| 49.06% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 20 | | adverbTagCount | 4 | | adverbTags | | 0 | "he finally said [finally]" | | 1 | "Silas turned away [away]" | | 2 | "She stood abruptly [abruptly]" | | 3 | "she said quietly [quietly]" |
| | dialogueSentences | 53 | | tagDensity | 0.377 | | leniency | 0.755 | | rawRatio | 0.2 | | effectiveRatio | 0.151 | |
| 80.59% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1288 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "completely" | | 1 | "really" | | 2 | "quickly" | | 3 | "carefully" | | 4 | "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) | |
| 37.89% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1288 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "warmth" | | 1 | "familiar" | | 2 | "scanned" | | 3 | "methodical" | | 4 | "weight" | | 5 | "eyebrow" | | 6 | "silence" | | 7 | "glinting" | | 8 | "determined" | | 9 | "tracing" | | 10 | "scripted" | | 11 | "constructed" | | 12 | "beacon" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "weight of words/silence" | | count | 1 |
| | 1 | | label | "sent a shiver through" | | count | 1 |
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| | highlights | | 0 | "The weight of his words" | | 1 | "sent a jolt through" |
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| 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 | 94 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 37 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1281 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 31 | | wordCount | 840 | | uniqueNames | 10 | | maxNameDensity | 0.95 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Raven | 2 | | Nest | 2 | | Carter | 2 | | London | 3 | | Cardiff | 2 | | Blackwood | 1 | | Rory | 8 | | Aurora | 2 | | Silas | 8 | | Prague | 1 |
| | persons | | 0 | "Raven" | | 1 | "Carter" | | 2 | "Blackwood" | | 3 | "Rory" | | 4 | "Aurora" | | 5 | "Silas" |
| | places | | 0 | "London" | | 1 | "Cardiff" | | 2 | "Prague" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 52 | | glossingSentenceCount | 1 | | matches | | 0 | "felt like a lifetime had passed between" |
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| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 3 | | per1kWords | 2.342 | | wordCount | 1281 | | matches | | 0 | "not Rory, not Carter, but Aurora" | | 1 | "not Carter, but Aurora" | | 2 | "not touching her but creating a barrier she couldn't ignore" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 94 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 46 | | mean | 27.85 | | std | 16.27 | | cv | 0.584 | | sampleLengths | | 0 | 60 | | 1 | 62 | | 2 | 58 | | 3 | 31 | | 4 | 1 | | 5 | 33 | | 6 | 9 | | 7 | 30 | | 8 | 6 | | 9 | 13 | | 10 | 19 | | 11 | 36 | | 12 | 14 | | 13 | 34 | | 14 | 39 | | 15 | 17 | | 16 | 23 | | 17 | 28 | | 18 | 28 | | 19 | 4 | | 20 | 33 | | 21 | 51 | | 22 | 34 | | 23 | 13 | | 24 | 43 | | 25 | 57 | | 26 | 27 | | 27 | 19 | | 28 | 2 | | 29 | 27 | | 30 | 7 | | 31 | 29 | | 32 | 23 | | 33 | 34 | | 34 | 21 | | 35 | 29 | | 36 | 35 | | 37 | 15 | | 38 | 25 | | 39 | 38 | | 40 | 4 | | 41 | 22 | | 42 | 53 | | 43 | 10 | | 44 | 26 | | 45 | 59 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 62 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 137 | | matches | (empty) | |
