| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 20 | | tagDensity | 0.05 | | leniency | 0.1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 87.76% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1225 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | |
| 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) | |
| 42.86% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1225 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "familiar" | | 1 | "tension" | | 2 | "whisper" | | 3 | "flicker" | | 4 | "etched" | | 5 | "intricate" | | 6 | "processed" | | 7 | "standard" | | 8 | "weight" | | 9 | "etch" | | 10 | "echoes" |
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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 | 43 | | matches | (empty) | |
| 76.41% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 43 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 62 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 53 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1197 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 27 | | wordCount | 880 | | uniqueNames | 6 | | maxNameDensity | 1.48 | | worstName | "Harlow" | | maxWindowNameDensity | 3 | | worstWindowName | "Harlow" | | discoveredNames | | Tube | 1 | | Camden | 2 | | Morris | 4 | | Harlow | 13 | | Met | 1 | | Eva | 6 |
| | persons | | | places | | | globalScore | 0.761 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 42 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.835 | | wordCount | 1197 | | matches | | 0 | "not spray paint, she realizes now, but a thick, resin-like substance" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 62 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 29 | | mean | 41.28 | | std | 36.37 | | cv | 0.881 | | sampleLengths | | 0 | 14 | | 1 | 113 | | 2 | 53 | | 3 | 3 | | 4 | 6 | | 5 | 8 | | 6 | 54 | | 7 | 147 | | 8 | 3 | | 9 | 12 | | 10 | 10 | | 11 | 63 | | 12 | 56 | | 13 | 12 | | 14 | 33 | | 15 | 30 | | 16 | 57 | | 17 | 21 | | 18 | 67 | | 19 | 12 | | 20 | 44 | | 21 | 20 | | 22 | 84 | | 23 | 64 | | 24 | 2 | | 25 | 24 | | 26 | 70 | | 27 | 13 | | 28 | 102 |
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| 88.94% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 43 | | matches | | 0 | "been found" | | 1 | "is covered" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 118 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 12 | | semicolonCount | 2 | | flaggedSentences | 12 | | totalSentences | 62 | | ratio | 0.194 | | matches | | 0 | "The abandoned Camden station’s stench—rust crusted into every crevice, damp rot from a leaking tunnel ceiling, and a faint, acrid ozone that pricks the back of her throat—stings her nostrils." | | 1 | "The lead had clung to her like a burr; it was the first whisper of connection to DS Morris’s unexplained collapse three years prior." | | 2 | "Curly red hair tucks behind a left ear—a nervous habit she notes in a split second, her detective’s eye cataloging every detail before she speaks." | | 3 | "The figure stands, worn leather satchel bumping her hip hard enough to make a stack of ancient leather-bound tomes peek from its unfastened slots—their gilded spines faded but still bright enough to signal rare, restricted material." | | 4 | "She checks her worn leather watch—7:14, but time feels irrelevant here, the station’s lack of clocks and natural light wrapping it in a timeless, suffocating bubble." | | 5 | "Harlow has processed 127 bodies in her 18 years of decorated Met service; this one’s complete lack of a discernible cause stumps her." | | 6 | "Harlow glances at the corpse’s pockets—she’d frisked them ten minutes prior, her military-trained hands sweeping every crevice for ID, wallets, or weapons." | | 7 | "Harlow’s torch beam catches the faint, waxy curves of the marks—they’re not spray paint, she realizes now, but a thick, resin-like substance that glistens when the light hits it at the right angle." | | 8 | "She’d missed that—her singular focus on the body’s lack of wounds had blinded her to the wall, a rookie mistake she’d not made since her first year on the beat." | | 9 | "Eva’s green eyes widen behind her round glasses, and she tucks her red hair behind her left ear again—this time so hard her earlobe flushes pink." | | 10 | "She prods the compass again, and this time the needle twitches—once, twice—before spinning wildly, its metal point whirring against the brass casing so fast it makes a high-pitched whine." | | 11 | "It has no face, no form—just a swirling mass of inky black smoke that drags a clawed appendage along the tile, leaving a trail of the same green verdigris that coats the compass." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 898 | | adjectiveStacks | 1 | | stackExamples | | 0 | "ancient leather-bound tomes" |
| | adverbCount | 23 | | adverbRatio | 0.025612472160356347 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.0033407572383073497 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 62 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 62 | | mean | 19.31 | | std | 10.25 | | cv | 0.531 | | sampleLengths | | 0 | 14 | | 1 | 25 | | 2 | 30 | | 3 | 34 | | 4 | 24 | | 5 | 12 | | 6 | 16 | | 7 | 25 | | 8 | 3 | | 9 | 6 | | 10 | 8 | | 11 | 36 | | 12 | 10 | | 13 | 8 | | 14 | 12 | | 15 | 26 | | 16 | 23 | | 17 | 36 | | 18 | 27 | | 19 | 23 | | 20 | 3 | | 21 | 12 | | 22 | 10 | | 23 | 17 | | 24 | 46 | | 25 | 14 | | 26 | 27 | | 27 | 15 | | 28 | 12 | | 29 | 22 | | 30 | 1 | | 31 | 10 | | 32 | 30 | | 33 | 24 | | 34 | 33 | | 35 | 21 | | 36 | 16 | | 37 | 15 | | 38 | 6 | | 39 | 30 | | 40 | 12 | | 41 | 26 | | 42 | 18 | | 43 | 20 | | 44 | 19 | | 45 | 13 | | 46 | 52 | | 47 | 19 | | 48 | 16 | | 49 | 29 |
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| 73.66% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.45161290322580644 | | totalSentences | 62 | | uniqueOpeners | 28 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 42 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 8 | | totalSentences | 42 | | matches | | 0 | "She adjusts her grip on" | | 1 | "She’s tracked the lead here" | | 2 | "She checks her worn leather" | | 3 | "His hands clutch a small" | | 4 | "She’d missed that—her singular focus" | | 5 | "She prods the compass again," | | 6 | "It has no face, no" | | 7 | "She’d spent three years wondering" |
| | ratio | 0.19 | |
| 19.52% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 37 | | totalSentences | 42 | | matches | | 0 | "Harlow slams her shoulder into" | | 1 | "She adjusts her grip on" | | 2 | "The abandoned Camden station’s stench—rust" | | 3 | "She’s tracked the lead here" | | 4 | "The lead had clung to" | | 5 | "A figure kneels by a" | | 6 | "The figure stands, worn leather" | | 7 | "Freckles dust her nose, visible" | | 8 | "Harlow’s sharp jaw tightens until" | | 9 | "She checks her worn leather" | | 10 | "The body at their feet" | | 11 | "His hands clutch a small" | | 12 | "Harlow has processed 127 bodies" | | 13 | "Eva taps the compass with" | | 14 | "Harlow’s gut twists so hard" | | 15 | "Morris’s body had been found" | | 16 | "Harlow glances at the corpse’s" | | 17 | "Eva gestures to the wall" | | 18 | "Harlow’s torch beam catches the" | | 19 | "Eva pulls a small UV" |
| | ratio | 0.881 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 42 | | matches | | 0 | "Now the ozone smell tugs" | | 1 | "Now she’s staring at it," |
| | ratio | 0.048 | |
| 69.60% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 39 | | technicalSentenceCount | 4 | | matches | | 0 | "The abandoned Camden station’s stench—rust crusted into every crevice, damp rot from a leaking tunnel ceiling, and a faint, acrid ozone that pricks the back of …" | | 1 | "His hands clutch a small brass compass so tight his knuckles are white, its face etched with intricate protective sigils and coated in a thick, green verdigris …" | | 2 | "Harlow’s torch beam catches the faint, waxy curves of the marks—they’re not spray paint, she realizes now, but a thick, resin-like substance that glistens when …" | | 3 | "It has no face, no form—just a swirling mass of inky black smoke that drags a clawed appendage along the tile, leaving a trail of the same green verdigris that …" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |