| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 28 | | tagDensity | 0.036 | | leniency | 0.071 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2161 | | 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) | |
| 69.92% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2161 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "footfall" | | 1 | "echo" | | 2 | "trembled" | | 3 | "silk" | | 4 | "silence" | | 5 | "throbbed" | | 6 | "pulse" | | 7 | "whisper" | | 8 | "weight" | | 9 | "familiar" | | 10 | "fluttered" | | 11 | "pulsed" |
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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 | 304 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 304 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 331 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 25 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 2161 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 1 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 78 | | wordCount | 2085 | | uniqueNames | 21 | | maxNameDensity | 1.49 | | worstName | "Rory" | | maxWindowNameDensity | 3 | | worstWindowName | "Rory" | | discoveredNames | | Aurora | 2 | | Heartstone | 6 | | Pendant | 1 | | Park | 1 | | Yu-Fei | 2 | | Grove | 10 | | Golden | 2 | | Empress | 2 | | Isolde | 2 | | Rory | 31 | | Hel | 2 | | Cardiff | 2 | | University | 1 | | Richmond | 2 | | Fae | 1 | | Latin | 1 | | Carter | 2 | | Laila | 1 | | Evan | 3 | | Heartstones | 1 | | Knock | 3 |
| | persons | | 0 | "Aurora" | | 1 | "Heartstone" | | 2 | "Pendant" | | 3 | "Yu-Fei" | | 4 | "Grove" | | 5 | "Rory" | | 6 | "Latin" | | 7 | "Carter" | | 8 | "Laila" | | 9 | "Evan" | | 10 | "Knock" |
| | places | | 0 | "Park" | | 1 | "Golden" | | 2 | "Isolde" | | 3 | "Hel" | | 4 | "Cardiff" | | 5 | "University" | | 6 | "Richmond" |
| | globalScore | 0.757 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 172 | | glossingSentenceCount | 1 | | matches | | 0 | "appeared beneath her door after closing time at the Golden Empress" |
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| 61.18% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 3 | | per1kWords | 1.388 | | wordCount | 2161 | | matches | | 0 | "not with weight, but intent" | | 1 | "Not one voice now, but many" | | 2 | "not at her, but ahead" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 331 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 202 | | mean | 10.7 | | std | 12.46 | | cv | 1.165 | | sampleLengths | | 0 | 8 | | 1 | 33 | | 2 | 3 | | 3 | 4 | | 4 | 43 | | 5 | 2 | | 6 | 13 | | 7 | 1 | | 8 | 13 | | 9 | 27 | | 10 | 4 | | 11 | 12 | | 12 | 33 | | 13 | 3 | | 14 | 8 | | 15 | 6 | | 16 | 8 | | 17 | 63 | | 18 | 9 | | 19 | 54 | | 20 | 4 | | 21 | 7 | | 22 | 13 | | 23 | 1 | | 24 | 2 | | 25 | 59 | | 26 | 5 | | 27 | 32 | | 28 | 5 | | 29 | 26 | | 30 | 2 | | 31 | 4 | | 32 | 2 | | 33 | 6 | | 34 | 8 | | 35 | 2 | | 36 | 3 | | 37 | 30 | | 38 | 5 | | 39 | 12 | | 40 | 5 | | 41 | 1 | | 42 | 1 | | 43 | 2 | | 44 | 8 | | 45 | 31 | | 46 | 3 | | 47 | 13 | | 48 | 1 | | 49 | 1 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 304 | | matches | | 0 | "been carved" | | 1 | "been stitched" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 335 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 331 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 2092 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar." |
