| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 1 | | adverbTags | | 0 | "She drank again [again]" |
| | dialogueSentences | 41 | | tagDensity | 0.293 | | leniency | 0.585 | | rawRatio | 0.083 | | effectiveRatio | 0.049 | |
| 72.58% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1094 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "very" | | 1 | "slightly" | | 2 | "truly" |
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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) | |
| 86.29% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1094 | | totalAiIsms | 3 | | found | | | highlights | | 0 | "familiar" | | 1 | "weight" | | 2 | "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 | 59 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 59 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 86 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 54 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1102 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 17 | | wordCount | 758 | | uniqueNames | 13 | | maxNameDensity | 0.4 | | worstName | "Silas" | | maxWindowNameDensity | 1 | | worstWindowName | "Silas" | | discoveredNames | | Silas | 3 | | Blackwood | 1 | | Tuesday | 1 | | Raven | 1 | | Nest | 1 | | Kierkegaard | 1 | | Hollis | 1 | | Closed | 1 | | Škoda | 1 | | Prague | 1 | | February | 1 | | Aurora | 1 | | Margaret | 3 |
| | persons | | 0 | "Silas" | | 1 | "Blackwood" | | 2 | "Hollis" | | 3 | "Margaret" |
| | places | | 0 | "Raven" | | 1 | "Prague" | | 2 | "February" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 37 | | 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 | 1102 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 86 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 40 | | mean | 27.55 | | std | 29.32 | | cv | 1.064 | | sampleLengths | | 0 | 107 | | 1 | 67 | | 2 | 4 | | 3 | 100 | | 4 | 16 | | 5 | 3 | | 6 | 11 | | 7 | 45 | | 8 | 2 | | 9 | 42 | | 10 | 38 | | 11 | 3 | | 12 | 8 | | 13 | 2 | | 14 | 27 | | 15 | 12 | | 16 | 73 | | 17 | 4 | | 18 | 6 | | 19 | 53 | | 20 | 2 | | 21 | 52 | | 22 | 58 | | 23 | 7 | | 24 | 2 | | 25 | 3 | | 26 | 72 | | 27 | 3 | | 28 | 15 | | 29 | 67 | | 30 | 20 | | 31 | 5 | | 32 | 20 | | 33 | 3 | | 34 | 57 | | 35 | 3 | | 36 | 59 | | 37 | 4 | | 38 | 17 | | 39 | 10 |
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| 87.42% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 59 | | matches | | 0 | "been emptied" | | 1 | "been trained" | | 2 | "being known " |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 128 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 1 | | flaggedSentences | 7 | | totalSentences | 86 | | ratio | 0.081 | | matches | | 0 | "Rain had dragged a thin crowd into the Raven's Nest — two students arguing about Kierkegaard in the corner, a woman pretending to read a paperback while waiting for someone who would not come — and Silas found the quiet agreeable." | | 1 | "No — she'd remarried, hadn't she." | | 2 | "\"I remember everything,\" he said, and heard how it came out — heavier than he meant, closer to confession than fact." | | 3 | "She laughed then — a single soft note, nothing like the laugh he remembered, but enough." | | 4 | "\"Don't be generous. You were never generous with yourself; don't start being generous with me.\"" | | 5 | "There was a particular pain in being known — truly known, after years of being merely observed — and he had not felt it in so long that it came on him like weather, unbidden and total." | | 6 | "And he found, to his quiet astonishment, that after thirty years he still did not have the words — only the shape of them, worn smooth as a stone in a pocket, a thing carried so long it had become indistinguishable from the hand that carried it." |
