| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 1 | | adverbTags | | 0 | "Quinn said instantly [instantly]" |
| | dialogueSentences | 26 | | tagDensity | 0.577 | | leniency | 1 | | rawRatio | 0.067 | | effectiveRatio | 0.067 | |
| 88.70% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1327 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "completely" | | 1 | "slowly" | | 2 | "slightly" |
| |
| 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) | |
| 77.39% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1327 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "scanning" | | 1 | "pulse" | | 2 | "quickened" | | 3 | "intricate" | | 4 | "etched" | | 5 | "echoing" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
|
| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 61 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 61 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 71 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 79 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1325 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 82.04% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 38 | | wordCount | 1030 | | uniqueNames | 18 | | maxNameDensity | 1.36 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 14 | | Camden | 1 | | Northern | 1 | | Blitz | 1 | | London | 1 | | Underground | 1 | | Victorian | 1 | | Miller | 7 | | Morris | 2 | | East | 1 | | End | 1 | | Thames | 1 | | Brass | 1 | | Well | 1 | | Veil | 1 | | Market | 1 | | Soho | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Underground" | | 3 | "Miller" | | 4 | "Morris" | | 5 | "Brass" |
| | places | | 0 | "Camden" | | 1 | "London" | | 2 | "East" | | 3 | "End" | | 4 | "Thames" | | 5 | "Soho" |
| | globalScore | 0.82 | | windowScore | 0.833 | |
| 95.65% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 46 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like they had been carved by someo" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1325 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 71 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 37 | | mean | 35.81 | | std | 20.99 | | cv | 0.586 | | sampleLengths | | 0 | 62 | | 1 | 11 | | 2 | 50 | | 3 | 71 | | 4 | 51 | | 5 | 32 | | 6 | 34 | | 7 | 26 | | 8 | 27 | | 9 | 77 | | 10 | 43 | | 11 | 56 | | 12 | 20 | | 13 | 6 | | 14 | 62 | | 15 | 6 | | 16 | 8 | | 17 | 63 | | 18 | 30 | | 19 | 76 | | 20 | 6 | | 21 | 15 | | 22 | 60 | | 23 | 21 | | 24 | 21 | | 25 | 48 | | 26 | 35 | | 27 | 11 | | 28 | 34 | | 29 | 47 | | 30 | 15 | | 31 | 36 | | 32 | 10 | | 33 | 39 | | 34 | 46 | | 35 | 53 | | 36 | 17 |
| |
| 82.25% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 61 | | matches | | 0 | "were curled" | | 1 | "been swept" | | 2 | "been carved" | | 3 | "was coated" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 162 | | matches | | 0 | "was crumbling" | | 1 | "was spinning" |
| |
| 62.37% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 71 | | ratio | 0.028 | | matches | | 0 | "She cleared the dust from the glass face. The needle inside wasn't pointed north. It was spinning, slowly, erratically, before locking onto a point directly behind her—toward the dark, yawning throat of the train tunnel." | | 1 | "She knew this wasn't an ordinary crime. The bone token, the strange violet dust, the missing wallet but the untouched watch—it was a pattern she had been hunting for three years. It was the mark of the Veil Market." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 563 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 16 | | adverbRatio | 0.028419182948490232 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.015985790408525755 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 71 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 71 | | mean | 18.66 | | std | 14.13 | | cv | 0.757 | | sampleLengths | | 0 | 13 | | 1 | 23 | | 2 | 26 | | 3 | 11 | | 4 | 13 | | 5 | 4 | | 6 | 33 | | 7 | 13 | | 8 | 18 | | 9 | 13 | | 10 | 27 | | 11 | 4 | | 12 | 15 | | 13 | 16 | | 14 | 16 | | 15 | 26 | | 16 | 6 | | 17 | 15 | | 18 | 19 | | 19 | 7 | | 20 | 19 | | 21 | 9 | | 22 | 18 | | 23 | 19 | | 24 | 11 | | 25 | 17 | | 26 | 11 | | 27 | 19 | | 28 | 13 | | 29 | 30 | | 30 | 5 | | 31 | 14 | | 32 | 12 | | 33 | 25 | | 34 | 16 | | 35 | 4 | | 36 | 6 | | 37 | 19 | | 38 | 18 | | 39 | 5 | | 40 | 5 | | 41 | 15 | | 42 | 6 | | 43 | 8 | | 44 | 25 | | 45 | 38 | | 46 | 30 | | 47 | 76 | | 48 | 6 | | 49 | 6 |
