| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 18 | | tagDensity | 0.222 | | leniency | 0.444 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1964 | | 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) | |
| 84.73% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1964 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "familiar" | | 1 | "warmth" | | 2 | "pulse" | | 3 | "flicked" | | 4 | "pulsed" | | 5 | "trembled" |
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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 | 207 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 4 | | narrationSentences | 207 | | filterMatches | (empty) | | hedgeMatches | | 0 | "seemed to" | | 1 | "began to" | | 2 | "tend to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 221 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 24 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1964 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 51 | | wordCount | 1902 | | uniqueNames | 6 | | maxNameDensity | 1.58 | | worstName | "Aurora" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Aurora" | | discoveredNames | | Aurora | 30 | | Isolde | 8 | | Heartstone | 4 | | Park | 1 | | Hel | 1 | | Eva | 7 |
| | persons | | 0 | "Aurora" | | 1 | "Isolde" | | 2 | "Heartstone" | | 3 | "Eva" |
| | places | | | globalScore | 0.711 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 148 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.509 | | wordCount | 1964 | | matches | | 0 | "not a good reason to step across the boundary, but she could hardly ask Isolde whether she had sent it from out" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 221 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 81 | | mean | 24.25 | | std | 21.08 | | cv | 0.87 | | sampleLengths | | 0 | 37 | | 1 | 53 | | 2 | 5 | | 3 | 86 | | 4 | 22 | | 5 | 6 | | 6 | 5 | | 7 | 67 | | 8 | 24 | | 9 | 66 | | 10 | 3 | | 11 | 31 | | 12 | 1 | | 13 | 19 | | 14 | 55 | | 15 | 16 | | 16 | 46 | | 17 | 12 | | 18 | 3 | | 19 | 47 | | 20 | 7 | | 21 | 46 | | 22 | 6 | | 23 | 38 | | 24 | 14 | | 25 | 54 | | 26 | 1 | | 27 | 59 | | 28 | 8 | | 29 | 15 | | 30 | 2 | | 31 | 16 | | 32 | 1 | | 33 | 53 | | 34 | 23 | | 35 | 7 | | 36 | 6 | | 37 | 2 | | 38 | 38 | | 39 | 2 | | 40 | 20 | | 41 | 4 | | 42 | 3 | | 43 | 40 | | 44 | 5 | | 45 | 4 | | 46 | 51 | | 47 | 43 | | 48 | 21 | | 49 | 1 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 207 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 318 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 2 | | flaggedSentences | 2 | | totalSentences | 221 | | ratio | 0.009 | | matches | | 0 | "Wind moved through the branches above her; her boot pressed water from the grass." | | 1 | "She had stepped towards the open path; she was now beside the crooked ash near the middle of the grove." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1903 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 38 | | adverbRatio | 0.019968470835522858 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.004203888596952181 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 221 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 221 | | mean | 8.89 | | std | 5.21 | | cv | 0.586 | | sampleLengths | | 0 | 13 | | 1 | 2 | | 2 | 6 | | 3 | 16 | | 4 | 4 | | 5 | 21 | | 6 | 12 | | 7 | 16 | | 8 | 5 | | 9 | 9 | | 10 | 2 | | 11 | 3 | | 12 | 9 | | 13 | 14 | | 14 | 10 | | 15 | 15 | | 16 | 24 | | 17 | 7 | | 18 | 15 | | 19 | 4 | | 20 | 2 | | 21 | 5 | | 22 | 6 | | 23 | 8 | | 24 | 14 | | 25 | 7 | | 26 | 8 | | 27 | 24 | | 28 | 3 | | 29 | 9 | | 30 | 12 | | 31 | 8 | | 32 | 16 | | 33 | 6 | | 34 | 12 | | 35 | 4 | | 36 | 20 | | 37 | 3 | | 38 | 5 | | 39 | 15 | | 40 | 4 | | 41 | 5 | | 42 | 2 | | 43 | 1 | | 44 | 9 | | 45 | 10 | | 46 | 5 | | 47 | 2 | | 48 | 19 | | 49 | 5 |
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| 47.29% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.24434389140271492 | | totalSentences | 221 | | uniqueOpeners | 54 | |
| 17.18% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 194 | | matches | | 0 | "Then a third hand pressed" |
| | ratio | 0.005 | |
| 88.04% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 64 | | totalSentences | 194 | | matches | | 0 | "She slipped the phone into" | | 1 | "She had come for Isolde." | | 2 | "It had arrived from a" | | 3 | "It was not a good" | | 4 | "Its small crimson stone rested" | | 5 | "She crossed between the stones." | | 6 | "She took another step and" | | 7 | "She looked back." | | 8 | "It showed through the flowers," | | 9 | "She knew the place." | | 10 | "She turned towards the sound." | | 11 | "It had come from the" | | 12 | "She waited for a second." | | 13 | "She pulled out her phone." | | 14 | "She opened the message again." | | 15 | "She typed, I’m at the" | | 16 | "Its light caught the wet" | | 17 | "She moved closer, keeping her" | | 18 | "She stepped back." | | 19 | "It passed around her legs" |
| | ratio | 0.33 | |
| 52.78% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 158 | | totalSentences | 194 | | matches | | 0 | "Aurora stopped at the oak" | | 1 | "She slipped the phone into" | | 2 | "Wildflowers covered the clearing." | | 3 | "She had come for Isolde." | | 4 | "The message had given her" | | 5 | "It had arrived from a" | | 6 | "Isolde would have known a" | | 7 | "That was one reason Aurora" | | 8 | "It was not a good" | | 9 | "Aurora held the pendant through" | | 10 | "Its small crimson stone rested" | | 11 | "She crossed between the stones." | | 12 | "The traffic from the road" | | 13 | "She took another step and" | | 14 | "Wind moved through the branches" | | 15 | "Richmond Park had never been" | | 16 | "Deer shifted in the bracken," | | 17 | "She looked back." | | 18 | "The two stones stood where" | | 19 | "Aurora walked towards the centre" |
| | ratio | 0.814 | |
| 25.77% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 194 | | matches | | 0 | "If you reach the stones" |
| | ratio | 0.005 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 83 | | technicalSentenceCount | 1 | | matches | | 0 | "In the thin moonlight, their yellow and white heads showed among the grass, fresh as if they had opened that morning." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 38.89% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 2 | | fancyTags | | 0 | "she murmured (murmur)" | | 1 | "Aurora spoke (speak)" |
| | dialogueSentences | 18 | | tagDensity | 0.222 | | leniency | 0.444 | | rawRatio | 0.5 | | effectiveRatio | 0.222 | |