| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 1 | | adverbTags | | 0 | "she reflected aloud [aloud]" |
| | dialogueSentences | 26 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0.077 | | effectiveRatio | 0.077 | |
| 72.55% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1093 | | totalAiIsmAdverbs | 6 | | found | | 0 | | | 1 | | | 2 | | adverb | "deliberately" | | count | 1 |
| | 3 | | | 4 | | | 5 | |
| | highlights | | 0 | "softly" | | 1 | "slightly" | | 2 | "deliberately" | | 3 | "warily" | | 4 | "very" | | 5 | "carefully" |
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| 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1093 | | totalAiIsms | 26 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | |
| | highlights | | 0 | "echoes" | | 1 | "tinged" | | 2 | "flickered" | | 3 | "amidst" | | 4 | "furrowed" | | 5 | "stark" | | 6 | "mosaic" | | 7 | "uncanny" | | 8 | "traced" | | 9 | "unwavering" | | 10 | "tracing" | | 11 | "scanning" | | 12 | "familiar" | | 13 | "etched" | | 14 | "weight" | | 15 | "flicked" | | 16 | "intrigue" | | 17 | "echoed" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 58 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 58 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 71 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1084 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 89.56% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 34 | | wordCount | 910 | | uniqueNames | 11 | | maxNameDensity | 1.21 | | worstName | "Ford" | | maxWindowNameDensity | 2 | | worstWindowName | "Harlow" | | discoveredNames | | Harlow | 9 | | Quinn | 1 | | Tube | 1 | | Camden | 1 | | Veil | 3 | | Market | 3 | | Sergeant | 1 | | Ford | 11 | | Eva | 2 | | Morris | 1 | | Stepping | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Market" | | 3 | "Sergeant" | | 4 | "Ford" | | 5 | "Eva" | | 6 | "Morris" |
| | places | | | globalScore | 0.896 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 54 | | glossingSentenceCount | 1 | | matches | | 0 | "as though expecting the trinkets and talismans to reveal their secrets openly" |
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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 | 1084 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 71 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 36 | | mean | 30.11 | | std | 15.54 | | cv | 0.516 | | sampleLengths | | 0 | 65 | | 1 | 61 | | 2 | 13 | | 3 | 24 | | 4 | 55 | | 5 | 9 | | 6 | 21 | | 7 | 35 | | 8 | 21 | | 9 | 63 | | 10 | 2 | | 11 | 24 | | 12 | 23 | | 13 | 23 | | 14 | 52 | | 15 | 16 | | 16 | 18 | | 17 | 12 | | 18 | 23 | | 19 | 43 | | 20 | 38 | | 21 | 20 | | 22 | 25 | | 23 | 41 | | 24 | 30 | | 25 | 33 | | 26 | 50 | | 27 | 26 | | 28 | 19 | | 29 | 31 | | 30 | 25 | | 31 | 23 | | 32 | 29 | | 33 | 40 | | 34 | 41 | | 35 | 10 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 58 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 164 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 71 | | ratio | 0.085 | | matches | | 0 | "Her eyes settled on the focus of Ford’s scrutiny—a body laid out, limbs at uncanny angles, slightly obscured by a tent corner." | | 1 | "Her gaze drifted across the array of items at the stall—each piece bearing a significance lost beneath the surface of its sales." | | 2 | "Then, her focus shifted to the scattered contents of a nearby satchel, its interior littered with paraphernalia—artifacts and alchemical tools, akin to the kind she’d seen in Eva's own collection." | | 3 | "There, at the stall’s edge, an anomaly caught her eye—a peculiar compass, lying atop a blood-stained rag." | | 4 | "Then, amidst the clamour and barter, hidden away from prying eyes, she spied a small, obscure inscription on the market’s stone wall—concealed beneath a wilting banner." | | 5 | "Beneath the salaryman guise, beneath the patina of verdigris, lay the art of deception—crafted with precision in a world that thrived on secrets." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 919 | | adjectiveStacks | 1 | | stackExamples | | 0 | "under intermittent fluorescent lights," |
| | adverbCount | 26 | | adverbRatio | 0.028291621327529923 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.01088139281828074 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 71 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 71 | | mean | 15.27 | | std | 6.19 | | cv | 0.406 | | sampleLengths | | 0 | 26 | | 1 | 20 | | 2 | 19 | | 3 | 24 | | 4 | 14 | | 5 | 23 | | 6 | 13 | | 7 | 14 | | 8 | 10 | | 9 | 14 | | 10 | 22 | | 11 | 19 | | 12 | 9 | | 13 | 21 | | 14 | 21 | | 15 | 14 | | 16 | 14 | | 17 | 7 | | 18 | 11 | | 19 | 22 | | 20 | 30 | | 21 | 2 | | 22 | 13 | | 23 | 11 | | 24 | 15 | | 25 | 8 | | 26 | 17 | | 27 | 6 | | 28 | 21 | | 29 | 17 | | 30 | 14 | | 31 | 16 | | 32 | 13 | | 33 | 5 | | 34 | 9 | | 35 | 3 | | 36 | 16 | | 37 | 7 | | 38 | 22 | | 39 | 21 | | 40 | 12 | | 41 | 26 | | 42 | 15 | | 43 | 5 | | 44 | 18 | | 45 | 7 | | 46 | 22 | | 47 | 19 | | 48 | 13 | | 49 | 17 |
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| 82.16% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 0 | | diversityRatio | 0.49295774647887325 | | totalSentences | 71 | | uniqueOpeners | 35 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 56 | | matches | | 0 | "Then, her focus shifted to" | | 1 | "Then, amidst the clamour and" |
| | ratio | 0.036 | |
| 48.57% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 24 | | totalSentences | 56 | | matches | | 0 | "Her worn leather watch ticked" | | 1 | "He looked up, meeting her" | | 2 | "She closed the distance, weaving" | | 3 | "Her eyes settled on the" | | 4 | "she queried, her stare unwavering" | | 5 | "She crouched beside him, tracing" | | 6 | "Her eyes flickered to the" | | 7 | "Her gaze drifted across the" | | 8 | "she urged, pointing to the" | | 9 | "Her sharp jawline tightened with" | | 10 | "She moved with deliberate precision," | | 11 | "Its verdigris-coated casing held a" | | 12 | "She picked it up gingerly," | | 13 | "she mused, its quiet abandon" | | 14 | "she hypothesized, feeling the weight" | | 15 | "Her mind flicked back to" | | 16 | "She turned the compass in" | | 17 | "she reflected aloud" | | 18 | "she replied, standing, the compass" | | 19 | "She felt their scrutiny but" |
| | ratio | 0.429 | |
| 40.36% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 47 | | totalSentences | 56 | | matches | | 0 | "Detective Harlow Quinn strode into" | | 1 | "Tonight, The Veil Market had" | | 2 | "A scene lined with the" | | 3 | "Her worn leather watch ticked" | | 4 | "Harlow called out, her voice" | | 5 | "He looked up, meeting her" | | 6 | "She closed the distance, weaving" | | 7 | "Her eyes settled on the" | | 8 | "A chalk outline already traced" | | 9 | "she queried, her stare unwavering" | | 10 | "Ford shook his head, struggling" | | 11 | "She crouched beside him, tracing" | | 12 | "Her eyes flickered to the" | | 13 | "Ford continued, frustration lining his" | | 14 | "Harlow remained silent, her mind" | | 15 | "Her gaze drifted across the" | | 16 | "she urged, pointing to the" | | 17 | "Ford frowned, squinting as though" | | 18 | "Her sharp jawline tightened with" | | 19 | "She moved with deliberate precision," |
| | ratio | 0.839 | |
| 89.29% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 56 | | matches | | 0 | "Though its language was foreign," |
| | ratio | 0.018 | |
| 23.81% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 42 | | technicalSentenceCount | 7 | | matches | | 0 | "He looked up, meeting her gaze, revealing a face caught between speculation and misunderstanding." | | 1 | "She crouched beside him, tracing her fingertips along the rough cement but stopping just shy of the stains that darkened it." | | 2 | "Ford frowned, squinting as though expecting the trinkets and talismans to reveal their secrets openly." | | 3 | "She moved with deliberate precision, probing the scene for nuances, discerning those details that fell under the radar of common interpretation." | | 4 | "Stepping away, she retraced her steps, paying heed to the placement of items as though they were signposts pointing toward deeper truths." | | 5 | "Each turn suggested mysteries entangled with reality, Harlow’s expertise allowing her to untangle the web that sought to ensnare them both." | | 6 | "Beneath the salaryman guise, beneath the patina of verdigris, lay the art of deception—crafted with precision in a world that thrived on secrets." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 6 | | matches | | 0 | "Harlow called out, her voice holding the authority of years in service" | | 1 | "she queried, her stare unwavering" | | 2 | "Ford shook, struggling to articulate the dissonance" | | 3 | "Ford continued, frustration lining his words" | | 4 | "she mused, its quiet abandon speaking volumes" | | 5 | "she murmured, urgency threading through her words" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 5 | | fancyTags | | 0 | "Harlow called out (call out)" | | 1 | "she queried (query)" | | 2 | "Ford continued (continue)" | | 3 | "she urged (urge)" | | 4 | "she murmured (murmur)" |
| | dialogueSentences | 26 | | tagDensity | 0.269 | | leniency | 0.538 | | rawRatio | 0.714 | | effectiveRatio | 0.385 | |