| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 26 | | adverbTagCount | 6 | | adverbTags | | 0 | "He gestured vaguely [vaguely]" | | 1 | "He paused then [then]" | | 2 | "she began then [then]" | | 3 | "he corrected gently [gently]" | | 4 | "he said finally [finally]" | | 5 | "he said quietly [quietly]" |
| | dialogueSentences | 37 | | tagDensity | 0.703 | | leniency | 1 | | rawRatio | 0.231 | | effectiveRatio | 0.231 | |
| 78.45% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1160 | | totalAiIsmAdverbs | 5 | | 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) | |
| 9.48% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1160 | | totalAiIsms | 21 | | found | | | highlights | | 0 | "echo" | | 1 | "chill" | | 2 | "pulse" | | 3 | "etched" | | 4 | "intensity" | | 5 | "scanned" | | 6 | "flicker" | | 7 | "unspoken" | | 8 | "constructed" | | 9 | "facade" | | 10 | "weight" | | 11 | "pang" | | 12 | "comfortable" | | 13 | "silence" | | 14 | "familiar" |
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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 | 69 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 69 | | 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 | | maxSentenceWordsSeen | 35 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1161 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 22 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 17 | | wordCount | 893 | | uniqueNames | 10 | | maxNameDensity | 0.56 | | worstName | "Silas" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Silas" | | discoveredNames | | Soho | 1 | | Aurora | 1 | | Raven | 2 | | Nest | 2 | | Silas | 5 | | Blackwood | 1 | | Fifteen | 1 | | Cardiff | 1 | | London | 1 | | Prague | 2 |
| | persons | | 0 | "Aurora" | | 1 | "Raven" | | 2 | "Silas" | | 3 | "Blackwood" |
| | places | | 0 | "Soho" | | 1 | "Cardiff" | | 2 | "London" | | 3 | "Prague" |
| | globalScore | 1 | | windowScore | 1 | |
| 55.66% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 53 | | glossingSentenceCount | 2 | | matches | | 0 | "quite decipher" | | 1 | "felt like a crack in the carefully cons" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.861 | | wordCount | 1161 | | matches | | 0 | "Not the girl who fled, but the one I knew" |
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| 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 | 30 | | mean | 38.7 | | std | 27.09 | | cv | 0.7 | | sampleLengths | | 0 | 113 | | 1 | 4 | | 2 | 131 | | 3 | 37 | | 4 | 16 | | 5 | 36 | | 6 | 37 | | 7 | 40 | | 8 | 27 | | 9 | 21 | | 10 | 48 | | 11 | 55 | | 12 | 12 | | 13 | 34 | | 14 | 53 | | 15 | 22 | | 16 | 26 | | 17 | 42 | | 18 | 25 | | 19 | 33 | | 20 | 21 | | 21 | 35 | | 22 | 26 | | 23 | 42 | | 24 | 47 | | 25 | 21 | | 26 | 17 | | 27 | 34 | | 28 | 21 | | 29 | 85 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 69 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 141 | | matches | | 0 | "was talking" | | 1 | "was offering" |
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| 3.48% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 82 | | ratio | 0.049 | | matches | | 0 | "A flicker of something – recognition?" | | 1 | "– crossed his face." | | 2 | "She’d heard snippets, rumors whispered in the darker corners of London’s underworld – whispers of a retired MI6 agent running a bar, handling discreet requests, cultivating a network of contacts." | | 3 | "The mention of Prague – a place she knew little about but instinctively grasped was the source of his pain – felt like a crack in the carefully constructed facade of their conversation." |
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| 92.35% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 203 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 9 | | adverbRatio | 0.04433497536945813 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.024630541871921183 | |
