| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 2 | | adverbTags | | 0 | "Nyx said quietly [quietly]" | | 1 | "Rory said slowly [slowly]" |
| | dialogueSentences | 18 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0.222 | | effectiveRatio | 0.222 | |
| 85.29% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1020 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "completely" | | 1 | "slowly" | | 2 | "quickly" |
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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) | |
| 65.69% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1020 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "furrowed" | | 1 | "wavered" | | 2 | "flickered" | | 3 | "pulse" | | 4 | "warmth" | | 5 | "comforting" |
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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 | 61 | | matches | (empty) | |
| 72.60% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 3 | | narrationSentences | 61 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 70 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 60 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1020 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 78.14% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 29 | | wordCount | 835 | | uniqueNames | 9 | | maxNameDensity | 1.44 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 12 | | Park | 1 | | Nyx | 4 | | Shade | 1 | | Heartstone | 1 | | Pendant | 1 | | Hel | 1 | | Soho | 1 | | Isolde | 7 |
| | persons | | 0 | "Rory" | | 1 | "Nyx" | | 2 | "Shade" | | 3 | "Isolde" |
| | places | | | globalScore | 0.781 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 47 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.98 | | wordCount | 1020 | | matches | | 0 | "Not the warmth of her body, but something deeper, a slow pulse like a second heartbeat tucke" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 70 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 23 | | mean | 44.35 | | std | 32.79 | | cv | 0.739 | | sampleLengths | | 0 | 75 | | 1 | 38 | | 2 | 14 | | 3 | 88 | | 4 | 26 | | 5 | 51 | | 6 | 6 | | 7 | 95 | | 8 | 19 | | 9 | 53 | | 10 | 7 | | 11 | 117 | | 12 | 30 | | 13 | 2 | | 14 | 67 | | 15 | 67 | | 16 | 10 | | 17 | 66 | | 18 | 77 | | 19 | 12 | | 20 | 10 | | 21 | 69 | | 22 | 21 |
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| 88.01% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 61 | | matches | | 0 | "was furrowed" | | 1 | "was ringed" | | 2 | "was flattened" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 128 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 70 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 837 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 29 | | adverbRatio | 0.03464755077658303 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.011947431302270013 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 70 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 70 | | mean | 14.57 | | std | 10.32 | | cv | 0.708 | | sampleLengths | | 0 | 13 | | 1 | 19 | | 2 | 25 | | 3 | 18 | | 4 | 6 | | 5 | 8 | | 6 | 17 | | 7 | 7 | | 8 | 3 | | 9 | 11 | | 10 | 23 | | 11 | 29 | | 12 | 9 | | 13 | 27 | | 14 | 7 | | 15 | 13 | | 16 | 6 | | 17 | 10 | | 18 | 21 | | 19 | 3 | | 20 | 17 | | 21 | 6 | | 22 | 6 | | 23 | 24 | | 24 | 33 | | 25 | 7 | | 26 | 25 | | 27 | 6 | | 28 | 13 | | 29 | 8 | | 30 | 17 | | 31 | 9 | | 32 | 19 | | 33 | 7 | | 34 | 16 | | 35 | 18 | | 36 | 3 | | 37 | 20 | | 38 | 29 | | 39 | 5 | | 40 | 26 | | 41 | 8 | | 42 | 5 | | 43 | 17 | | 44 | 2 | | 45 | 42 | | 46 | 9 | | 47 | 16 | | 48 | 6 | | 49 | 27 |
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| 63.81% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.44285714285714284 | | totalSentences | 70 | | uniqueOpeners | 31 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 56 | | matches | | 0 | "Then the grove opened around" | | 1 | "Then the shadow thickened into" | | 2 | "Then, despite herself, she looked" |
| | ratio | 0.054 | |
| 91.43% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 18 | | totalSentences | 56 | | matches | | 0 | "Their bark was furrowed and" | | 1 | "She did not look back" | | 2 | "Her silver hair moved against" | | 3 | "They had not yet fully" | | 4 | "They preferred the in-between, drifting" | | 5 | "Her ears popped." | | 6 | "She swallowed and said nothing" | | 7 | "Her wrist itched beneath her" | | 8 | "Her fingers found the chain" | | 9 | "It was warm." | | 10 | "She had felt it grow" | | 11 | "It was not crowded here." | | 12 | "It was not a question." | | 13 | "Her lavender eyes caught the" | | 14 | "They were long and narrow," | | 15 | "It had been cold since" | | 16 | "It was not cold now." | | 17 | "It was thrumming, faintly luminous," |
| | ratio | 0.321 | |
| 49.29% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 46 | | totalSentences | 56 | | matches | | 0 | "The oaks at the boundary" | | 1 | "Their bark was furrowed and" | | 2 | "Richmond Park lay behind them," | | 3 | "She did not look back" | | 4 | "Her silver hair moved against" | | 5 | "The Shade's outline wavered at" | | 6 | "They had not yet fully" | | 7 | "They preferred the in-between, drifting" | | 8 | "The voice seemed to come" | | 9 | "The last of the standing" | | 10 | "Rory felt it before she" | | 11 | "Her ears popped." | | 12 | "The sound of the city" | | 13 | "The clearing was ringed with" | | 14 | "Foxgloves stood tall and purple" | | 15 | "Bees drifted among them, heavy" | | 16 | "Rory watched one settle on" | | 17 | "Rory glanced down at the" | | 18 | "The grass beneath her boots" | | 19 | "Isolde had walked the same" |
| | ratio | 0.821 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 56 | | matches | (empty) | | ratio | 0 | |
| 79.83% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 34 | | technicalSentenceCount | 3 | | matches | | 0 | "Foxgloves stood tall and purple beside clusters of white anemone, and bluebells spilled down the banks of a stream that ran without a sound." | | 1 | "Then the shadow thickened into a tall, solid shape with a face that was almost human and eyes that burned brighter." | | 2 | "It was thrumming, faintly luminous, though there was no moon overhead, only a sky the colour of pewter and a single star that had not been there a minute ago." |
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| 69.44% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 1 | | matches | | 0 | "Isolde said, without turning around" |
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| 94.44% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 1 | | fancyTags | | 0 | "Nyx whispered (whisper)" |
| | dialogueSentences | 18 | | tagDensity | 0.444 | | leniency | 0.889 | | rawRatio | 0.125 | | effectiveRatio | 0.111 | |