| | adverbCount | 46 | | adverbRatio | 0.02198852772466539 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.0028680688336520078 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 331 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 331 | | mean | 6.53 | | std | 4.59 | | cv | 0.702 | | sampleLengths | | 0 | 8 | | 1 | 15 | | 2 | 6 | | 3 | 12 | | 4 | 3 | | 5 | 4 | | 6 | 24 | | 7 | 9 | | 8 | 10 | | 9 | 2 | | 10 | 13 | | 11 | 1 | | 12 | 10 | | 13 | 3 | | 14 | 7 | | 15 | 2 | | 16 | 12 | | 17 | 6 | | 18 | 4 | | 19 | 8 | | 20 | 4 | | 21 | 14 | | 22 | 19 | | 23 | 3 | | 24 | 8 | | 25 | 6 | | 26 | 8 | | 27 | 8 | | 28 | 8 | | 29 | 12 | | 30 | 11 | | 31 | 24 | | 32 | 9 | | 33 | 6 | | 34 | 9 | | 35 | 14 | | 36 | 5 | | 37 | 20 | | 38 | 4 | | 39 | 7 | | 40 | 2 | | 41 | 11 | | 42 | 1 | | 43 | 2 | | 44 | 22 | | 45 | 13 | | 46 | 13 | | 47 | 5 | | 48 | 6 | | 49 | 5 |
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| 58.71% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.3595166163141994 | | totalSentences | 331 | | uniqueOpeners | 119 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 9 | | totalSentences | 247 | | matches | | 0 | "Only crushed leaves shifted beneath" | | 1 | "Instead, thorn bushes crowded the" | | 2 | "Most bad ideas did." | | 3 | "Instead, the Grove smelt of" | | 4 | "Then a fifth." | | 5 | "Then the voice spoke again." | | 6 | "Flat white faces nested among" | | 7 | "Bright blue eyes fixed on" | | 8 | "All saying the same word" |
| | ratio | 0.036 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 58 | | totalSentences | 247 | | matches | | 0 | "She stopped between two ancient" | | 1 | "Their bare limbs knotted together" | | 2 | "Her voice carried into the" | | 3 | "It sounded amused." | | 4 | "She drew her phone from" | | 5 | "She locked the screen." | | 6 | "She had told no one" | | 7 | "Their scents should have clashed." | | 8 | "She approached the stream." | | 9 | "She had found the name" | | 10 | "She crouched beside the stream" | | 11 | "Its silver chain trembled against" | | 12 | "It showed Rory leaning over" | | 13 | "She turned back to the" | | 14 | "Her reflection stared up at" | | 15 | "She recoiled, and her heel" | | 16 | "Their stems snapped with small," | | 17 | "It carried the same cloying" | | 18 | "She stepped across the stream." | | 19 | "Her boot landed among the" |
| | ratio | 0.235 | |
| 75.38% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 190 | | totalSentences | 247 | | matches | | 0 | "The thing behind Aurora matched" | | 1 | "She stopped between two ancient" | | 2 | "The answering footfall did not" | | 3 | "Rory looked back." | | 4 | "Richmond Park had vanished." | | 5 | "The path should have stretched" | | 6 | "Their bare limbs knotted together" | | 7 | "Her voice carried into the" | | 8 | "The echo used her own" | | 9 | "It sounded amused." | | 10 | "She drew her phone from" | | 11 | "The clock read 23:17, as" | | 12 | "She locked the screen." | | 13 | "An envelope had appeared beneath" | | 14 | "AURORA LAILA CARTER." | | 15 | "Rory rubbed her left wrist" | | 16 | "She had told no one" | | 17 | "Eva would have come armed" | | 18 | "Silas would have barred the" | | 19 | "The unknown benefactor who had" |
| | ratio | 0.769 | |
| 20.24% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 247 | | matches | | 0 | "Now the crimson stone pressed" |
| | ratio | 0.004 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 81 | | technicalSentenceCount | 4 | | matches | | 0 | "The unknown benefactor who had given Rory the pendant had offered no answers, only a warning that it would warm near a Hel portal." | | 1 | "Most accounts described her as a Fae woman who traded favours for memories." | | 2 | "Underneath, cramped Latin warned against giving the Grove anything that knew your name." | | 3 | "His Cardiff vowels slipped over something that clicked between syllables." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | 0 | "they whispered (whisper)" |
| | dialogueSentences | 28 | | tagDensity | 0.036 | | leniency | 0.071 | | rawRatio | 1 | | effectiveRatio | 0.071 | |