| 40.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 2 | | adverbTags | | 0 | "Eva said quietly [quietly]" | | 1 | "She hesitated then [then]" |
| | dialogueSentences | 25 | | tagDensity | 0.44 | | leniency | 0.88 | | rawRatio | 0.182 | | effectiveRatio | 0.16 | |
| 86.09% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1797 | | totalAiIsmAdverbs | 5 | | found | | 0 | | | 1 | | | 2 | | adverb | "deliberately" | | count | 1 |
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| | highlights | | 0 | "very" | | 1 | "carefully" | | 2 | "deliberately" |
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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) | |
| 61.05% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1797 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "measured" | | 1 | "etched" | | 2 | "shimmered" | | 3 | "standard" | | 4 | "mosaic" | | 5 | "perfect" | | 6 | "weight" | | 7 | "ceaseless" |
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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 | 82 | | matches | (empty) | |
| 90.59% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 0 | | narrationSentences | 82 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 96 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 66 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1784 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 41 | | wordCount | 1204 | | uniqueNames | 17 | | maxNameDensity | 0.83 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 10 | | Tube | 1 | | Veil | 2 | | Market | 1 | | Northern | 1 | | Sergeant | 1 | | Hargrove | 7 | | Eva | 7 | | Kowalski | 1 | | Aurora | 1 | | Oxford | 1 | | Met | 1 | | Hull-based | 1 | | Shade | 1 | | Compasses | 1 | | Detective | 3 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Sergeant" | | 3 | "Hargrove" | | 4 | "Eva" | | 5 | "Kowalski" | | 6 | "Aurora" | | 7 | "Hull-based" | | 8 | "Compasses" | | 9 | "Detective" |
| | places | | 0 | "Market" | | 1 | "Oxford" | | 2 | "Met" | | 3 | "Shade" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 71 | | 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 | 1784 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 96 | | matches | (empty) | |
| 99.57% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 32 | | mean | 55.75 | | std | 27.79 | | cv | 0.498 | | sampleLengths | | 0 | 109 | | 1 | 97 | | 2 | 78 | | 3 | 7 | | 4 | 91 | | 5 | 26 | | 6 | 63 | | 7 | 3 | | 8 | 78 | | 9 | 51 | | 10 | 65 | | 11 | 58 | | 12 | 59 | | 13 | 38 | | 14 | 80 | | 15 | 71 | | 16 | 80 | | 17 | 12 | | 18 | 55 | | 19 | 66 | | 20 | 11 | | 21 | 83 | | 22 | 26 | | 23 | 66 | | 24 | 30 | | 25 | 8 | | 26 | 65 | | 27 | 74 | | 28 | 59 | | 29 | 49 | | 30 | 44 | | 31 | 82 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 82 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 190 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 2 | | flaggedSentences | 10 | | totalSentences | 96 | | ratio | 0.104 | | matches | | 0 | "Each step rang faintly against the iron, the sound swallowed almost at once by the damp air that smelled of wet concrete, ozone, and something sweeter—incense cut with sulphur." | | 1 | "She had pressed it into the circular depression beside the barred gate at street level; the iron had sighed open like a deliberate thing." | | 2 | "Now she moved past the outer stalls where hooded vendors haggled under witch-light lanterns—jars of powdered bone, bottles of thrice-distilled shadow, knives that hummed when unsheathed." | | 3 | "Her closely cropped salt-and-pepper hair did not stir in the underground draft; her sharp jaw stayed level." | | 4 | "The cut along the seams looked deliberate—unpicked rather than slashed." | | 5 | "The face markings—concentric rings and runic notches—matched nothing in the Met’s standard occult glossaries." | | 6 | "The left sole carried a thin smear of pink chalk dust used only in certain Hull-based summoning circles—an inland formula rarely seen this far south." | | 7 | "The tile shifted a fraction under pressure—not enough for a door, yet enough to reveal a thin seam of darkness that exhaled colder air laced with the same ozone as the market investiture." | | 8 | "Eva offered a quiet translation of the lesser runes—ward against self-harm, ward against interference, a third that simply meant “return.” Not a decoy." | | 9 | "The detective filmed the blood pattern again from three angles, noting the absence of arterial bounce and the presence of small half-moon impressions around the body’s right hip—pressure from a kneeling weight after death to adjust the corpse." |
