| 80.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 25 | | adverbTagCount | 3 | | adverbTags | | 0 | "He gestured again [again]" | | 1 | "Harlow mused aloud [aloud]" | | 2 | "Harlow walked around [around]" |
| | dialogueSentences | 47 | | tagDensity | 0.532 | | leniency | 1 | | rawRatio | 0.12 | | effectiveRatio | 0.12 | |
| 86.02% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1073 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "perfectly" | | 1 | "suddenly" | | 2 | "carefully" |
| |
| 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) | |
| 30.10% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1073 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "shattered" | | 1 | "resonance" | | 2 | "scanned" | | 3 | "perfect" | | 4 | "eyebrow" | | 5 | "glinting" | | 6 | "charged" | | 7 | "echoed" | | 8 | "echo" | | 9 | "etched" | | 10 | "tracing" | | 11 | "echoing" | | 12 | "crystalline" | | 13 | "chilling" |
| |
| 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 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 85 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 85 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 105 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 2 | | totalWords | 1070 | | ratio | 0.002 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 28.92% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 36 | | wordCount | 702 | | uniqueNames | 9 | | maxNameDensity | 2.42 | | worstName | "Harlow" | | maxWindowNameDensity | 4 | | worstWindowName | "Harlow" | | discoveredNames | | Tube | 1 | | Sergeant | 1 | | Davies | 10 | | Harlow | 17 | | Morris | 2 | | Eva | 2 | | Barely | 1 | | Greek | 1 | | Sanskrit | 1 |
| | persons | | 0 | "Sergeant" | | 1 | "Davies" | | 2 | "Harlow" | | 3 | "Morris" | | 4 | "Eva" |
| | places | (empty) | | globalScore | 0.289 | | windowScore | 0.333 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 51 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like a fine layer of ash" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1070 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 105 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 33 | | mean | 32.42 | | std | 17.59 | | cv | 0.543 | | sampleLengths | | 0 | 56 | | 1 | 32 | | 2 | 34 | | 3 | 22 | | 4 | 28 | | 5 | 22 | | 6 | 42 | | 7 | 38 | | 8 | 5 | | 9 | 45 | | 10 | 17 | | 11 | 53 | | 12 | 29 | | 13 | 4 | | 14 | 4 | | 15 | 52 | | 16 | 58 | | 17 | 9 | | 18 | 21 | | 19 | 13 | | 20 | 31 | | 21 | 50 | | 22 | 20 | | 23 | 10 | | 24 | 39 | | 25 | 14 | | 26 | 54 | | 27 | 19 | | 28 | 54 | | 29 | 45 | | 30 | 45 | | 31 | 67 | | 32 | 38 |
| |
| 97.01% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 85 | | matches | | 0 | "was connected" | | 1 | "was etched" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 116 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 105 | | ratio | 0.01 | | matches | | |
| 92.66% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 620 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 30 | | adverbRatio | 0.04838709677419355 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.014516129032258065 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 105 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 105 | | mean | 10.19 | | std | 6.52 | | cv | 0.64 | | sampleLengths | | 0 | 15 | | 1 | 22 | | 2 | 19 | | 3 | 26 | | 4 | 6 | | 5 | 4 | | 6 | 16 | | 7 | 2 | | 8 | 2 | | 9 | 10 | | 10 | 9 | | 11 | 13 | | 12 | 10 | | 13 | 18 | | 14 | 12 | | 15 | 7 | | 16 | 3 | | 17 | 5 | | 18 | 17 | | 19 | 20 | | 20 | 2 | | 21 | 20 | | 22 | 2 | | 23 | 2 | | 24 | 6 | | 25 | 6 | | 26 | 5 | | 27 | 8 | | 28 | 13 | | 29 | 7 | | 30 | 3 | | 31 | 14 | | 32 | 3 | | 33 | 14 | | 34 | 10 | | 35 | 14 | | 36 | 11 | | 37 | 18 | | 38 | 4 | | 39 | 13 | | 40 | 7 | | 41 | 3 | | 42 | 2 | | 43 | 4 | | 44 | 2 | | 45 | 2 | | 46 | 7 | | 47 | 23 | | 48 | 5 | | 49 | 3 |
| |
| 62.54% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.4095238095238095 | | totalSentences | 105 | | uniqueOpeners | 43 | |
| 93.90% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 71 | | matches | | 0 | "Just the unsettling perfect circle" | | 1 | "Barely visible against the grime." |
| | ratio | 0.028 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 20 | | totalSentences | 71 | | matches | | 0 | "She crouched, examining the coarse" | | 1 | "He gestured again at the" | | 2 | "She ran a gloved finger" | | 3 | "She remembered snippets of Morris's" | | 4 | "He'd dismissed it as nonsense," | | 5 | "She noticed it then." | | 6 | "Her partner's disappearance, the nagging" | | 7 | "It was connected." | | 8 | "She took a small, dark" | | 9 | "She'd found it amongst Morris's" | | 10 | "It had a strange patina" | | 11 | "She knelt again, tracing the" | | 12 | "It was an absence." | | 13 | "She remembered a phrase from" | | 14 | "She tapped the small brass" | | 15 | "She stopped, her eyes catching" | | 16 | "She knelt, pulling a small" | | 17 | "She carefully scraped a sample" | | 18 | "She examined the ash, a" | | 19 | "Her gaze strayed to the" |
| | ratio | 0.282 | |
| 44.51% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 59 | | totalSentences | 71 | | matches | | 0 | "The stench of ozone and" | | 1 | "Harlow stepped over the shattered" | | 2 | "The abandoned Tube station tunnel," | | 3 | "Detective Sergeant Davies, a younger" | | 4 | "Harlow scanned the tableau." | | 5 | "A circle of salt, perfectly" | | 6 | "Harlow raised an eyebrow, her" | | 7 | "Davies chewed his pen, a" | | 8 | "Harlow walked closer, her worn" | | 9 | "She crouched, examining the coarse" | | 10 | "He gestured again at the" | | 11 | "She ran a gloved finger" | | 12 | "Harlow muttered, almost to herself" | | 13 | "She remembered snippets of Morris's" | | 14 | "He'd dismissed it as nonsense," | | 15 | "Davies looked baffled." | | 16 | "Harlow ignored him, her gaze" | | 17 | "The peeling posters on the" | | 18 | "The occasional drip of water" | | 19 | "She noticed it then." |
| | ratio | 0.831 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 71 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 26 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 25 | | uselessAdditionCount | 8 | | matches | | 0 | "Harlow muttered, almost to herself" | | 1 | "Harlow moved, her heart quickening" | | 2 | "Davies asked, curiosity overriding his confusion" | | 3 | "Davies offered, a slight smirk playing on his lips" | | 4 | "Davies prompted, his earlier amusement gone, replaced by genuine concern" | | 5 | "Davies scoffed, but his eyes were wide" | | 6 | "Harlow walked around, the compass still vibrating in her hand" | | 7 | "She examined, a chilling thought forming" |
| |
| 86.17% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 3 | | fancyTags | | 0 | "Harlow muttered (mutter)" | | 1 | "Harlow corrected (correct)" | | 2 | "Harlow whispered (whisper)" |
| | dialogueSentences | 47 | | tagDensity | 0.085 | | leniency | 0.17 | | rawRatio | 0.75 | | effectiveRatio | 0.128 | |