| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 19 | | adverbTagCount | 1 | | adverbTags | | 0 | "The name felt like [like]" |
| | dialogueSentences | 38 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0.053 | | effectiveRatio | 0.053 | |
| 91.95% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1243 | | totalAiIsmAdverbs | 2 | | 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) | |
| 43.68% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1243 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "pulse" | | 1 | "familiar" | | 2 | "mosaic" | | 3 | "crystal" | | 4 | "flicker" | | 5 | "calculated" | | 6 | "silk" | | 7 | "weight" | | 8 | "whisper" | | 9 | "pulsed" | | 10 | "gloom" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "knuckles turned white" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 63 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 63 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 82 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 40 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1242 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 18 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 16 | | wordCount | 887 | | uniqueNames | 8 | | maxNameDensity | 0.68 | | worstName | "Silas" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Silas" | | discoveredNames | | Raven | 2 | | Nest | 3 | | Soho | 1 | | Silas | 6 | | Cardiff | 1 | | Golden | 1 | | Empress | 1 | | London | 1 |
| | persons | | | places | | 0 | "Soho" | | 1 | "Cardiff" | | 2 | "London" |
| | globalScore | 1 | | windowScore | 1 | |
| 60.71% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 56 | | glossingSentenceCount | 2 | | matches | | 0 | "felt like glass in my mouth" | | 1 | "felt like a negotiation with gravity" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1242 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 82 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 39 | | mean | 31.85 | | std | 20.25 | | cv | 0.636 | | sampleLengths | | 0 | 54 | | 1 | 15 | | 2 | 66 | | 3 | 3 | | 4 | 10 | | 5 | 49 | | 6 | 14 | | 7 | 1 | | 8 | 4 | | 9 | 61 | | 10 | 9 | | 11 | 50 | | 12 | 32 | | 13 | 54 | | 14 | 20 | | 15 | 19 | | 16 | 32 | | 17 | 9 | | 18 | 41 | | 19 | 52 | | 20 | 16 | | 21 | 46 | | 22 | 7 | | 23 | 48 | | 24 | 46 | | 25 | 31 | | 26 | 48 | | 27 | 6 | | 28 | 43 | | 29 | 39 | | 30 | 19 | | 31 | 44 | | 32 | 39 | | 33 | 9 | | 34 | 51 | | 35 | 13 | | 36 | 77 | | 37 | 15 | | 38 | 50 |
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| 94.12% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 63 | | matches | | 0 | "been replaced" | | 1 | "was wrapped" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 146 | | matches | | 0 | "was watching" | | 1 | "was studying" |
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| 73.17% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 1 | | flaggedSentences | 2 | | totalSentences | 82 | | ratio | 0.024 | | matches | | 0 | "She hadn't changed in the ways I expected; the sharpness in her jaw was still there, but the flicker of chaos that used to define her eyes had been replaced by a cold, calculated stillness." | | 1 | "\"I found a different kind of hiding spot.\" I pulled the chair out—the metal stuttered against the floor—and sat." |
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| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 898 | | adjectiveStacks | 2 | | stackExamples | | 0 | "sharp, polished aesthetic he" | | 1 | "heavy, envelope-sized object" |
| | adverbCount | 21 | | adverbRatio | 0.02338530066815145 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.013363028953229399 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 82 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 82 | | mean | 15.15 | | std | 8.11 | | cv | 0.536 | | sampleLengths | | 0 | 19 | | 1 | 15 | | 2 | 20 | | 3 | 15 | | 4 | 17 | | 5 | 26 | | 6 | 23 | | 7 | 3 | | 8 | 10 | | 9 | 12 | | 10 | 20 | | 11 | 17 | | 12 | 14 | | 13 | 1 | | 14 | 4 | | 15 | 9 | | 16 | 19 | | 17 | 20 | | 18 | 13 | | 19 | 9 | | 20 | 15 | | 21 | 35 | | 22 | 5 | | 23 | 15 | | 24 | 12 | | 25 | 3 | | 26 | 11 | | 27 | 8 | | 28 | 32 | | 29 | 12 | | 30 | 8 | | 31 | 19 | | 32 | 14 | | 33 | 18 | | 34 | 9 | | 35 | 19 | | 36 | 22 | | 37 | 13 | | 38 | 12 | | 39 | 27 | | 40 | 16 | | 41 | 40 | | 42 | 6 | | 43 | 7 | | 44 | 12 | | 45 | 36 | | 46 | 5 | | 47 | 26 | | 48 | 15 | | 49 | 11 |
