| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 17 | | adverbTagCount | 1 | | adverbTags | | 0 | "Eva’s fingers tightened around [around]" |
| | dialogueSentences | 33 | | tagDensity | 0.515 | | leniency | 1 | | rawRatio | 0.059 | | effectiveRatio | 0.059 | |
| 50.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1100 | | totalAiIsmAdverbs | 11 | | found | | 0 | | | 1 | | | 2 | | adverb | "deliberately" | | count | 3 |
| | 3 | | | 4 | | | 5 | | | 6 | |
| | highlights | | 0 | "carefully" | | 1 | "nervously" | | 2 | "deliberately" | | 3 | "perfectly" | | 4 | "precisely" | | 5 | "suddenly" | | 6 | "truly" |
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| 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) | |
| 13.64% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1100 | | totalAiIsms | 19 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | |
| | highlights | | 0 | "vibrated" | | 1 | "rhythmic" | | 2 | "chaotic" | | 3 | "constructed" | | 4 | "processed" | | 5 | "familiar" | | 6 | "velvet" | | 7 | "scanning" | | 8 | "etching" | | 9 | "etched" | | 10 | "database" | | 11 | "gleaming" | | 12 | "echoed" | | 13 | "standard" | | 14 | "eyebrow" | | 15 | "potential" | | 16 | "spectral" | | 17 | "chilled" |
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| 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 | 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 | 77 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 33 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1104 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 60.96% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 48 | | wordCount | 730 | | uniqueNames | 14 | | maxNameDensity | 1.78 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | Tube | 1 | | Detective | 1 | | Harlow | 1 | | Quinn | 13 | | Veil | 5 | | Market | 5 | | Morris | 1 | | Eva | 8 | | Kowalski | 1 | | Mr | 1 | | Blackwood | 4 | | Compass | 2 | | Inspector | 1 | | Davies | 4 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Market" | | 3 | "Morris" | | 4 | "Eva" | | 5 | "Kowalski" | | 6 | "Mr" | | 7 | "Blackwood" | | 8 | "Compass" | | 9 | "Inspector" | | 10 | "Davies" |
| | places | (empty) | | globalScore | 0.61 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 44 | | 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 | 1104 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 77 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 27 | | mean | 40.89 | | std | 20.94 | | cv | 0.512 | | sampleLengths | | 0 | 65 | | 1 | 49 | | 2 | 43 | | 3 | 43 | | 4 | 51 | | 5 | 40 | | 6 | 101 | | 7 | 10 | | 8 | 27 | | 9 | 56 | | 10 | 13 | | 11 | 11 | | 12 | 59 | | 13 | 44 | | 14 | 20 | | 15 | 50 | | 16 | 30 | | 17 | 44 | | 18 | 16 | | 19 | 56 | | 20 | 30 | | 21 | 37 | | 22 | 33 | | 23 | 61 | | 24 | 10 | | 25 | 33 | | 26 | 72 |
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| 82.25% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 61 | | matches | | 0 | "was dressed" | | 1 | "was placed" | | 2 | "been placed" | | 3 | "been forced" | | 4 | "was etched" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 120 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 1 | | flaggedSentences | 5 | | totalSentences | 77 | | ratio | 0.065 | | matches | | 0 | "The air in the abandoned Tube station tasted of damp concrete and something else, something acrid and faintly floral – the scent of burnt rosemary, Detective Harlow Quinn thought, wrinkling her nose." | | 1 | "It wasn’t the rose itself that bothered Quinn – these kinds of morbid trinkets were commonplace in the Market – but the way it was placed." | | 2 | "It hadn’t simply been placed; it had been forced." | | 3 | "There, almost concealed by a layer of grime, was a faint etching – a stylized depiction of a serpent coiled around a key." | | 4 | "It referred to the underlying network of supernatural connections that bound the Veil Market together – the ley lines, the pocket dimensions, the shadowy entities that drifted through the spaces between realities." |
