| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 56 | | tagDensity | 0.268 | | leniency | 0.536 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1590 | | 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) | |
| 68.55% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1590 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "fractured" | | 1 | "rhythmic" | | 2 | "scanning" | | 3 | "lilt" | | 4 | "calculate" | | 5 | "traced" | | 6 | "silence" | | 7 | "dancing" | | 8 | "weight" | | 9 | "flicked" |
| |
| 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 | 68 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 68 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 109 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 47 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 6 | | totalWords | 1589 | | ratio | 0.004 | | matches | | 0 | "Vaughan & Sterling, Commercial Litigation, Bristol." |
| |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 16.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 62 | | wordCount | 961 | | uniqueNames | 19 | | maxNameDensity | 2.19 | | worstName | "Eva" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Eva" | | discoveredNames | | Soho | 1 | | Silas | 7 | | Tuesday | 1 | | Rory | 17 | | Golden | 1 | | Empress | 1 | | Fitzrovia | 1 | | Welsh | 2 | | South | 1 | | Wales | 1 | | Cathays | 1 | | Roath | 1 | | Eva | 21 | | Flora | 1 | | Street | 1 | | Sterling | 1 | | Commercial | 1 | | Litigation | 1 | | English | 1 |
| | persons | | 0 | "Silas" | | 1 | "Rory" | | 2 | "Eva" | | 3 | "English" |
| | places | | 0 | "Soho" | | 1 | "Fitzrovia" | | 2 | "South" | | 3 | "Wales" | | 4 | "Flora" | | 5 | "Street" |
| | globalScore | 0.407 | | windowScore | 0.167 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 59 | | 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 | 1589 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 109 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 69 | | mean | 23.03 | | std | 19.64 | | cv | 0.853 | | sampleLengths | | 0 | 47 | | 1 | 52 | | 2 | 46 | | 3 | 12 | | 4 | 26 | | 5 | 82 | | 6 | 6 | | 7 | 18 | | 8 | 13 | | 9 | 1 | | 10 | 27 | | 11 | 1 | | 12 | 62 | | 13 | 25 | | 14 | 42 | | 15 | 3 | | 16 | 3 | | 17 | 60 | | 18 | 20 | | 19 | 27 | | 20 | 15 | | 21 | 19 | | 22 | 5 | | 23 | 13 | | 24 | 11 | | 25 | 43 | | 26 | 14 | | 27 | 45 | | 28 | 14 | | 29 | 51 | | 30 | 7 | | 31 | 29 | | 32 | 8 | | 33 | 30 | | 34 | 22 | | 35 | 34 | | 36 | 4 | | 37 | 38 | | 38 | 7 | | 39 | 68 | | 40 | 6 | | 41 | 6 | | 42 | 24 | | 43 | 3 | | 44 | 14 | | 45 | 47 | | 46 | 4 | | 47 | 13 | | 48 | 1 | | 49 | 71 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 68 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 164 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 109 | | ratio | 0.009 | | matches | | 0 | "A perfume followed her—something dry and architectural, cedar and iris, entirely foreign to the damp chip-shop grease and cheap body spray of their shared youth." |
| |
| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 970 | | adjectiveStacks | 2 | | stackExamples | | 0 | "stale stout, damp wool," | | 1 | "cold, petrol-choked air" |
| | adverbCount | 17 | | adverbRatio | 0.01752577319587629 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.005154639175257732 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 109 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 109 | | mean | 14.58 | | std | 10.01 | | cv | 0.687 | | sampleLengths | | 0 | 25 | | 1 | 22 | | 2 | 21 | | 3 | 13 | | 4 | 18 | | 5 | 26 | | 6 | 20 | | 7 | 12 | | 8 | 22 | | 9 | 4 | | 10 | 13 | | 11 | 26 | | 12 | 24 | | 13 | 19 | | 14 | 6 | | 15 | 4 | | 16 | 14 | | 17 | 7 | | 18 | 6 | | 19 | 1 | | 20 | 27 | | 21 | 1 | | 22 | 19 | | 23 | 18 | | 24 | 25 | | 25 | 25 | | 26 | 9 | | 27 | 16 | | 28 | 7 | | 29 | 10 | | 30 | 3 | | 31 | 3 | | 32 | 13 | | 33 | 47 | | 34 | 20 | | 35 | 8 | | 36 | 19 | | 37 | 7 | | 38 | 8 | | 39 | 19 | | 40 | 5 | | 41 | 13 | | 42 | 11 | | 43 | 30 | | 44 | 13 | | 45 | 14 | | 46 | 12 | | 47 | 11 | | 48 | 22 | | 49 | 8 |
| |
| 40.83% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.28440366972477066 | | totalSentences | 109 | | uniqueOpeners | 31 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 62 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 16 | | totalSentences | 62 | | matches | | 0 | "He set it down, pushed" | | 1 | "Her boots were still soaked" | | 2 | "She wore a tailored wool" | | 3 | "Her dark hair, once a" | | 4 | "She turned, scanning the low-timbered" | | 5 | "Her eyes hit Rory and" | | 6 | "Her fingers curled into the" | | 7 | "She stopped two stools away," | | 8 | "Her manicured nails were cut" | | 9 | "He placed a fresh coaster" | | 10 | "He withdrew to the far" | | 11 | "Her voice dropped an octave," | | 12 | "She caught the motion, pressed" | | 13 | "She looked back at Rory," | | 14 | "She picked up her wet" | | 15 | "She paused, looking down at" |
| | ratio | 0.258 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 58 | | totalSentences | 62 | | matches | | 0 | "Rain smeared the glass of" | | 1 | "The silver signet on his" | | 2 | "He set it down, pushed" | | 3 | "Rory rested her chin on" | | 4 | "Her boots were still soaked" | | 5 | "The brass bell over the" | | 6 | "A blast of cold, petrol-choked" | | 7 | "Silas paused, rag suspended." | | 8 | "A woman stood on the" | | 9 | "She wore a tailored wool" | | 10 | "Her dark hair, once a" | | 11 | "She turned, scanning the low-timbered" | | 12 | "Her eyes hit Rory and" | | 13 | "Rory did not move." | | 14 | "Her fingers curled into the" | | 15 | "Eva dropped the latch on" | | 16 | "The mechanism snapped like dry" | | 17 | "The voice carried the old" | | 18 | "Eva crossed the floorboards, her" | | 19 | "She stopped two stools away," |
| | ratio | 0.935 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 62 | | matches | (empty) | | ratio | 0 | |
| 90.59% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 41 | | technicalSentenceCount | 3 | | matches | | 0 | "Her dark hair, once a wild tangle that resisted every plastic clip in South Wales, hung in a sleek, ironed sheet past her collarbones." | | 1 | "The slight, nervous girl who used to spill coffee over mock-trial briefs had been starved out, replaced by this lean, severe creature who looked at a scarred ba…" | | 2 | "Eva looked sideways, her bright blue eyes searching Rory's face, digging beneath the sharp line of her shoulder-length hair to the raw bone beneath." |
| |
| 91.67% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 1 | | matches | | 0 | "Rory lied, her throat tightening until the words sounded dry" |
| |
| 78.57% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 4 | | fancyTags | | 0 | "Rory murmured (murmur)" | | 1 | "Rory acknowledged (acknowledge)" | | 2 | "Rory lied (lie)" | | 3 | "Eva whispered (whisper)" |
| | dialogueSentences | 56 | | tagDensity | 0.161 | | leniency | 0.321 | | rawRatio | 0.444 | | effectiveRatio | 0.143 | |