| 66.67% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 1 | | adverbTags | | 0 | "he said softly [softly]" |
| | dialogueSentences | 15 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0.2 | | effectiveRatio | 0.133 | |
| 91.83% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1224 | | totalAiIsmAdverbs | 2 | | 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) | |
| 87.75% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1224 | | totalAiIsms | 3 | | found | | | highlights | | 0 | "measured" | | 1 | "glint" | | 2 | "pulse" |
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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 | 99 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 99 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 109 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 39 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 4 | | markdownWords | 13 | | totalWords | 1224 | | ratio | 0.011 | | matches | | 0 | "The Market." | | 1 | "You ever hear of the Veil Market, Harlow?" | | 2 | "Don't," | | 3 | "unexplained circumstances" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 39 | | wordCount | 1165 | | uniqueNames | 18 | | maxNameDensity | 0.69 | | worstName | "Herrera" | | maxWindowNameDensity | 2.5 | | worstWindowName | "You" | | discoveredNames | | Camden | 1 | | Quinn | 6 | | Chalk | 1 | | Farm | 1 | | Road | 1 | | Herrera | 8 | | Raven | 1 | | Nest | 1 | | Tube | 1 | | Mornington | 1 | | Crescent | 1 | | Christopher | 1 | | Spanish | 1 | | Morris | 2 | | Veil | 1 | | Market | 3 | | Three | 3 | | You | 5 |
| | persons | | 0 | "Quinn" | | 1 | "Herrera" | | 2 | "Nest" | | 3 | "Christopher" | | 4 | "Morris" | | 5 | "Market" | | 6 | "You" |
| | places | | 0 | "Chalk" | | 1 | "Farm" | | 2 | "Road" | | 3 | "Raven" | | 4 | "Mornington" | | 5 | "Crescent" | | 6 | "Spanish" |
| | globalScore | 1 | | windowScore | 0.833 | |
| 78.57% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 70 | | glossingSentenceCount | 2 | | matches | | 0 | "something like amusement moved across his mo" | | 1 | "not quite a laugh answered it" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.817 | | wordCount | 1224 | | matches | | 0 | "Not warm like something held in a pocket, but warm like something alive, with a faint, slow pulse under he" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 109 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 39 | | mean | 31.38 | | std | 24.42 | | cv | 0.778 | | sampleLengths | | 0 | 22 | | 1 | 85 | | 2 | 3 | | 3 | 6 | | 4 | 67 | | 5 | 51 | | 6 | 28 | | 7 | 18 | | 8 | 56 | | 9 | 36 | | 10 | 50 | | 11 | 59 | | 12 | 5 | | 13 | 15 | | 14 | 57 | | 15 | 4 | | 16 | 4 | | 17 | 21 | | 18 | 2 | | 19 | 3 | | 20 | 57 | | 21 | 58 | | 22 | 33 | | 23 | 14 | | 24 | 6 | | 25 | 65 | | 26 | 75 | | 27 | 10 | | 28 | 64 | | 29 | 9 | | 30 | 39 | | 31 | 21 | | 32 | 54 | | 33 | 14 | | 34 | 26 | | 35 | 2 | | 36 | 23 | | 37 | 8 | | 38 | 54 |
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| 94.63% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 99 | | matches | | 0 | "been left" | | 1 | "was carved" | | 2 | "been aimed" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 190 | | matches | | 0 | "was watching" | | 1 | "was carrying" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 109 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1167 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 42 | | adverbRatio | 0.03598971722365039 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.004284490145672665 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 109 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 109 | | mean | 11.23 | | std | 8.73 | | cv | 0.777 | | sampleLengths | | 0 | 22 | | 1 | 28 | | 2 | 2 | | 3 | 38 | | 4 | 8 | | 5 | 9 | | 6 | 3 | | 7 | 2 | | 8 | 4 | | 9 | 2 | | 10 | 39 | | 11 | 10 | | 12 | 13 | | 13 | 3 | | 14 | 11 | | 15 | 19 | | 16 | 21 | | 17 | 3 | | 18 | 7 | | 19 | 18 | | 20 | 10 | | 21 | 8 | | 22 | 3 | | 23 | 29 | | 24 | 5 | | 25 | 10 | | 26 | 9 | | 27 | 5 | | 28 | 31 | | 29 | 21 | | 30 | 2 | | 31 | 1 | | 32 | 17 | | 33 | 9 | | 34 | 6 | | 35 | 20 | | 36 | 15 | | 37 | 7 | | 38 | 11 | | 39 | 5 | | 40 | 9 | | 41 | 6 | | 42 | 3 | | 43 | 26 | | 44 | 7 | | 45 | 21 | | 46 | 4 | | 47 | 4 | | 48 | 12 | | 49 | 9 |
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| 66.67% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.44954128440366975 | | totalSentences | 109 | | uniqueOpeners | 49 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 7 | | totalSentences | 88 | | matches | | 0 | "Then he'd looked straight at" | | 1 | "Of course he didn't." | | 2 | "Somewhere a gutter was overflowing," | | 3 | "Just once, in the car," | | 4 | "Then she held the token" | | 5 | "Then he stepped back and" | | 6 | "Then she went down into" |
| | ratio | 0.08 | |
| 65.45% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 34 | | totalSentences | 88 | | matches | | 0 | "She found him again at" | | 1 | "She'd tailed him from the" | | 2 | "He hadn't looked back once" | | 3 | "Her left wrist ached where" | | 4 | "She ignored it." | | 5 | "He was younger by twelve" | | 6 | "He took the next left," | | 7 | "she shouted, which was a" | | 8 | "He glanced back." | | 9 | "She'd read it in his" | | 10 | "His sleeve rode up as" | | 11 | "She hit the wall with" | | 12 | "He pressed it into the" | | 13 | "He had a face like" | | 14 | "They caught the light like" | | 15 | "He looked at her warrant" | | 16 | "He tilted his head toward" | | 17 | "He only smiled." | | 18 | "She knew this place, or" | | 19 | "*You ever hear of the" |
| | ratio | 0.386 | |
| 96.36% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 64 | | totalSentences | 88 | | matches | | 0 | "The rain had turned Camden" | | 1 | "She found him again at" | | 2 | "She'd tailed him from the" | | 3 | "He hadn't looked back once" | | 4 | "Rain sheeted off her cropped" | | 5 | "Her left wrist ached where" | | 6 | "She ignored it." | | 7 | "He was younger by twelve" | | 8 | "He took the next left," | | 9 | "The lane narrowed." | | 10 | "she shouted, which was a" | | 11 | "He glanced back." | | 12 | "Saint Christopher, patron of travelers." | | 13 | "She'd read it in his" | | 14 | "Herrera vaulted a low wall." | | 15 | "His sleeve rode up as" | | 16 | "She hit the wall with" | | 17 | "A rusted door set into" | | 18 | "Herrera was already at the" | | 19 | "A figure stood there, broad" |
| | ratio | 0.727 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 88 | | matches | | 0 | "Even at forty feet she" | | 1 | "Now it flashed in the" |
| | ratio | 0.023 | |
| 97.26% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 47 | | technicalSentenceCount | 3 | | matches | | 0 | "A word that kept surfacing in the mouths of informants who stopped talking the moment she looked at them properly." | | 1 | "Not warm like something held in a pocket, but warm like something alive, with a faint, slow pulse under her thumb that could have been her own heartbeat and was…" | | 2 | "She thought of the report that had used the phrase *unexplained circumstances* four times in a single paragraph." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 83.33% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 15 | | tagDensity | 0.2 | | leniency | 0.4 | | rawRatio | 0.333 | | effectiveRatio | 0.133 | |