| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 88.80% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1339 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "carefully" | | 1 | "suddenly" | | 2 | "very" |
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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) | |
| 21.58% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1339 | | totalAiIsms | 21 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | |
| | highlights | | 0 | "rhythmic" | | 1 | "perfect" | | 2 | "echoing" | | 3 | "scanning" | | 4 | "weight" | | 5 | "glint" | | 6 | "etched" | | 7 | "intricate" | | 8 | "magnetic" | | 9 | "calculated" | | 10 | "silence" | | 11 | "footsteps" | | 12 | "pulsed" | | 13 | "familiar" | | 14 | "depths" | | 15 | "firmly" | | 16 | "flickered" | | 17 | "churning" |
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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 | 100 | | matches | (empty) | |
| 42.86% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 5 | | narrationSentences | 100 | | filterMatches | | | hedgeMatches | | 0 | "tried to" | | 1 | "began to" | | 2 | "happened to" | | 3 | "tended to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 100 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 44 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1339 | | ratio | 0 | | matches | (empty) | |
| 62.50% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 2 | | matches | | 0 | "A Veil Compass, she whispered, the name tasting like copper on her tongue." | | 1 | "No, she snapped, her eyes narrowing as she detected a trace of familiar, bitter wind rising from the tunnel depths." |
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| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 29 | | wordCount | 1339 | | uniqueNames | 8 | | maxNameDensity | 0.82 | | worstName | "Miller" | | maxWindowNameDensity | 2 | | worstWindowName | "Miller" | | discoveredNames | | Camden | 1 | | Quinn | 7 | | London | 1 | | Veil | 3 | | Market | 2 | | Miller | 11 | | Compass | 2 | | Morris | 2 |
| | persons | | 0 | "Quinn" | | 1 | "Market" | | 2 | "Miller" | | 3 | "Compass" | | 4 | "Morris" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 83 | | 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 | 1339 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 100 | | matches | (empty) | |
| 80.34% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 31 | | mean | 43.19 | | std | 18.62 | | cv | 0.431 | | sampleLengths | | 0 | 74 | | 1 | 40 | | 2 | 37 | | 3 | 54 | | 4 | 63 | | 5 | 12 | | 6 | 18 | | 7 | 66 | | 8 | 13 | | 9 | 19 | | 10 | 66 | | 11 | 40 | | 12 | 44 | | 13 | 69 | | 14 | 36 | | 15 | 23 | | 16 | 33 | | 17 | 23 | | 18 | 54 | | 19 | 41 | | 20 | 36 | | 21 | 24 | | 22 | 52 | | 23 | 51 | | 24 | 35 | | 25 | 39 | | 26 | 33 | | 27 | 58 | | 28 | 68 | | 29 | 34 | | 30 | 84 |
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| 80.70% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 7 | | totalSentences | 100 | | matches | | 0 | "is shot" | | 1 | "been occupied" | | 2 | "been treated" | | 3 | "get preserved" | | 4 | "was discarded" | | 5 | "get caught" | | 6 | "been closed" |
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| 84.56% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 231 | | matches | | 0 | "was spinning" | | 1 | "was pointing" | | 2 | "wasn't pointing" | | 3 | "were scrubbing" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 6 | | flaggedSentences | 6 | | totalSentences | 100 | | ratio | 0.06 | | matches | | 0 | "The air here didn’t smell of woodsmoke or petrol; it smelled metallic, like a lightning strike trapped in a glass jar." | | 1 | "They weren't graffiti; they were calculated strikes, deep gouges that followed the geometry of a protective ward." | | 2 | "She noticed the way the soot didn't just sit on the platform; it curved upward, defying gravity, clinging to the air in microscopic tendrils." | | 3 | "The compass wasn't lost; it was discarded because its needle was spinning too fast to be of any use anymore." | | 4 | "It wasn't pointing at a portal; it was pointing at a shadow that detached itself from the wall, a tall, gaunt figure draped in robes that shifted like smoke." | | 5 | "It wasn't a crime of greed; it was a retrieval." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1343 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 28 | | adverbRatio | 0.02084884586746091 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.008935219657483246 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 100 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 100 | | mean | 13.39 | | std | 7.47 | | cv | 0.558 | | sampleLengths | | 0 | 13 | | 1 | 19 | | 2 | 20 | | 3 | 22 | | 4 | 10 | | 5 | 4 | | 6 | 26 | | 7 | 20 | | 8 | 17 | | 9 | 23 | | 10 | 17 | | 11 | 14 | | 12 | 8 | | 13 | 12 | | 14 | 21 | | 15 | 22 | | 16 | 8 | | 17 | 4 | | 18 | 5 | | 19 | 7 | | 20 | 6 | | 21 | 16 | | 22 | 19 | | 23 | 16 | | 24 | 15 | | 25 | 13 | | 26 | 7 | | 27 | 4 | | 28 | 8 | | 29 | 8 | | 30 | 6 | | 31 | 18 | | 32 | 11 | | 33 | 18 | | 34 | 5 | | 35 | 10 | | 36 | 13 | | 37 | 17 | | 38 | 12 | | 39 | 7 | | 40 | 6 | | 41 | 19 | | 42 | 13 | | 43 | 12 | | 44 | 44 | | 45 | 16 | | 46 | 9 | | 47 | 4 | | 48 | 4 | | 49 | 3 |
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| 58.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.39 | | totalSentences | 100 | | uniqueOpeners | 39 | |
| 66.67% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 100 | | matches | | 0 | "Probably a prop from a" | | 1 | "Instead, the metal is ice-cold." |
| | ratio | 0.02 | |
| 52.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 42 | | totalSentences | 100 | | matches | | 0 | "She avoided the puddles where" | | 1 | "Her sergeant, a man named" | | 2 | "He gestured toward a cluster" | | 3 | "We’ve got no prints, no" | | 4 | "She reached out, her gloved" | | 5 | "She leaned closer, her sharp" | | 6 | "She extracted a pair of" | | 7 | "It was a compass, its" | | 8 | "She turned the device over" | | 9 | "It spun in wild, erratic" | | 10 | "You don’t film with artifacts" | | 11 | "She pocketed the compass, standing" | | 12 | "Her gaze landed on a" | | 13 | "They weren't graffiti; they were" | | 14 | "They would have trampled the" | | 15 | "She walked toward the tunnel" | | 16 | "It’s been treated." | | 17 | "It’s an old station, Quinn." | | 18 | "She stopped, pointing to a" | | 19 | "It pulsed with a heartbeat" |
| | ratio | 0.42 | |
| 55.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 81 | | totalSentences | 100 | | matches | | 0 | "The air in the abandoned" | | 1 | "Harlow Quinn stepped over a" | | 2 | "She avoided the puddles where" | | 3 | "Detective Quinn checked the leather" | | 4 | "The station shouldn’t exist on" | | 5 | "Her sergeant, a man named" | | 6 | "He gestured toward a cluster" | | 7 | "This looks like an arson" | | 8 | "Someone set a fire, burnt" | | 9 | "We’ve got no prints, no" | | 10 | "Quinn knelt by the edge" | | 11 | "She reached out, her gloved" | | 12 | "The air here didn’t smell" | | 13 | "She leaned closer, her sharp" | | 14 | "Arsonists don’t leave the edges" | | 15 | "Miller scoffed, shifting his weight." | | 16 | "That’s just the ventilation from" | | 17 | "Drafty enough to distribute the" | | 18 | "Quinn ignored him, her attention" | | 19 | "She extracted a pair of" |
| | ratio | 0.81 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 100 | | matches | | 0 | "If this were a simple" | | 1 | "If this were an arson," | | 2 | "If you look into the" |
| | ratio | 0.03 | |
| 57.57% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 67 | | technicalSentenceCount | 8 | | matches | | 0 | "Along the tunnel walls, posters from decades past peeled in long, dead strips, revealing graffiti that hummed with a subtle, rhythmic vibration." | | 1 | "She leaned closer, her sharp jaw set, eyes scanning the debris for something that didn’t fit the narrative of a simple burnout." | | 2 | "It spun in wild, erratic spasms, chasing a shadow that moved too fast for the eye to follow." | | 3 | "They weren't graffiti; they were calculated strikes, deep gouges that followed the geometry of a protective ward." | | 4 | "The atmosphere felt heavy, a compressive pressure that made her lungs ache." | | 5 | "Three years ago, she had stood in a room just like this, staring at the empty space where her partner, DS Morris, had simply vanished into the dark, leaving beh…" | | 6 | "No, she snapped, her eyes narrowing as she detected a trace of familiar, bitter wind rising from the tunnel depths." | | 7 | "The entity tilted its head, a motion that reminded her of a broken marionette." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |