| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 14 | | tagDensity | 0.429 | | leniency | 0.857 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 94.15% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 855 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 80.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 23.98% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 855 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "flickered" | | 1 | "jaw clenched" | | 2 | "pulse" | | 3 | "etched" | | 4 | "stomach" | | 5 | "churn" | | 6 | "glistening" | | 7 | "scanning" | | 8 | "glint" | | 9 | "familiar" | | 10 | "silence" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "jaw/fists clenched" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 75 | | matches | (empty) | |
| 85.71% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 1 | | narrationSentences | 75 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 83 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 28 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 858 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.08% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 36 | | wordCount | 715 | | uniqueNames | 15 | | maxNameDensity | 1.68 | | worstName | "Harlow" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Patel" | | discoveredNames | | Harlow | 12 | | Quinn | 3 | | Tube | 1 | | Camden | 1 | | Sadie | 1 | | Patel | 9 | | Lombok | 1 | | Shades | 1 | | Supernatural | 1 | | Andrew | 1 | | Fishy | 1 | | Metatarsus | 1 | | Artifacts | 1 | | Raised | 1 | | Voice | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Sadie" | | 3 | "Patel" | | 4 | "Shades" | | 5 | "Andrew" | | 6 | "Raised" | | 7 | "Voice" |
| | places | | | globalScore | 0.661 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 54 | | glossingSentenceCount | 1 | | matches | | 0 | "seemed impossible yet undeniable" |
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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 | 858 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 83 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 28 | | mean | 30.64 | | std | 16.02 | | cv | 0.523 | | sampleLengths | | 0 | 47 | | 1 | 27 | | 2 | 40 | | 3 | 37 | | 4 | 34 | | 5 | 31 | | 6 | 34 | | 7 | 22 | | 8 | 16 | | 9 | 4 | | 10 | 39 | | 11 | 40 | | 12 | 42 | | 13 | 32 | | 14 | 64 | | 15 | 25 | | 16 | 17 | | 17 | 12 | | 18 | 10 | | 19 | 20 | | 20 | 1 | | 21 | 51 | | 22 | 32 | | 23 | 12 | | 24 | 51 | | 25 | 32 | | 26 | 22 | | 27 | 64 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 75 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 128 | | matches | | |
| 39.59% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 83 | | ratio | 0.036 | | matches | | 0 | "Cold metal meet hers - a brass compass, a sigil-etched face, verdigris patina maring its casing." | | 1 | "She crumpled to the ground, cracking her brow - but her fingers still closed tight around the compass." | | 2 | "Shapes moved in the shadows ahead - silhouettes of people." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 716 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 12 | | adverbRatio | 0.01675977653631285 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.006983240223463687 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 83 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 83 | | mean | 10.34 | | std | 5.69 | | cv | 0.551 | | sampleLengths | | 0 | 15 | | 1 | 12 | | 2 | 9 | | 3 | 11 | | 4 | 6 | | 5 | 16 | | 6 | 5 | | 7 | 17 | | 8 | 18 | | 9 | 5 | | 10 | 19 | | 11 | 8 | | 12 | 10 | | 13 | 18 | | 14 | 16 | | 15 | 17 | | 16 | 14 | | 17 | 13 | | 18 | 2 | | 19 | 1 | | 20 | 9 | | 21 | 3 | | 22 | 6 | | 23 | 10 | | 24 | 6 | | 25 | 6 | | 26 | 8 | | 27 | 8 | | 28 | 4 | | 29 | 12 | | 30 | 8 | | 31 | 14 | | 32 | 2 | | 33 | 3 | | 34 | 11 | | 35 | 8 | | 36 | 9 | | 37 | 12 | | 38 | 6 | | 39 | 16 | | 40 | 2 | | 41 | 13 | | 42 | 5 | | 43 | 5 | | 44 | 9 | | 45 | 18 | | 46 | 19 | | 47 | 10 | | 48 | 8 | | 49 | 17 |
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| 98.80% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.6867469879518072 | | totalSentences | 83 | | uniqueOpeners | 57 | |
| 95.24% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 70 | | matches | | 0 | "Especially one in such...unnatural condition." | | 1 | "Suddenly, an icy breeze gusted." |
| | ratio | 0.029 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 10 | | totalSentences | 70 | | matches | | 0 | "She shook her head, jaw" | | 1 | "It reeked of dark magic." | | 2 | "She puffed out smoke rings," | | 3 | "She knelt down, gloved fingers" | | 4 | "They were Lombok sugarcube dice," | | 5 | "She shuddered, clutching her bomber" | | 6 | "She followed the trail into" | | 7 | "She crumpled to the ground," | | 8 | "They materialized into a subterranean" | | 9 | "she gestured, Raised pointing finger" |
| | ratio | 0.143 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 43 | | totalSentences | 70 | | matches | | 0 | "Detective Harlow Quinn surveyed the" | | 1 | "The dangling light fixtures flickered," | | 2 | "The dank air was thick" | | 3 | "She shook her head, jaw" | | 4 | "This abandoned Tube station beneath" | | 5 | "The victim lay sprawled on" | | 6 | "It reeked of dark magic." | | 7 | "She puffed out smoke rings," | | 8 | "Harlow shot her an annoyed" | | 9 | "She knelt down, gloved fingers" | | 10 | "They were Lombok sugarcube dice," | | 11 | "Spatters of crimson stains led" | | 12 | "Victim's blood trail." | | 13 | "Harlow's instincts screamed to follow" | | 14 | "A sudden gust extinguished Patel's" | | 15 | "She shuddered, clutching her bomber" | | 16 | "Harlow fixed her junior detective" | | 17 | "Patel gulped, nodding jerkily." | | 18 | "The tunnel's floor was slick" | | 19 | "Arcane sigils were scrawled across" |
| | ratio | 0.614 | |
| 71.43% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 70 | | matches | | 0 | "Now this...it seemed impossible yet" |
| | ratio | 0.014 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 32 | | technicalSentenceCount | 1 | | matches | | 0 | "They were Lombok sugarcube dice, engraved with eldritch sigils that made her stomach churn." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 14 | | tagDensity | 0.143 | | leniency | 0.286 | | rawRatio | 0 | | effectiveRatio | 0 | |