| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 19 | | adverbTagCount | 1 | | adverbTags | | 0 | "The word landed like [like]" |
| | dialogueSentences | 55 | | tagDensity | 0.345 | | leniency | 0.691 | | rawRatio | 0.053 | | effectiveRatio | 0.036 | |
| 91.10% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1686 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "carefully" | | 1 | "really" | | 2 | "slowly" |
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| 80.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 82.21% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1686 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "flicker" | | 1 | "pulse" | | 2 | "racing" | | 3 | "silence" |
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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 | 62 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 62 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 97 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 83 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 7 | | totalWords | 1691 | | ratio | 0.004 | | matches | | 0 | "look at what the years have done" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 63.79% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 50 | | wordCount | 986 | | uniqueNames | 17 | | maxNameDensity | 1.72 | | worstName | "Silas" | | maxWindowNameDensity | 3 | | worstWindowName | "Silas" | | discoveredNames | | Morse | 1 | | Brewer | 1 | | Street | 1 | | September | 1 | | February | 1 | | Thursday | 1 | | Rioja | 1 | | Prague | 1 | | Lisbon | 1 | | Istanbul | 1 | | Silas | 17 | | Halloran | 1 | | Balkans | 1 | | Laphroaig | 1 | | Marcus | 15 | | Brno | 2 | | You | 3 |
| | persons | | 0 | "Silas" | | 1 | "Halloran" | | 2 | "Marcus" | | 3 | "You" |
| | places | | 0 | "Brewer" | | 1 | "Street" | | 2 | "September" | | 3 | "Prague" | | 4 | "Lisbon" | | 5 | "Istanbul" | | 6 | "Brno" |
| | globalScore | 0.638 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 47 | | 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 | 1691 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 97 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 58 | | mean | 29.16 | | std | 27.05 | | cv | 0.928 | | sampleLengths | | 0 | 68 | | 1 | 75 | | 2 | 30 | | 3 | 54 | | 4 | 14 | | 5 | 1 | | 6 | 25 | | 7 | 41 | | 8 | 13 | | 9 | 72 | | 10 | 4 | | 11 | 2 | | 12 | 9 | | 13 | 40 | | 14 | 39 | | 15 | 5 | | 16 | 6 | | 17 | 54 | | 18 | 7 | | 19 | 13 | | 20 | 9 | | 21 | 56 | | 22 | 5 | | 23 | 61 | | 24 | 41 | | 25 | 5 | | 26 | 87 | | 27 | 4 | | 28 | 14 | | 29 | 16 | | 30 | 56 | | 31 | 51 | | 32 | 5 | | 33 | 4 | | 34 | 101 | | 35 | 7 | | 36 | 26 | | 37 | 13 | | 38 | 1 | | 39 | 1 | | 40 | 83 | | 41 | 66 | | 42 | 26 | | 43 | 74 | | 44 | 4 | | 45 | 45 | | 46 | 30 | | 47 | 26 | | 48 | 6 | | 49 | 3 |
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| 99.60% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 62 | | matches | | |
| 80.95% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 168 | | matches | | 0 | "was checking" | | 1 | "was drying" | | 2 | "was staring" |
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| 54.49% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 97 | | ratio | 0.031 | | matches | | 0 | "His hands, when he extended them palm-up in a gesture that meant *look at what the years have done*, were the hands of a man who had not worked with them in some time — soft, manicured, a thick gold watch riding one wrist." | | 1 | "Marcus watched him work — the limp folded into the chair, the grey in the auburn beard, the ring on the right hand that had been there since Brno." | | 2 | "Marcus looked at the door, at the dark where the green light used to be, and then he loosened his tie — the first unguarded thing he had done all evening — and sat back in his chair beneath the map of vanished borders, and stayed." