| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 16 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 77 | | tagDensity | 0.208 | | leniency | 0.416 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.81% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1568 | | totalAiIsmAdverbs | 1 | | 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) | |
| 93.62% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1568 | | totalAiIsms | 2 | | found | | | highlights | | |
| 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 | 72 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 72 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 131 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 94 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1573 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 27 | | wordCount | 903 | | uniqueNames | 8 | | maxNameDensity | 1.22 | | worstName | "Silas" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Silas" | | discoveredNames | | Soho | 1 | | Raven | 1 | | Nest | 1 | | Silas | 11 | | Rory | 4 | | London | 1 | | Talisker | 2 | | Rhys | 6 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Silas" | | 3 | "Rory" | | 4 | "Rhys" |
| | places | | | globalScore | 0.891 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 59 | | 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 | 1573 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 131 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 83 | | mean | 18.95 | | std | 20.31 | | cv | 1.072 | | sampleLengths | | 0 | 67 | | 1 | 60 | | 2 | 25 | | 3 | 43 | | 4 | 24 | | 5 | 30 | | 6 | 2 | | 7 | 33 | | 8 | 5 | | 9 | 76 | | 10 | 10 | | 11 | 1 | | 12 | 10 | | 13 | 25 | | 14 | 4 | | 15 | 19 | | 16 | 29 | | 17 | 10 | | 18 | 21 | | 19 | 2 | | 20 | 28 | | 21 | 35 | | 22 | 2 | | 23 | 25 | | 24 | 18 | | 25 | 8 | | 26 | 72 | | 27 | 10 | | 28 | 62 | | 29 | 3 | | 30 | 3 | | 31 | 7 | | 32 | 4 | | 33 | 37 | | 34 | 4 | | 35 | 37 | | 36 | 37 | | 37 | 6 | | 38 | 17 | | 39 | 7 | | 40 | 26 | | 41 | 3 | | 42 | 19 | | 43 | 1 | | 44 | 25 | | 45 | 7 | | 46 | 6 | | 47 | 112 | | 48 | 1 | | 49 | 23 |
| |
| 90.64% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 72 | | matches | | 0 | "being asked" | | 1 | "was gone" | | 2 | "was gone" |
| |
| 30.15% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 157 | | matches | | 0 | "was spending" | | 1 | "was just looking" | | 2 | "was looking" | | 3 | "wasn't looking" |
| |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 5 | | flaggedSentences | 7 | | totalSentences | 131 | | ratio | 0.053 | | matches | | 0 | "Green neon smeared across the wet pavement outside; inside, low lamps gilded the dust on the whisky bottles, and the walls did their usual work of watching — old maps furred at the folds, black-and-white faces staring out of their frames at nobody." | | 1 | "Knew the shape of it — the valleys flattened under too many London years, the music sold off but the instrument still there." | | 2 | "He laughed — the same laugh, too big for the room, filling it anyway — and then it ran out of him and he was just looking." | | 3 | "His hair had retreated; a wedding-grade ring sat on his left hand and sat there like a decision." | | 4 | "He reached across and turned her left hand over, and she had it back before her mind caught up with her arm — too late; he'd seen it." | | 5 | "He wasn't looking at her now; he was looking at the photographs on the wall, at all those staring men." | | 6 | "His handwriting hadn't changed; the r's still couldn't decide." |
| |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 903 | | adjectiveStacks | 1 | | stackExamples | | 0 | "outside; inside, low lamps" |
| | adverbCount | 27 | | adverbRatio | 0.029900332225913623 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 131 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 131 | | mean | 12.01 | | std | 11.35 | | cv | 0.945 | | sampleLengths | | 0 | 24 | | 1 | 43 | | 2 | 24 | | 3 | 7 | | 4 | 11 | | 5 | 18 | | 6 | 25 | | 7 | 7 | | 8 | 28 | | 9 | 8 | | 10 | 11 | | 11 | 13 | | 12 | 7 | | 13 | 23 | | 14 | 2 | | 15 | 15 | | 16 | 14 | | 17 | 4 | | 18 | 5 | | 19 | 27 | | 20 | 9 | | 21 | 18 | | 22 | 22 | | 23 | 7 | | 24 | 3 | | 25 | 1 | | 26 | 10 | | 27 | 14 | | 28 | 8 | | 29 | 3 | | 30 | 4 | | 31 | 19 | | 32 | 13 | | 33 | 16 | | 34 | 10 | | 35 | 6 | | 36 | 15 | | 37 | 2 | | 38 | 28 | | 39 | 13 | | 40 | 4 | | 41 | 18 | | 42 | 2 | | 43 | 19 | | 44 | 6 | | 45 | 5 | | 46 | 13 | | 47 | 8 | | 48 | 7 | | 49 | 6 |
| |
| 74.30% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.45038167938931295 | | totalSentences | 131 | | uniqueOpeners | 59 | |
| 47.62% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 70 | | matches | | | ratio | 0.014 | |
| 25.71% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 34 | | totalSentences | 70 | | matches | | 0 | "She was spending her twenty" | | 1 | "He took a stool four" | | 2 | "He hung the umbrella on" | | 3 | "He turned with the pint" | | 4 | "He said it like a" | | 5 | "He laughed — the same" | | 6 | "His hair had retreated; a" | | 7 | "Hers had put shadows under" | | 8 | "She shifted her helmet aside" | | 9 | "He said it the way" | | 10 | "He rubbed his jaw" | | 11 | "He laughed, waited for the" | | 12 | "His pint stopped halfway." | | 13 | "He put the glass down" | | 14 | "She nodded at the ceiling." | | 15 | "He turned the word over" | | 16 | "He watched her when he" | | 17 | "She took a breath and" | | 18 | "He reached across and turned" | | 19 | "His thumb hovered where the" |
| | ratio | 0.486 | |
| 17.14% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 62 | | totalSentences | 70 | | matches | | 0 | "The rain had thinned Soho" | | 1 | "Rory had the corner of" | | 2 | "The last delivery had dropped" | | 3 | "The next one lived in" | | 4 | "She was spending her twenty" | | 5 | "The door swung in on" | | 6 | "A man in a charcoal" | | 7 | "He took a stool four" | | 8 | "He hung the umbrella on" | | 9 | "Rory knew the voice before" | | 10 | "He turned with the pint" | | 11 | "He said it like a" | | 12 | "He laughed — the same" | | 13 | "The years had been busy" | | 14 | "His hair had retreated; a" | | 15 | "Hers had put shadows under" | | 16 | "Silas poured the Talisker without" | | 17 | "Silas's face gave nothing away," | | 18 | "Rhys carried his pint over" | | 19 | "She shifted her helmet aside" |
| | ratio | 0.886 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 70 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 31 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 16 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 77 | | tagDensity | 0.039 | | leniency | 0.078 | | rawRatio | 0 | | effectiveRatio | 0 | |