| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 30 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1306 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 73.20% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1306 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "mechanical" | | 1 | "pulse" | | 2 | "etched" | | 3 | "scanned" | | 4 | "echo" | | 5 | "traced" | | 6 | "gleaming" |
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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 | 78 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 78 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 98 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 90 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1295 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 40 | | wordCount | 761 | | uniqueNames | 9 | | maxNameDensity | 2.76 | | worstName | "Quinn" | | maxWindowNameDensity | 5.5 | | worstWindowName | "Quinn" | | discoveredNames | | Camden | 1 | | Detective | 1 | | Harlow | 1 | | Quinn | 21 | | Metropolitan | 1 | | Underground | 1 | | Kowalski | 1 | | City | 1 | | Eva | 12 |
| | persons | | 0 | "Camden" | | 1 | "Harlow" | | 2 | "Quinn" | | 3 | "Kowalski" | | 4 | "Eva" |
| | places | (empty) | | globalScore | 0.12 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 50 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 45.56% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.544 | | wordCount | 1295 | | matches | | 0 | "not north, not toward a tunnel exit, but toward a black opening behind the pillar" | | 1 | "not toward a tunnel exit, but toward a black opening behind the pillar" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 98 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 38 | | mean | 34.08 | | std | 27.74 | | cv | 0.814 | | sampleLengths | | 0 | 75 | | 1 | 27 | | 2 | 11 | | 3 | 65 | | 4 | 7 | | 5 | 12 | | 6 | 78 | | 7 | 4 | | 8 | 36 | | 9 | 90 | | 10 | 13 | | 11 | 69 | | 12 | 18 | | 13 | 6 | | 14 | 76 | | 15 | 9 | | 16 | 10 | | 17 | 59 | | 18 | 15 | | 19 | 13 | | 20 | 56 | | 21 | 24 | | 22 | 52 | | 23 | 33 | | 24 | 6 | | 25 | 4 | | 26 | 70 | | 27 | 7 | | 28 | 82 | | 29 | 16 | | 30 | 11 | | 31 | 88 | | 32 | 30 | | 33 | 13 | | 34 | 25 | | 35 | 37 | | 36 | 36 | | 37 | 12 |
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| 91.77% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 78 | | matches | | 0 | "was cropped" | | 1 | "were folded" | | 2 | "been broken" | | 3 | "been used" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 123 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 9 | | flaggedSentences | 12 | | totalSentences | 98 | | ratio | 0.122 | | matches | | 0 | "Her salt-and-pepper hair was cropped too close for fashion; her sharp jaw worked like a blade beneath skin that had weathered eighteen years of Metropolitan precision." | | 1 | "The freckled complexion of her round face looked paler under fluorescent spill that did not exist here; she adjusted her round glasses and tucked a stray curl behind her left ear." | | 2 | "A body lay against a pillar, dressed in the tailored grey of a City broker, but the posture was wrong—too still, too arranged." | | 3 | "\"The clique did not murder him here. They harvested him. This station is not dead; it is a throat.\"" | | 4 | "The victim's hands were folded across his chest in a posture of prayer, but the fingers had been broken after death—the joints twisted in directions that spoke of manual force, not accident." | | 5 | "The bone token—small, chalk-white—rested in the victim's mouth." | | 6 | "The air here was different—colder, thinner, smelling of ozone and copper wire." | | 7 | "The tunnel did not end at a wall; it curved, and the walls showed scars of recent scraping, as if something heavy had dragged through." | | 8 | "\"I see a corpse positioned for a ritual, not a crime scene. The blood is too dry. The body is too clean at the edges where he touched the pillar—no bruising from impact, just the post-mortem breakages. The bone token in his mouth is not for entry; it is a seal. The clique used it to close the deal.\"" | | 9 | "Her boots made no echo in the dark; the stone drank sound here." | | 10 | "Eighteen paces, and her torch caught something on the wall—a sigil drawn in chalk that matched the compass's face, but larger, more aggressive." | | 11 | "\"The passage leads away from the station, not toward it. The rift is not the destination. It is the source. Someone used this station as a delivery point for a body extracted elsewhere—maybe from another station, another rift. The clique is not stealing people; they are trafficking bodies through fixed points. The compass led them to the open rift; the bone token sealed the transaction; the body is evidence that the market moved goods through this tunnel.\"" |
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| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 770 | | adjectiveStacks | 2 | | stackExamples | | 0 | "paler under fluorescent spill" | | 1 | "different—colder, thinner, smelling" |
| | adverbCount | 17 | | adverbRatio | 0.02207792207792208 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.006493506493506494 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 98 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 98 | | mean | 13.21 | | std | 14.28 | | cv | 1.08 | | sampleLengths | | 0 | 16 | | 1 | 17 | | 2 | 26 | | 3 | 16 | | 4 | 17 | | 5 | 10 | | 6 | 11 | | 7 | 18 | | 8 | 31 | | 9 | 16 | | 10 | 2 | | 11 | 5 | | 12 | 12 | | 13 | 3 | | 14 | 13 | | 15 | 23 | | 16 | 7 | | 17 | 17 | | 18 | 5 | | 19 | 10 | | 20 | 4 | | 21 | 6 | | 22 | 11 | | 23 | 19 | | 24 | 2 | | 25 | 7 | | 26 | 2 | | 27 | 32 | | 28 | 12 | | 29 | 13 | | 30 | 22 | | 31 | 5 | | 32 | 8 | | 33 | 6 | | 34 | 5 | | 35 | 5 | | 36 | 12 | | 37 | 15 | | 38 | 13 | | 39 | 8 | | 40 | 3 | | 41 | 2 | | 42 | 7 | | 43 | 11 | | 44 | 6 | | 45 | 2 | | 46 | 11 | | 47 | 12 | | 48 | 5 | | 49 | 25 |
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| 43.88% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.2755102040816326 | | totalSentences | 98 | | uniqueOpeners | 27 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 63 | | matches | | 0 | "Instead she scanned the floor." | | 1 | "Only one set of prints," | | 2 | "Then she looked at Eva." |
| | ratio | 0.048 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 17 | | totalSentences | 63 | | matches | | 0 | "She counted fourteen steps, each" | | 1 | "Her salt-and-pepper hair was cropped" | | 2 | "She did not need light" | | 3 | "His bones did not match" | | 4 | "She pulled a notebook from" | | 5 | "She did not touch the" | | 6 | "Its casing carried a patina" | | 7 | "She did not lift it." | | 8 | "She moved to the pillar," | | 9 | "She shined her torch inside." | | 10 | "Her boots made no echo" | | 11 | "She counted her steps, military" | | 12 | "She looked back at the" | | 13 | "She adjusted her glasses." | | 14 | "It was a shipping label." | | 15 | "She slipped the brass compass" | | 16 | "She turned toward the tunnel," |
| | ratio | 0.27 | |
| 31.43% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 54 | | totalSentences | 63 | | matches | | 0 | "The stairs beneath Camden had" | | 1 | "She counted fourteen steps, each" | | 2 | "Her salt-and-pepper hair was cropped" | | 3 | "The leather watch on her" | | 4 | "She did not need light" | | 5 | "The air smelled of verdigris" | | 6 | "Eva Kowalski stood near the" | | 7 | "The freckled complexion of her" | | 8 | "A worn leather satchel full" | | 9 | "Quinn stepped closer." | | 10 | "The crime scene spread across" | | 11 | "A body lay against a" | | 12 | "His bones did not match" | | 13 | "Blood had pooled beneath him," | | 14 | "Eva did not answer at" | | 15 | "She pulled a notebook from" | | 16 | "She did not touch the" | | 17 | "The victim's hands were folded" | | 18 | "A small brass compass sat" | | 19 | "Its casing carried a patina" |
| | ratio | 0.857 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 63 | | matches | (empty) | | ratio | 0 | |
| 79.83% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 34 | | technicalSentenceCount | 3 | | matches | | 0 | "Her salt-and-pepper hair was cropped too close for fashion; her sharp jaw worked like a blade beneath skin that had weathered eighteen years of Metropolitan pre…" | | 1 | "The freckled complexion of her round face looked paler under fluorescent spill that did not exist here; she adjusted her round glasses and tucked a stray curl b…" | | 2 | "Eighteen paces, and her torch caught something on the wall—a sigil drawn in chalk that matched the compass's face, but larger, more aggressive." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 30 | | tagDensity | 0.3 | | leniency | 0.6 | | rawRatio | 0 | | effectiveRatio | 0 | |