| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 19 | | tagDensity | 0.474 | | leniency | 0.947 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 858 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 30.07% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 858 | | totalAiIsms | 12 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | word | "down her spine" | | count | 1 |
| | 7 | | | 8 | | | 9 | | | 10 | |
| | highlights | | 0 | "velvet" | | 1 | "jaw clenched" | | 2 | "racing" | | 3 | "fleeting" | | 4 | "measured" | | 5 | "echoing" | | 6 | "down her spine" | | 7 | "potential" | | 8 | "intricate" | | 9 | "aligned" | | 10 | "tangible" |
| |
| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
| | 1 | | label | "jaw/fists clenched" | | count | 1 |
|
| | highlights | | 0 | "eyes narrowed" | | 1 | "jaw clenched" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 45 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 45 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 55 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 45 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 863 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 18.20% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 49 | | wordCount | 607 | | uniqueNames | 12 | | maxNameDensity | 2.64 | | worstName | "Harlow" | | maxWindowNameDensity | 4 | | worstWindowName | "Harlow" | | discoveredNames | | Harlow | 16 | | Quinn | 1 | | Tube | 1 | | Camden | 1 | | Veil | 7 | | Market | 3 | | Compass | 5 | | Detective | 2 | | Inspector | 1 | | Ryder | 5 | | Eva | 6 | | Kowalski | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Camden" | | 3 | "Ryder" | | 4 | "Eva" | | 5 | "Kowalski" |
| | places | (empty) | | globalScore | 0.182 | | windowScore | 0.333 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 39 | | 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 | 863 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 55 | | matches | (empty) | |
| 83.53% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 20 | | mean | 43.15 | | std | 19.09 | | cv | 0.442 | | sampleLengths | | 0 | 75 | | 1 | 86 | | 2 | 35 | | 3 | 27 | | 4 | 50 | | 5 | 36 | | 6 | 33 | | 7 | 28 | | 8 | 12 | | 9 | 39 | | 10 | 67 | | 11 | 22 | | 12 | 44 | | 13 | 11 | | 14 | 36 | | 15 | 52 | | 16 | 58 | | 17 | 42 | | 18 | 57 | | 19 | 53 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 45 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 91 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 55 | | ratio | 0.055 | | matches | | 0 | "This wasn't your average crime scene – an abandoned Tube station beneath Camden, repurposed as the Veil Market, a black market for the supernatural." | | 1 | "The Veil Compass, the missing bone token, and now, a potential witness to a fleeing figure – all hinted at a more intricate plot." | | 2 | "She was ready to dig, to follow the needle of the Veil Compass, pointing her towards the nearest supernatural rift – or, in this case, the truth." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 604 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 14 | | adverbRatio | 0.023178807947019868 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.006622516556291391 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 55 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 55 | | mean | 15.69 | | std | 7.82 | | cv | 0.499 | | sampleLengths | | 0 | 19 | | 1 | 17 | | 2 | 24 | | 3 | 15 | | 4 | 21 | | 5 | 10 | | 6 | 19 | | 7 | 21 | | 8 | 15 | | 9 | 11 | | 10 | 15 | | 11 | 9 | | 12 | 9 | | 13 | 4 | | 14 | 14 | | 15 | 2 | | 16 | 25 | | 17 | 23 | | 18 | 15 | | 19 | 21 | | 20 | 13 | | 21 | 20 | | 22 | 3 | | 23 | 14 | | 24 | 11 | | 25 | 12 | | 26 | 15 | | 27 | 13 | | 28 | 11 | | 29 | 24 | | 30 | 20 | | 31 | 23 | | 32 | 11 | | 33 | 11 | | 34 | 44 | | 35 | 3 | | 36 | 8 | | 37 | 8 | | 38 | 28 | | 39 | 6 | | 40 | 21 | | 41 | 14 | | 42 | 11 | | 43 | 22 | | 44 | 12 | | 45 | 24 | | 46 | 25 | | 47 | 11 | | 48 | 6 | | 49 | 23 |
| |
| 96.97% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 0 | | diversityRatio | 0.5818181818181818 | | totalSentences | 55 | | uniqueOpeners | 32 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 44 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 9 | | totalSentences | 44 | | matches | | 0 | "Her colleague, Detective Inspector Ryder," | | 1 | "He gestured towards the disheveled" | | 2 | "she said, not tearing her" | | 3 | "He indicated a small, ornate" | | 4 | "Its presence here, near the" | | 5 | "She tucked the observation away," | | 6 | "It aligned with the lanterns" | | 7 | "She handed him a small" | | 8 | "She was ready to dig," |
| | ratio | 0.205 | |
| 96.36% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 32 | | totalSentences | 44 | | matches | | 0 | "Detective Harlow Quinn descended onto" | | 1 | "The air clung to her" | | 2 | "This wasn't your average crime" | | 3 | "Harlow's eyes adjusted to the" | | 4 | "Harlow's gaze homed in on" | | 5 | "A small, brass compass with" | | 6 | "The Veil Compass, an tool" | | 7 | "Her colleague, Detective Inspector Ryder," | | 8 | "He gestured towards the disheveled" | | 9 | "Something didn't add up." | | 10 | "she said, not tearing her" | | 11 | "He indicated a small, ornate" | | 12 | "Harlow crouched beside the stall," | | 13 | "Ryder replied, consulting his notes" | | 14 | "Harlow's eyes narrowed." | | 15 | "The Veil Market moved locations" | | 16 | "Ryder said, nodding towards the" | | 17 | "Its presence here, near the" | | 18 | "She tucked the observation away," | | 19 | "Harlow began, her tone measured" |
| | ratio | 0.727 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 44 | | matches | | | ratio | 0.023 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 27 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 3 | | matches | | 0 | "she said, not tearing her gaze from the scattered items" | | 1 | "Harlow began, her tone measured" | | 2 | "Harlow instructed, her voice carrying across the market" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 19 | | tagDensity | 0.158 | | leniency | 0.316 | | rawRatio | 0 | | effectiveRatio | 0 | |