| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 22 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 59 | | tagDensity | 0.373 | | leniency | 0.746 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 90.61% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1065 | | totalAiIsmAdverbs | 2 | | 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) | |
| 81.22% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1065 | | totalAiIsms | 4 | | found | | | highlights | | 0 | "echoed" | | 1 | "warmth" | | 2 | "pulse" | | 3 | "silence" |
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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 | 59 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 59 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 95 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 44 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1068 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 20 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 13 | | wordCount | 587 | | uniqueNames | 8 | | maxNameDensity | 0.51 | | worstName | "Rory" | | maxWindowNameDensity | 1 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 3 | | Moreau | 1 | | Ptolemy | 2 | | Golden | 1 | | Empress | 1 | | Eva | 1 | | Tried | 1 | | Lucien | 3 |
| | persons | | 0 | "Rory" | | 1 | "Moreau" | | 2 | "Ptolemy" | | 3 | "Eva" | | 4 | "Lucien" |
| | places | (empty) | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 32 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1068 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 95 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 56 | | mean | 19.07 | | std | 17.27 | | cv | 0.905 | | sampleLengths | | 0 | 27 | | 1 | 31 | | 2 | 6 | | 3 | 8 | | 4 | 30 | | 5 | 27 | | 6 | 3 | | 7 | 5 | | 8 | 67 | | 9 | 7 | | 10 | 2 | | 11 | 1 | | 12 | 51 | | 13 | 6 | | 14 | 32 | | 15 | 2 | | 16 | 21 | | 17 | 31 | | 18 | 22 | | 19 | 8 | | 20 | 3 | | 21 | 8 | | 22 | 29 | | 23 | 15 | | 24 | 3 | | 25 | 2 | | 26 | 23 | | 27 | 21 | | 28 | 21 | | 29 | 1 | | 30 | 31 | | 31 | 7 | | 32 | 4 | | 33 | 75 | | 34 | 10 | | 35 | 1 | | 36 | 11 | | 37 | 15 | | 38 | 40 | | 39 | 37 | | 40 | 4 | | 41 | 4 | | 42 | 37 | | 43 | 17 | | 44 | 14 | | 45 | 62 | | 46 | 29 | | 47 | 6 | | 48 | 26 | | 49 | 4 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 59 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 106 | | matches | (empty) | |
| 52.63% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 95 | | ratio | 0.032 | | matches | | 0 | "The cat jumped down, wove between the chair legs, and Lucien watched it go like it was the most interesting thing in the room — anything not to look at her." | | 1 | "She pulled the second chair out and sat, finally, close enough that his cologne reached her under the curry-house smell soaked into the walls — cedar, something darker beneath." | | 2 | "He smiled — the real one, the rare one, the one she'd told herself she'd imagined." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 549 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 17 | | adverbRatio | 0.030965391621129327 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.00546448087431694 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 95 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 95 | | mean | 11.24 | | std | 10.28 | | cv | 0.915 | | sampleLengths | | 0 | 27 | | 1 | 31 | | 2 | 6 | | 3 | 8 | | 4 | 28 | | 5 | 2 | | 6 | 6 | | 7 | 9 | | 8 | 12 | | 9 | 3 | | 10 | 5 | | 11 | 16 | | 12 | 2 | | 13 | 38 | | 14 | 7 | | 15 | 4 | | 16 | 7 | | 17 | 2 | | 18 | 1 | | 19 | 20 | | 20 | 31 | | 21 | 3 | | 22 | 2 | | 23 | 1 | | 24 | 32 | | 25 | 2 | | 26 | 15 | | 27 | 6 | | 28 | 3 | | 29 | 11 | | 30 | 17 | | 31 | 22 | | 32 | 7 | | 33 | 1 | | 34 | 3 | | 35 | 8 | | 36 | 12 | | 37 | 13 | | 38 | 2 | | 39 | 2 | | 40 | 7 | | 41 | 8 | | 42 | 3 | | 43 | 2 | | 44 | 23 | | 45 | 10 | | 46 | 11 | | 47 | 5 | | 48 | 16 | | 49 | 1 |
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| 66.32% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.4421052631578947 | | totalSentences | 95 | | uniqueOpeners | 42 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 42 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 24 | | totalSentences | 42 | | matches | | 0 | "His mismatched eyes moved past" | | 1 | "She'd told herself she didn't" | | 2 | "She replayed it constantly." | | 3 | "He let her name sit" | | 4 | "She stepped back." | | 5 | "He came in slow, leaning" | | 6 | "He lowered himself into Eva's" | | 7 | "She killed the gas, poured" | | 8 | "she said, and hated the" | | 9 | "He wrapped both hands around" | | 10 | "She stayed standing, arms folded," | | 11 | "He set the cup down" | | 12 | "His eyes came up, the" | | 13 | "He laughed, low and without" | | 14 | "She pulled the second chair" | | 15 | "Her pulse did the foolish" | | 16 | "His jaw worked" | | 17 | "she said, quieter" | | 18 | "He leaned forward, elbows on" | | 19 | "She looked at his hands." |
| | ratio | 0.571 | |
| 19.52% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 37 | | totalSentences | 42 | | matches | | 0 | "The third deadbolt gave with" | | 1 | "Lucien Moreau stood on the" | | 2 | "His mismatched eyes moved past" | | 3 | "Rory didn't move from the" | | 4 | "The cat blinked at the" | | 5 | "The rain caught the streetlight" | | 6 | "That was how long since" | | 7 | "She'd told herself she didn't" | | 8 | "She replayed it constantly." | | 9 | "He let her name sit" | | 10 | "She stepped back." | | 11 | "He came in slow, leaning" | | 12 | "He lowered himself into Eva's" | | 13 | "The kettle screamed." | | 14 | "She killed the gas, poured" | | 15 | "she said, and hated the" | | 16 | "He wrapped both hands around" | | 17 | "She stayed standing, arms folded," | | 18 | "Something shifted in his face," | | 19 | "He set the cup down" |
| | ratio | 0.881 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 42 | | matches | (empty) | | ratio | 0 | |
| 63.49% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 18 | | technicalSentenceCount | 2 | | matches | | 0 | "The third deadbolt gave with a clack that echoed down the stairwell, and Rory pulled the door open expecting the curry house owner with another noise complaint." | | 1 | "That was how long since he'd walked out of the Golden Empress kitchen with a thank-you and a debt half-paid and not one word about the thing that had happened b…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 22 | | uselessAdditionCount | 1 | | matches | | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 59 | | tagDensity | 0.186 | | leniency | 0.373 | | rawRatio | 0 | | effectiveRatio | 0 | |