| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 20 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 919 | | 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) | |
| 45.59% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 919 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "pulsed" | | 1 | "warmth" | | 2 | "racing" | | 3 | "perfect" | | 4 | "echoes" | | 5 | "trembled" | | 6 | "weight" |
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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 | 78 | | matches | (empty) | |
| 87.91% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 3 | | narrationSentences | 78 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 90 | | 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 | 919 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 58.45% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 32 | | wordCount | 710 | | uniqueNames | 17 | | maxNameDensity | 1.83 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rory" | | discoveredNames | | Richmond | 1 | | Isolde | 1 | | Hel | 1 | | Cardiff | 2 | | London | 1 | | Evan | 2 | | Pre-Law | 1 | | University | 1 | | Yu-Fei | 1 | | Cheung | 1 | | Golden | 1 | | Empress | 1 | | Rory | 13 | | Earth | 1 | | Fae | 1 | | Eva | 2 | | Welsh | 1 |
| | persons | | 0 | "Evan" | | 1 | "Yu-Fei" | | 2 | "Cheung" | | 3 | "Empress" | | 4 | "Rory" | | 5 | "Eva" |
| | places | | 0 | "Richmond" | | 1 | "Isolde" | | 2 | "Cardiff" | | 3 | "London" | | 4 | "Earth" |
| | globalScore | 0.585 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 55 | | glossingSentenceCount | 1 | | matches | | |
| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 3 | | per1kWords | 3.264 | | wordCount | 919 | | matches | | 0 | "Not a body, but a pressure, a cold weight crushing air" | | 1 | "Not warm, but hungry" | | 2 | "not a creature, but a certainty: she had never been alone" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 90 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 32 | | mean | 28.72 | | std | 20.37 | | cv | 0.709 | | sampleLengths | | 0 | 63 | | 1 | 4 | | 2 | 45 | | 3 | 16 | | 4 | 3 | | 5 | 72 | | 6 | 11 | | 7 | 21 | | 8 | 42 | | 9 | 13 | | 10 | 51 | | 11 | 51 | | 12 | 19 | | 13 | 39 | | 14 | 53 | | 15 | 14 | | 16 | 26 | | 17 | 17 | | 18 | 30 | | 19 | 43 | | 20 | 4 | | 21 | 59 | | 22 | 19 | | 23 | 30 | | 24 | 34 | | 25 | 6 | | 26 | 50 | | 27 | 6 | | 28 | 5 | | 29 | 57 | | 30 | 4 | | 31 | 12 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 78 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 117 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 90 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 422 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 13 | | adverbRatio | 0.030805687203791468 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.011848341232227487 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 90 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 90 | | mean | 10.21 | | std | 7.33 | | cv | 0.718 | | sampleLengths | | 0 | 9 | | 1 | 20 | | 2 | 15 | | 3 | 6 | | 4 | 9 | | 5 | 4 | | 6 | 4 | | 7 | 14 | | 8 | 14 | | 9 | 9 | | 10 | 8 | | 11 | 11 | | 12 | 5 | | 13 | 3 | | 14 | 7 | | 15 | 14 | | 16 | 9 | | 17 | 18 | | 18 | 18 | | 19 | 6 | | 20 | 5 | | 21 | 6 | | 22 | 15 | | 23 | 6 | | 24 | 3 | | 25 | 16 | | 26 | 6 | | 27 | 4 | | 28 | 13 | | 29 | 5 | | 30 | 8 | | 31 | 24 | | 32 | 27 | | 33 | 10 | | 34 | 7 | | 35 | 21 | | 36 | 6 | | 37 | 3 | | 38 | 4 | | 39 | 15 | | 40 | 4 | | 41 | 7 | | 42 | 32 | | 43 | 6 | | 44 | 3 | | 45 | 1 | | 46 | 14 | | 47 | 5 | | 48 | 7 | | 49 | 17 |
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| 46.30% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.34444444444444444 | | totalSentences | 90 | | uniqueOpeners | 31 | |
| 90.09% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 74 | | matches | | 0 | "Only the certainty that she" | | 1 | "Then it looked at her." |
| | ratio | 0.027 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 16 | | totalSentences | 74 | | matches | | 0 | "She knew too well." | | 1 | "she said, though she already" | | 2 | "Her alias felt filthy in" | | 3 | "She had fled London, fled" | | 4 | "She had fled to Yu-Fei" | | 5 | "She had not fled for" | | 6 | "Her small crescent-shaped scar on" | | 7 | "She was cool-headed, intelligent, quick" | | 8 | "She needed that now." | | 9 | "She glanced at the carved" | | 10 | "She came here for a" | | 11 | "She had not intended to" | | 12 | "She had intended to survive," | | 13 | "She saw the portal then," | | 14 | "She threw the heartstone into" | | 15 | "She heard Eva's name on" |
| | ratio | 0.216 | |
| 34.32% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 63 | | totalSentences | 74 | | matches | | 0 | "The dark crimson stone pulsed" | | 1 | "Rory's fingers gripped it through" | | 2 | "The wildflowers bloomed year-round in" | | 3 | "Time moved differently inside Isolde's" | | 4 | "An hour here could be" | | 5 | "She knew too well." | | 6 | "The voice came from everywhere" | | 7 | "Rory spun, her blue eyes" | | 8 | "The heartstone warmed, warning of" | | 9 | "Wrongness clung to the air" | | 10 | "she said, though she already" | | 11 | "Her alias felt filthy in" | | 12 | "Rory backed toward the central" | | 13 | "The sweet scent of wildflowers" | | 14 | "She had fled London, fled" | | 15 | "She had fled to Yu-Fei" | | 16 | "She had not fled for" | | 17 | "A branch snapped behind her." | | 18 | "The shadow stretched between the" | | 19 | "Rory's breath hitched." |
| | ratio | 0.851 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 74 | | matches | (empty) | | ratio | 0 | |
| 83.33% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 24 | | technicalSentenceCount | 2 | | matches | | 0 | "Her small crescent-shaped scar on her left wrist itched, the childhood accident throbbing as if remembering." | | 1 | "She saw the portal then, a tear in the earth near the carved oak, exhaling a breath that smelled of her childhood accident, of copper and old water." |
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| 75.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 1 | | matches | | 0 | "Rory said, her voice steady despite the wrongness" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 1 | | fancyTags | | 0 | "the voice whispered (whisper)" |
| | dialogueSentences | 20 | | tagDensity | 0.3 | | leniency | 0.6 | | rawRatio | 0.167 | | effectiveRatio | 0.1 | |