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| 98.93% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 752 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 31 | | adverbRatio | 0.041223404255319146 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.010638297872340425 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 86 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 86 | | mean | 12.81 | | std | 12.18 | | cv | 0.95 | | sampleLengths | | 0 | 33 | | 1 | 41 | | 2 | 33 | | 3 | 7 | | 4 | 22 | | 5 | 10 | | 6 | 4 | | 7 | 6 | | 8 | 18 | | 9 | 3 | | 10 | 1 | | 11 | 20 | | 12 | 2 | | 13 | 6 | | 14 | 5 | | 15 | 24 | | 16 | 18 | | 17 | 12 | | 18 | 13 | | 19 | 6 | | 20 | 3 | | 21 | 7 | | 22 | 3 | | 23 | 5 | | 24 | 6 | | 25 | 29 | | 26 | 7 | | 27 | 6 | | 28 | 3 | | 29 | 2 | | 30 | 21 | | 31 | 8 | | 32 | 8 | | 33 | 5 | | 34 | 29 | | 35 | 9 | | 36 | 3 | | 37 | 8 | | 38 | 2 | | 39 | 16 | | 40 | 4 | | 41 | 7 | | 42 | 12 | | 43 | 16 | | 44 | 39 | | 45 | 7 | | 46 | 11 | | 47 | 4 | | 48 | 6 | | 49 | 18 |
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| 60.47% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.4186046511627907 | | totalSentences | 86 | | uniqueOpeners | 36 | |
| 62.89% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 53 | | matches | | 0 | "Then he raised his eyes," |
| | ratio | 0.019 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 32 | | totalSentences | 53 | | matches | | 0 | "He let his left leg" | | 1 | "He felt her before he" | | 2 | "He finished the glass." | | 3 | "He set it on the" | | 4 | "She had stopped just inside" | | 5 | "He couldn't remember the name." | | 6 | "Her hair had gone entirely" | | 7 | "She had been a red-haired" | | 8 | "She looked as though she" | | 9 | "Her voice was the same" | | 10 | "She came to the bar" | | 11 | "He poured her a whisky" | | 12 | "Her eyebrows lifted." | | 13 | "he said, and heard how" | | 14 | "He set the glass in" | | 15 | "His signet ring clicked once" | | 16 | "She lifted the glass, considered" | | 17 | "She laughed then — a" | | 18 | "She turned the glass a" | | 19 | "She looked up" |
| | ratio | 0.604 | |
| 35.47% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 45 | | totalSentences | 53 | | matches | | 0 | "The green neon above the" | | 1 | "Rain had dragged a thin" | | 2 | "He let his left leg" | | 3 | "He felt her before he" | | 4 | "Some old nerve at the" | | 5 | "He finished the glass." | | 6 | "He set it on the" | | 7 | "She had stopped just inside" | | 8 | "He couldn't remember the name." | | 9 | "Her hair had gone entirely" | | 10 | "She had been a red-haired" | | 11 | "The woman in the doorway" | | 12 | "She looked as though she" | | 13 | "Her voice was the same" | | 14 | "That, at least." | | 15 | "A small, careful smile" | | 16 | "She came to the bar" | | 17 | "He poured her a whisky" | | 18 | "Talisker, neat, a splash of" | | 19 | "Her eyebrows lifted." |
| | ratio | 0.849 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 53 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 22 | | technicalSentenceCount | 5 | | matches | | 0 | "The green neon above the door buzzed its usual tired hymn, and Silas Blackwood, as was his habit on Tuesday evenings, stood behind the bar polishing a glass tha…" | | 1 | "Rain had dragged a thin crowd into the Raven's Nest — two students arguing about Kierkegaard in the corner, a woman pretending to read a paperback while waiting…" | | 2 | "Her hair had gone entirely white, cropped close to her skull in a way that suited her cheekbones but felt violent somehow, a declaration." | | 3 | "Enough that for a moment he could see the woman who had crouched with him behind a Škoda in a Prague alley in February of 1994, her breath ghosting white, her h…" | | 4 | "And he found, to his quiet astonishment, that after thirty years he still did not have the words — only the shape of them, worn smooth as a stone in a pocket, a…" |
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| 83.33% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 1 | | matches | | 0 | "She drank again, and the glass trembled very slightly, and she set it down with great care" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 41 | | tagDensity | 0.146 | | leniency | 0.293 | | rawRatio | 0.167 | | effectiveRatio | 0.049 | |