| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 14 | | tagDensity | 0.786 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1008 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 55.36% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1008 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "throbbed" | | 1 | "pulsed" | | 2 | "weight" | | 3 | "could feel" | | 4 | "loomed" | | 5 | "silence" | | 6 | "footsteps" | | 7 | "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 | 0 | | narrationSentences | 126 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 126 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 130 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 27 | | 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 | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 13 | | wordCount | 935 | | uniqueNames | 7 | | maxNameDensity | 0.75 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Roehampton | 1 | | Vale | 1 | | Richmond | 1 | | Park | 1 | | December | 1 | | Rory | 7 | | Silence | 1 |
| | persons | | | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "December" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 68 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1008 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 130 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 40 | | mean | 25.2 | | std | 17.39 | | cv | 0.69 | | sampleLengths | | 0 | 64 | | 1 | 28 | | 2 | 55 | | 3 | 56 | | 4 | 52 | | 5 | 2 | | 6 | 28 | | 7 | 7 | | 8 | 24 | | 9 | 47 | | 10 | 4 | | 11 | 46 | | 12 | 31 | | 13 | 7 | | 14 | 21 | | 15 | 24 | | 16 | 11 | | 17 | 48 | | 18 | 35 | | 19 | 6 | | 20 | 28 | | 21 | 14 | | 22 | 51 | | 23 | 6 | | 24 | 15 | | 25 | 28 | | 26 | 5 | | 27 | 11 | | 28 | 31 | | 29 | 26 | | 30 | 27 | | 31 | 13 | | 32 | 47 | | 33 | 25 | | 34 | 4 | | 35 | 40 | | 36 | 15 | | 37 | 5 | | 38 | 16 | | 39 | 5 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 126 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 146 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 130 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 163 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 3 | | adverbRatio | 0.018404907975460124 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 130 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 130 | | mean | 7.75 | | std | 5.56 | | cv | 0.717 | | sampleLengths | | 0 | 17 | | 1 | 16 | | 2 | 8 | | 3 | 23 | | 4 | 9 | | 5 | 7 | | 6 | 8 | | 7 | 4 | | 8 | 9 | | 9 | 8 | | 10 | 10 | | 11 | 2 | | 12 | 26 | | 13 | 8 | | 14 | 26 | | 15 | 9 | | 16 | 13 | | 17 | 6 | | 18 | 8 | | 19 | 16 | | 20 | 8 | | 21 | 2 | | 22 | 12 | | 23 | 2 | | 24 | 2 | | 25 | 4 | | 26 | 16 | | 27 | 6 | | 28 | 7 | | 29 | 3 | | 30 | 7 | | 31 | 3 | | 32 | 11 | | 33 | 5 | | 34 | 13 | | 35 | 18 | | 36 | 5 | | 37 | 6 | | 38 | 4 | | 39 | 7 | | 40 | 6 | | 41 | 10 | | 42 | 10 | | 43 | 2 | | 44 | 4 | | 45 | 1 | | 46 | 6 | | 47 | 15 | | 48 | 2 | | 49 | 1 |
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| 36.43% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 18 | | diversityRatio | 0.3023255813953488 | | totalSentences | 129 | | uniqueOpeners | 39 | |
| 63.49% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 105 | | matches | | 0 | "Just bark and a spill" | | 1 | "Even the insects stopped." |
| | ratio | 0.019 | |
| 75.24% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 38 | | totalSentences | 105 | | matches | | 0 | "She pulled her jacket tighter" | | 1 | "She stopped and listened." | | 2 | "She had not planned to" | | 3 | "They stood in a loose" | | 4 | "She stepped past them and" | | 5 | "She kept her hands up," | | 6 | "She pulled the chain out." | | 7 | "She had received it three" | | 8 | "She had worn it since." | | 9 | "It had never done this" | | 10 | "She took three steps into" | | 11 | "She checked her watch." | | 12 | "She had not walked that" | | 13 | "Her voice sounded thin." | | 14 | "It came back to her" | | 15 | "She could feel it through" | | 16 | "She held it up and" | | 17 | "She backed a step." | | 18 | "Their roots formed a pattern" | | 19 | "She turned and the rustle" |
| | ratio | 0.362 | |
| 12.38% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 94 | | totalSentences | 105 | | matches | | 0 | "Rory parked the bike behind" | | 1 | "The streetlights thinned out past" | | 2 | "She pulled her jacket tighter" | | 3 | "The pendant hung against her" | | 4 | "She stopped and listened." | | 5 | "She had not planned to" | | 6 | "Eva had sent the message" | | 7 | "Rory had left a delivery" | | 8 | "Richmond Park opened before her" | | 9 | "The oak line rose ahead," | | 10 | "Wildflowers pushed up between the" | | 11 | "The standing stones marked the" | | 12 | "They stood in a loose" | | 13 | "She stepped past them and" | | 14 | "The city hum that had" | | 15 | "The voice came from the" | | 16 | "She kept her hands up," | | 17 | "The flowers moved." | | 18 | "A ripple passed through them" | | 19 | "The pendant warmed." |
| | ratio | 0.895 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 105 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 32 | | technicalSentenceCount | 1 | | matches | | 0 | "She saw the edge of it now, a suggestion of bark and a suggestion of skin, something that belonged to the grove and to nothing else." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 14 | | tagDensity | 0.714 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |