| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 24 | | adverbTagCount | 2 | | adverbTags | | 0 | "Lucien said quietly [quietly]" | | 1 | "One bolt slid back [back]" |
| | dialogueSentences | 60 | | tagDensity | 0.4 | | leniency | 0.8 | | rawRatio | 0.083 | | effectiveRatio | 0.067 | |
| 89.44% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1420 | | totalAiIsmAdverbs | 3 | | found | | 0 | | | 1 | | | 2 | | adverb | "deliberately" | | count | 1 |
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| | highlights | | 0 | "slowly" | | 1 | "very" | | 2 | "deliberately" |
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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) | |
| 71.83% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1420 | | totalAiIsms | 8 | | found | | | highlights | | 0 | "silence" | | 1 | "tracing" | | 2 | "measured" | | 3 | "flickered" | | 4 | "stomach" | | 5 | "pulse" | | 6 | "absolutely" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "stomach dropped/sank" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 73 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 73 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 108 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 46 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1427 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 27 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 23 | | wordCount | 806 | | uniqueNames | 10 | | maxNameDensity | 0.62 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 5 | | Moreau | 2 | | Rain | 1 | | Ptolemy | 3 | | Lucien | 4 | | Eva | 3 | | One | 2 | | Evan | 1 | | Marseille | 1 | | Cold | 1 |
| | persons | | 0 | "Rory" | | 1 | "Moreau" | | 2 | "Rain" | | 3 | "Ptolemy" | | 4 | "Lucien" | | 5 | "Eva" | | 6 | "One" | | 7 | "Evan" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 44 | | 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 | 1427 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 108 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 58 | | mean | 24.6 | | std | 20.59 | | cv | 0.837 | | sampleLengths | | 0 | 33 | | 1 | 13 | | 2 | 34 | | 3 | 1 | | 4 | 19 | | 5 | 16 | | 6 | 52 | | 7 | 4 | | 8 | 31 | | 9 | 60 | | 10 | 7 | | 11 | 53 | | 12 | 9 | | 13 | 20 | | 14 | 59 | | 15 | 10 | | 16 | 5 | | 17 | 38 | | 18 | 6 | | 19 | 23 | | 20 | 34 | | 21 | 35 | | 22 | 21 | | 23 | 77 | | 24 | 7 | | 25 | 14 | | 26 | 18 | | 27 | 6 | | 28 | 42 | | 29 | 20 | | 30 | 34 | | 31 | 5 | | 32 | 54 | | 33 | 26 | | 34 | 6 | | 35 | 71 | | 36 | 7 | | 37 | 5 | | 38 | 5 | | 39 | 35 | | 40 | 5 | | 41 | 50 | | 42 | 7 | | 43 | 53 | | 44 | 1 | | 45 | 6 | | 46 | 13 | | 47 | 60 | | 48 | 7 | | 49 | 48 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 73 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 143 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 2 | | flaggedSentences | 7 | | totalSentences | 108 | | ratio | 0.065 | | matches | | 0 | "The mismatched eyes — one amber, one black as spilled ink — travelled over her face like he was checking her for damage." | | 1 | "The curry house below had the evening fry-up going; the whole stairwell smelled of cumin and hot oil, and Lucien Moreau stood in the middle of it like a knife in a cutlery drawer." | | 2 | "He crossed the threshold the way he entered every room — slowly, cataloguing." | | 3 | "Rory's hand found the kitchen knife she'd left on the counter — muscle memory, nothing more — and his eyes tracked the movement, and something in the black one went soft and terrible." | | 4 | "He'd never once flinched from the truth of himself; it was the most dangerous thing about him." | | 5 | "He could see her not knowing it, and looked away first — the first time he'd broken eye contact since the landing." | | 6 | "She watched his hand come up, knock twice on the doorframe — an old gesture, from before, from the months when he'd appeared at her window above the bar with stolen pastries and information she hadn't asked for." |
| |
| 97.91% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 802 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 34 | | adverbRatio | 0.04239401496259352 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.007481296758104738 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 108 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 108 | | mean | 13.21 | | std | 11.05 | | cv | 0.837 | | sampleLengths | | 0 | 33 | | 1 | 2 | | 2 | 11 | | 3 | 7 | | 4 | 23 | | 5 | 4 | | 6 | 1 | | 7 | 6 | | 8 | 13 | | 9 | 9 | | 10 | 7 | | 11 | 23 | | 12 | 5 | | 13 | 24 | | 14 | 4 | | 15 | 12 | | 16 | 19 | | 17 | 10 | | 18 | 16 | | 19 | 34 | | 20 | 7 | | 21 | 13 | | 22 | 27 | | 23 | 13 | | 24 | 5 | | 25 | 4 | | 26 | 8 | | 27 | 2 | | 28 | 1 | | 29 | 9 | | 30 | 28 | | 31 | 31 | | 32 | 6 | | 33 | 4 | | 34 | 5 | | 35 | 5 | | 36 | 33 | | 37 | 6 | | 38 | 12 | | 39 | 6 | | 40 | 5 | | 41 | 11 | | 42 | 23 | | 43 | 6 | | 44 | 29 | | 45 | 10 | | 46 | 11 | | 47 | 46 | | 48 | 31 | | 49 | 7 |
| |
| 57.72% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.37962962962962965 | | totalSentences | 108 | | uniqueOpeners | 41 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 60 | | matches | (empty) | | ratio | 0 | |
| 33.33% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 28 | | totalSentences | 60 | | matches | | 0 | "His voice had roughened since" | | 1 | "She moved to close the" | | 2 | "He didn't wipe it away." | | 3 | "she said, and stepped aside" | | 4 | "He crossed the threshold the" | | 5 | "His gaze swept the towers" | | 6 | "She shut the door" | | 7 | "It hung there anyway." | | 8 | "He reached into his jacket." | | 9 | "Her knuckles had gone white" | | 10 | "She let go, finger by" | | 11 | "He produced a folded slip" | | 12 | "She didn't take it, so" | | 13 | "He leaned forward, elbows on" | | 14 | "His voice stayed level, but" | | 15 | "He said it again now," | | 16 | "He'd never once flinched from" | | 17 | "She hadn't known that." | | 18 | "He could see her not" | | 19 | "She picked it up just" |
| | ratio | 0.467 | |
| 18.33% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 53 | | totalSentences | 60 | | matches | | 0 | "The third deadbolt slid back" | | 1 | "His voice had roughened since" | | 2 | "The mismatched eyes — one" | | 3 | "She moved to close the" | | 4 | "The cane's tip slid into" | | 5 | "Rain ran down the side" | | 6 | "He didn't wipe it away." | | 7 | "A pause, measured as everything" | | 8 | "Ptolemy wound between her ankles" | | 9 | "Rory looked down at the" | | 10 | "The curry house below had" | | 11 | "she said, and stepped aside" | | 12 | "He crossed the threshold the" | | 13 | "His gaze swept the towers" | | 14 | "Something flickered across his face" | | 15 | "She shut the door" | | 16 | "The third she left, and" | | 17 | "Lucien set the cane against" | | 18 | "The name Evan didn't need" | | 19 | "It hung there anyway." |
| | ratio | 0.883 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 60 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 23 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 83.33% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 24 | | uselessAdditionCount | 2 | | matches | | 0 | "His voice stayed, but his thumb moved along the silver head of the cane, a slow circuit, over and over" | | 1 | "He looked back, and both eyes were black in the dim hall light" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 60 | | tagDensity | 0.167 | | leniency | 0.333 | | rawRatio | 0 | | effectiveRatio | 0 | |