| 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 | 14.16 | | std | 8.79 | | cv | 0.621 | | sampleLengths | | 0 | 34 | | 1 | 20 | | 2 | 25 | | 3 | 34 | | 4 | 4 | | 5 | 19 | | 6 | 4 | | 7 | 20 | | 8 | 3 | | 9 | 1 | | 10 | 29 | | 11 | 34 | | 12 | 21 | | 13 | 14 | | 14 | 6 | | 15 | 4 | | 16 | 13 | | 17 | 16 | | 18 | 9 | | 19 | 27 | | 20 | 13 | | 21 | 20 | | 22 | 4 | | 23 | 11 | | 24 | 26 | | 25 | 3 | | 26 | 6 | | 27 | 21 | | 28 | 12 | | 29 | 9 | | 30 | 12 | | 31 | 31 | | 32 | 5 | | 33 | 13 | | 34 | 12 | | 35 | 30 | | 36 | 12 | | 37 | 5 | | 38 | 29 | | 39 | 33 | | 40 | 20 | | 41 | 19 | | 42 | 3 | | 43 | 11 | | 44 | 15 | | 45 | 14 | | 46 | 10 | | 47 | 5 | | 48 | 13 | | 49 | 12 |
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| 62.60% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.4268292682926829 | | totalSentences | 82 | | uniqueOpeners | 35 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 64 | | matches | | 0 | "Then he walked in." | | 1 | "Then, he said, quietly," |
| | ratio | 0.031 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 42 | | totalSentences | 64 | | matches | | 0 | "She’d been nursing this drink" | | 1 | "She’d come to The Raven’s" | | 2 | "It was Silas Blackwood." | | 3 | "He moved with a slight" | | 4 | "His grey-streaked auburn hair was" | | 5 | "He wore a dark, impeccably" | | 6 | "He scanned the bar, a" | | 7 | "He paused, then moved towards" | | 8 | "he asked, his voice a" | | 9 | "She straightened, setting down her" | | 10 | "It felt clumsy, inadequate, like" | | 11 | "He slid onto the stool" | | 12 | "he admitted, his hazel eyes," | | 13 | "she said, the words hanging" | | 14 | "He gave a short, humorless" | | 15 | "He gestured vaguely at her" | | 16 | "she replied, a defensive edge" | | 17 | "he said, his gaze drifting" | | 18 | "He tapped the silver signet" | | 19 | "She knew, without him needing" |
| | ratio | 0.656 | |
| 22.50% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 56 | | totalSentences | 64 | | matches | | 0 | "The rain in Soho was" | | 1 | "Aurora, clutching a lukewarm beer," | | 2 | "She’d been nursing this drink" | | 3 | "She’d come to The Raven’s" | | 4 | "The door swung inward with" | | 5 | "It was Silas Blackwood." | | 6 | "This Silas was…" | | 7 | "He moved with a slight" | | 8 | "His grey-streaked auburn hair was" | | 9 | "He wore a dark, impeccably" | | 10 | "He scanned the bar, a" | | 11 | "A flicker of something –" | | 12 | "He paused, then moved towards" | | 13 | "he asked, his voice a" | | 14 | "She straightened, setting down her" | | 15 | "It felt clumsy, inadequate, like" | | 16 | "He slid onto the stool" | | 17 | "he admitted, his hazel eyes," | | 18 | "she said, the words hanging" | | 19 | "He gave a short, humorless" |
| | ratio | 0.875 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 64 | | matches | (empty) | | ratio | 0 | |
| 63.49% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 27 | | technicalSentenceCount | 3 | | matches | | 0 | "She’d come to The Raven’s Nest on a whim, a desperate need to be somewhere that smelled of old wood and whiskey, a place that didn’t pulse with the sterile ener…" | | 1 | "He moved with a slight limp, a subtle hitch in his stride that spoke of old injuries and a life lived just a little too close to the edge." | | 2 | "His grey-streaked auburn hair was neatly trimmed, the grey a denser, more pronounced shade than she recalled, and his face, weathered and etched with lines that…" |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 26 | | uselessAdditionCount | 7 | | matches | | 0 | "she said, the words hanging in the damp air" | | 1 | "He gestured vaguely, a shadow of a smile touching his lips" | | 2 | "she replied, a defensive edge creeping into her voice" | | 3 | "he said, his gaze drifting to the rain-streaked windows" | | 4 | "she said, the words coming out sharper than she intended" | | 5 | "he countered, his voice low and laced with a hint of accusation" | | 6 | "he observed, his voice dry" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 15 | | fancyCount | 6 | | fancyTags | | 0 | "he admitted (admit)" | | 1 | "he confirmed (confirm)" | | 2 | "she mumbled (mumble)" | | 3 | "he corrected gently (correct)" | | 4 | "he observed (observe)" | | 5 | "she whispered (whisper)" |
| | dialogueSentences | 37 | | tagDensity | 0.405 | | leniency | 0.811 | | rawRatio | 0.4 | | effectiveRatio | 0.324 | |