| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 24 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 53 | | tagDensity | 0.453 | | leniency | 0.906 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1546 | | 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) | |
| 67.66% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1546 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "weight" | | 1 | "flicked" | | 2 | "pulsed" | | 3 | "etched" | | 4 | "trembled" | | 5 | "navigate" | | 6 | "scanned" | | 7 | "chaotic" | | 8 | "vibrated" | | 9 | "footsteps" |
| |
| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
| | 1 | | label | "clenched jaw/fists" | | count | 1 |
|
| | highlights | | 0 | "eyes narrowed" | | 1 | "clenched right fist" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 124 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 124 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 153 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 67 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1547 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 19 | | unquotedAttributions | 0 | | matches | (empty) | |
| 36.25% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 51 | | wordCount | 1011 | | uniqueNames | 11 | | maxNameDensity | 2.27 | | worstName | "Quinn" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Quinn" | | discoveredNames | | Tube | 1 | | Camden | 1 | | South | 1 | | Kentish | 1 | | Veil | 2 | | Market | 3 | | Tuesday | 1 | | Eva | 16 | | Empty | 1 | | Shade | 1 | | Quinn | 23 |
| | persons | | 0 | "Camden" | | 1 | "Kentish" | | 2 | "Market" | | 3 | "Eva" | | 4 | "Quinn" |
| | places | (empty) | | globalScore | 0.363 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 78 | | 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 | 1547 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 153 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 65 | | mean | 23.8 | | std | 18.68 | | cv | 0.785 | | sampleLengths | | 0 | 4 | | 1 | 23 | | 2 | 15 | | 3 | 6 | | 4 | 33 | | 5 | 64 | | 6 | 54 | | 7 | 8 | | 8 | 51 | | 9 | 3 | | 10 | 1 | | 11 | 28 | | 12 | 12 | | 13 | 14 | | 14 | 25 | | 15 | 15 | | 16 | 30 | | 17 | 51 | | 18 | 78 | | 19 | 28 | | 20 | 2 | | 21 | 65 | | 22 | 20 | | 23 | 26 | | 24 | 18 | | 25 | 9 | | 26 | 18 | | 27 | 14 | | 28 | 15 | | 29 | 86 | | 30 | 4 | | 31 | 23 | | 32 | 24 | | 33 | 19 | | 34 | 6 | | 35 | 29 | | 36 | 28 | | 37 | 33 | | 38 | 30 | | 39 | 9 | | 40 | 9 | | 41 | 60 | | 42 | 8 | | 43 | 20 | | 44 | 10 | | 45 | 25 | | 46 | 6 | | 47 | 23 | | 48 | 53 | | 49 | 15 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 124 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 178 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 153 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1017 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small, dog-eared notebook," |
| | adverbCount | 20 | | adverbRatio | 0.01966568338249754 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.0029498525073746312 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 153 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 153 | | mean | 10.11 | | std | 7.86 | | cv | 0.777 | | sampleLengths | | 0 | 4 | | 1 | 6 | | 2 | 17 | | 3 | 8 | | 4 | 7 | | 5 | 6 | | 6 | 10 | | 7 | 15 | | 8 | 8 | | 9 | 9 | | 10 | 12 | | 11 | 6 | | 12 | 14 | | 13 | 23 | | 14 | 15 | | 15 | 7 | | 16 | 7 | | 17 | 8 | | 18 | 5 | | 19 | 12 | | 20 | 8 | | 21 | 5 | | 22 | 16 | | 23 | 16 | | 24 | 14 | | 25 | 3 | | 26 | 1 | | 27 | 11 | | 28 | 9 | | 29 | 8 | | 30 | 5 | | 31 | 7 | | 32 | 14 | | 33 | 11 | | 34 | 14 | | 35 | 6 | | 36 | 9 | | 37 | 5 | | 38 | 7 | | 39 | 18 | | 40 | 3 | | 41 | 24 | | 42 | 6 | | 43 | 4 | | 44 | 14 | | 45 | 7 | | 46 | 28 | | 47 | 11 | | 48 | 6 | | 49 | 8 |
| |
| 50.98% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 17 | | diversityRatio | 0.37254901960784315 | | totalSentences | 153 | | uniqueOpeners | 57 | |
| 65.36% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 102 | | matches | | 0 | "Just under the jaw, two" | | 1 | "Then a click." |
| | ratio | 0.02 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 28 | | totalSentences | 102 | | matches | | 0 | "Her fingers twitched a centimetre" | | 1 | "Her worn leather watch on" | | 2 | "His eyes stared at the" | | 3 | "His right hand clutched a" | | 4 | "His left hand lay open." | | 5 | "She tucked a curl of" | | 6 | "Her worn leather satchel full" | | 7 | "Her closely cropped salt-and-pepper hair" | | 8 | "Her green eyes flicked over" | | 9 | "She kept her hands tucked" | | 10 | "She nodded at his clenched" | | 11 | "She gestured down the platform" | | 12 | "It was a small brass" | | 13 | "It trembled, then dragged itself" | | 14 | "It points toward the nearest" | | 15 | "She tucked hair behind her" | | 16 | "Her freckled complexion paled under" | | 17 | "She pointed to the canvas" | | 18 | "She pointed the tweezers at" | | 19 | "She moved the tweezers to" |
| | ratio | 0.275 | |
| 38.43% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 86 | | totalSentences | 102 | | matches | | 0 | "Eva's hand hovered over the" | | 1 | "Her fingers twitched a centimetre" | | 2 | "Quinn caught her wrist before" | | 3 | "The skin under her grip" | | 4 | "Quinn released her and crouched" | | 5 | "Her worn leather watch on" | | 6 | "The abandoned Tube station beneath" | | 7 | "The official maps called it" | | 8 | "The Veil Market called it" | | 9 | "The place stank of damp" | | 10 | "A single string of caged" | | 11 | "The body lay on the" | | 12 | "His eyes stared at the" | | 13 | "His right hand clutched a" | | 14 | "His left hand lay open." | | 15 | "Quinn pulled on nitrile gloves" | | 16 | "She tucked a curl of" | | 17 | "Her worn leather satchel full" | | 18 | "Quinn tilted her head, her" | | 19 | "Her closely cropped salt-and-pepper hair" |
| | ratio | 0.843 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 102 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 36 | | technicalSentenceCount | 1 | | matches | | 0 | "It was a small brass compass with a patina of verdigris around the edges, its face etched with protective sigils that caught the light like fine scratches." |
| |
| 41.67% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 24 | | uselessAdditionCount | 4 | | matches | | 0 | "Quinn tilted, her sharp jaw tight" | | 1 | "She pointed, its buckle still done" | | 2 | "Quinn stood, her bearing all military precision as she scanned the platform" | | 3 | "she said, her voice thin" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 15 | | fancyCount | 2 | | fancyTags | | 0 | "Eva whispered (whisper)" | | 1 | "she whispered (whisper)" |
| | dialogueSentences | 53 | | tagDensity | 0.283 | | leniency | 0.566 | | rawRatio | 0.133 | | effectiveRatio | 0.075 | |