| 43.14% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 24 | | adverbTagCount | 4 | | adverbTags | | 0 | "She paused then [then]" | | 1 | "She looked pointedly [pointedly]" | | 2 | "Elara asked softly [softly]" | | 3 | "Rory asked quietly [quietly]" |
| | dialogueSentences | 51 | | tagDensity | 0.471 | | leniency | 0.941 | | rawRatio | 0.167 | | effectiveRatio | 0.157 | |
| 70.44% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1184 | | totalAiIsmAdverbs | 7 | | found | | | highlights | | 0 | "carefully" | | 1 | "really" | | 2 | "softly" | | 3 | "very" |
| |
| 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) | |
| 23.99% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1184 | | totalAiIsms | 18 | | found | | | highlights | | 0 | "familiar" | | 1 | "echoing" | | 2 | "flickered" | | 3 | "constructed" | | 4 | "facade" | | 5 | "unreadable" | | 6 | "silence" | | 7 | "unspoken" | | 8 | "eyebrow" | | 9 | "potential" | | 10 | "fractured" | | 11 | "flicker" | | 12 | "profound" | | 13 | "sense of" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 86 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 86 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 113 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1181 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 16 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 68 | | wordCount | 837 | | uniqueNames | 10 | | maxNameDensity | 3.46 | | worstName | "Rory" | | maxWindowNameDensity | 6 | | worstWindowName | "Rory" | | discoveredNames | | Raven | 2 | | Nest | 2 | | Elara | 24 | | Cardiff | 1 | | University | 1 | | Rory | 29 | | Silas | 6 | | Evan | 1 | | Global | 1 | | Dynamics | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Elara" | | 3 | "University" | | 4 | "Rory" | | 5 | "Silas" | | 6 | "Evan" |
| | places | | | globalScore | 0 | | windowScore | 0 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 63 | | glossingSentenceCount | 6 | | matches | | 0 | "seemed colder sharper" | | 1 | "quite reach her eyes" | | 2 | "felt like a lie" | | 3 | "as if reciting a business card" | | 4 | "as if checking to see who might be listening" | | 5 | "as if waking from a dream" |
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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 | 1181 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 113 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 49 | | mean | 24.1 | | std | 15.99 | | cv | 0.663 | | sampleLengths | | 0 | 74 | | 1 | 28 | | 2 | 18 | | 3 | 83 | | 4 | 20 | | 5 | 36 | | 6 | 7 | | 7 | 39 | | 8 | 42 | | 9 | 22 | | 10 | 23 | | 11 | 23 | | 12 | 10 | | 13 | 9 | | 14 | 25 | | 15 | 20 | | 16 | 12 | | 17 | 16 | | 18 | 28 | | 19 | 41 | | 20 | 18 | | 21 | 30 | | 22 | 11 | | 23 | 35 | | 24 | 39 | | 25 | 12 | | 26 | 18 | | 27 | 9 | | 28 | 33 | | 29 | 23 | | 30 | 7 | | 31 | 6 | | 32 | 33 | | 33 | 27 | | 34 | 18 | | 35 | 18 | | 36 | 7 | | 37 | 2 | | 38 | 16 | | 39 | 42 | | 40 | 6 | | 41 | 14 | | 42 | 16 | | 43 | 32 | | 44 | 4 | | 45 | 30 | | 46 | 39 | | 47 | 19 | | 48 | 41 |
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| 97.10% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 86 | | matches | | 0 | "been extinguished" | | 1 | "were gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 156 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 113 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 840 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 25 | | adverbRatio | 0.02976190476190476 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.010714285714285714 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 113 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 113 | | mean | 10.45 | | std | 6.01 | | cv | 0.575 | | sampleLengths | | 0 | 18 | | 1 | 14 | | 2 | 4 | | 3 | 27 | | 4 | 11 | | 5 | 18 | | 6 | 7 | | 7 | 3 | | 8 | 17 | | 9 | 1 | | 10 | 4 | | 11 | 22 | | 12 | 20 | | 13 | 19 | | 14 | 18 | | 15 | 20 | | 16 | 10 | | 17 | 13 | | 18 | 13 | | 19 | 7 | | 20 | 8 | | 21 | 18 | | 22 | 13 | | 23 | 18 | | 24 | 6 | | 25 | 12 | | 26 | 6 | | 27 | 9 | | 28 | 11 | | 29 | 2 | | 30 | 11 | | 31 | 12 | | 32 | 17 | | 33 | 6 | | 34 | 10 | | 35 | 3 | | 36 | 6 | | 37 | 16 | | 38 | 9 | | 39 | 3 | | 40 | 17 | | 41 | 12 | | 42 | 7 | | 43 | 9 | | 44 | 17 | | 45 | 11 | | 46 | 19 | | 47 | 15 | | 48 | 7 | | 49 | 4 |
