| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 14 | | tagDensity | 0.357 | | leniency | 0.714 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 89.75% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1951 | | totalAiIsmAdverbs | 4 | | found | | 0 | | | 1 | | | 2 | | | 3 | | adverb | "reluctantly" | | count | 1 |
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| | highlights | | 0 | "very" | | 1 | "gently" | | 2 | "slowly" | | 3 | "reluctantly" |
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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) | |
| 56.43% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1951 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "scanning" | | 1 | "echoes" | | 2 | "database" | | 3 | "weight" | | 4 | "scanned" | | 5 | "velvet" | | 6 | "charged" | | 7 | "glint" | | 8 | "silence" | | 9 | "tension" | | 10 | "pulse" | | 11 | "intensity" | | 12 | "whisper" | | 13 | "firmly" |
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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 | 162 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 162 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 170 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 36 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1929 | | ratio | 0 | | matches | (empty) | |
| 97.22% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 1 | | matches | | 0 | "The steps were old—Victorian, she guessed, worn smooth in the centre from decades of foot traffic." |
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| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 59 | | wordCount | 1790 | | uniqueNames | 23 | | maxNameDensity | 0.95 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Herrera" | | discoveredNames | | Chalk | 1 | | Farm | 1 | | Road | 1 | | Camden | 3 | | High | 1 | | Street | 1 | | London | 3 | | Herrera | 13 | | Raven | 1 | | Nest | 1 | | Victorian | 2 | | Tube | 2 | | Morris | 3 | | Metropolitan | 1 | | Police | 1 | | Veil | 1 | | Market | 1 | | Underground | 1 | | Quinn | 17 | | Spanish | 1 | | Saint | 1 | | Christopher | 1 | | Andalusian | 1 |
| | persons | | 0 | "Herrera" | | 1 | "Nest" | | 2 | "Morris" | | 3 | "Quinn" | | 4 | "Saint" | | 5 | "Christopher" |
| | places | | 0 | "Chalk" | | 1 | "Farm" | | 2 | "Road" | | 3 | "Camden" | | 4 | "High" | | 5 | "Street" | | 6 | "London" | | 7 | "Raven" | | 8 | "Victorian" | | 9 | "Veil" | | 10 | "Market" |
| | globalScore | 1 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 102 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like a hole in the ground—legs dis" | | 1 | "seemed wrong" |
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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 | 1929 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 170 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 49 | | mean | 39.37 | | std | 25.49 | | cv | 0.648 | | sampleLengths | | 0 | 72 | | 1 | 16 | | 2 | 97 | | 3 | 58 | | 4 | 55 | | 5 | 77 | | 6 | 28 | | 7 | 56 | | 8 | 54 | | 9 | 3 | | 10 | 55 | | 11 | 73 | | 12 | 43 | | 13 | 51 | | 14 | 3 | | 15 | 53 | | 16 | 56 | | 17 | 102 | | 18 | 65 | | 19 | 56 | | 20 | 64 | | 21 | 40 | | 22 | 88 | | 23 | 26 | | 24 | 24 | | 25 | 8 | | 26 | 52 | | 27 | 10 | | 28 | 21 | | 29 | 2 | | 30 | 57 | | 31 | 8 | | 32 | 21 | | 33 | 34 | | 34 | 19 | | 35 | 10 | | 36 | 37 | | 37 | 35 | | 38 | 51 | | 39 | 53 | | 40 | 27 | | 41 | 6 | | 42 | 32 | | 43 | 26 | | 44 | 3 | | 45 | 29 | | 46 | 32 | | 47 | 39 | | 48 | 2 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 162 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 291 | | matches | | 0 | "wasn't running" | | 1 | "was wearing" | | 2 | "was projecting" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 22 | | semicolonCount | 0 | | flaggedSentences | 16 | | totalSentences | 170 | | ratio | 0.094 | | matches | | 0 | "She checked it—no water dripping from disturbed rungs, no wet handprints on the metal." | | 1 | "A shape dropping through what looked like a hole in the ground—legs disappearing, then nothing." | | 2 | "The steps were old—Victorian, she guessed, worn smooth in the centre from decades of foot traffic." | | 3 | "The case file still open on her desk at home, not the official one—that had been closed, stamped with \"accidental death during pursuit,\" sealed and shelved." | | 4 | "The walls changed from Victorian brick to something older—rough-hewn stone blocks fitted without mortar, sweating moisture." | | 5 | "Stalls lined both sides—wooden tables, canvas awnings, makeshift shelving units crammed with bottles and boxes and things that caught the lamplight in ways that seemed wrong." | | 6 | "There—forty meters along the platform, moving with purpose toward a cluster of stalls draped in deep red fabric." | | 7 | "She was wearing plain clothes—dark trousers, a rain-soaked grey jacket, boots that could pass for civilian." | | 8 | "Another displayed jars of liquid in colours she'd never seen outside a chemical lab—vivid, shifting, alive." | | 9 | "His left hand rested on the table, and even from this distance she could make out the scar that ran the length of his forearm—the one from his file." | | 10 | "She positioned herself behind a stall selling what appeared to be antique maps—hand-drawn, depicting coastlines and cities she couldn't place—and watched." | | 11 | "The market noise continued around them—the haggling, the laughter, the clink and murmur of commerce—but between Quinn and Herrera, the air went rigid." | | 12 | "Conversations didn't trail off—they stopped, mid-syllable, as though someone had pressed a mute button on the entire platform." | | 13 | "Every pair of eyes—and some of those eyes were wrong, shaped wrong, coloured wrong, lit from within—fixed on the small leather wallet in her raised hand." | | 14 | "She couldn't tell when, or how—they simply occupied space they hadn't occupied seconds ago." | | 15 | "The crowd parted for him like water around a stone, then began—slowly, reluctantly—to resume its murmur and motion, though Quinn felt the attention cling to her like oil on wet skin." