| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 1 | | adverbTags | | 0 | "Isolde said quietly [quietly]" |
| | dialogueSentences | 24 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0.083 | | effectiveRatio | 0.083 | |
| 85.22% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1015 | | totalAiIsmAdverbs | 3 | | found | | 0 | | adverb | "deliberately" | | count | 1 |
| | 1 | | | 2 | |
| | highlights | | 0 | "deliberately" | | 1 | "perfectly" | | 2 | "very" |
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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) | |
| 75.37% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1015 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "measured" | | 1 | "comforting" | | 2 | "pulse" | | 3 | "throb" | | 4 | "warmth" |
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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 | 62 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 62 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 74 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 41 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1015 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 41.83% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 39 | | wordCount | 832 | | uniqueNames | 11 | | maxNameDensity | 2.16 | | worstName | "Rory" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 18 | | London | 1 | | November | 1 | | Richmond | 1 | | Isolde | 9 | | Veil | 1 | | Thames | 1 | | Shade | 1 | | Nyx | 4 | | Heartstone | 1 | | Dymas | 1 |
| | persons | | 0 | "Rory" | | 1 | "November" | | 2 | "Isolde" | | 3 | "Nyx" | | 4 | "Heartstone" | | 5 | "Dymas" |
| | places | | 0 | "London" | | 1 | "Richmond" | | 2 | "Thames" | | 3 | "Shade" |
| | globalScore | 0.418 | | windowScore | 0.5 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 43 | | glossingSentenceCount | 3 | | matches | | 0 | "seemed made of the same stuff as the deepest hour of night, faint violet eyes like coals under ash" | | 1 | "seemed almost solid" | | 2 | "seemed colder still, and when she passed a patch of moonlight falling through a gap in the canopy, its sheath gave off a faint silver glimmer, though the light was not moonlight at all" |
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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 | 1015 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 74 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 31 | | mean | 32.74 | | std | 25.69 | | cv | 0.784 | | sampleLengths | | 0 | 33 | | 1 | 30 | | 2 | 56 | | 3 | 53 | | 4 | 58 | | 5 | 47 | | 6 | 5 | | 7 | 12 | | 8 | 98 | | 9 | 5 | | 10 | 67 | | 11 | 9 | | 12 | 30 | | 13 | 2 | | 14 | 8 | | 15 | 18 | | 16 | 53 | | 17 | 69 | | 18 | 4 | | 19 | 32 | | 20 | 4 | | 21 | 8 | | 22 | 54 | | 23 | 9 | | 24 | 19 | | 25 | 19 | | 26 | 82 | | 27 | 60 | | 28 | 20 | | 29 | 32 | | 30 | 19 |
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| 99.60% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 62 | | matches | | |
| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 133 | | matches | | 0 | "were passing" | | 1 | "was not looking" | | 2 | "were drinking" | | 3 | "were 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 | 74 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 342 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 10 | | adverbRatio | 0.029239766081871343 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.008771929824561403 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 74 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 74 | | mean | 13.72 | | std | 9.66 | | cv | 0.705 | | sampleLengths | | 0 | 25 | | 1 | 1 | | 2 | 7 | | 3 | 8 | | 4 | 16 | | 5 | 6 | | 6 | 17 | | 7 | 25 | | 8 | 14 | | 9 | 8 | | 10 | 9 | | 11 | 36 | | 12 | 24 | | 13 | 12 | | 14 | 22 | | 15 | 7 | | 16 | 25 | | 17 | 15 | | 18 | 5 | | 19 | 12 | | 20 | 30 | | 21 | 2 | | 22 | 41 | | 23 | 6 | | 24 | 19 | | 25 | 5 | | 26 | 2 | | 27 | 16 | | 28 | 18 | | 29 | 31 | | 30 | 4 | | 31 | 5 | | 32 | 7 | | 33 | 23 | | 34 | 2 | | 35 | 8 | | 36 | 18 | | 37 | 2 | | 38 | 26 | | 39 | 9 | | 40 | 16 | | 41 | 8 | | 42 | 32 | | 43 | 8 | | 44 | 21 | | 45 | 4 | | 46 | 5 | | 47 | 22 | | 48 | 5 | | 49 | 4 |
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| 75.23% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.4594594594594595 | | totalSentences | 74 | | uniqueOpeners | 34 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 50 | | matches | | 0 | "Then the path had simply" | | 1 | "Then the frost was gone." |
| | ratio | 0.04 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 10 | | totalSentences | 50 | | matches | | 0 | "It was the pale grey" | | 1 | "Her voice was low and" | | 2 | "She had felt it before," | | 3 | "Her breath did not fog." | | 4 | "She touched it through her" | | 5 | "She glanced at Isolde's back." | | 6 | "She kept walking." | | 7 | "She had carried it since" | | 8 | "It was simply the grove's" | | 9 | "Her pendant answered it, and" |
| | ratio | 0.2 | |
| 30.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 43 | | totalSentences | 50 | | matches | | 0 | "The oak stones stood in" | | 1 | "The first count had given" | | 2 | "Nyx said at her shoulder" | | 3 | "The voice arrived the way" | | 4 | "Rory kept her hands in" | | 5 | "London's November had followed her" | | 6 | "That was the part Rory" | | 7 | "Isolde's feet had made no" | | 8 | "Rory had looked back once," | | 9 | "The sky, Rory saw as" | | 10 | "It was the pale grey" | | 11 | "Isolde said without turning" | | 12 | "Her voice was low and" | | 13 | "Rory stepped over the root-knot" | | 14 | "She had felt it before," | | 15 | "Here it was not a" | | 16 | "Here it was a membrane," | | 17 | "Wildflowers pushed through it in" | | 18 | "A bee the size of" | | 19 | "Her breath did not fog." |
| | ratio | 0.86 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 50 | | matches | | 0 | "Now Isolde moved ahead through" | | 1 | "Now it seemed colder still," |
| | ratio | 0.04 | |
| 50.69% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 31 | | technicalSentenceCount | 4 | | matches | | 0 | "Now Isolde moved ahead through the stones, silver hair falling to her waist and catching a light that did not come from the sky." | | 1 | "Rory had grown used to the Shade's outline, the tall humanoid silhouette that seemed made of the same stuff as the deepest hour of night, faint violet eyes like…" | | 2 | "Rory stepped closer, her breath catching, and the surface rippled once, outward, as if something beneath had turned over in its sleep." | | 3 | "Her pendant answered it, and the grove went very still around them, as though it were holding its breath." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 24 | | tagDensity | 0.417 | | leniency | 0.833 | | rawRatio | 0 | | effectiveRatio | 0 | |