 24 | 2 | | 25 | 14 | | 26 | 23 | | 27 | 2 | | 28 | 50 | | 29 | 13 | | 30 | 24 | | 31 | 4 | | 32 | 32 | | 33 | 57 | | 34 | 31 | | 35 | 3 | | 36 | 29 | | 37 | 13 | | 38 | 8 | | 39 | 74 | | 40 | 3 | | 41 | 16 | | 42 | 11 |
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| 84.62% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 6 | | totalSentences | 102 | | matches | | 0 | "was supposed" | | 1 | "been shut" | | 2 | "been warned" | | 3 | "been told" | | 4 | "were furled" | | 5 | "was wanted" |
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| 82.35% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 170 | | matches | | 0 | "was walking" | | 1 | "were marking" | | 2 | "was holding" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 108 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 985 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 35 | | adverbRatio | 0.03553299492385787 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.005076142131979695 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 108 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 108 | | mean | 9.55 | | std | 8.96 | | cv | 0.939 | | sampleLengths | | 0 | 12 | | 1 | 10 | | 2 | 16 | | 3 | 32 | | 4 | 24 | | 5 | 4 | | 6 | 9 | | 7 | 5 | | 8 | 30 | | 9 | 8 | | 10 | 29 | | 11 | 7 | | 12 | 2 | | 13 | 1 | | 14 | 9 | | 15 | 7 | | 16 | 3 | | 17 | 15 | | 18 | 15 | | 19 | 5 | | 20 | 2 | | 21 | 6 | | 22 | 12 | | 23 | 1 | | 24 | 2 | | 25 | 4 | | 26 | 25 | | 27 | 11 | | 28 | 4 | | 29 | 2 | | 30 | 2 | | 31 | 28 | | 32 | 4 | | 33 | 6 | | 34 | 3 | | 35 | 2 | | 36 | 17 | | 37 | 13 | | 38 | 1 | | 39 | 1 | | 40 | 1 | | 41 | 5 | | 42 | 1 | | 43 | 3 | | 44 | 10 | | 45 | 16 | | 46 | 24 | | 47 | 2 | | 48 | 5 | | 49 | 5 |
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| 66.36% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.4537037037037037 | | totalSentences | 108 | | uniqueOpeners | 49 | |
| 40.65% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 82 | | matches | | 0 | "Further left this time." |
| | ratio | 0.012 | |
| 93.17% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 26 | | totalSentences | 82 | | matches | | 0 | "She flexed her fingers around" | | 1 | "she said, and her voice" | | 2 | "She'd found the standing stones" | | 3 | "She stepped between two of" | | 4 | "She'd been warned about that" | | 5 | "She hadn't expected one." | | 6 | "She crossed to it, boots" | | 7 | "She counted them in her" | | 8 | "She kept looking at it" | | 9 | "She lifted the torch, thumbed" | | 10 | "She clicked the torch off." | | 11 | "She hadn't noticed them open," | | 12 | "She stood slowly, because quick" | | 13 | "She turned on the spot." | | 14 | "she said, and was almost" | | 15 | "It wasn't a laugh, not" | | 16 | "It was the shape a" | | 17 | "She took one step backwards." | | 18 | "Her heel found the flat" | | 19 | "she said, to no one," |
| | ratio | 0.317 | |
| 81.95% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 62 | | totalSentences | 82 | | matches | | 0 | "The torch beam trembled across" | | 1 | "Rory lowered the light, steadied" | | 2 | "The oak held still this" | | 3 | "She flexed her fingers around" | | 4 | "she said, and her voice" | | 5 | "Richmond Park at night was" | | 6 | "That was half the point." | | 7 | "The gates had been shut" | | 8 | "She'd found the standing stones" | | 9 | "The Heartstone sat warm against" | | 10 | "A small, steady pulse, no" | | 11 | "She stepped between two of" | | 12 | "The air changed." | | 13 | "She'd been warned about that" | | 14 | "The cold of the October" | | 15 | "Wildflowers open, nodding, pale as" | | 16 | "The moon overhead looked larger" | | 17 | "She hadn't expected one." | | 18 | "Isolde wasn't the sort to" | | 19 | "She crossed to it, boots" |
| | ratio | 0.756 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 82 | | matches | | 0 | "Now they were furled tight," | | 1 | "Because there should have been" |
| | ratio | 0.024 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 30 | | technicalSentenceCount | 1 | | matches | | 0 | "She stood slowly, because quick movements felt like a mistake, and her legs felt longer than they should, as if the grove had stretched her out to make her easi…" |
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| 25.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 1 | | matches | | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 11 | | tagDensity | 0.455 | | leniency | 0.909 | | rawRatio | 0 | | effectiveRatio | 0 | |