| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 87.93% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1657 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "slowly" | | 1 | "slightly" | | 2 | "carefully" |
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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) | |
| 36.63% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1657 | | totalAiIsms | 21 | | found | | | highlights | | 0 | "chill" | | 1 | "familiar" | | 2 | "scanned" | | 3 | "weight" | | 4 | "unspoken" | | 5 | "navigate" | | 6 | "shattered" | | 7 | "silence" | | 8 | "implication" | | 9 | "traced" | | 10 | "throbbed" | | 11 | "echo" |
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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 | 199 | | matches | | |
| 92.61% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 4 | | hedgeCount | 3 | | narrationSentences | 199 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 199 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1657 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 50 | | wordCount | 1657 | | uniqueNames | 11 | | maxNameDensity | 1.39 | | worstName | "You" | | maxWindowNameDensity | 3 | | worstWindowName | "You" | | discoveredNames | | Soho | 2 | | Raven | 1 | | Nest | 1 | | Tuesday | 1 | | London | 1 | | Evan | 3 | | Eva | 2 | | Silas | 8 | | Aurora | 5 | | You | 23 | | Survival | 3 |
| | persons | | 0 | "Evan" | | 1 | "Eva" | | 2 | "Silas" | | 3 | "Aurora" | | 4 | "You" | | 5 | "Survival" |
| | places | | | globalScore | 0.806 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 134 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1657 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 199 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 49 | | mean | 33.82 | | std | 26.68 | | cv | 0.789 | | sampleLengths | | 0 | 108 | | 1 | 97 | | 2 | 7 | | 3 | 10 | | 4 | 9 | | 5 | 78 | | 6 | 15 | | 7 | 15 | | 8 | 40 | | 9 | 18 | | 10 | 15 | | 11 | 49 | | 12 | 12 | | 13 | 28 | | 14 | 38 | | 15 | 21 | | 16 | 35 | | 17 | 49 | | 18 | 10 | | 19 | 51 | | 20 | 26 | | 21 | 20 | | 22 | 46 | | 23 | 55 | | 24 | 4 | | 25 | 35 | | 26 | 27 | | 27 | 8 | | 28 | 54 | | 29 | 42 | | 30 | 6 | | 31 | 47 | | 32 | 32 | | 33 | 7 | | 34 | 34 | | 35 | 48 | | 36 | 22 | | 37 | 37 | | 38 | 23 | | 39 | 39 | | 40 | 28 | | 41 | 12 | | 42 | 21 | | 43 | 27 | | 44 | 32 | | 45 | 40 | | 46 | 5 | | 47 | 34 | | 48 | 141 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 199 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 311 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 199 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1662 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 44 | | adverbRatio | 0.026474127557160047 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.006016847172081829 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 199 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 199 | | mean | 8.33 | | std | 4.83 | | cv | 0.581 | | sampleLengths | | 0 | 21 | | 1 | 22 | | 2 | 15 | | 3 | 15 | | 4 | 17 | | 5 | 18 | | 6 | 4 | | 7 | 7 | | 8 | 16 | | 9 | 19 | | 10 | 14 | | 11 | 19 | | 12 | 3 | | 13 | 6 | | 14 | 3 | | 15 | 6 | | 16 | 7 | | 17 | 10 | | 18 | 5 | | 19 | 4 | | 20 | 6 | | 21 | 6 | | 22 | 27 | | 23 | 8 | | 24 | 31 | | 25 | 10 | | 26 | 5 | | 27 | 3 | | 28 | 8 | | 29 | 4 | | 30 | 5 | | 31 | 6 | | 32 | 10 | | 33 | 6 | | 34 | 13 | | 35 | 10 | | 36 | 8 | | 37 | 10 | | 38 | 5 | | 39 | 4 | | 40 | 12 | | 41 | 24 | | 42 | 9 | | 43 | 5 | | 44 | 7 | | 45 | 8 | | 46 | 7 | | 47 | 6 | | 48 | 3 | | 49 | 4 |
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| 25.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 63 | | diversityRatio | 0.1507537688442211 | | totalSentences | 199 | | uniqueOpeners | 30 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 198 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 112 | | totalSentences | 198 | | matches | | 0 | "She stepped into The Raven’s" | | 1 | "She scanned the bar." | | 2 | "His posture remained rigid, shoulders" | | 3 | "He wore a silver signet" | | 4 | "He looked up." | | 5 | "His hazel eyes locked onto" | | 6 | "You look like you just" | | 7 | "I forgot an umbrella." | | 8 | "She stepped further into the" | | 9 | "She kept her hands tucked" | | 10 | "I haven’t seen you inside" | | 11 | "You live above the roof." | | 12 | "I deliver food." | | 13 | "I drop the bags at" | | 14 | "I don’t come upstairs." | | 15 | "He walked around the bar," | | 16 | "He stopped a few feet" | | 17 | "You used to complain about" | | 18 | "You said the iron frames" | | 19 | "I sleep through it now." |
| | ratio | 0.566 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 189 | | totalSentences | 198 | | matches | | 0 | "The green neon sign buzzed" | | 1 | "Aurora pushed the heavy oak" | | 2 | "She stepped into The Raven’s" | | 3 | "The air inside carried the" | | 4 | "Maps covered the walls, layered" | | 5 | "She scanned the bar." | | 6 | "His posture remained rigid, shoulders" | | 7 | "He wore a silver signet" | | 8 | "Aurora stopped walking." | | 9 | "The glass in his hand" | | 10 | "He looked up." | | 11 | "His hazel eyes locked onto" | | 12 | "The polishing cloth dropped to" | | 13 | "You look like you just" | | 14 | "The rain caught me outside." | | 15 | "I forgot an umbrella." | | 16 | "She stepped further into the" | | 17 | "The floorboards groaned under her" | | 18 | "She kept her hands tucked" | | 19 | "Years had carved sharper lines" |
| | ratio | 0.955 | |
| 50.51% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 198 | | matches | | 0 | "Either way, the room stays" | | 1 | "Because you stopped waiting for" |
| | ratio | 0.01 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 63 | | technicalSentenceCount | 1 | | matches | | 0 | "He rubbed it against his palm, a repetitive motion that grounded him." |
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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 | |