| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 1 | | adverbTags | | 0 | "Rory said finally [finally]" |
| | dialogueSentences | 51 | | tagDensity | 0.353 | | leniency | 0.706 | | rawRatio | 0.056 | | effectiveRatio | 0.039 | |
| 87.23% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1175 | | totalAiIsmAdverbs | 3 | | found | | 0 | | adverb | "deliberately" | | count | 1 |
| | 1 | | | 2 | |
| | highlights | | 0 | "deliberately" | | 1 | "very" | | 2 | "slowly" |
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| 100.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | | codexExemptions | | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 91.49% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1175 | | totalAiIsms | 2 | | found | | | highlights | | |
| 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 | 71 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 71 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 101 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 62 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1180 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 19 | | unquotedAttributions | 0 | | matches | (empty) | |
| 48.08% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 42 | | wordCount | 834 | | uniqueNames | 9 | | maxNameDensity | 2.04 | | worstName | "Eva" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Rory" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Thursday | 1 | | Rory | 15 | | Eva | 17 | | Marsh | 1 | | Silas | 3 | | Set | 2 | | European | 1 |
| | persons | | 0 | "Raven" | | 1 | "Rory" | | 2 | "Eva" | | 3 | "Silas" | | 4 | "Set" |
| | places | | | globalScore | 0.481 | | windowScore | 0.5 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 48 | | glossingSentenceCount | 3 | | matches | | 0 | "looked like it was a second behind whatev" | | 1 | "looked like she'd stopped running" | | 2 | "looked like it had been beautiful before" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1180 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 101 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 50 | | mean | 23.6 | | std | 23.55 | | cv | 0.998 | | sampleLengths | | 0 | 89 | | 1 | 71 | | 2 | 11 | | 3 | 12 | | 4 | 64 | | 5 | 1 | | 6 | 3 | | 7 | 73 | | 8 | 10 | | 9 | 45 | | 10 | 22 | | 11 | 5 | | 12 | 21 | | 13 | 42 | | 14 | 6 | | 15 | 3 | | 16 | 50 | | 17 | 7 | | 18 | 5 | | 19 | 6 | | 20 | 30 | | 21 | 5 | | 22 | 6 | | 23 | 12 | | 24 | 1 | | 25 | 27 | | 26 | 63 | | 27 | 5 | | 28 | 32 | | 29 | 2 | | 30 | 1 | | 31 | 54 | | 32 | 15 | | 33 | 2 | | 34 | 9 | | 35 | 62 | | 36 | 4 | | 37 | 54 | | 38 | 3 | | 39 | 9 | | 40 | 36 | | 41 | 41 | | 42 | 13 | | 43 | 5 | | 44 | 4 | | 45 | 41 | | 46 | 10 | | 47 | 46 | | 48 | 5 | | 49 | 37 |
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| 95.38% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 71 | | matches | | 0 | "was gone" | | 1 | "been bombed " |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 155 | | matches | | 0 | "was bracing" | | 1 | "was attempting" |
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| 57.99% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 101 | | ratio | 0.03 | | matches | | 0 | "She had her back to Rory and one hand wrapped around a glass of something amber, and her hair was different — shorter now, cut blunt at the jaw in a way that suggested a decision rather than a trim — but the tilt of her shoulders, the specific way she held herself like she was bracing for weather, that hadn't changed at all." | | 1 | "One of the photographs on the wall — a street scene somewhere European, somewhere that looked like it had been beautiful before it had been bombed — watched them both from behind cracked glass." | | 2 | "That was new — or maybe Rory had simply forgotten that Eva could do this, could hold a silence without filling it, could let something be partial without demanding the rest." |
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| 88.56% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 829 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 44 | | adverbRatio | 0.05307599517490953 | | lyAdverbCount | 14 | | lyAdverbRatio | 0.016887816646562123 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 101 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 101 | | mean | 11.68 | | std | 11.25 | | cv | 0.963 | | sampleLengths | | 0 | 18 | | 1 | 5 | | 2 | 29 | | 3 | 4 | | 4 | 33 | | 5 | 7 | | 6 | 32 | | 7 | 32 | | 8 | 11 | | 9 | 12 | | 10 | 64 | | 11 | 1 | | 12 | 3 | | 13 | 14 | | 14 | 29 | | 15 | 13 | | 16 | 10 | | 17 | 7 | | 18 | 8 | | 19 | 2 | | 20 | 23 | | 21 | 6 | | 22 | 16 | | 23 | 13 | | 24 | 2 | | 25 | 7 | | 26 | 5 | | 27 | 13 | | 28 | 4 | | 29 | 4 | | 30 | 34 | | 31 | 7 | | 32 | 1 | | 33 | 6 | | 34 | 3 | | 35 | 45 | | 36 | 5 | | 37 | 7 | | 38 | 5 | | 39 | 6 | | 40 | 10 | | 41 | 5 | | 42 | 15 | | 43 | 5 | | 44 | 6 | | 45 | 4 | | 46 | 8 | | 47 | 1 | | 48 | 7 | | 49 | 9 |
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| 36.30% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 20 | | diversityRatio | 0.33663366336633666 | | totalSentences | 101 | | uniqueOpeners | 34 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 61 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 18 | | totalSentences | 61 | | matches | | 0 | "He'd told Rory once that" | | 1 | "She'd laughed at that." | | 2 | "She still thought about it" | | 3 | "She wasn't supposed to be" | | 4 | "She had a delivery run" | | 5 | "She hadn't, but that wasn't" | | 6 | "She had her back to" | | 7 | "He'd spent forty years reading" | | 8 | "She crossed to the bar" | | 9 | "It was just where her" | | 10 | "She wrapped both hands around" | | 11 | "It was more like Eva" | | 12 | "They sat with it." | | 13 | "She said it without accusation," | | 14 | "She drank it anyway." | | 15 | "She turned the mug in" | | 16 | "She thought about the three" | | 17 | "She didn't push." |
| | ratio | 0.295 | |
| 58.36% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 49 | | totalSentences | 61 | | matches | | 0 | "The Raven's Nest was quiet" | | 1 | "Silas kept it that way." | | 2 | "He'd told Rory once that" | | 3 | "She'd laughed at that." | | 4 | "She still thought about it" | | 5 | "She wasn't supposed to be" | | 6 | "She had a delivery run" | | 7 | "She hadn't, but that wasn't" | | 8 | "She had her back to" | | 9 | "The woman turned." | | 10 | "The angles were the same," | | 11 | "Eva had always moved like" | | 12 | "This woman looked like she'd" | | 13 | "Eva's voice was lower than" | | 14 | "Silas appeared from somewhere behind" | | 15 | "He'd spent forty years reading" | | 16 | "Rory had watched him do" | | 17 | "She crossed to the bar" | | 18 | "It was just where her" | | 19 | "Rory turned and found the" |
| | ratio | 0.803 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 61 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 27 | | technicalSentenceCount | 1 | | matches | | 0 | "She had her back to Rory and one hand wrapped around a glass of something amber, and her hair was different — shorter now, cut blunt at the jaw in a way that su…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 51 | | tagDensity | 0.137 | | leniency | 0.275 | | rawRatio | 0 | | effectiveRatio | 0 | |