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| 81.94% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 726 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 35 | | adverbRatio | 0.048209366391184574 | | lyAdverbCount | 24 | | lyAdverbRatio | 0.03305785123966942 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 77 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 77 | | mean | 14.34 | | std | 8.74 | | cv | 0.61 | | sampleLengths | | 0 | 32 | | 1 | 25 | | 2 | 3 | | 3 | 5 | | 4 | 23 | | 5 | 15 | | 6 | 11 | | 7 | 28 | | 8 | 15 | | 9 | 11 | | 10 | 32 | | 11 | 11 | | 12 | 17 | | 13 | 12 | | 14 | 11 | | 15 | 29 | | 16 | 11 | | 17 | 4 | | 18 | 10 | | 19 | 16 | | 20 | 13 | | 21 | 26 | | 22 | 9 | | 23 | 23 | | 24 | 10 | | 25 | 8 | | 26 | 19 | | 27 | 4 | | 28 | 2 | | 29 | 3 | | 30 | 2 | | 31 | 1 | | 32 | 15 | | 33 | 10 | | 34 | 19 | | 35 | 9 | | 36 | 4 | | 37 | 9 | | 38 | 2 | | 39 | 4 | | 40 | 14 | | 41 | 23 | | 42 | 18 | | 43 | 18 | | 44 | 26 | | 45 | 10 | | 46 | 10 | | 47 | 7 | | 48 | 29 | | 49 | 14 |
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| 67.53% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.4675324675324675 | | totalSentences | 77 | | uniqueOpeners | 36 | |
| 58.48% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 57 | | matches | | 0 | "Suddenly, a voice cut through" |
| | ratio | 0.018 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 17 | | totalSentences | 57 | | matches | | 0 | "It always smelled like this." | | 1 | "She adjusted the worn leather" | | 2 | "she asked, her voice clipped" | | 3 | "She carefully collected samples of" | | 4 | "He was dressed in an" | | 5 | "It wasn’t the rose itself" | | 6 | "It hadn’t simply been placed;" | | 7 | "She pulled out a small" | | 8 | "she said, her voice low" | | 9 | "She moved to a side" | | 10 | "She held up the Veil" | | 11 | "It referred to the underlying" | | 12 | "He was a politician's choice," | | 13 | "He wore a perfectly tailored" | | 14 | "She pointed to the shimmering" | | 15 | "She looked back at the" | | 16 | "She felt it, a cold" |
| | ratio | 0.298 | |
| 30.18% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 49 | | totalSentences | 57 | | matches | | 0 | "The air in the abandoned" | | 1 | "The Veil Market." | | 2 | "It always smelled like this." | | 3 | "She adjusted the worn leather" | | 4 | "DS Morris would have called" | | 5 | "Quinn preferred to think of" | | 6 | "she asked, her voice clipped" | | 7 | "Eva, bundled in a too-large" | | 8 | "Eva said, her voice barely" | | 9 | "Quinn knelt, pulling out a" | | 10 | "The kit felt reassuringly familiar," | | 11 | "She carefully collected samples of" | | 12 | "Eva’s fingers tightened around her" | | 13 | "The victim, a Mr." | | 14 | "Silas Blackwood, lay sprawled on" | | 15 | "He was dressed in an" | | 16 | "A single, perfectly formed rose," | | 17 | "It wasn’t the rose itself" | | 18 | "It hadn’t simply been placed;" | | 19 | "Quinn asked, her eyes scanning" |
| | ratio | 0.86 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 57 | | matches | (empty) | | ratio | 0 | |
| 50.69% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 31 | | technicalSentenceCount | 4 | | matches | | 0 | "Rain hammered against the vaulted ceiling, a relentless, grey drumbeat that did little to mask the low hum of energy that vibrated beneath her feet." | | 1 | "As she focused, the impressions solidified, revealing themselves as the claw marks of a creature that wasn't entirely animal." | | 2 | "It referred to the underlying network of supernatural connections that bound the Veil Market together – the ley lines, the pocket dimensions, the shadowy entiti…" | | 3 | "He was a politician's choice, someone who favored bureaucracy over investigation, and a staunch believer in the mundane." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 17 | | uselessAdditionCount | 8 | | matches | | 0 | "Eva said, her voice barely audible above the rain" | | 1 | "Quinn asked, her eyes scanning the scene" | | 2 | "she said, her voice low" | | 3 | "Eva hesitated, her freckled face pale" | | 4 | "Eva offered, her voice still shaky" | | 5 | "She held up, its brass casing gleaming faintly in the dim light" | | 6 | "Eva said, her eyes widening" | | 7 | "Quinn said, her voice hardening" |
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| 89.39% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 2 | | fancyTags | | 0 | "Quinn murmured (murmur)" | | 1 | "Quinn corrected (correct)" |
| | dialogueSentences | 33 | | tagDensity | 0.303 | | leniency | 0.606 | | rawRatio | 0.2 | | effectiveRatio | 0.121 | |