| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 1 | | adverbTags | | 0 | "He stepped aside [aside]" |
| | dialogueSentences | 36 | | tagDensity | 0.222 | | leniency | 0.444 | | rawRatio | 0.125 | | effectiveRatio | 0.056 | |
| 96.20% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1316 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 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) | |
| 58.21% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1316 | | totalAiIsms | 11 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | word | "carried the weight" | | count | 1 |
| | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | |
| | highlights | | 0 | "echo" | | 1 | "loomed" | | 2 | "trembled" | | 3 | "silk" | | 4 | "carried the weight" | | 5 | "etched" | | 6 | "traced" | | 7 | "silence" | | 8 | "vibrated" | | 9 | "flickered" | | 10 | "echoed" |
| |
| 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 | 167 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 1 | | narrationSentences | 167 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 195 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1316 | | 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 | 50 | | wordCount | 1035 | | uniqueNames | 17 | | maxNameDensity | 1.45 | | worstName | "Harlow" | | maxWindowNameDensity | 3 | | worstWindowName | "Harlow" | | discoveredNames | | Quinn | 1 | | Camden | 3 | | Town | 1 | | Friday | 1 | | Morris | 3 | | Victorian | 1 | | Hale | 6 | | Boots | 1 | | Kowalski | 1 | | Eva | 11 | | Savile | 1 | | Row | 1 | | Veil | 1 | | Compass | 1 | | Ordnance | 1 | | Survey | 1 | | Harlow | 15 |
| | persons | | 0 | "Quinn" | | 1 | "Morris" | | 2 | "Victorian" | | 3 | "Hale" | | 4 | "Boots" | | 5 | "Kowalski" | | 6 | "Eva" | | 7 | "Compass" | | 8 | "Survey" | | 9 | "Harlow" |
| | places | | | globalScore | 0.775 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 82 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.76 | | wordCount | 1316 | | matches | | 0 | "not into the tunnel, but at the body itself" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 195 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 49 | | mean | 26.86 | | std | 21.67 | | cv | 0.807 | | sampleLengths | | 0 | 82 | | 1 | 65 | | 2 | 22 | | 3 | 46 | | 4 | 46 | | 5 | 13 | | 6 | 34 | | 7 | 59 | | 8 | 52 | | 9 | 51 | | 10 | 13 | | 11 | 9 | | 12 | 11 | | 13 | 22 | | 14 | 3 | | 15 | 4 | | 16 | 44 | | 17 | 7 | | 18 | 1 | | 19 | 41 | | 20 | 22 | | 21 | 72 | | 22 | 67 | | 23 | 14 | | 24 | 2 | | 25 | 2 | | 26 | 24 | | 27 | 12 | | 28 | 2 | | 29 | 6 | | 30 | 69 | | 31 | 28 | | 32 | 11 | | 33 | 1 | | 34 | 18 | | 35 | 40 | | 36 | 16 | | 37 | 49 | | 38 | 27 | | 39 | 22 | | 40 | 18 | | 41 | 22 | | 42 | 37 | | 43 | 3 | | 44 | 5 | | 45 | 30 | | 46 | 4 | | 47 | 37 | | 48 | 31 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 167 | | matches | | 0 | "been placed" | | 1 | "been manufactured" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 183 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 1 | | flaggedSentences | 1 | | totalSentences | 195 | | ratio | 0.005 | | matches | | 0 | "The leather strap on her left wrist had cracked at the buckle three years ago; she never repaired it." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1044 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 18 | | adverbRatio | 0.017241379310344827 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.0019157088122605363 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 195 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 195 | | mean | 6.75 | | std | 4.95 | | cv | 0.734 | | sampleLengths | | 0 | 13 | | 1 | 7 | | 2 | 15 | | 3 | 7 | | 4 | 4 | | 5 | 19 | | 6 | 4 | | 7 | 11 | | 8 | 2 | | 9 | 4 | | 10 | 11 | | 11 | 9 | | 12 | 12 | | 13 | 9 | | 14 | 1 | | 15 | 9 | | 16 | 4 | | 17 | 2 | | 18 | 4 | | 19 | 4 | | 20 | 3 | | 21 | 15 | | 22 | 3 | | 23 | 7 | | 24 | 13 | | 25 | 2 | | 26 | 2 | | 27 | 3 | | 28 | 7 | | 29 | 2 | | 30 | 1 | | 31 | 6 | | 32 | 7 | | 33 | 12 | | 34 | 6 | | 35 | 17 | | 36 | 4 | | 37 | 13 | | 38 | 8 | | 39 | 10 | | 40 | 11 | | 41 | 5 | | 42 | 12 | | 43 | 2 | | 44 | 1 | | 45 | 4 | | 46 | 2 | | 47 | 14 | | 48 | 5 | | 49 | 2 |
| |
| 55.04% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.3641025641025641 | | totalSentences | 195 | | uniqueOpeners | 71 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 136 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 35 | | totalSentences | 136 | | matches | | 0 | "Her cropped salt-and-pepper hair caught" | | 1 | "She checked her watch." | | 2 | "Her torch carved a white" | | 3 | "She placed him: Hale." | | 4 | "He stepped aside" | | 5 | "She swept her beam across" | | 6 | "Her fingers hovered above a" | | 7 | "Her leather satchel, swollen with" | | 8 | "His throat had opened in" | | 9 | "It pooled beneath him in" | | 10 | "He loomed at her shoulder," | | 11 | "Her knees cracked." | | 12 | "She ignored the sound." | | 13 | "Her round glasses slipped down" | | 14 | "She pushed them up with" | | 15 | "She swept the beam back" | | 16 | "He had been placed with" | | 17 | "She reached into her coat" | | 18 | "Her fingers closed around cold" | | 19 | "She flipped the lid." |
| | ratio | 0.257 | |
| 55.59% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 110 | | totalSentences | 136 | | matches | | 0 | "Harlow Quinn ducked beneath the" | | 1 | "Her cropped salt-and-pepper hair caught" | | 2 | "The Friday market above banged" | | 3 | "She checked her watch." | | 4 | "The leather strap on her" | | 5 | "The same numbers stamped on" | | 6 | "The spiral stairwell tightened." | | 7 | "Soot greased the Victorian tiles" | | 8 | "Her torch carved a white" | | 9 | "Water dripped ahead, each drop" | | 10 | "A uniformed constable blocked the" | | 11 | "The press on his tunic" | | 12 | "She placed him: Hale." | | 13 | "He stepped aside" | | 14 | "Boots scraped stone." | | 15 | "Harlow said nothing." | | 16 | "She swept her beam across" | | 17 | "The air carried rust and" | | 18 | "The back of her throat" | | 19 | "A figure knelt by the" |
| | ratio | 0.809 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 136 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 34 | | technicalSentenceCount | 2 | | matches | | 0 | "Entry requirement to a market that moved beneath Camden's feet, that dealt in enchanted goods and stolen secrets." | | 1 | "Above, Hale's radio crackled with static that shaped itself into half-formed words." |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | 0 | "Eva whispered (whisper)" |
| | dialogueSentences | 36 | | tagDensity | 0.056 | | leniency | 0.111 | | rawRatio | 0.5 | | effectiveRatio | 0.056 | |