| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 1 | | adverbTags | | 0 | "She crouched again [again]" |
| | dialogueSentences | 28 | | tagDensity | 0.536 | | leniency | 1 | | rawRatio | 0.067 | | effectiveRatio | 0.067 | |
| 91.68% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1202 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 80.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 54.24% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1202 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "echoed" | | 1 | "measured" | | 2 | "weight" | | 3 | "resolved" | | 4 | "churn" | | 5 | "silence" | | 6 | "etched" | | 7 | "warmth" | | 8 | "magnetic" | | 9 | "flickered" | | 10 | "pristine" |
| |
| 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 | 78 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 78 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 91 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 45 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1192 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 22 | | wordCount | 935 | | uniqueNames | 7 | | maxNameDensity | 0.75 | | worstName | "Quinn" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Quinn" | | discoveredNames | | Quinn | 7 | | Tube | 1 | | Camden | 1 | | Bashir | 6 | | Feld | 4 | | Dust | 1 | | Morris | 2 |
| | persons | | 0 | "Quinn" | | 1 | "Camden" | | 2 | "Bashir" | | 3 | "Feld" | | 4 | "Morris" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 53 | | 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 | 1192 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 91 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 38 | | mean | 31.37 | | std | 23.21 | | cv | 0.74 | | sampleLengths | | 0 | 74 | | 1 | 15 | | 2 | 21 | | 3 | 55 | | 4 | 49 | | 5 | 64 | | 6 | 5 | | 7 | 26 | | 8 | 51 | | 9 | 8 | | 10 | 35 | | 11 | 1 | | 12 | 1 | | 13 | 58 | | 14 | 10 | | 15 | 4 | | 16 | 51 | | 17 | 8 | | 18 | 35 | | 19 | 19 | | 20 | 18 | | 21 | 77 | | 22 | 5 | | 23 | 58 | | 24 | 12 | | 25 | 41 | | 26 | 44 | | 27 | 37 | | 28 | 6 | | 29 | 58 | | 30 | 7 | | 31 | 33 | | 32 | 84 | | 33 | 11 | | 34 | 35 | | 35 | 23 | | 36 | 37 | | 37 | 16 |
| |
| 91.77% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 78 | | matches | | 0 | "been etched" | | 1 | "been held" | | 2 | "been pulled" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 149 | | matches | | 0 | "wasn't pointing" | | 1 | "was pointing" |
| |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 0 | | flaggedSentences | 8 | | totalSentences | 91 | | ratio | 0.088 | | matches | | 0 | "Disused stations had a particular smell—rust, stagnant water, the ghost of a century's worth of human breath—but this one carried something underneath that." | | 1 | "She noted it the way she noted everything—because the small things were the ones that hanged people, or set them free." | | 2 | "Male, fifties, dressed too well for this place—charcoal overcoat, polished brogues, a signet ring catching the torchlight." | | 3 | "Dust lay over everything in a soft, even film—decades of it, undisturbed." | | 4 | "\"—or he didn't walk here at all.\"" | | 5 | "The sweet smell intensified—cloying, floral, with a chemical bite beneath it that she'd encountered once before, three years ago, in a place she still saw when she closed her eyes." | | 6 | "The face had been etched with markings she didn't recognise—angular sigils, looping script, a band of symbols that swam at the edge of meaning." | | 7 | "Bashir's expression flickered—the first crack in his tidy little story." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 545 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 13 | | adverbRatio | 0.023853211009174313 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.003669724770642202 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 91 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 91 | | mean | 13.1 | | std | 9.61 | | cv | 0.733 | | sampleLengths | | 0 | 40 | | 1 | 23 | | 2 | 2 | | 3 | 9 | | 4 | 15 | | 5 | 13 | | 6 | 8 | | 7 | 2 | | 8 | 31 | | 9 | 1 | | 10 | 21 | | 11 | 14 | | 12 | 24 | | 13 | 11 | | 14 | 17 | | 15 | 17 | | 16 | 2 | | 17 | 6 | | 18 | 22 | | 19 | 5 | | 20 | 5 | | 21 | 21 | | 22 | 19 | | 23 | 32 | | 24 | 5 | | 25 | 3 | | 26 | 8 | | 27 | 27 | | 28 | 1 | | 29 | 1 | | 30 | 23 | | 31 | 4 | | 32 | 22 | | 33 | 9 | | 34 | 3 | | 35 | 7 | | 36 | 4 | | 37 | 20 | | 38 | 12 | | 39 | 1 | | 40 | 18 | | 41 | 8 | | 42 | 1 | | 43 | 16 | | 44 | 18 | | 45 | 4 | | 46 | 15 | | 47 | 5 | | 48 | 2 | | 49 | 11 |
| |
| 79.63% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.5111111111111111 | | totalSentences | 90 | | uniqueOpeners | 46 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 70 | | matches | (empty) | | ratio | 0 | |
| 94.29% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 22 | | totalSentences | 70 | | matches | | 0 | "She paused on the stairwell" | | 1 | "Her boots found each step" | | 2 | "She noted it the way" | | 3 | "He flipped his notebook closed" | | 4 | "She didn't answer." | | 5 | "She lifted Feld's trailing hand" | | 6 | "She set the hand down" | | 7 | "She angled the beam low," | | 8 | "She rose, slow, knees protesting," | | 9 | "She tipped her head back" | | 10 | "She crouched again, and this" | | 11 | "Her jaw tightened." | | 12 | "She pushed the memory down" | | 13 | "She drew it back with" | | 14 | "She extracted it." | | 15 | "It was pointing at her" | | 16 | "She bagged it before he" | | 17 | "She tilted the bag and" | | 18 | "It led straight to the" | | 19 | "She kept her torch fixed" |
| | ratio | 0.314 | |
| 45.71% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 58 | | totalSentences | 70 | | matches | | 0 | "The call had come in" | | 1 | "Something that made the hairs" | | 2 | "She paused on the stairwell" | | 3 | "DC Bashir's voice echoed up" | | 4 | "Her boots found each step" | | 5 | "She noted it the way" | | 6 | "The platform opened before her," | | 7 | "A SOCO crouched beside it" | | 8 | "The body lay on its" | | 9 | "That was the first thing" | | 10 | "A man didn't end up" | | 11 | "Bashir straightened from his crouch." | | 12 | "He flipped his notebook closed" | | 13 | "Quinn crouched beside the body." | | 14 | "She didn't answer." | | 15 | "Bashir went on" | | 16 | "She lifted Feld's trailing hand" | | 17 | "The fingertips were clean." | | 18 | "Bashir leaned in." | | 19 | "The brogues gleamed, the soles" |
| | ratio | 0.829 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 70 | | matches | (empty) | | ratio | 0 | |
| 99.57% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 33 | | technicalSentenceCount | 2 | | matches | | 0 | "Two uniformed officers stood near the far wall, shifting their weight, unwilling to look directly at the thing in the centre of the floor." | | 1 | "The face had been etched with markings she didn't recognise—angular sigils, looping script, a band of symbols that swam at the edge of meaning." |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | 0 | "slow knees protesting (protest)" |
| | dialogueSentences | 28 | | tagDensity | 0.071 | | leniency | 0.143 | | rawRatio | 0.5 | | effectiveRatio | 0.071 | |