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 984 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 20 | | adverbRatio | 0.02032520325203252 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.0040650406504065045 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 97 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 97 | | mean | 17.43 | | std | 17.45 | | cv | 1.001 | | sampleLengths | | 0 | 21 | | 1 | 8 | | 2 | 39 | | 3 | 47 | | 4 | 6 | | 5 | 22 | | 6 | 30 | | 7 | 25 | | 8 | 8 | | 9 | 7 | | 10 | 4 | | 11 | 10 | | 12 | 14 | | 13 | 1 | | 14 | 13 | | 15 | 7 | | 16 | 5 | | 17 | 41 | | 18 | 13 | | 19 | 23 | | 20 | 5 | | 21 | 44 | | 22 | 4 | | 23 | 2 | | 24 | 9 | | 25 | 35 | | 26 | 5 | | 27 | 22 | | 28 | 17 | | 29 | 5 | | 30 | 3 | | 31 | 3 | | 32 | 9 | | 33 | 2 | | 34 | 43 | | 35 | 7 | | 36 | 8 | | 37 | 5 | | 38 | 9 | | 39 | 14 | | 40 | 14 | | 41 | 28 | | 42 | 5 | | 43 | 38 | | 44 | 23 | | 45 | 4 | | 46 | 37 | | 47 | 5 | | 48 | 10 | | 49 | 77 |
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| 53.61% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.3711340206185567 | | totalSentences | 97 | | uniqueOpeners | 36 | |
| 60.61% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 55 | | matches | | 0 | "Then the man looked up," |
| | ratio | 0.018 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 15 | | totalSentences | 55 | | matches | | 0 | "It was February now, and" | | 1 | "You swept the room without" | | 2 | "You noted the exits." | | 3 | "You chose a seat with" | | 4 | "It had been practised, lacquered," | | 5 | "They settled on a handshake" | | 6 | "His hair had gone white." | | 7 | "His hands, when he extended" | | 8 | "His eyes went to the" | | 9 | "He gestured at the coat," | | 10 | "He was staring at the" | | 11 | "he said at last, He" | | 12 | "He didn't move" | | 13 | "He divided what remained between" | | 14 | "He met his friend's eyes" |
| | ratio | 0.273 | |
| 23.64% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 48 | | totalSentences | 55 | | matches | | 0 | "The green neon above the" | | 1 | "Silas had meant to fix" | | 2 | "It was February now, and" | | 3 | "The bar held its usual" | | 4 | "The old maps on the" | | 5 | "The man stood inside the" | | 6 | "Men who had lived carefully" | | 7 | "You swept the room without" | | 8 | "You noted the exits." | | 9 | "You chose a seat with" | | 10 | "Marcus Halloran smiled, and the" | | 11 | "It had been practised, lacquered," | | 12 | "Silas came out from behind" | | 13 | "They settled on a handshake" | | 14 | "Marcus shrugged off his coat" | | 15 | "His hair had gone white." | | 16 | "His hands, when he extended" | | 17 | "Silas poured two measures of" | | 18 | "Marcus turned the glass once" | | 19 | "The neon buzzed outside and" |
| | ratio | 0.873 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 55 | | matches | (empty) | | ratio | 0 | |
| 23.81% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 24 | | technicalSentenceCount | 4 | | matches | | 0 | "The bar held its usual Thursday crowd: two students sharing a bowl of chips by the window, an accountant who drank the same bottle of Rioja every week and read …" | | 1 | "His hands, when he extended them palm-up in a gesture that meant *look at what the years have done*, were the hands of a man who had not worked with them in som…" | | 2 | "When he sat again he chose the chair that let him stretch his bad leg along the floor, and Marcus watched him do it with the careful blindness of a man catalogu…" | | 3 | "Silas watched them go and thought of the young woman who lived above the shop, who had arrived eighteen months ago with one suitcase and a jaw set against the w…" |
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| 98.68% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 19 | | uselessAdditionCount | 1 | | matches | | 0 | "Marcus Halloran smiled, and the smile was the wrongest thing about him" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 55 | | tagDensity | 0.127 | | leniency | 0.255 | | rawRatio | 0.143 | | effectiveRatio | 0.036 | |