| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 16 | | adverbTagCount | 2 | | adverbTags | | 0 | "Eva said finally [finally]" | | 1 | "she said softly [softly]" |
| | dialogueSentences | 43 | | tagDensity | 0.372 | | leniency | 0.744 | | rawRatio | 0.125 | | effectiveRatio | 0.093 | |
| 91.17% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1133 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1133 | | totalAiIsms | 23 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | word | "carried the weight" | | count | 1 |
| | 14 | | | 15 | | | 16 | | | 17 | | | 18 | |
| | highlights | | 0 | "tracing" | | 1 | "crystal" | | 2 | "familiar" | | 3 | "scanned" | | 4 | "etching" | | 5 | "marble" | | 6 | "flickered" | | 7 | "stomach" | | 8 | "could feel" | | 9 | "weight" | | 10 | "silence" | | 11 | "charged" | | 12 | "flicker" | | 13 | "carried the weight" | | 14 | "unspoken" | | 15 | "measured" | | 16 | "jaw clenched" | | 17 | "scanning" | | 18 | "facade" |
| |
| 0.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 4 | | maxInWindow | 4 | | found | | 0 | | label | "stomach dropped/sank" | | count | 1 |
| | 1 | | label | "jaw/fists clenched" | | count | 1 |
| | 2 | | label | "hung in the air" | | count | 2 |
|
| | highlights | | 0 | "stomach dropped" | | 1 | "jaw clenched" | | 2 | "hung in the air" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 115 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 115 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 138 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 62 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 3 | | markdownWords | 40 | | totalWords | 1133 | | ratio | 0.035 | | matches | | 0 | "We'll be fine. We have each other." | | 1 | "Do you remember the time we got locked in the library? Do you still hum when you're nervous? Do you ever think about the sound of the rain on the university roof?" | | 2 | "here" |
| |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 45.95% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 38 | | wordCount | 865 | | uniqueNames | 5 | | maxNameDensity | 2.08 | | worstName | "Eva" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Eva" | | discoveredNames | | Eva | 18 | | Rory | 17 | | Silas | 1 | | Final | 1 | | Cardiff | 1 |
| | persons | | | places | | | globalScore | 0.46 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 65 | | glossingSentenceCount | 1 | | matches | | 0 | "as if bracing for impact" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1133 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 138 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 59 | | mean | 19.2 | | std | 16.11 | | cv | 0.839 | | sampleLengths | | 0 | 47 | | 1 | 25 | | 2 | 8 | | 3 | 49 | | 4 | 4 | | 5 | 34 | | 6 | 52 | | 7 | 3 | | 8 | 26 | | 9 | 17 | | 10 | 5 | | 11 | 18 | | 12 | 16 | | 13 | 12 | | 14 | 1 | | 15 | 5 | | 16 | 26 | | 17 | 13 | | 18 | 15 | | 19 | 21 | | 20 | 10 | | 21 | 2 | | 22 | 39 | | 23 | 17 | | 24 | 6 | | 25 | 24 | | 26 | 9 | | 27 | 15 | | 28 | 7 | | 29 | 50 | | 30 | 15 | | 31 | 8 | | 32 | 16 | | 33 | 1 | | 34 | 55 | | 35 | 11 | | 36 | 6 | | 37 | 3 | | 38 | 20 | | 39 | 15 | | 40 | 59 | | 41 | 67 | | 42 | 17 | | 43 | 14 | | 44 | 18 | | 45 | 2 | | 46 | 40 | | 47 | 28 | | 48 | 18 | | 49 | 15 |
| |
