| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 97.33% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1871 | | totalAiIsmAdverbs | 1 | | 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) | |
| 57.24% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1871 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "electric" | | 1 | "tracing" | | 2 | "stomach" | | 3 | "aligned" | | 4 | "echoes" | | 5 | "silence" | | 6 | "crystal" | | 7 | "flickered" | | 8 | "pulse" | | 9 | "traced" | | 10 | "chilled" | | 11 | "weight" | | 12 | "unspoken" |
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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 | 335 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 5 | | hedgeCount | 3 | | narrationSentences | 335 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 335 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 24 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1871 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 16.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 61 | | wordCount | 1871 | | uniqueNames | 16 | | maxNameDensity | 1.39 | | worstName | "You" | | maxWindowNameDensity | 4.5 | | worstWindowName | "You" | | discoveredNames | | Soho | 1 | | Prague | 1 | | Rory | 14 | | Cardiff | 3 | | Si | 1 | | Swansea | 1 | | Nest | 1 | | Evan | 1 | | Budapest | 1 | | Tuesday | 1 | | Eva | 1 | | London | 2 | | Dublin | 1 | | Water | 3 | | Silas | 3 | | You | 26 |
| | persons | | 0 | "Rory" | | 1 | "Evan" | | 2 | "Eva" | | 3 | "Water" | | 4 | "Silas" | | 5 | "You" |
| | places | | 0 | "Soho" | | 1 | "Prague" | | 2 | "Cardiff" | | 3 | "Swansea" | | 4 | "Budapest" | | 5 | "London" | | 6 | "Dublin" |
| | globalScore | 0.805 | | windowScore | 0.167 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 133 | | glossingSentenceCount | 1 | | matches | | 0 | "tasted like old paper and regret" |
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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 | 1871 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 335 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 66 | | mean | 28.35 | | std | 21.02 | | cv | 0.741 | | sampleLengths | | 0 | 113 | | 1 | 71 | | 2 | 43 | | 3 | 47 | | 4 | 1 | | 5 | 6 | | 6 | 8 | | 7 | 26 | | 8 | 46 | | 9 | 29 | | 10 | 13 | | 11 | 34 | | 12 | 59 | | 13 | 15 | | 14 | 16 | | 15 | 18 | | 16 | 23 | | 17 | 36 | | 18 | 15 | | 19 | 14 | | 20 | 30 | | 21 | 21 | | 22 | 19 | | 23 | 49 | | 24 | 11 | | 25 | 3 | | 26 | 10 | | 27 | 53 | | 28 | 45 | | 29 | 21 | | 30 | 66 | | 31 | 8 | | 32 | 32 | | 33 | 51 | | 34 | 20 | | 35 | 9 | | 36 | 17 | | 37 | 32 | | 38 | 48 | | 39 | 34 | | 40 | 9 | | 41 | 24 | | 42 | 2 | | 43 | 4 | | 44 | 64 | | 45 | 14 | | 46 | 34 | | 47 | 55 | | 48 | 46 | | 49 | 11 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 335 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 398 | | matches | | 0 | "was protecting" | | 1 | "was following" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 335 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1878 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 46 | | adverbRatio | 0.024494142705005325 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.0026624068157614484 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 335 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 335 | | mean | 5.59 | | std | 3.86 | | cv | 0.69 | | sampleLengths | | 0 | 19 | | 1 | 14 | | 2 | 15 | | 3 | 22 | | 4 | 22 | | 5 | 5 | | 6 | 16 | | 7 | 5 | | 8 | 7 | | 9 | 11 | | 10 | 11 | | 11 | 17 | | 12 | 20 | | 13 | 3 | | 14 | 3 | | 15 | 3 | | 16 | 13 | | 17 | 21 | | 18 | 3 | | 19 | 3 | | 20 | 3 | | 21 | 2 | | 22 | 1 | | 23 | 2 | | 24 | 4 | | 25 | 5 | | 26 | 7 | | 27 | 3 | | 28 | 14 | | 29 | 1 | | 30 | 6 | | 31 | 8 | | 32 | 14 | | 33 | 4 | | 34 | 8 | | 35 | 14 | | 36 | 2 | | 37 | 11 | | 38 | 16 | | 39 | 3 | | 40 | 5 | | 41 | 3 | | 42 | 6 | | 43 | 7 | | 44 | 8 | | 45 | 3 | | 46 | 3 | | 47 | 7 | | 48 | 15 | | 49 | 6 |
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| 31.19% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 63 | | diversityRatio | 0.28955223880597014 | | totalSentences | 335 | | uniqueOpeners | 97 | |
| 46.14% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 289 | | matches | | 0 | "Just a heavy band." | | 1 | "Then he pulled back." | | 2 | "Then we pick up the" | | 3 | "Just for a second." |
| | ratio | 0.014 | |
| 9.62% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 152 | | totalSentences | 289 | | matches | | 0 | "She shook out her damp" | | 1 | "His right hand rested near" | | 2 | "She stopped walking." | | 3 | "She stepped forward." | | 4 | "He lifted his head." | | 5 | "He didn’t smile." | | 6 | "He just watched her stand" | | 7 | "You look taller than I" | | 8 | "Your hair used to fall" | | 9 | "He dragged a napkin across" | | 10 | "She pulled out the chair" | | 11 | "She kept her left hand" | | 12 | "You never called." | | 13 | "He set the napkin down." | | 14 | "I figured you had better" | | 15 | "I had deliveries." | | 16 | "I had classes." | | 17 | "I had a lease I" | | 18 | "He poured two fingers of" | | 19 | "She kept her posture rigid," |
| | ratio | 0.526 | |
| 20.55% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 254 | | totalSentences | 289 | | matches | | 0 | "Rain sheeted over the soot-stained" | | 1 | "Rory pushed through the heavy" | | 2 | "Water dripped from the hem" | | 3 | "The green neon sign overhead" | | 4 | "She shook out her damp" | | 5 | "The brass bell remained silent." | | 6 | "The room smelled of aged" | | 7 | "Back tables vanished into shadow." | | 8 | "A single figure occupied the" | | 9 | "A neatly trimmed beard matched" | | 10 | "The slight limp in his" | | 11 | "His right hand rested near" | | 12 | "Rory’s stomach tightened." | | 13 | "She stopped walking." | | 14 | "Years folded inward." | | 15 | "The maps taped to the" | | 16 | "She stepped forward." | | 17 | "Heels struck hardwood." | | 18 | "The distance closed." | | 19 | "He lifted his head." |
| | ratio | 0.879 | |
| 17.30% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 289 | | matches | | 0 | "Because full seats demand conversation." |
| | ratio | 0.003 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 36 | | technicalSentenceCount | 1 | | matches | | 0 | "Faded black-and-white photographs stared down from the paneling, capturing faces that had long since turned to dust or scattered across oceans." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |