| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 1 | | adverbTags | | 0 | "Isolde said slowly [slowly]" |
| | dialogueSentences | 28 | | tagDensity | 0.321 | | leniency | 0.643 | | rawRatio | 0.111 | | effectiveRatio | 0.071 | |
| 95.07% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1015 | | 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) | |
| 60.59% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1015 | | totalAiIsms | 8 | | found | | | highlights | | 0 | "whisper" | | 1 | "weight" | | 2 | "footsteps" | | 3 | "silk" | | 4 | "rhythmic" | | 5 | "comforting" | | 6 | "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 | 64 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 64 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 83 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 45 | | 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 | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 29 | | wordCount | 831 | | uniqueNames | 9 | | maxNameDensity | 1.32 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 11 | | Corsa | 1 | | Robin | 1 | | Hood | 1 | | Gate | 1 | | Isolde | 7 | | November | 1 | | Nyx | 5 | | Heartstone | 1 |
| | persons | | 0 | "Rory" | | 1 | "Robin" | | 2 | "Hood" | | 3 | "Gate" | | 4 | "Isolde" | | 5 | "Nyx" |
| | places | (empty) | | globalScore | 0.838 | | windowScore | 0.833 | |
| 91.86% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 43 | | glossingSentenceCount | 1 | | matches | | |
| 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 | 0 | | totalSentences | 83 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 36 | | mean | 28.19 | | std | 24.96 | | cv | 0.885 | | sampleLengths | | 0 | 59 | | 1 | 54 | | 2 | 23 | | 3 | 58 | | 4 | 6 | | 5 | 7 | | 6 | 12 | | 7 | 75 | | 8 | 6 | | 9 | 53 | | 10 | 3 | | 11 | 81 | | 12 | 11 | | 13 | 24 | | 14 | 4 | | 15 | 11 | | 16 | 75 | | 17 | 68 | | 18 | 56 | | 19 | 9 | | 20 | 33 | | 21 | 3 | | 22 | 19 | | 23 | 6 | | 24 | 2 | | 25 | 56 | | 26 | 8 | | 27 | 15 | | 28 | 12 | | 29 | 20 | | 30 | 39 | | 31 | 4 | | 32 | 59 | | 33 | 11 | | 34 | 12 | | 35 | 21 |
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| 99.78% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 64 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 136 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 83 | | ratio | 0 | | matches | (empty) | |
| 92.32% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 835 | | adjectiveStacks | 1 | | stackExamples | | | adverbCount | 35 | | adverbRatio | 0.041916167664670656 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.009580838323353293 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 83 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 83 | | mean | 12.23 | | std | 9.8 | | cv | 0.801 | | sampleLengths | | 0 | 33 | | 1 | 7 | | 2 | 19 | | 3 | 6 | | 4 | 5 | | 5 | 40 | | 6 | 3 | | 7 | 23 | | 8 | 11 | | 9 | 35 | | 10 | 12 | | 11 | 6 | | 12 | 7 | | 13 | 5 | | 14 | 7 | | 15 | 13 | | 16 | 7 | | 17 | 25 | | 18 | 2 | | 19 | 3 | | 20 | 25 | | 21 | 6 | | 22 | 7 | | 23 | 27 | | 24 | 12 | | 25 | 7 | | 26 | 3 | | 27 | 13 | | 28 | 4 | | 29 | 44 | | 30 | 13 | | 31 | 5 | | 32 | 2 | | 33 | 8 | | 34 | 3 | | 35 | 12 | | 36 | 12 | | 37 | 4 | | 38 | 11 | | 39 | 8 | | 40 | 29 | | 41 | 4 | | 42 | 34 | | 43 | 3 | | 44 | 16 | | 45 | 22 | | 46 | 16 | | 47 | 11 | | 48 | 4 | | 49 | 17 |
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| 74.30% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.4819277108433735 | | totalSentences | 83 | | uniqueOpeners | 40 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 56 | | matches | | 0 | "Only a faint silver tremor" | | 1 | "Then the flowers." | | 2 | "Somewhere ahead, water ran over" |
| | ratio | 0.054 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 16 | | totalSentences | 56 | | matches | | 0 | "Its trunk was wider than" | | 1 | "Its leaves hung motionless, though" | | 2 | "She had not turned around." | | 3 | "It was more like stepping" | | 4 | "Her footsteps made no noise" | | 5 | "They rose out of the" | | 6 | "She had spent three years" | | 7 | "They walked on." | | 8 | "It was low and rhythmic," | | 9 | "Her watch had stopped." | | 10 | "She had checked it at" | | 11 | "She drew it out." | | 12 | "She stopped walking." | | 13 | "She did not remember drawing" | | 14 | "She noticed only that her" | | 15 | "It carried the scent of" |
| | ratio | 0.286 | |
| 40.36% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 47 | | totalSentences | 56 | | matches | | 0 | "The oaks came first, or" | | 1 | "Its trunk was wider than" | | 2 | "Its leaves hung motionless, though" | | 3 | "She had not turned around." | | 4 | "Rory pulled her sleeve down" | | 5 | "Nyx unfolded from it the" | | 6 | "Isolde reached the boundary stones" | | 7 | "Rory watched the grass where" | | 8 | "The frost that furred the" | | 9 | "Rory crossed the line of" | | 10 | "The change was not a" | | 11 | "It was more like stepping" | | 12 | "The sound of traffic on" | | 13 | "Her footsteps made no noise" | | 14 | "They rose out of the" | | 15 | "Bluebells crowded against foxgloves." | | 16 | "Snowdrops pushed up through clumps" | | 17 | "Petals drifted down in the" | | 18 | "Nothing dropped to the ground." | | 19 | "Rory said, mostly to herself" |
| | ratio | 0.839 | |
| 89.29% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 56 | | matches | | 0 | "Now the hands had stalled" |
| | ratio | 0.018 | |
| 53.57% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 32 | | technicalSentenceCount | 4 | | matches | | 0 | "Silver hair fell past her waist, catching what little light the dusk still offered, and she moved toward the ring of standing stones as if the ground were a pol…" | | 1 | "Nyx unfolded from it the way smoke unfolds from a snuffed candle, a tall silhouette with edges that refused to settle, eyes burning a faint violet in a face tha…" | | 2 | "Only a faint silver tremor in the air where her hair swung, as if the air had been disturbed by something that had already left." | | 3 | "Snowdrops pushed up through clumps of late-summer clover, and fat heather bloomed in a purple tide against the roots of a fallen oak that was, Rory could see, b…" |
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| 69.44% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 1 | | matches | | 0 | "Rory said, mostly to herself" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 1 | | fancyTags | | 0 | "Nyx whispered (whisper)" |
| | dialogueSentences | 28 | | tagDensity | 0.321 | | leniency | 0.643 | | rawRatio | 0.111 | | effectiveRatio | 0.071 | |