| 86.96% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 6 | | totalSentences | 115 | | matches | | 0 | "was gone" | | 1 | "was gone" | | 2 | "were clipped" | | 3 | "got locked" | | 4 | "been gone" | | 5 | "was gone" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 170 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 138 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 867 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 20 | | adverbRatio | 0.02306805074971165 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.00461361014994233 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 138 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 138 | | mean | 8.21 | | std | 7.06 | | cv | 0.86 | | sampleLengths | | 0 | 15 | | 1 | 17 | | 2 | 15 | | 3 | 5 | | 4 | 11 | | 5 | 9 | | 6 | 8 | | 7 | 9 | | 8 | 18 | | 9 | 4 | | 10 | 18 | | 11 | 4 | | 12 | 15 | | 13 | 19 | | 14 | 15 | | 15 | 6 | | 16 | 20 | | 17 | 9 | | 18 | 1 | | 19 | 1 | | 20 | 3 | | 21 | 8 | | 22 | 9 | | 23 | 9 | | 24 | 3 | | 25 | 7 | | 26 | 7 | | 27 | 5 | | 28 | 16 | | 29 | 2 | | 30 | 12 | | 31 | 2 | | 32 | 2 | | 33 | 10 | | 34 | 2 | | 35 | 1 | | 36 | 5 | | 37 | 10 | | 38 | 12 | | 39 | 1 | | 40 | 3 | | 41 | 7 | | 42 | 6 | | 43 | 12 | | 44 | 3 | | 45 | 6 | | 46 | 15 | | 47 | 8 | | 48 | 2 | | 49 | 2 |
| |
| 57.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 13 | | diversityRatio | 0.39855072463768115 | | totalSentences | 138 | | uniqueOpeners | 55 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 99 | | matches | | 0 | "Then she heard the laugh." | | 1 | "Then it was gone, replaced" | | 2 | "Then the mask slid back" | | 3 | "Instead, she said," |
| | ratio | 0.04 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 25 | | totalSentences | 99 | | matches | | 0 | "It cut through the bar's" | | 1 | "She set the glass down," | | 2 | "She knew the way the" | | 3 | "She knew the slight downturn" | | 4 | "Their eyes met." | | 5 | "She should have stayed in" | | 6 | "She could feel the weight" | | 7 | "She trailed off" | | 8 | "she said, changing the subject" | | 9 | "She busied herself with polishing" | | 10 | "It carried the weight of" | | 11 | "She remembered promises whispered in" | | 12 | "*We'll be fine." | | 13 | "We have each other.*" | | 14 | "she said, her voice measured" | | 15 | "She had thought she'd made" | | 16 | "She stopped, her jaw clenched." | | 17 | "Her hand was shaking, the" | | 18 | "She'd been gone three years." | | 19 | "She looked at the man," |
| | ratio | 0.253 | |
| 61.01% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 79 | | totalSentences | 99 | | matches | | 0 | "The door chimed, a tinny" | | 1 | "Rory didn't look up from" | | 2 | "The scent of old wood" | | 3 | "It cut through the bar's" | | 4 | "She set the glass down," | | 5 | "The shorter one, with a" | | 6 | "The tall one with the" | | 7 | "Rory knew that scan." | | 8 | "She knew the way the" | | 9 | "She knew the slight downturn" | | 10 | "Time had been generous to" | | 11 | "The softness Rory remembered from" | | 12 | "Their eyes met." | | 13 | "Recognition flickered, a brief flare" | | 14 | "A social smile touched her" | | 15 | "Rory's stomach dropped." | | 16 | "She should have stayed in" | | 17 | "The name came out questioning," | | 18 | "The words came out before" | | 19 | "Eva tasted the name, rolling" |
| | ratio | 0.798 | |
| 50.51% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 99 | | matches | | | ratio | 0.01 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 34 | | technicalSentenceCount | 1 | | matches | | 0 | "Eva shrugged, a fluid movement that was somehow elegant and dismissive." |
| |
| 62.50% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 16 | | uselessAdditionCount | 2 | | matches | | 0 | "The name came out, as if Eva wasn't sure she had the right person" | | 1 | "she said, her voice measured" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 1 | | fancyTags | | 0 | "she whispered (whisper)" |
| | dialogueSentences | 43 | | tagDensity | 0.186 | | leniency | 0.372 | | rawRatio | 0.125 | | effectiveRatio | 0.047 | |