| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 23 | | adverbTagCount | 6 | | adverbTags | | 0 | "he said quietly [quietly]" | | 1 | "Eva's fingers drummed once [once]" | | 2 | "Eva said finally [finally]" | | 3 | "Rory said quietly [quietly]" | | 4 | "Eva leaned back [back]" | | 5 | "she asked instead [instead]" |
| | dialogueSentences | 56 | | tagDensity | 0.411 | | leniency | 0.821 | | rawRatio | 0.261 | | effectiveRatio | 0.214 | |
| 80.15% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1763 | | totalAiIsmAdverbs | 7 | | found | | | highlights | | 0 | "slightly" | | 1 | "slowly" | | 2 | "really" | | 3 | "very" |
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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) | |
| 80.15% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1763 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "shattered" | | 1 | "perfect" | | 2 | "glinting" | | 3 | "silence" | | 4 | "scanning" |
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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 | 116 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 116 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 149 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 73 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 16 | | totalWords | 1751 | | ratio | 0.009 | | matches | | 0 | "Rory, look what I found. Rory, is this a bird? Rory, will you come?" | | 1 | "upstairs, now" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 27 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 93 | | wordCount | 1160 | | uniqueNames | 12 | | maxNameDensity | 3.1 | | worstName | "Rory" | | maxWindowNameDensity | 5 | | worstWindowName | "Eva" | | discoveredNames | | Rory | 36 | | Raven | 2 | | Nest | 2 | | Eva | 34 | | Moss | 1 | | Tuesday | 1 | | Soho | 1 | | Silas | 11 | | Cardiff | 1 | | Evan | 1 | | London | 2 | | Prague | 1 |
| | persons | | 0 | "Rory" | | 1 | "Raven" | | 2 | "Nest" | | 3 | "Eva" | | 4 | "Moss" | | 5 | "Silas" | | 6 | "Evan" |
| | places | | 0 | "Soho" | | 1 | "Cardiff" | | 2 | "London" | | 3 | "Prague" |
| | globalScore | 0 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 65 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.571 | | wordCount | 1751 | | matches | | 0 | "not quite far enough to touch, but close enough" |
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| 99.55% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 3 | | totalSentences | 149 | | matches | | 0 | "learned that the" | | 1 | "Noticed that Eva" | | 2 | "remembered that scent" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 76 | | mean | 23.04 | | std | 20.89 | | cv | 0.907 | | sampleLengths | | 0 | 28 | | 1 | 44 | | 2 | 10 | | 3 | 61 | | 4 | 1 | | 5 | 36 | | 6 | 5 | | 7 | 43 | | 8 | 13 | | 9 | 21 | | 10 | 7 | | 11 | 2 | | 12 | 26 | | 13 | 3 | | 14 | 33 | | 15 | 17 | | 16 | 1 | | 17 | 20 | | 18 | 39 | | 19 | 17 | | 20 | 5 | | 21 | 2 | | 22 | 47 | | 23 | 28 | | 24 | 44 | | 25 | 5 | | 26 | 3 | | 27 | 4 | | 28 | 43 | | 29 | 7 | | 30 | 5 | | 31 | 4 | | 32 | 62 | | 33 | 32 | | 34 | 5 | | 35 | 15 | | 36 | 6 | | 37 | 4 | | 38 | 39 | | 39 | 6 | | 40 | 63 | | 41 | 24 | | 42 | 9 | | 43 | 53 | | 44 | 5 | | 45 | 80 | | 46 | 4 | | 47 | 3 | | 48 | 101 | | 49 | 37 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 116 | | matches | | |
| 52.51% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 5 | | totalVerbs | 226 | | matches | | 0 | "was nursing" | | 1 | "was watching" | | 2 | "was falling" | | 3 | "was spreading was studying" |
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| 46.98% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 149 | | ratio | 0.034 | | matches | | 0 | "Where Rory remembered curves and softness, Eva had distilled herself into angles—cheekbones that could cut, collarbones visible beneath expensive fabric, a tailored charcoal suit that cost more than Rory's monthly rent." | | 1 | "At least that was still Eva—the quick flare of defensiveness, the way her left eye narrowed just slightly when she felt accused." | | 2 | "Five years—six—and Eva's perfume was still the same." | | 3 | "She turned to walk away just as Eva reached out—not quite far enough to touch, but close enough that Rory felt the gesture like a physical thing." | | 4 | "Everything else—five years, six, the distance between who they'd been and who they'd become—fell away." |