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1820 | | adjectiveStacks | 1 | | stackExamples | | 0 | "heavy, charged, pressing against her" |
| | adverbCount | 36 | | adverbRatio | 0.01978021978021978 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.004945054945054945 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 170 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 170 | | mean | 11.35 | | std | 8.49 | | cv | 0.748 | | sampleLengths | | 0 | 20 | | 1 | 20 | | 2 | 32 | | 3 | 4 | | 4 | 3 | | 5 | 9 | | 6 | 25 | | 7 | 18 | | 8 | 4 | | 9 | 36 | | 10 | 4 | | 11 | 3 | | 12 | 7 | | 13 | 7 | | 14 | 19 | | 15 | 14 | | 16 | 14 | | 17 | 4 | | 18 | 5 | | 19 | 10 | | 20 | 18 | | 21 | 11 | | 22 | 2 | | 23 | 2 | | 24 | 7 | | 25 | 1 | | 26 | 2 | | 27 | 15 | | 28 | 24 | | 29 | 5 | | 30 | 18 | | 31 | 12 | | 32 | 5 | | 33 | 9 | | 34 | 14 | | 35 | 8 | | 36 | 2 | | 37 | 11 | | 38 | 12 | | 39 | 16 | | 40 | 4 | | 41 | 3 | | 42 | 4 | | 43 | 27 | | 44 | 5 | | 45 | 18 | | 46 | 3 | | 47 | 7 | | 48 | 12 | | 49 | 8 |
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| 60.39% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 14 | | diversityRatio | 0.4117647058823529 | | totalSentences | 170 | | uniqueOpeners | 70 | |
| 22.52% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 148 | | matches | | 0 | "Somewhere deeper in the market," |
| | ratio | 0.007 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 44 | | totalSentences | 148 | | matches | | 0 | "She keyed her radio." | | 1 | "She rounded the corner into" | | 2 | "She checked it—no water dripping" | | 3 | "He hadn't gone up." | | 4 | "She sprinted across the yard," | | 5 | "She peered down the steps." | | 6 | "She switched on the torch" | | 7 | "She knew the stories." | | 8 | "She could radio for backup" | | 9 | "She thought about DS Morris." | | 10 | "Her own file." | | 11 | "His name sat in the" | | 12 | "She'd read it forty times." | | 13 | "She had a torch, a" | | 14 | "She went down." | | 15 | "She caught fragments: laughter, the" | | 16 | "She pushed through the fabric" | | 17 | "She scanned the crowd for" | | 18 | "He wasn't running anymore." | | 19 | "He walked with the ease" |
| | ratio | 0.297 | |
| 44.46% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 123 | | totalSentences | 148 | | matches | | 0 | "The rain hit the pavement" | | 1 | "Quinn's boots slapped through a" | | 2 | "She keyed her radio." | | 3 | "Nothing but static." | | 4 | "Quinn wiped rain from her" | | 5 | "The situation demanded it." | | 6 | "Tomás Herrera had bolted the" | | 7 | "Innocent men didn't run." | | 8 | "She rounded the corner into" | | 9 | "Brick walls rose on both" | | 10 | "A fire escape ladder hung" | | 11 | "She checked it—no water dripping" | | 12 | "He hadn't gone up." | | 13 | "The passage narrowed and doglegged" | | 14 | "Quinn slowed, pressing her back" | | 15 | "A white transit van with" | | 16 | "A shape dropping through what" | | 17 | "She sprinted across the yard," | | 18 | "Stone steps descended into darkness." | | 19 | "The smell that rose from" |
| | ratio | 0.831 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 148 | | matches | (empty) | | ratio | 0 | |
| 54.79% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 73 | | technicalSentenceCount | 9 | | matches | | 0 | "Everyone in Camden CID knew the stories about the market that moved locations every full moon, the one the informants whispered about but could never pin down." | | 1 | "Stalls lined both sides—wooden tables, canvas awnings, makeshift shelving units crammed with bottles and boxes and things that caught the lamplight in ways that…" | | 2 | "He walked with the ease of someone who belonged here, nodding to a vendor, sidestepping a woman carrying a crate of glass vials that clinked with every step." | | 3 | "She was wearing plain clothes—dark trousers, a rain-soaked grey jacket, boots that could pass for civilian." | | 4 | "A man behind a table of old books watched her pass with eyes that reflected the lamplight like a cat's and she looked away, kept moving." | | 5 | "Incense, yes, but also herbs she couldn't identify, something metallic and bright, and an undercurrent of ozone as though lightning had just struck nearby." | | 6 | "Conversations didn't trail off—they stopped, mid-syllable, as though someone had pressed a mute button on the entire platform." | | 7 | "But his face carried something urgent, a tension in his olive skin that pulled his features tight." | | 8 | "They watched, dozens of them, in that unified stillness that made Quinn's skin prickle." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 14 | | tagDensity | 0.143 | | leniency | 0.286 | | rawRatio | 0 | | effectiveRatio | 0 | |