| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 19 | | adverbTagCount | 2 | | adverbTags | | 0 | "Nyx flowed alongside [alongside]" | | 1 | "Eva edged away [away]" |
| | dialogueSentences | 43 | | tagDensity | 0.442 | | leniency | 0.884 | | rawRatio | 0.105 | | effectiveRatio | 0.093 | |
| 95.31% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1066 | | 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) | |
| 81.24% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1066 | | totalAiIsms | 4 | | found | | | highlights | | 0 | "throb" | | 1 | "warmth" | | 2 | "shimmered" | | 3 | "chill" |
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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 | 1 | | narrationSentences | 63 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 63 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 87 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 37 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1059 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 37 | | wordCount | 731 | | uniqueNames | 10 | | maxNameDensity | 1.64 | | worstName | "Rory" | | maxWindowNameDensity | 3 | | worstWindowName | "Rory" | | discoveredNames | | Nyx | 5 | | Eva | 7 | | Rory | 12 | | Richmond | 1 | | Park | 1 | | Heathrow | 1 | | Isolde | 7 | | Grove | 1 | | Heartstone | 1 | | Fae | 1 |
| | persons | | 0 | "Nyx" | | 1 | "Eva" | | 2 | "Rory" | | 3 | "Heathrow" | | 4 | "Isolde" | | 5 | "Grove" |
| | places | | | globalScore | 0.679 | | windowScore | 0.667 | |
| 94.44% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 45 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.944 | | wordCount | 1059 | | matches | | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 87 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 39 | | mean | 27.15 | | std | 19.52 | | cv | 0.719 | | sampleLengths | | 0 | 34 | | 1 | 10 | | 2 | 35 | | 3 | 28 | | 4 | 12 | | 5 | 70 | | 6 | 3 | | 7 | 10 | | 8 | 64 | | 9 | 13 | | 10 | 46 | | 11 | 27 | | 12 | 4 | | 13 | 28 | | 14 | 54 | | 15 | 4 | | 16 | 12 | | 17 | 27 | | 18 | 20 | | 19 | 51 | | 20 | 21 | | 21 | 9 | | 22 | 33 | | 23 | 3 | | 24 | 23 | | 25 | 14 | | 26 | 40 | | 27 | 57 | | 28 | 6 | | 29 | 9 | | 30 | 52 | | 31 | 50 | | 32 | 5 | | 33 | 62 | | 34 | 13 | | 35 | 53 | | 36 | 15 | | 37 | 18 | | 38 | 24 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 63 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 125 | | matches | (empty) | |
| 11.49% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 87 | | ratio | 0.046 | | matches | | 0 | "Behind her the noise of Richmond Park—dog walkers, distant traffic, the drone of a plane stacking for Heathrow—cut off as cleanly as a closed door." | | 1 | "Grass too green, threaded with wildflowers that had no business sharing a season—snowdrops nodding beside foxgloves, primrose tangled with autumn crocus, all of it blooming at once." | | 2 | "She left no mark in the grass—no bent stem, no flattened blade, as if she weighed nothing at all." | | 3 | "A sound moved through the trees then—a long, belling note, half birdsong and half struck glass." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 741 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 25 | | adverbRatio | 0.033738191632928474 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.004048582995951417 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 87 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 87 | | mean | 12.17 | | std | 8.12 | | cv | 0.667 | | sampleLengths | | 0 | 23 | | 1 | 11 | | 2 | 5 | | 3 | 5 | | 4 | 28 | | 5 | 7 | | 6 | 12 | | 7 | 16 | | 8 | 12 | | 9 | 2 | | 10 | 21 | | 11 | 25 | | 12 | 2 | | 13 | 20 | | 14 | 3 | | 15 | 10 | | 16 | 15 | | 17 | 27 | | 18 | 7 | | 19 | 15 | | 20 | 4 | | 21 | 9 | | 22 | 22 | | 23 | 24 | | 24 | 6 | | 25 | 18 | | 26 | 3 | | 27 | 4 | | 28 | 21 | | 29 | 7 | | 30 | 9 | | 31 | 19 | | 32 | 13 | | 33 | 13 | | 34 | 4 | | 35 | 8 | | 36 | 4 | | 37 | 10 | | 38 | 17 | | 39 | 5 | | 40 | 15 | | 41 | 9 | | 42 | 21 | | 43 | 4 | | 44 | 17 | | 45 | 8 | | 46 | 13 | | 47 | 9 | | 48 | 16 | | 49 | 3 |
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| 83.52% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.5287356321839081 | | totalSentences | 87 | | uniqueOpeners | 46 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 54 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 8 | | totalSentences | 54 | | matches | | 0 | "She pulled back." | | 1 | "She left no mark in" | | 2 | "Her hair caught the gold" | | 3 | "She turned and walked deeper." | | 4 | "They lifted one shadow-hand, and" | | 5 | "They climbed the rise." | | 6 | "She set her hand on" | | 7 | "She pressed her wrist to" |
| | ratio | 0.148 | |
| 6.30% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 49 | | totalSentences | 54 | | matches | | 0 | "The standing stones rose out" | | 1 | "Rory pressed her palm against" | | 2 | "Nyx flowed alongside her, their" | | 3 | "Eva hung back at Rory's" | | 4 | "Nyx slid between two stones" | | 5 | "The air changed the instant" | | 6 | "The stones still stood, but" | | 7 | "Eva stepped through, swore under" | | 8 | "The clearing opened in front" | | 9 | "Grass too green, threaded with" | | 10 | "The light came from everywhere" | | 11 | "Nyx drifted to the centre" | | 12 | "Rory knelt and touched a" | | 13 | "The bell of it curled" | | 14 | "She pulled back." | | 15 | "A new voice, threaded with" | | 16 | "Isolde stepped out of the" | | 17 | "She left no mark in" | | 18 | "Her hair caught the gold" | | 19 | "Rory got to her feet" |
| | ratio | 0.907 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 54 | | matches | (empty) | | ratio | 0 | |
| 68.97% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 29 | | technicalSentenceCount | 3 | | matches | | 0 | "Grass too green, threaded with wildflowers that had no business sharing a season—snowdrops nodding beside foxgloves, primrose tangled with autumn crocus, all of…" | | 1 | "The wildflowers gave way to a stream that ran uphill, water sliding over pale stones with a sound like soft laughter." | | 2 | "The Fae blade rode cold against her hip, a small hard certainty in a place that felt made of dreams." |
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| 98.68% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 19 | | uselessAdditionCount | 1 | | matches | | 0 | "Isolde said, without looking back" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 1 | | fancyTags | | 0 | "she breathed (breathe)" |
| | dialogueSentences | 43 | | tagDensity | 0.14 | | leniency | 0.279 | | rawRatio | 0.167 | | effectiveRatio | 0.047 | |