| |
| 73.71% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.49295774647887325 | | totalSentences | 71 | | uniqueOpeners | 35 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 56 | | matches | | 0 | "Officially, this was the old" | | 1 | "Unofficially, it was the graveyard" |
| | ratio | 0.036 | |
| 48.57% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 24 | | totalSentences | 56 | | matches | | 0 | "He was a thick-necked man" | | 1 | "He blew into his cupped" | | 2 | "She stopped at the perimeter" | | 3 | "Her salt-and-pepper hair, shaved down" | | 4 | "She adjusted the lapels of" | | 5 | "she said, her voice a" | | 6 | "She gestured toward a small" | | 7 | "She stepped over a puddle" | | 8 | "He wore a heavy tweed" | | 9 | "His hands were curled loose" | | 10 | "She didn't mind the grime" | | 11 | "She reached out, her fingers" | | 12 | "She leaned closer, noting the" | | 13 | "She scraped a tiny speck" | | 14 | "It didn't look like soot." | | 15 | "It didn't look like plaster." | | 16 | "It caught the yellow work" | | 17 | "She stood up, her" | | 18 | "She pulled a flashlight from" | | 19 | "She cleared the dust from" |
| | ratio | 0.429 | |
| 58.21% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 45 | | totalSentences | 56 | | matches | | 0 | "The smell of damp iron" | | 1 | "Detective Harlow Quinn stood at" | | 2 | "Quinn tapped the face of" | | 3 | "The fluorescent work lights rigged" | | 4 | "Inspector Miller said, matching her" | | 5 | "He was a thick-necked man" | | 6 | "He blew into his cupped" | | 7 | "Quinn didn't answer immediately." | | 8 | "She stopped at the perimeter" | | 9 | "Her salt-and-pepper hair, shaved down" | | 10 | "She adjusted the lapels of" | | 11 | "she said, her voice a" | | 12 | "She gestured toward a small" | | 13 | "Miller scoffed, waving a gloved" | | 14 | "She stepped over a puddle" | | 15 | "The victim lay on his" | | 16 | "He wore a heavy tweed" | | 17 | "His hands were curled loose" | | 18 | "Miller said, reading from a" | | 19 | "Quinn knelt by the body." |
| | ratio | 0.804 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 56 | | matches | (empty) | | ratio | 0 | |
| 27.03% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 37 | | technicalSentenceCount | 6 | | matches | | 0 | "He was a thick-necked man who wore his heavy wool coat like a shield against the subterranean draft." | | 1 | "This place felt wrong. It had the same static, hair-raising hum that had hung in the air three years ago, on the night DS Morris had vanished into thin air duri…" | | 2 | "Quinn walked to the edge of the platform, where the brick wall curved into a recessed archway once used for signal equipment. The mortar between the bricks was …" | | 3 | "She pulled a flashlight from her pocket, clicking it on. The beam illuminated a small brass compass resting in the dust." | | 4 | "Six months ago, an informant had whispered the name to her in a smoky pub in Soho. A shifting market that traded in the impossible, accessible only to those wit…" | | 5 | "Quinn walked to the edge of the platform and leaped down onto the tracks, her boots sinking slightly into the black grime. She held the small brass compass flat…" |
| |
| 58.33% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 2 | | matches | | 0 | "she said, her voice a low, gravelly rasp" | | 1 | "Brass rubbing, maybe" |
| |
| 73.08% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 2 | | fancyTags | | 0 | "Miller argued (argue)" | | 1 | "Quinn murmured (murmur)" |
| | dialogueSentences | 26 | | tagDensity | 0.423 | | leniency | 0.846 | | rawRatio | 0.182 | | effectiveRatio | 0.154 | |