| 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 | |
| 95.51% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1114 | | totalAiIsmAdverbs | 1 | | found | | | 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) | |
| 46.14% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1114 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "silence" | | 1 | "flickered" | | 2 | "fractured" | | 3 | "raced" | | 4 | "weight" | | 5 | "fluttered" | | 6 | "pulsed" | | 7 | "echoed" | | 8 | "searing" | | 9 | "glistening" |
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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 | 95 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 95 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 101 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 36 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1114 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 32 | | wordCount | 1051 | | uniqueNames | 11 | | maxNameDensity | 1.52 | | worstName | "Rory" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Rory" | | discoveredNames | | Isolde | 3 | | South | 1 | | London | 1 | | Heartstone | 3 | | Golden | 1 | | Empress | 1 | | Richmond | 2 | | Park | 2 | | Yu-Fei | 1 | | Rory | 16 | | Cardiff | 1 |
| | persons | | 0 | "Isolde" | | 1 | "Heartstone" | | 2 | "Yu-Fei" | | 3 | "Rory" |
| | places | | 0 | "South" | | 1 | "London" | | 2 | "Golden" | | 3 | "Richmond" | | 4 | "Park" | | 5 | "Cardiff" |
| | globalScore | 0.739 | | windowScore | 0.5 | |
| 80.56% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 72 | | glossingSentenceCount | 2 | | matches | | 0 | "seemed smaller now" | | 1 | "sounded like Isolde, but ruined, the conso" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1114 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 101 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 48 | | mean | 23.21 | | std | 17.71 | | cv | 0.763 | | sampleLengths | | 0 | 29 | | 1 | 32 | | 2 | 26 | | 3 | 43 | | 4 | 75 | | 5 | 4 | | 6 | 14 | | 7 | 57 | | 8 | 57 | | 9 | 5 | | 10 | 34 | | 11 | 5 | | 12 | 1 | | 13 | 22 | | 14 | 1 | | 15 | 16 | | 16 | 31 | | 17 | 2 | | 18 | 46 | | 19 | 18 | | 20 | 6 | | 21 | 35 | | 22 | 14 | | 23 | 1 | | 24 | 35 | | 25 | 35 | | 26 | 15 | | 27 | 23 | | 28 | 6 | | 29 | 66 | | 30 | 29 | | 31 | 10 | | 32 | 5 | | 33 | 36 | | 34 | 23 | | 35 | 24 | | 36 | 25 | | 37 | 4 | | 38 | 37 | | 39 | 5 | | 40 | 12 | | 41 | 3 | | 42 | 31 | | 43 | 29 | | 44 | 7 | | 45 | 39 | | 46 | 18 | | 47 | 23 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 95 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 167 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 101 | | ratio | 0 | | matches | (empty) | |
| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1059 | | adjectiveStacks | 2 | | stackExamples | | 0 | "small crescent-shaped scar" | | 1 | "same foul, clear grease." |
| | adverbCount | 22 | | adverbRatio | 0.02077431539187913 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.0084985835694051 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 101 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 101 | | mean | 11.03 | | std | 6.65 | | cv | 0.603 | | sampleLengths | | 0 | 13 | | 1 | 16 | | 2 | 20 | | 3 | 12 | | 4 | 5 | | 5 | 21 | | 6 | 12 | | 7 | 12 | | 8 | 14 | | 9 | 3 | | 10 | 2 | | 11 | 4 | | 12 | 9 | | 13 | 14 | | 14 | 13 | | 15 | 4 | | 16 | 31 | | 17 | 4 | | 18 | 8 | | 19 | 6 | | 20 | 5 | | 21 | 27 | | 22 | 4 | | 23 | 21 | | 24 | 8 | | 25 | 11 | | 26 | 7 | | 27 | 17 | | 28 | 14 | | 29 | 5 | | 30 | 10 | | 31 | 18 | | 32 | 6 | | 33 | 5 | | 34 | 1 | | 35 | 10 | | 36 | 12 | | 37 | 1 | | 38 | 16 | | 39 | 9 | | 40 | 22 | | 41 | 2 | | 42 | 11 | | 43 | 12 | | 44 | 10 | | 45 | 13 | | 46 | 7 | | 47 | 4 | | 48 | 7 | | 49 | 6 |
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| 58.42% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.38613861386138615 | | totalSentences | 101 | | uniqueOpeners | 39 | |
| 36.63% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 91 | | matches | | | ratio | 0.011 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 21 | | totalSentences | 91 | | matches | | 0 | "She slipped between two colossal" | | 1 | "Her fingers went straight to" | | 2 | "It remained cold." | | 3 | "She checked her mobile." | | 4 | "She knew the rules." | | 5 | "Her voice died an inch" | | 6 | "Her bright blue eyes darted" | | 7 | "It resembled the sound of" | | 8 | "It drifted lazily, turning end" | | 9 | "It was green, moist, and" | | 10 | "It reeked of sulphur and" | | 11 | "It did not bob or" | | 12 | "It slipped sideways, a tall" | | 13 | "she commanded, keeping her chin" | | 14 | "She rubbed her left forearm," | | 15 | "He used to love that" | | 16 | "It sat four feet off" | | 17 | "They were not human eyes." | | 18 | "They sat too far apart," | | 19 | "Its jaw unhinged with a" |
| | ratio | 0.231 | |
| 53.41% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 74 | | totalSentences | 91 | | matches | | 0 | "Rory ducked beneath the barbed" | | 1 | "The tear in her sleeve" | | 2 | "She slipped between two colossal" | | 3 | "The city vanished behind her." | | 4 | "The dull hum of South" | | 5 | "Rory shook out her shoulders," | | 6 | "Her fingers went straight to" | | 7 | "The Heartstone rested against her" | | 8 | "It remained cold." | | 9 | "She checked her mobile." | | 10 | "Time dragged its heels in" | | 11 | "She knew the rules." | | 12 | "Rory called out" | | 13 | "Her voice died an inch" | | 14 | "The air swallowed the syllables" | | 15 | "The scent hanging over the" | | 16 | "Rory walked toward the centre" | | 17 | "A flat slab of grey" | | 18 | "Isolde had promised the translation" | | 19 | "A simple exchange: two tins" |
| | ratio | 0.813 | |
| 54.95% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 91 | | matches | | 0 | "To her right, a shadow" |
| | ratio | 0.011 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 52 | | technicalSentenceCount | 1 | | matches | | 0 | "Down near the mossy soil, bluebells and white stitchwort clustered in dense rings, vibrant and plump, blooming out of season as though spring never left the cle…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 2 | | fancyTags | | 0 | "a voice hissed (hiss)" | | 1 | "the voice whispered (whisper)" |
| | dialogueSentences | 11 | | tagDensity | 0.273 | | leniency | 0.545 | | rawRatio | 0.667 | | effectiveRatio | 0.364 | |