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| 53.25% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.3780487804878049 | | totalSentences | 82 | | uniqueOpeners | 31 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 59 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 43 | | totalSentences | 59 | | matches | | 0 | "I hauled the insulated delivery" | | 1 | "I said, sliding the box" | | 2 | "He reached out with his" | | 3 | "His grey-streaked auburn beard looked" | | 4 | "I leaned against the bar," | | 5 | "My breath hitched when I" | | 6 | "I turned, following the direction" | | 7 | "She wore a tailored charcoal" | | 8 | "Her hair, once a wild," | | 9 | "She lifted her glass, the" | | 10 | "She hadn't changed in the" | | 11 | "Her voice remained low, a" | | 12 | "I didn't answer." | | 13 | "I walked toward her, the" | | 14 | "We used to be inseparable," | | 15 | "she said, nodding to the" | | 16 | "I pulled the chair out—the" | | 17 | "She gestured toward my delivery" | | 18 | "she corrected, her fingers tightening" | | 19 | "I took a breath, the" |
| | ratio | 0.729 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 59 | | totalSentences | 59 | | matches | | 0 | "The heavy glass door of" | | 1 | "The air inside felt stagnant," | | 2 | "I hauled the insulated delivery" | | 3 | "I said, sliding the box" | | 4 | "Silas remained motionless, his focus" | | 5 | "He reached out with his" | | 6 | "His grey-streaked auburn beard looked" | | 7 | "I leaned against the bar," | | 8 | "The wall behind him displayed" | | 9 | "My breath hitched when I" | | 10 | "Silas murmured, his hazel eyes" | | 11 | "I turned, following the direction" | | 12 | "A woman leaned against the" | | 13 | "She wore a tailored charcoal" | | 14 | "Her hair, once a wild," | | 15 | "The name felt like glass" | | 16 | "She lifted her glass, the" | | 17 | "She hadn't changed in the" | | 18 | "Her voice remained low, a" | | 19 | "I didn't answer." |
| | ratio | 1 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 59 | | matches | (empty) | | ratio | 0 | |
| 43.65% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 36 | | technicalSentenceCount | 5 | | matches | | 0 | "She wore a tailored charcoal blazer that looked expensive, entirely at odds with the sticky, beer-sodden atmosphere of the Nest." | | 1 | "She hadn't changed in the ways I expected; the sharpness in her jaw was still there, but the flicker of chaos that used to define her eyes had been replaced by …" | | 2 | "We used to be inseparable, a pair of teenage fugitives running from the stifling expectations of Cardiff, but the versions of us that stood in this room were st…" | | 3 | "Silas was watching us with the detached interest of a man who held the keys to the kingdom, his hand resting casually near the hidden bookshelf." | | 4 | "The crescent-shaped scar on my left wrist pulsed, a phantom ache from the day my father taught me that secrets are the only currency that matters in a broken ho…" |
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| 19.74% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 19 | | uselessAdditionCount | 4 | | matches | | 0 | "she interrupted, her expression tightening into something brittle" | | 1 | "I said, my voice barely a whisper" | | 2 | "I said, my gaze dropping to the plastic," | | 3 | "I called out, my voice steadying" |
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| 44.74% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 13 | | fancyCount | 4 | | fancyTags | | 0 | "Silas murmured (murmur)" | | 1 | "she corrected (correct)" | | 2 | "she interrupted (interrupt)" | | 3 | "I called out (call out)" |
| | dialogueSentences | 38 | | tagDensity | 0.342 | | leniency | 0.684 | | rawRatio | 0.308 | | effectiveRatio | 0.211 | |