| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 35 | | tagDensity | 0.4 | | leniency | 0.8 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.24% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1329 | | 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) | |
| 58.62% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1329 | | totalAiIsms | 11 | | found | | 0 | | | 1 | | | 2 | | word | "practiced ease" | | count | 1 |
| | 3 | | | 4 | | | 5 | | | 6 | | | 7 | |
| | highlights | | 0 | "echoed" | | 1 | "traced" | | 2 | "practiced ease" | | 3 | "etched" | | 4 | "furrowed" | | 5 | "weight" | | 6 | "warmth" | | 7 | "pulse" |
| |
| 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 | 84 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 84 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 104 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 36 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1321 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 26 | | wordCount | 973 | | uniqueNames | 7 | | maxNameDensity | 1.23 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Quinn | 12 | | Camden | 1 | | Tube | 1 | | Adrian | 1 | | Webb | 5 | | Morris | 3 | | Harlow | 3 |
| | persons | | 0 | "Quinn" | | 1 | "Adrian" | | 2 | "Webb" | | 3 | "Morris" | | 4 | "Harlow" |
| | places | (empty) | | globalScore | 0.883 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 69 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.757 | | wordCount | 1321 | | matches | | 0 | "not pointing north, but toward the far end of the platform" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 104 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 37 | | mean | 35.7 | | std | 26.55 | | cv | 0.744 | | sampleLengths | | 0 | 73 | | 1 | 20 | | 2 | 72 | | 3 | 52 | | 4 | 7 | | 5 | 58 | | 6 | 13 | | 7 | 4 | | 8 | 23 | | 9 | 50 | | 10 | 16 | | 11 | 46 | | 12 | 1 | | 13 | 73 | | 14 | 49 | | 15 | 79 | | 16 | 83 | | 17 | 14 | | 18 | 56 | | 19 | 44 | | 20 | 6 | | 21 | 40 | | 22 | 16 | | 23 | 57 | | 24 | 13 | | 25 | 33 | | 26 | 1 | | 27 | 71 | | 28 | 24 | | 29 | 7 | | 30 | 41 | | 31 | 84 | | 32 | 2 | | 33 | 57 | | 34 | 12 | | 35 | 9 | | 36 | 15 |
| |
| 84.38% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 84 | | matches | | 0 | "been sealed" | | 1 | "been found" | | 2 | "was frozen" | | 3 | "been flung" | | 4 | "been closed" | | 5 | "been left" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 166 | | matches | | 0 | "wasn't adding" | | 1 | "was waiting" |
| |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 104 | | ratio | 0.058 | | matches | | 0 | "Someone had been here recently—a path was clear through the debris that carpeted the floor, swept clean with deliberate purpose." | | 1 | "\"—starts here, not at the platform edge. Whatever happened, it started twenty feet that way.\"" | | 2 | "The fresh scuff marks on the tile—two sets, one dragging slightly." | | 3 | "She recognized the style—arcane, angular, similar to markings she'd seen in case files she couldn't quite remember." | | 4 | "The needle spun wildly, then settled—not pointing north, but toward the far end of the platform." | | 5 | "The official report had called it an accident—a fall, a head injury, a body that was never recovered." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 553 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 15 | | adverbRatio | 0.027124773960216998 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.007233273056057866 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 104 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 104 | | mean | 12.7 | | std | 8.15 | | cv | 0.642 | | sampleLengths | | 0 | 5 | | 1 | 20 | | 2 | 20 | | 3 | 28 | | 4 | 16 | | 5 | 4 | | 6 | 30 | | 7 | 17 | | 8 | 2 | | 9 | 8 | | 10 | 13 | | 11 | 2 | | 12 | 20 | | 13 | 12 | | 14 | 20 | | 15 | 7 | | 16 | 9 | | 17 | 15 | | 18 | 21 | | 19 | 13 | | 20 | 4 | | 21 | 9 | | 22 | 4 | | 23 | 23 | | 24 | 10 | | 25 | 25 | | 26 | 15 | | 27 | 11 | | 28 | 5 | | 29 | 2 | | 30 | 16 | | 31 | 12 | | 32 | 16 | | 33 | 1 | | 34 | 17 | | 35 | 35 | | 36 | 21 | | 37 | 2 | | 38 | 12 | | 39 | 3 | | 40 | 17 | | 41 | 15 | | 42 | 22 | | 43 | 23 | | 44 | 34 | | 45 | 8 | | 46 | 36 | | 47 | 4 | | 48 | 35 | | 49 | 3 |
| |
| 70.51% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.4519230769230769 | | totalSentences | 104 | | uniqueOpeners | 47 | |
| 42.19% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 79 | | matches | | 0 | "Somewhere in the dark beyond" |
| | ratio | 0.013 | |
| 93.42% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 25 | | totalSentences | 79 | | matches | | 0 | "Her boots echoed against tile" | | 1 | "She'd been off-duty, nursing a" | | 2 | "His face was frozen in" | | 3 | "She traced an invisible line" | | 4 | "He was her partner now," | | 5 | "They worked well enough, though" | | 6 | "He pointed to a splatter" | | 7 | "She moved to where he" | | 8 | "He was right." | | 9 | "He traced a line through" | | 10 | "She trailed off, looking at" | | 11 | "She stopped before it, pulling" | | 12 | "She recognized the style—arcane, angular," | | 13 | "Her chest tightened." | | 14 | "They collected samples, photographed the" | | 15 | "She knelt again, studying the" | | 16 | "She reached for it with" | | 17 | "She turned the compass over," | | 18 | "She looked at him, then" | | 19 | "She'd told herself it was" |
| | ratio | 0.316 | |
| 23.29% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 69 | | totalSentences | 79 | | matches | | 0 | "The smell hit her first." | | 1 | "Harlow Quinn had walked into" | | 2 | "Her boots echoed against tile" | | 3 | "A uniformed constable waited at" | | 4 | "She'd been off-duty, nursing a" | | 5 | "The body had been found" | | 6 | "Nothing that should have escalated" | | 7 | "The constable led her through" | | 8 | "Graffiti covered the walls in" | | 9 | "Someone had been here recently—a" | | 10 | "The body lay near the" | | 11 | "Quinn crouched beside it, her" | | 12 | "The victim was male, mid-thirties," | | 13 | "His face was frozen in" | | 14 | "The wound on his chest" | | 15 | "the constable offered" | | 16 | "Quinn studied the body's position," | | 17 | "She traced an invisible line" | | 18 | "\"—starts here, not at the" | | 19 | "DS Adrian Webb approached, his" |
| | ratio | 0.873 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 79 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 43 | | technicalSentenceCount | 2 | | matches | | 0 | "Beneath it threaded something chemical, almost floral, like the air in an old library that had been sealed too long." | | 1 | "A small brass object, half-hidden beneath a piece of debris that had been carelessly kicked aside." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 4 | | matches | | 0 | "constable waited, his face pale in the emergency lighting" | | 1 | "Webb mimed, his hand driving downward" | | 2 | "Webb appeared, his brow furrowed" | | 3 | "she said, her voice steady despite the storm in her chest" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 35 | | tagDensity | 0.057 | | leniency | 0.114 | | rawRatio | 0.5 | | effectiveRatio | 0.057 | |