| 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 | 1332 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 100.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 54.95% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1332 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "echoed" | | 1 | "navigated" | | 2 | "warmth" | | 3 | "silence" | | 4 | "flickered" | | 5 | "resonated" | | 6 | "weight" | | 7 | "tension" | | 8 | "throbbed" |
| |
| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "hung in the air" | | count | 1 |
| | 1 | | label | "sent a shiver through" | | count | 1 |
|
| | highlights | | 0 | "hung in the air" | | 1 | "sent a jolt through" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 293 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 293 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 293 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 16 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1331 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 0 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 94 | | wordCount | 1331 | | uniqueNames | 10 | | maxNameDensity | 2.18 | | worstName | "Lucien" | | maxWindowNameDensity | 5.5 | | worstWindowName | "You" | | discoveredNames | | Brick | 2 | | Lane | 2 | | Lucien | 29 | | London | 3 | | Marseille | 2 | | Cardiff | 1 | | Avaros | 2 | | Aurora | 2 | | Rory | 26 | | You | 25 |
| | persons | | | places | | 0 | "Brick" | | 1 | "Lane" | | 2 | "London" | | 3 | "Marseille" | | 4 | "Cardiff" |
| | globalScore | 0.411 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 70 | | 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 | 1331 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 293 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 133 | | mean | 10.01 | | std | 9.86 | | cv | 0.985 | | sampleLengths | | 0 | 13 | | 1 | 43 | | 2 | 10 | | 3 | 3 | | 4 | 9 | | 5 | 40 | | 6 | 3 | | 7 | 6 | | 8 | 17 | | 9 | 3 | | 10 | 34 | | 11 | 3 | | 12 | 3 | | 13 | 37 | | 14 | 5 | | 15 | 4 | | 16 | 4 | | 17 | 37 | | 18 | 5 | | 19 | 9 | | 20 | 6 | | 21 | 6 | | 22 | 29 | | 23 | 10 | | 24 | 4 | | 25 | 15 | | 26 | 4 | | 27 | 5 | | 28 | 40 | | 29 | 9 | | 30 | 6 | | 31 | 5 | | 32 | 27 | | 33 | 16 | | 34 | 3 | | 35 | 4 | | 36 | 27 | | 37 | 14 | | 38 | 4 | | 39 | 1 | | 40 | 19 | | 41 | 5 | | 42 | 6 | | 43 | 2 | | 44 | 2 | | 45 | 11 | | 46 | 13 | | 47 | 5 | | 48 | 1 | | 49 | 5 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 293 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 296 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 293 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1332 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 35 | | adverbRatio | 0.026276276276276277 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.003003003003003003 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 293 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 293 | | mean | 4.54 | | std | 2.12 | | cv | 0.466 | | sampleLengths | | 0 | 4 | | 1 | 4 | | 2 | 5 | | 3 | 5 | | 4 | 8 | | 5 | 16 | | 6 | 14 | | 7 | 7 | | 8 | 3 | | 9 | 3 | | 10 | 9 | | 11 | 3 | | 12 | 4 | | 13 | 11 | | 14 | 10 | | 15 | 12 | | 16 | 3 | | 17 | 4 | | 18 | 2 | | 19 | 4 | | 20 | 7 | | 21 | 6 | | 22 | 3 | | 23 | 3 | | 24 | 4 | | 25 | 4 | | 26 | 7 | | 27 | 8 | | 28 | 2 | | 29 | 6 | | 30 | 3 | | 31 | 3 | | 32 | 11 | | 33 | 4 | | 34 | 4 | | 35 | 6 | | 36 | 7 | | 37 | 5 | | 38 | 5 | | 39 | 4 | | 40 | 4 | | 41 | 4 | | 42 | 5 | | 43 | 7 | | 44 | 5 | | 45 | 5 | | 46 | 6 | | 47 | 5 | | 48 | 5 | | 49 | 5 |
| |
| 40.10% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 29 | | diversityRatio | 0.2696245733788396 | | totalSentences | 293 | | uniqueOpeners | 79 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 8 | | totalSentences | 256 | | matches | | 0 | "Sometimes it wears a neighbour's" | | 1 | "Then tell me what hunts" | | 2 | "Away from Brick Lane." | | 3 | "Away from the scrolls." | | 4 | "Away from the past." | | 5 | "Nowhere is safe." | | 6 | "Then lock the door." | | 7 | "Sometimes I remove them." |
| | ratio | 0.031 | |
| 49.69% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 109 | | totalSentences | 256 | | matches | | 0 | "Her knuckles whitened." | | 1 | "You found me." | | 2 | "It clashed with the scent" | | 3 | "He wiped his shoes on" | | 4 | "He looked down at the" | | 5 | "He stays fed." | | 6 | "He surveyed the room." | | 7 | "You live in a archive." | | 8 | "I am staying here." | | 9 | "She locked the top bolt." | | 10 | "She turned to face him." | | 11 | "You left Marseille without a" | | 12 | "I left to keep you" | | 13 | "She moved a stack of" | | 14 | "Her left wrist brushed the" | | 15 | "You do not get to" | | 16 | "She gripped the edge of" | | 17 | "He is in prison." | | 18 | "He navigated the clutter with" | | 19 | "He stopped inches from her." |
| | ratio | 0.426 | |
| 16.64% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 227 | | totalSentences | 256 | | matches | | 0 | "Metal groaned against metal." | | 1 | "Rory pulled the door open." | | 2 | "Lucien stood on the landing." | | 3 | "Water dripped from the brim" | | 4 | "The ivory handle of his" | | 5 | "Rory kept her hand on" | | 6 | "Her knuckles whitened." | | 7 | "You found me." | | 8 | "London remains small when one" | | 9 | "Lucien stepped forward." | | 10 | "Rory did not move." | | 11 | "The space between them shrunk" | | 12 | "The smell of ozone and" | | 13 | "It clashed with the scent" | | 14 | "Eva expects guests." | | 15 | "Eva expects delivery drivers." | | 16 | "Lucien tilted his head." | | 17 | "The amber eye caught the" | | 18 | "The black pupil swallowed the" | | 19 | "Rory stepped back." |
| | ratio | 0.887 | |
| 19.53% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 256 | | matches | | | ratio | 0.004 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 9 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 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 | |