| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 22 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 59 | | tagDensity | 0.373 | | leniency | 0.746 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 86.97% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1535 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "lightly" | | 1 | "precisely" | | 2 | "slowly" | | 3 | "slightly" |
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| 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) | |
| 83.71% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1535 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "electric" | | 1 | "flickered" | | 2 | "silence" | | 3 | "weight" | | 4 | "trembled" |
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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 | 71 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 71 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 108 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 50 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1553 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 22 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 45 | | wordCount | 934 | | uniqueNames | 8 | | maxNameDensity | 2.68 | | worstName | "Owen" | | maxWindowNameDensity | 5 | | worstWindowName | "Owen" | | discoveredNames | | London | 1 | | Silas | 14 | | Blackwood | 1 | | Raven | 1 | | Nest | 1 | | Welsh | 1 | | Pryce | 1 | | Owen | 25 |
| | persons | | 0 | "Silas" | | 1 | "Blackwood" | | 2 | "Raven" | | 3 | "Nest" | | 4 | "Pryce" | | 5 | "Owen" |
| | places | | | globalScore | 0.162 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 55 | | glossingSentenceCount | 1 | | matches | | 0 | "not quite a laugh, not quite agreement" | | 1 | "not quite agreement" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.644 | | wordCount | 1553 | | matches | | 0 | "not just Prague, but after" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 108 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 57 | | mean | 27.25 | | std | 21.73 | | cv | 0.798 | | sampleLengths | | 0 | 87 | | 1 | 72 | | 2 | 41 | | 3 | 2 | | 4 | 50 | | 5 | 13 | | 6 | 48 | | 7 | 24 | | 8 | 7 | | 9 | 16 | | 10 | 20 | | 11 | 40 | | 12 | 44 | | 13 | 56 | | 14 | 8 | | 15 | 61 | | 16 | 2 | | 17 | 54 | | 18 | 7 | | 19 | 24 | | 20 | 5 | | 21 | 49 | | 22 | 16 | | 23 | 7 | | 24 | 45 | | 25 | 13 | | 26 | 33 | | 27 | 17 | | 28 | 41 | | 29 | 2 | | 30 | 8 | | 31 | 5 | | 32 | 6 | | 33 | 9 | | 34 | 62 | | 35 | 22 | | 36 | 5 | | 37 | 41 | | 38 | 15 | | 39 | 7 | | 40 | 75 | | 41 | 6 | | 42 | 48 | | 43 | 10 | | 44 | 41 | | 45 | 6 | | 46 | 45 | | 47 | 10 | | 48 | 58 | | 49 | 19 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 71 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 163 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 108 | | ratio | 0.065 | | matches | | 0 | "He watched the man's eyes sweep the room — the old maps pinned to the walls, the black-and-white photographs of places most people would never visit — and land on him with the particular stillness of recognition." | | 1 | "He looked at Owen's hands — manicured now, no calluses, the nails clipped close." | | 2 | "Owen exhaled through his nose — not quite a laugh, not quite agreement." | | 3 | "The silence that followed had weight to it — the kind that presses against the ribs and makes breathing feel deliberate." | | 4 | "Owen's face changed — the guardedness went slack, and something raw and unpracticed took its place." | | 5 | "Silas reached across the table and touched the edge of Owen's wrist — once, brief — and pulled back." | | 6 | "The green neon buzzed its thin note into the dark, and the old photographs watched from the walls — men in doorways, streets at night, cars pulling away — and neither of them reached for the paper." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 926 | | adjectiveStacks | 1 | | stackExamples | | 0 | "usual thin electric note" |
| | adverbCount | 30 | | adverbRatio | 0.032397408207343416 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.004319654427645789 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 108 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 108 | | mean | 14.38 | | std | 10.35 | | cv | 0.72 | | sampleLengths | | 0 | 36 | | 1 | 22 | | 2 | 29 | | 3 | 7 | | 4 | 19 | | 5 | 19 | | 6 | 27 | | 7 | 4 | | 8 | 37 | | 9 | 2 | | 10 | 15 | | 11 | 35 | | 12 | 12 | | 13 | 1 | | 14 | 14 | | 15 | 23 | | 16 | 11 | | 17 | 24 | | 18 | 7 | | 19 | 12 | | 20 | 4 | | 21 | 10 | | 22 | 10 | | 23 | 16 | | 24 | 24 | | 25 | 3 | | 26 | 14 | | 27 | 17 | | 28 | 10 | | 29 | 17 | | 30 | 39 | | 31 | 5 | | 32 | 3 | | 33 | 3 | | 34 | 12 | | 35 | 25 | | 36 | 21 | | 37 | 2 | | 38 | 29 | | 39 | 25 | | 40 | 7 | | 41 | 7 | | 42 | 17 | | 43 | 3 | | 44 | 2 | | 45 | 8 | | 46 | 26 | | 47 | 15 | | 48 | 6 | | 49 | 10 |
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| 44.44% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.2962962962962963 | | totalSentences | 108 | | uniqueOpeners | 32 | |
| 52.91% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 63 | | matches | | 0 | "Somewhere a glass clinked against" |
| | ratio | 0.016 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 15 | | totalSentences | 63 | | matches | | 0 | "He turned the silver signet" | | 1 | "He was thinner than Silas" | | 2 | "His hair had gone steel" | | 3 | "He watched the man's eyes" | | 4 | "He pulled off his gloves" | | 5 | "He looked at Owen's hands" | | 6 | "He set the glass down" | | 7 | "He nodded down at himself" | | 8 | "He said it lightly, the" | | 9 | "He had hung them there" | | 10 | "He reached for his glass" | | 11 | "He rubbed his thumb against" | | 12 | "He leaned forward, forearms on" | | 13 | "He drank it anyway and" | | 14 | "He reached into his coat" |
| | ratio | 0.238 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 61 | | totalSentences | 63 | | matches | | 0 | "The green neon above the" | | 1 | "The Raven's Nest had emptied" | | 2 | "He turned the silver signet" | | 3 | "The bell above the door" | | 4 | "A man stepped in, shaking" | | 5 | "He was thinner than Silas" | | 6 | "His hair had gone steel" | | 7 | "Silas did not move." | | 8 | "He watched the man's eyes" | | 9 | "The voice carried a Welsh" | | 10 | "Owen Pryce stood at the" | | 11 | "Silas raised his glass an" | | 12 | "Owen slid onto the bench" | | 13 | "He pulled off his gloves" | | 14 | "A wedding ring left a" | | 15 | "Owen said, glancing at the" | | 16 | "Owen flagged down the bartender" | | 17 | "Silas waited until the glass" | | 18 | "Owen lifted the glass and" | | 19 | "Silas said nothing." |
| | ratio | 0.968 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 63 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 35 | | technicalSentenceCount | 2 | | matches | | 0 | "Owen Pryce stood at the edge of the booth, rain beading on the shoulders of his coat, a smile pulling at one corner of his mouth as though he'd found a coin in …" | | 1 | "The silence that followed had weight to it — the kind that presses against the ribs and makes breathing feel deliberate." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 22 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 12 | | fancyCount | 2 | | fancyTags | | 0 | "Owen continued (continue)" | | 1 | "Silas corrected (correct)" |
| | dialogueSentences | 59 | | tagDensity | 0.203 | | leniency | 0.407 | | rawRatio | 0.167 | | effectiveRatio | 0.068 | |