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| 97.27% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1229 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 53 | | adverbRatio | 0.043124491456468676 | | lyAdverbCount | 16 | | lyAdverbRatio | 0.013018714401952807 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 96 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 96 | | mean | 18.58 | | std | 12.81 | | cv | 0.689 | | sampleLengths | | 0 | 29 | | 1 | 29 | | 2 | 13 | | 3 | 6 | | 4 | 32 | | 5 | 13 | | 6 | 24 | | 7 | 26 | | 8 | 34 | | 9 | 25 | | 10 | 25 | | 11 | 22 | | 12 | 6 | | 13 | 7 | | 14 | 17 | | 15 | 16 | | 16 | 12 | | 17 | 30 | | 18 | 16 | | 19 | 9 | | 20 | 17 | | 21 | 4 | | 22 | 59 | | 23 | 3 | | 24 | 49 | | 25 | 9 | | 26 | 20 | | 27 | 19 | | 28 | 14 | | 29 | 18 | | 30 | 8 | | 31 | 18 | | 32 | 10 | | 33 | 6 | | 34 | 6 | | 35 | 17 | | 36 | 7 | | 37 | 13 | | 38 | 6 | | 39 | 18 | | 40 | 14 | | 41 | 17 | | 42 | 11 | | 43 | 31 | | 44 | 2 | | 45 | 36 | | 46 | 8 | | 47 | 5 | | 48 | 29 | | 49 | 38 |
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| 67.71% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.4375 | | totalSentences | 96 | | uniqueOpeners | 42 | |
| 43.29% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 77 | | matches | | 0 | "Just past three in the" |
| | ratio | 0.013 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 21 | | totalSentences | 77 | | matches | | 0 | "She checked her worn leather" | | 1 | "She had pressed it into" | | 2 | "He glanced up as she" | | 3 | "She stopped short of the" | | 4 | "His jacket had been cut" | | 5 | "Her closely cropped salt-and-pepper hair" | | 6 | "She lifted the left cuff" | | 7 | "She turned next to the" | | 8 | "It jittered, then steadied toward" | | 9 | "She had stepped closer, green" | | 10 | "Her bearing remained straight-backed, military." | | 11 | "She moved along the wall," | | 12 | "She hesitated, then produced a" | | 13 | "She sealed the compass into" | | 14 | "She brushed a sample into" | | 15 | "She stepped to the wall" | | 16 | "She stepped back and ordered" | | 17 | "It continued to strain toward" | | 18 | "She turned to Hargrove." | | 19 | "She stopped herself, cheeks colouring" |
| | ratio | 0.273 | |
| 31.43% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 66 | | totalSentences | 77 | | matches | | 0 | "Detective Harlow Quinn descended the" | | 1 | "Each step rang faintly against" | | 2 | "She checked her worn leather" | | 3 | "The full moon had slipped," | | 4 | "The bone token in her" | | 5 | "She had pressed it into" | | 6 | "Detective Sergeant Hargrove stood with" | | 7 | "He glanced up as she" | | 8 | "She stopped short of the" | | 9 | "A body lay sprawled against" | | 10 | "His jacket had been cut" | | 11 | "A small brass compass rested" | | 12 | "Blood had pooled under his" | | 13 | "Quinn kept her voice low" | | 14 | "Her closely cropped salt-and-pepper hair" | | 15 | "Hargrove flipped a page." | | 16 | "Hargrove nodded toward a freckled" | | 17 | "A worn leather satchel hung" | | 18 | "Quinn recognised Eva Kowalski from" | | 19 | "Childhood friend of the girl" |
| | ratio | 0.857 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 77 | | matches | | 0 | "Now she moved past the" | | 1 | "Whoever wanted this death to" |
| | ratio | 0.026 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 47 | | technicalSentenceCount | 10 | | matches | | 0 | "Detective Harlow Quinn descended the rusted service stairs of the abandoned Tube station with the measured tread of someone who had cleared more basements than …" | | 1 | "Each step rang faintly against the iron, the sound swallowed almost at once by the damp air that smelled of wet concrete, ozone, and something sweeter—incense c…" | | 2 | "Now she moved past the outer stalls where hooded vendors haggled under witch-light lanterns—jars of powdered bone, bottles of thrice-distilled shadow, knives th…" | | 3 | "Blue-and-white tape had no place here, yet someone had strung thin red string etched with glyphs that shimmered when she looked at them too long." | | 4 | "A small brass compass rested two feet from his outstretched right hand, its casing tinted verdigris, the face etched with overlapping protective sigils that cau…" | | 5 | "She moved along the wall, torch beam following the faint scuff of boot heels that stopped abruptly six inches from the mosaic." | | 6 | "The scuffs ended in a perfect half-circle, as if the man had simply ceased moving rather than staggered." | | 7 | "The tile shifted a fraction under pressure—not enough for a door, yet enough to reveal a thin seam of darkness that exhaled colder air laced with the same ozone…" | | 8 | "Someone professional, someone versed enough in the market’s etiquette not to raise panic at the stalls, someone who knew how Veil Compasses behaved and decided …" | | 9 | "Whoever wanted this death to look ordinary had overlooked the simplest rule of stagecraft: leave nothing on the stage that does not serve the lie." |
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| 79.55% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 1 | | matches | | 0 | "She stopped, cheeks colouring under the freckles" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 1 | | fancyTags | | 0 | "Hargrove muttered (mutter)" |
| | dialogueSentences | 25 | | tagDensity | 0.16 | | leniency | 0.32 | | rawRatio | 0.25 | | effectiveRatio | 0.08 | |