| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 17 | | adverbTagCount | 2 | | adverbTags | | 0 | "he said finally [finally]" | | 1 | "she asked instead [instead]" |
| | dialogueSentences | 40 | | tagDensity | 0.425 | | leniency | 0.85 | | rawRatio | 0.118 | | effectiveRatio | 0.1 | |
| 90.50% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1053 | | totalAiIsmAdverbs | 2 | | found | | 0 | | | 1 | | adverb | "barely above a whisper" | | count | 1 |
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| | highlights | | 0 | "slightly" | | 1 | "barely above a whisper" |
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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) | |
| 57.26% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1053 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "silence" | | 1 | "weight" | | 2 | "stomach" | | 3 | "could feel" | | 4 | "pulse" | | 5 | "electric" | | 6 | "whisper" | | 7 | "flickered" | | 8 | "glinting" |
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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 | 97 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 97 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 121 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 39 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 8 | | markdownWords | 9 | | totalWords | 1039 | | ratio | 0.009 | | matches | | 0 | "dead" | | 1 | "Laila" | | 2 | "Evan" | | 3 | "house-sitting" | | 4 | "interested parties" | | 5 | "you" | | 6 | "ran" | | 7 | "friend" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 22 | | unquotedAttributions | 0 | | matches | (empty) | |
| 61.97% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 37 | | wordCount | 852 | | uniqueNames | 6 | | maxNameDensity | 1.76 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 15 | | Lucien | 11 | | Ptolemy | 1 | | Eva | 4 | | Didn | 3 | | Like | 3 |
| | persons | | 0 | "Rory" | | 1 | "Lucien" | | 2 | "Ptolemy" | | 3 | "Eva" | | 4 | "Like" |
| | places | (empty) | | globalScore | 0.62 | | windowScore | 0.833 | |
| 63.79% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 58 | | glossingSentenceCount | 2 | | matches | | 0 | "something like burnt sugar, rolled out from" | | 1 | "smelled like Eva—old paper and chamomile t" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.962 | | wordCount | 1039 | | matches | | 0 | "not supposed to be here,” he said finally, but there was no heat in it" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 121 | | matches | | 0 | "complicated, that she’d" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 54 | | mean | 19.24 | | std | 15.86 | | cv | 0.824 | | sampleLengths | | 0 | 53 | | 1 | 8 | | 2 | 48 | | 3 | 71 | | 4 | 28 | | 5 | 17 | | 6 | 10 | | 7 | 32 | | 8 | 19 | | 9 | 42 | | 10 | 21 | | 11 | 11 | | 12 | 4 | | 13 | 30 | | 14 | 28 | | 15 | 11 | | 16 | 9 | | 17 | 47 | | 18 | 20 | | 19 | 14 | | 20 | 16 | | 21 | 1 | | 22 | 23 | | 23 | 31 | | 24 | 4 | | 25 | 30 | | 26 | 9 | | 27 | 14 | | 28 | 53 | | 29 | 8 | | 30 | 22 | | 31 | 10 | | 32 | 9 | | 33 | 5 | | 34 | 48 | | 35 | 22 | | 36 | 13 | | 37 | 33 | | 38 | 11 | | 39 | 3 | | 40 | 1 | | 41 | 29 | | 42 | 5 | | 43 | 8 | | 44 | 9 | | 45 | 4 | | 46 | 11 | | 47 | 6 | | 48 | 37 | | 49 | 19 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 97 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 162 | | matches | (empty) | |
| 1.18% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 121 | | ratio | 0.05 | | matches | | 0 | "His heterochromatic eyes—amber and black—locked onto hers with the precision of a sniper’s scope." | | 1 | "The flat behind him was a mess—books splayed open on the floor, a half-empty glass of something amber and dangerous perched precariously on the arm of a leather chair." | | 2 | "The flat smelled like Eva—old paper and chamomile tea, the faintest hint of the curry house below." | | 3 | "The black one—well, the black one had always been a little too knowing, a little too sharp." | | 4 | "“What do you want, *Laila*?” he asked, and the way he said her old alias—her *Evan* alias—made her skin prickle." | | 5 | "Rory spun, heart hammering, as three figures stepped inside—tall, broad-shouldered, their faces obscured by ski masks." |