| 82.07% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 94 | | ratio | 0.021 | | matches | | 0 | "The walls, adorned with their collection of old maps and black-and-white photographs, remained unchanged—frozen in time while she had been anything but." | | 1 | "The name—not Rory, not Carter, but Aurora—sent a jolt through her." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 387 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 10 | | adverbRatio | 0.025839793281653745 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.007751937984496124 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 94 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 94 | | mean | 13.63 | | std | 8.23 | | cv | 0.604 | | sampleLengths | | 0 | 16 | | 1 | 17 | | 2 | 2 | | 3 | 25 | | 4 | 24 | | 5 | 16 | | 6 | 22 | | 7 | 20 | | 8 | 20 | | 9 | 2 | | 10 | 16 | | 11 | 11 | | 12 | 8 | | 13 | 12 | | 14 | 1 | | 15 | 11 | | 16 | 22 | | 17 | 9 | | 18 | 23 | | 19 | 7 | | 20 | 6 | | 21 | 12 | | 22 | 1 | | 23 | 13 | | 24 | 6 | | 25 | 16 | | 26 | 20 | | 27 | 13 | | 28 | 1 | | 29 | 22 | | 30 | 12 | | 31 | 19 | | 32 | 20 | | 33 | 15 | | 34 | 2 | | 35 | 18 | | 36 | 5 | | 37 | 24 | | 38 | 4 | | 39 | 16 | | 40 | 7 | | 41 | 5 | | 42 | 4 | | 43 | 17 | | 44 | 16 | | 45 | 3 | | 46 | 29 | | 47 | 19 | | 48 | 16 | | 49 | 18 |
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| 65.60% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.4574468085106383 | | totalSentences | 94 | | uniqueOpeners | 43 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 60 | | matches | (empty) | | ratio | 0 | |
| 66.67% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 23 | | totalSentences | 60 | | matches | | 0 | "She scanned the room instinctively," | | 1 | "He looked up, his hazel" | | 2 | "It was the name he'd" | | 3 | "Her voice surprised her, steadier" | | 4 | "He set the glass down" | | 5 | "He gestured to the stool" | | 6 | "he finally said, sliding the" | | 7 | "She ran a hand through" | | 8 | "He leaned forward, elbows on" | | 9 | "His tone was gentle but" | | 10 | "He picked up a cloth," | | 11 | "she said, her voice dropping" | | 12 | "His fingers stilled on the" | | 13 | "She shook her head" | | 14 | "She stood abruptly, reaching for" | | 15 | "His hand shot across the" | | 16 | "He stopped, the name hanging" | | 17 | "She sank back onto the" | | 18 | "He shook his head" | | 19 | "she said quietly" |
| | ratio | 0.383 | |
| 1.67% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 55 | | totalSentences | 60 | | matches | | 0 | "The green neon of The" | | 1 | "Aurora Carter pulled her jacket" | | 2 | "The heavy oak door of" | | 3 | "The familiar scent of aged" | | 4 | "The walls, adorned with their" | | 5 | "She scanned the room instinctively," | | 6 | "He looked up, his hazel" | | 7 | "The glass stopped midway through" | | 8 | "Time seemed to hang suspended" | | 9 | "The name—not Rory, not Carter," | | 10 | "It was the name he'd" | | 11 | "Her voice surprised her, steadier" | | 12 | "He set the glass down" | | 13 | "He gestured to the stool" | | 14 | "Rory slid onto the leather" | | 15 | "Silas raised an eyebrow but" | | 16 | "The silence between them stretched," | | 17 | "he finally said, sliding the" | | 18 | "She ran a hand through" | | 19 | "He leaned forward, elbows on" |
| | ratio | 0.917 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 60 | | matches | (empty) | | ratio | 0 | |
| 53.57% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 32 | | technicalSentenceCount | 4 | | matches | | 0 | "Grey-streaked auburn hair, a neatly trimmed beard, and the silver signet ring that had always caught the light just so." | | 1 | "The one that had ended his career in MI6, that had left him with a permanent knee injury and a collection of scars that went far deeper than bone." | | 2 | "Rory looked at her hands, at the crescent scar that marked her past, at the delivery uniform that marked her present." | | 3 | "With trembling fingers, Rory broke the seal, unfolding the paper that had yellowed slightly with age." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 20 | | uselessAdditionCount | 1 | | matches | | 0 | "He stopped, the name hanging in the air between them" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 53 | | tagDensity | 0.075 | | leniency | 0.151 | | rawRatio | 0 | | effectiveRatio | 0 | |