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| 64.31% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.40707964601769914 | | totalSentences | 113 | | uniqueOpeners | 46 | |
| 85.47% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 78 | | matches | | 0 | "Instead, she froze." | | 1 | "Even her eyes, those warm" |
| | ratio | 0.026 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 22 | | totalSentences | 78 | | matches | | 0 | "Her fiery red hair, once" | | 1 | "She gestured to the empty" | | 2 | "She sat, her posture ramrod" | | 3 | "She studied Rory, her expression" | | 4 | "She snagged a towel, offering" | | 5 | "She paused, then added" | | 6 | "He nodded curtly in her" | | 7 | "she observed, her gaze fixed" | | 8 | "He leaned against the counter," | | 9 | "she announced, as if reciting" | | 10 | "She looked pointedly at Rory’s" | | 11 | "She thought of Evan, of" | | 12 | "she said, her voice low" | | 13 | "They stared at each other," | | 14 | "She looked down at her" | | 15 | "She swirled the remaining liquid" | | 16 | "he said, without looking up" | | 17 | "She looked at the chessboard," | | 18 | "she said, rising to her" | | 19 | "She turned back to Rory," |
| | ratio | 0.282 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 75 | | totalSentences | 78 | | matches | | 0 | "Rain lashed against the windows" | | 1 | "Rory wiped condensation from a" | | 2 | "Tuesday nights were slow." | | 3 | "Silas nursed a whiskey at" | | 4 | "The slight limp in his" | | 5 | "A gust of wind rattled" | | 6 | "Rory glanced up, expecting a" | | 7 | "Years hadn't been kind." | | 8 | "The bright, rebellious spark that" | | 9 | "Her fiery red hair, once" | | 10 | "The ripped jeans and band" | | 11 | "Rory felt a sudden, inexplicable" | | 12 | "Elara’s gaze swept over the" | | 13 | "Recognition flickered across her face," | | 14 | "A slow smile stretched her" | | 15 | "Rory cleared her throat, setting" | | 16 | "She gestured to the empty" | | 17 | "Elara moved with a controlled" | | 18 | "She sat, her posture ramrod" | | 19 | "She studied Rory, her expression" |
| | ratio | 0.962 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 78 | | matches | (empty) | | ratio | 0 | |
| 58.82% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 34 | | technicalSentenceCount | 4 | | matches | | 0 | "The bright, rebellious spark that had defined Elara back at Cardiff University had been extinguished, replaced by a hard, almost brittle edge." | | 1 | "Rory relayed the order to Silas, who moved with surprising agility behind the bar, gathering ingredients." | | 2 | "Elara hesitated, her eyes darting around the bar as if checking to see who might be listening." | | 3 | "Rory looked at him, her eyes filled with a weariness that went beyond the late hour and the endless cycle of deliveries." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 24 | | uselessAdditionCount | 9 | | matches | | 0 | "She studied, her expression unreadable" | | 1 | "Rory countered, though the statement felt like a lie" | | 2 | "she announced, as if reciting a business card" | | 3 | "Rory asked, her voice carefully neutral" | | 4 | "Rory pressed, unable to resist" | | 5 | "she said, her voice low" | | 6 | "Elara asked softly, her voice losing some of its steel" | | 7 | "he said, without looking up from the chessboard" | | 8 | "he observed, his voice low" |
| |
| 51.96% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 16 | | fancyCount | 5 | | fancyTags | | 0 | "she observed (observe)" | | 1 | "she announced (announce)" | | 2 | "Rory pressed (press)" | | 3 | "Rory corrected (correct)" | | 4 | "he observed (observe)" |
| | dialogueSentences | 51 | | tagDensity | 0.314 | | leniency | 0.627 | | rawRatio | 0.313 | | effectiveRatio | 0.196 | |