| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1685 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 67.36% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1685 | | totalAiIsms | 11 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | word | "carried the weight" | | count | 1 |
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| | highlights | | 0 | "traced" | | 1 | "warmth" | | 2 | "scanned" | | 3 | "measured" | | 4 | "silence" | | 5 | "echoing" | | 6 | "crystal" | | 7 | "fractured" | | 8 | "carried the weight" |
| |
| 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 | 229 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 4 | | hedgeCount | 0 | | narrationSentences | 229 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 229 | | 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 | 1685 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 1 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 66 | | wordCount | 1685 | | uniqueNames | 18 | | maxNameDensity | 1.07 | | worstName | "Rory" | | maxWindowNameDensity | 3 | | worstWindowName | "You" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Soho | 1 | | Rory | 18 | | Cardiff | 1 | | London | 2 | | Tuesday | 1 | | Bute | 1 | | Park | 1 | | Evan | 1 | | Shoreditch | 1 | | Covent | 1 | | Garden | 1 | | Penarth | 1 | | Sundays | 1 | | Eva | 11 | | Silas | 5 | | You | 17 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Rory" | | 3 | "Evan" | | 4 | "Eva" | | 5 | "Silas" | | 6 | "You" |
| | places | | 0 | "Soho" | | 1 | "Cardiff" | | 2 | "London" | | 3 | "Bute" | | 4 | "Park" | | 5 | "Covent" | | 6 | "Garden" | | 7 | "Penarth" |
| | globalScore | 0.966 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 132 | | 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 | 1685 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 229 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 51 | | mean | 33.04 | | std | 26.21 | | cv | 0.793 | | sampleLengths | | 0 | 134 | | 1 | 76 | | 2 | 14 | | 3 | 31 | | 4 | 5 | | 5 | 14 | | 6 | 4 | | 7 | 28 | | 8 | 25 | | 9 | 16 | | 10 | 8 | | 11 | 36 | | 12 | 17 | | 13 | 6 | | 14 | 69 | | 15 | 27 | | 16 | 3 | | 17 | 21 | | 18 | 61 | | 19 | 70 | | 20 | 5 | | 21 | 75 | | 22 | 16 | | 23 | 3 | | 24 | 44 | | 25 | 34 | | 26 | 18 | | 27 | 46 | | 28 | 18 | | 29 | 38 | | 30 | 27 | | 31 | 9 | | 32 | 107 | | 33 | 27 | | 34 | 48 | | 35 | 34 | | 36 | 55 | | 37 | 40 | | 38 | 3 | | 39 | 12 | | 40 | 45 | | 41 | 44 | | 42 | 23 | | 43 | 29 | | 44 | 33 | | 45 | 40 | | 46 | 34 | | 47 | 4 | | 48 | 31 | | 49 | 35 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 229 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 340 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 229 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1688 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 30 | | adverbRatio | 0.017772511848341232 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.002962085308056872 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 229 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 229 | | mean | 7.36 | | std | 4.67 | | cv | 0.634 | | sampleLengths | | 0 | 20 | | 1 | 16 | | 2 | 12 | | 3 | 10 | | 4 | 13 | | 5 | 14 | | 6 | 16 | | 7 | 12 | | 8 | 21 | | 9 | 6 | | 10 | 15 | | 11 | 3 | | 12 | 13 | | 13 | 15 | | 14 | 11 | | 15 | 4 | | 16 | 4 | | 17 | 5 | | 18 | 2 | | 19 | 6 | | 20 | 6 | | 21 | 4 | | 22 | 9 | | 23 | 8 | | 24 | 10 | | 25 | 5 | | 26 | 2 | | 27 | 7 | | 28 | 5 | | 29 | 4 | | 30 | 5 | | 31 | 6 | | 32 | 3 | | 33 | 14 | | 34 | 7 | | 35 | 5 | | 36 | 7 | | 37 | 6 | | 38 | 3 | | 39 | 11 | | 40 | 2 | | 41 | 1 | | 42 | 1 | | 43 | 6 | | 44 | 2 | | 45 | 7 | | 46 | 9 | | 47 | 18 | | 48 | 9 | | 49 | 8 |
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| 25.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 61 | | diversityRatio | 0.16593886462882096 | | totalSentences | 229 | | uniqueOpeners | 38 | |
| 15.50% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 215 | | matches | | 0 | "Just pictures of bridges and" |
| | ratio | 0.005 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 122 | | totalSentences | 215 | | matches | | 0 | "He polished a tumbler with" | | 1 | "Her hair, once a wild" | | 2 | "Her posture held a rigid" | | 3 | "She scanned the booths." | | 4 | "Her eyes caught Rory’s." | | 5 | "She left them where they" | | 6 | "Her heels clicked against the" | | 7 | "She stopped at the edge" | | 8 | "Her fingers tightened around the" | | 9 | "You kept the same corner." | | 10 | "She pushed the glass aside." | | 11 | "You cut your hair." | | 12 | "She slid into the opposite" | | 13 | "She placed the satchel on" | | 14 | "You still hide in the" | | 15 | "He set a coaster down," | | 16 | "His ring tapped against a" | | 17 | "He poured, the amber liquid" | | 18 | "He set the glass down" | | 19 | "She rubbed her thumb over" |
| | ratio | 0.567 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 202 | | totalSentences | 215 | | matches | | 0 | "The green neon sign bled" | | 1 | "Rain lashed against the glass," | | 2 | "Rory traced the crescent scar" | | 3 | "The leather seat of the" | | 4 | "A stack of delivery receipts" | | 5 | "Silas moved behind the bar," | | 6 | "He polished a tumbler with" | | 7 | "The room held the smell" | | 8 | "The bell above the door" | | 9 | "A draft cut through the" | | 10 | "Rory glanced up." | | 11 | "A woman stood on the" | | 12 | "Her hair, once a wild" | | 13 | "Her posture held a rigid" | | 14 | "She scanned the booths." | | 15 | "Her eyes caught Rory’s." | | 16 | "The air between them tightened." | | 17 | "The receipts slipped to the" | | 18 | "She left them where they" | | 19 | "The woman stepped forward." |
| | ratio | 0.94 | |
| 23.26% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 215 | | matches | | 0 | "Now I just bill hours." |
| | ratio | 0.005 | |
| 92.73% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 57 | | technicalSentenceCount | 4 | | matches | | 0 | "I draft contracts for property developers who tear down council estates." | | 1 | "I find you sitting in a dim bar, wearing a delivery jacket, looking exactly like the girl who left." | | 2 | "I just sign my name on documents that evict families." | | 3 | "The green light washed over Eva’s face, carving shadows under her eyes, highlighting the fine lines that had not been there three years ago." |
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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 | |