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| 81.85% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1170 | | adjectiveStacks | 3 | | stackExamples | | 0 | "visible beneath expensive fabric," | | 1 | "same expensive single malt" | | 2 | "breathless, rain-soaked, his" |
| | adverbCount | 47 | | adverbRatio | 0.040170940170940174 | | lyAdverbCount | 14 | | lyAdverbRatio | 0.011965811965811967 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 149 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 149 | | mean | 11.75 | | std | 11.52 | | cv | 0.98 | | sampleLengths | | 0 | 28 | | 1 | 7 | | 2 | 4 | | 3 | 33 | | 4 | 10 | | 5 | 7 | | 6 | 31 | | 7 | 23 | | 8 | 1 | | 9 | 2 | | 10 | 4 | | 11 | 16 | | 12 | 5 | | 13 | 5 | | 14 | 4 | | 15 | 5 | | 16 | 20 | | 17 | 23 | | 18 | 13 | | 19 | 4 | | 20 | 3 | | 21 | 3 | | 22 | 11 | | 23 | 7 | | 24 | 2 | | 25 | 23 | | 26 | 3 | | 27 | 3 | | 28 | 7 | | 29 | 3 | | 30 | 1 | | 31 | 22 | | 32 | 9 | | 33 | 8 | | 34 | 1 | | 35 | 20 | | 36 | 9 | | 37 | 30 | | 38 | 6 | | 39 | 11 | | 40 | 5 | | 41 | 2 | | 42 | 14 | | 43 | 7 | | 44 | 5 | | 45 | 21 | | 46 | 7 | | 47 | 21 | | 48 | 23 | | 49 | 21 |
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| 48.10% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 20 | | diversityRatio | 0.3691275167785235 | | totalSentences | 149 | | uniqueOpeners | 55 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 6 | | totalSentences | 99 | | matches | | 0 | "Always asking Rory to come." | | 1 | "At least that was still" | | 2 | "Instead, she picked up her" | | 3 | "Then it stopped." | | 4 | "Nearly reached across the distance" | | 5 | "Nearly forgave everything unsaid, every" |
| | ratio | 0.061 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 16 | | totalSentences | 99 | | matches | | 0 | "She stared at the mess," | | 1 | "Her hair, once a wild" | | 2 | "He took in the broken" | | 3 | "he said quietly, moving past" | | 4 | "She didn't sit." | | 5 | "He retreated to the far" | | 6 | "They were smooth now, well-manicured," | | 7 | "He poured two measures without" | | 8 | "She wanted to leave." | | 9 | "She wanted to storm out" | | 10 | "She wanted to walk into" | | 11 | "She didn't move." | | 12 | "she asked instead" | | 13 | "She turned to walk away" | | 14 | "She was already moving past" | | 15 | "She heard Eva call her" |
| | ratio | 0.162 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 71 | | totalSentences | 99 | | matches | | 0 | "The bottle slipped from Rory's" | | 1 | "She stared at the mess," | | 2 | "Silas would murder her." | | 3 | "The woman was all sharp" | | 4 | "Her hair, once a wild" | | 5 | "That was still Eva's." | | 6 | "*Rory, look what I found." | | 7 | "Rory, is this a bird?" | | 8 | "Rory, will you come?*" | | 9 | "Silas emerged from behind the" | | 10 | "He took in the broken" | | 11 | "he said quietly, moving past" | | 12 | "Eva approached the bar." | | 13 | "She didn't sit." | | 14 | "Power move, that." | | 15 | "Eva's fingers drummed once against" | | 16 | "The words landed harder than" | | 17 | "Eva's jaw tightened." | | 18 | "Rory stood, bits of glass" | | 19 | "Silas had returned with a" |
| | ratio | 0.717 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 99 | | matches | | 0 | "Because Eva Moss had walked" | | 1 | "Before Rory could answer, the" | | 2 | "By the time she emerged" |
| | ratio | 0.03 | |
| 80.75% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 46 | | technicalSentenceCount | 4 | | matches | | 0 | "Where Rory remembered curves and softness, Eva had distilled herself into angles—cheekbones that could cut, collarbones visible beneath expensive fabric, a tail…" | | 1 | "Silas had returned with a dustpan, but he paused, watching the two women with the interest of a man who'd learned that the best intelligence came from observing…" | | 2 | "A man entered, breathless, rain-soaked, his eyes scanning the bar with the urgency of someone searching for a specific face." | | 3 | "By the time she emerged from the hidden door that led upstairs to her flat, the man from Prague was spreading photographs across the table, and Silas was studyi…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 23 | | uselessAdditionCount | 1 | | matches | | 0 | "Eva asked, not understanding" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 19 | | fancyCount | 1 | | fancyTags | | 0 | "Eva whispered (whisper)" |
| | dialogueSentences | 56 | | tagDensity | 0.339 | | leniency | 0.679 | | rawRatio | 0.053 | | effectiveRatio | 0.036 | |