| 88.89% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 2 | | adverbTags | | 0 | "He glanced around [around]" | | 1 | "Silas said quietly [quietly]" |
| | dialogueSentences | 32 | | tagDensity | 0.563 | | leniency | 1 | | rawRatio | 0.111 | | effectiveRatio | 0.111 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1112 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 77.52% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1112 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "familiar" | | 1 | "silence" | | 2 | "pulse" | | 3 | "footsteps" | | 4 | "throbbed" |
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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 | 52 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 52 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 66 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 71 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1105 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 35.15% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 32 | | wordCount | 653 | | uniqueNames | 9 | | maxNameDensity | 2.3 | | worstName | "Silas" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Silas" | | discoveredNames | | Silas | 15 | | Raven | 1 | | Nest | 1 | | God | 1 | | Prague | 2 | | Marcus | 9 | | Thorne | 1 | | Talisker | 1 | | Aurora | 1 |
| | persons | | 0 | "Silas" | | 1 | "Marcus" | | 2 | "Thorne" | | 3 | "Aurora" |
| | places | | | globalScore | 0.351 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 35 | | 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 | 1105 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 66 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 31 | | mean | 35.65 | | std | 33.62 | | cv | 0.943 | | sampleLengths | | 0 | 90 | | 1 | 19 | | 2 | 9 | | 3 | 3 | | 4 | 76 | | 5 | 3 | | 6 | 35 | | 7 | 25 | | 8 | 20 | | 9 | 1 | | 10 | 72 | | 11 | 30 | | 12 | 59 | | 13 | 16 | | 14 | 4 | | 15 | 59 | | 16 | 27 | | 17 | 103 | | 18 | 36 | | 19 | 4 | | 20 | 6 | | 21 | 54 | | 22 | 79 | | 23 | 9 | | 24 | 138 | | 25 | 25 | | 26 | 9 | | 27 | 43 | | 28 | 23 | | 29 | 8 | | 30 | 20 |
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| 91.77% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 52 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 113 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 66 | | ratio | 0.061 | | matches | | 0 | "The early evening crowd at The Raven's Nest was thin and reliable—a translator who came for the silence, two students who pretended to understand the maps on the walls, a widower who drank gin and read the same paperback he never finished." | | 1 | "So when the footsteps came—uneven, deliberate, with a hitch he recognized before he placed it—he set the glass down." | | 2 | "But the eyes were the same flat, watchful grey, and the voice—God, the voice—carried Prague in it still, that low register they had used in the safe house when the walls had ears." | | 3 | "\"No.\" For the first time something cracked in the older man's composure, and beneath it Silas saw the friend he had buried alive in a Prague stairwell—younger, frightened, brilliant, loyal past the point of sense." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 659 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 16 | | adverbRatio | 0.024279210925644917 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.007587253414264037 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 66 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 66 | | mean | 16.74 | | std | 15.08 | | cv | 0.901 | | sampleLengths | | 0 | 28 | | 1 | 4 | | 2 | 42 | | 3 | 16 | | 4 | 19 | | 5 | 9 | | 6 | 3 | | 7 | 12 | | 8 | 25 | | 9 | 6 | | 10 | 33 | | 11 | 3 | | 12 | 20 | | 13 | 15 | | 14 | 17 | | 15 | 4 | | 16 | 4 | | 17 | 20 | | 18 | 1 | | 19 | 3 | | 20 | 28 | | 21 | 41 | | 22 | 19 | | 23 | 7 | | 24 | 4 | | 25 | 37 | | 26 | 22 | | 27 | 5 | | 28 | 6 | | 29 | 5 | | 30 | 4 | | 31 | 11 | | 32 | 48 | | 33 | 22 | | 34 | 5 | | 35 | 19 | | 36 | 71 | | 37 | 13 | | 38 | 8 | | 39 | 13 | | 40 | 15 | | 41 | 4 | | 42 | 6 | | 43 | 32 | | 44 | 22 | | 45 | 13 | | 46 | 45 | | 47 | 10 | | 48 | 11 | | 49 | 9 |
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| 45.45% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.36363636363636365 | | totalSentences | 66 | | uniqueOpeners | 24 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 47 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 12 | | totalSentences | 47 | | matches | | 0 | "He rarely did anymore." | | 1 | "He let them settle." | | 2 | "He glanced around the bar," | | 3 | "He said it without malice," | | 4 | "He pushed one across the" | | 5 | "He gestured at it, the" | | 6 | "He thought of Aurora coming" | | 7 | "He had never asked himself" | | 8 | "He resented Marcus, dying and" | | 9 | "He stopped, because there was" | | 10 | "It was not enough." | | 11 | "It was nineteen years too" |
| | ratio | 0.255 | |
| 13.19% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 42 | | totalSentences | 47 | | matches | | 0 | "The green neon buzzed its" | | 1 | "He rarely did anymore." | | 2 | "The early evening crowd at" | | 3 | "Silas knew the rhythm of" | | 4 | "the man said" | | 5 | "Silas looked up." | | 6 | "The face across the bar" | | 7 | "The hair had gone entirely" | | 8 | "Marcus Thorne lowered himself onto" | | 9 | "Silas felt the old reflexes" | | 10 | "He let them settle." | | 11 | "Marcus's mouth twitched." | | 12 | "He glanced around the bar," | | 13 | "He said it without malice," | | 14 | "Silas poured two glasses of" | | 15 | "He pushed one across the" | | 16 | "Marcus turned the glass in" | | 17 | "The widower turned a page." | | 18 | "The students laughed at something" | | 19 | "Silas heard none of it." |
| | ratio | 0.894 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 47 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 18 | | technicalSentenceCount | 1 | | matches | | 0 | "The early evening crowd at The Raven's Nest was thin and reliable—a translator who came for the silence, two students who pretended to understand the maps on th…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 32 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 0 | | effectiveRatio | 0 | |