| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 7 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 84 | | tagDensity | 0.083 | | leniency | 0.167 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 97.41% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1931 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 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) | |
| 81.87% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1931 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "flicked" | | 1 | "unreadable" | | 2 | "silence" | | 3 | "stomach" | | 4 | "pulse" |
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| 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 | 137 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 3 | | narrationSentences | 137 | | filterMatches | | | hedgeMatches | | 0 | "seemed to" | | 1 | "started to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 213 | | 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 | 0 | | markdownWords | 0 | | totalWords | 1931 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 72.74% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 42 | | wordCount | 1359 | | uniqueNames | 5 | | maxNameDensity | 1.55 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Lucien | 12 | | Moreau | 1 | | Eva | 2 | | Rory | 21 | | Ptolemy | 6 |
| | persons | | 0 | "Lucien" | | 1 | "Moreau" | | 2 | "Rory" | | 3 | "Ptolemy" |
| | places | | | globalScore | 0.727 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 88 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 96.43% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.036 | | wordCount | 1931 | | matches | | 0 | "not at the room this time but at the back window, the narrow strip of night beyond the fil" | | 1 | "not towards her, but enough to force the space between them into something delibe" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 213 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 119 | | mean | 16.23 | | std | 17.27 | | cv | 1.064 | | sampleLengths | | 0 | 17 | | 1 | 59 | | 2 | 3 | | 3 | 13 | | 4 | 20 | | 5 | 11 | | 6 | 6 | | 7 | 62 | | 8 | 8 | | 9 | 5 | | 10 | 2 | | 11 | 45 | | 12 | 5 | | 13 | 17 | | 14 | 13 | | 15 | 14 | | 16 | 50 | | 17 | 5 | | 18 | 15 | | 19 | 4 | | 20 | 10 | | 21 | 5 | | 22 | 10 | | 23 | 15 | | 24 | 7 | | 25 | 48 | | 26 | 18 | | 27 | 29 | | 28 | 6 | | 29 | 7 | | 30 | 26 | | 31 | 16 | | 32 | 13 | | 33 | 10 | | 34 | 28 | | 35 | 2 | | 36 | 1 | | 37 | 16 | | 38 | 4 | | 39 | 8 | | 40 | 48 | | 41 | 58 | | 42 | 4 | | 43 | 53 | | 44 | 17 | | 45 | 4 | | 46 | 3 | | 47 | 3 | | 48 | 2 | | 49 | 91 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 137 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 213 | | matches | | 0 | "was not inviting" | | 1 | "was already moving" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 213 | | ratio | 0 | | matches | (empty) | |
| 96.48% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1363 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 60 | | adverbRatio | 0.04402054292002935 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.00586940572267058 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 213 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 213 | | mean | 9.07 | | std | 7.62 | | cv | 0.84 | | sampleLengths | | 0 | 17 | | 1 | 13 | | 2 | 13 | | 3 | 33 | | 4 | 3 | | 5 | 7 | | 6 | 6 | | 7 | 8 | | 8 | 12 | | 9 | 3 | | 10 | 4 | | 11 | 4 | | 12 | 6 | | 13 | 16 | | 14 | 15 | | 15 | 31 | | 16 | 8 | | 17 | 5 | | 18 | 2 | | 19 | 28 | | 20 | 17 | | 21 | 5 | | 22 | 8 | | 23 | 5 | | 24 | 4 | | 25 | 7 | | 26 | 6 | | 27 | 10 | | 28 | 4 | | 29 | 13 | | 30 | 2 | | 31 | 2 | | 32 | 5 | | 33 | 28 | | 34 | 5 | | 35 | 8 | | 36 | 2 | | 37 | 2 | | 38 | 3 | | 39 | 4 | | 40 | 5 | | 41 | 5 | | 42 | 5 | | 43 | 10 | | 44 | 7 | | 45 | 5 | | 46 | 3 | | 47 | 7 | | 48 | 23 | | 49 | 10 |
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| 41.63% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 18 | | diversityRatio | 0.3004694835680751 | | totalSentences | 213 | | uniqueOpeners | 64 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 8 | | totalSentences | 118 | | matches | | 0 | "Of course he kept count." | | 1 | "Of course he did." | | 2 | "Too much like a promise." | | 3 | "Just a sigil pressed into" | | 4 | "Instead she stepped aside." | | 5 | "Then, with visible reluctance," | | 6 | "Only this one had a" | | 7 | "Then the deadbolt scraped." |
| | ratio | 0.068 | |
| 81.02% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 41 | | totalSentences | 118 | | matches | | 0 | "His amber eye flicked over" | | 1 | "His mouth moved." | | 2 | "Her stomach dropped in a" | | 3 | "She leaned one shoulder against" | | 4 | "He glanced down the hall" | | 5 | "He lifted a cream envelope" | | 6 | "He moved the envelope closer." | | 7 | "They never arrived with only" | | 8 | "They brought a packet of" | | 9 | "She took the envelope, tore" | | 10 | "She laughed once, without humour." | | 11 | "She tipped her head." | | 12 | "He looked past her again," | | 13 | "She knew that." | | 14 | "She knew his face, his" | | 15 | "She knew the pull that" | | 16 | "He smelled faintly of cedar," | | 17 | "His gaze lingered on the" | | 18 | "Her face remained still, but" | | 19 | "She hated that he noticed." |
| | ratio | 0.347 | |
| 27.80% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 102 | | totalSentences | 118 | | matches | | 0 | "The door barely finished opening" | | 1 | "Rory kept her hand on" | | 2 | "The corridor behind him smelled" | | 3 | "His amber eye flicked over" | | 4 | "The black one held still," | | 5 | "Rory stared at him for" | | 6 | "His mouth moved." | | 7 | "Ptolemy hissed from inside the" | | 8 | "Lucien’s gaze slid past her" | | 9 | "The tabby’s tail lashed over" | | 10 | "Books and scrolls crowded every" | | 11 | "Rory opened the door wider," | | 12 | "Her stomach dropped in a" | | 13 | "She leaned one shoulder against" | | 14 | "He glanced down the hall" | | 15 | "The hall light from the" | | 16 | "Rory’s eyes snagged on it" | | 17 | "He lifted a cream envelope" | | 18 | "Rory did not take it." | | 19 | "A muscle jumped once in" |
| | ratio | 0.864 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 118 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 51 | | technicalSentenceCount | 3 | | matches | | 0 | "She knew the pull that lived under her skin whenever he got within arm’s reach, a sick, bright thing that had never cared about good sense." | | 1 | "He smelled faintly of cedar, expensive soap, and something darker beneath it, smoke or spice or the kind of heat that didn’t belong to any kitchen she knew." | | 2 | "The memory that surfaced with it came hard and unwanted, a corridor of soot-black stone, voices speaking in a language that had scraped her skin raw." |
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| 53.57% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 7 | | uselessAdditionCount | 1 | | matches | | 0 | "she said, each word clipped and thin" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 84 | | tagDensity | 0.048 | | leniency | 0.095 | | rawRatio | 0 | | effectiveRatio | 0 | |