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| 97.02% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 622 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 27 | | adverbRatio | 0.04340836012861737 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.012861736334405145 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 121 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 121 | | mean | 8.59 | | std | 6.83 | | cv | 0.795 | | sampleLengths | | 0 | 15 | | 1 | 24 | | 2 | 14 | | 3 | 8 | | 4 | 18 | | 5 | 20 | | 6 | 10 | | 7 | 3 | | 8 | 2 | | 9 | 25 | | 10 | 29 | | 11 | 12 | | 12 | 16 | | 13 | 2 | | 14 | 10 | | 15 | 8 | | 16 | 9 | | 17 | 6 | | 18 | 4 | | 19 | 9 | | 20 | 8 | | 21 | 8 | | 22 | 7 | | 23 | 6 | | 24 | 11 | | 25 | 2 | | 26 | 1 | | 27 | 12 | | 28 | 29 | | 29 | 8 | | 30 | 13 | | 31 | 7 | | 32 | 4 | | 33 | 4 | | 34 | 17 | | 35 | 3 | | 36 | 7 | | 37 | 3 | | 38 | 10 | | 39 | 8 | | 40 | 3 | | 41 | 7 | | 42 | 11 | | 43 | 5 | | 44 | 4 | | 45 | 5 | | 46 | 14 | | 47 | 5 | | 48 | 17 | | 49 | 6 |
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| 48.76% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.32231404958677684 | | totalSentences | 121 | | uniqueOpeners | 39 | |
| 76.63% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 87 | | matches | | 0 | "Just stood there, tailored charcoal" | | 1 | "Then the front door burst" |
| | ratio | 0.023 | |
| 95.86% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 27 | | totalSentences | 87 | | matches | | 0 | "His heterochromatic eyes—amber and black—locked" | | 1 | "he said, voice rough as" | | 2 | "she agreed, because what else" | | 3 | "he said finally, but there" | | 4 | "She hadn’t meant to say" | | 5 | "she said, softer now" | | 6 | "His laugh was a dry," | | 7 | "She hadn’t been back since" | | 8 | "he said, because of course" | | 9 | "He did look like hell." | | 10 | "he asked, and the way" | | 11 | "He pushed off the door," | | 12 | "She recognized Eva’s handwriting on" | | 13 | "He took a slow sip," | | 14 | "She should’ve left it alone." | | 15 | "she asked instead" | | 16 | "He set the mug down." | | 17 | "It came out sharp, bitter." | | 18 | "He moved fast." | | 19 | "His cane clattered to the" |
| | ratio | 0.31 | |
| 57.70% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 70 | | totalSentences | 87 | | matches | | 0 | "The door swung open before" | | 1 | "Lucien stood there, one hand" | | 2 | "His heterochromatic eyes—amber and black—locked" | | 3 | "he said, voice rough as" | | 4 | "The scent of bergamot and" | | 5 | "Rory’s fingers twitched toward the" | | 6 | "she agreed, because what else" | | 7 | "Lucien didn’t move." | | 8 | "The flat behind him was" | | 9 | "A tabby cat, Ptolemy, slinked" | | 10 | "he said finally, but there" | | 11 | "The kind that settled into" | | 12 | "Rory exhaled through her nose," | | 13 | "A muscle feathered in Lucien’s" | | 14 | "Rory snapped before she could" | | 15 | "The words hung between them," | | 16 | "She hadn’t meant to say" | | 17 | "Lucien’s grip on the cane" | | 18 | "The blade inside, thin as" | | 19 | "The kind that pressed down" |
| | ratio | 0.805 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 87 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 27 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 7.35% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 17 | | uselessAdditionCount | 4 | | matches | | 0 | "he said, voice rough as gravel underfoot" | | 1 | "he said, voice low" | | 2 | "he said, and the words were raw" | | 3 | "he asked, voice barely above a whisper" |
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| 75.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 15 | | fancyCount | 3 | | fancyTags | | 0 | "she agreed (agree)" | | 1 | "Rory snapped (snap)" | | 2 | "she admitted (admit)" |
| | dialogueSentences | 40 | | tagDensity | 0.375 | | leniency | 0.75 | | rawRatio | 0.2 | | effectiveRatio | 0.15 | |