| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 4 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1211 | | 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) | |
| 46.33% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1211 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "stark" | | 1 | "pulse" | | 2 | "echoes" | | 3 | "porcelain" | | 4 | "footsteps" | | 5 | "pulsed" | | 6 | "shimmered" | | 7 | "velvet" | | 8 | "warmth" | | 9 | "weight" | | 10 | "grave" | | 11 | "trembled" | | 12 | "familiar" |
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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 | 113 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 113 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 116 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 49 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1198 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 1 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 41 | | wordCount | 1192 | | uniqueNames | 18 | | maxNameDensity | 0.92 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Morris" | | discoveredNames | | Harlow | 1 | | Quinn | 11 | | Metropolitan | 1 | | Police | 1 | | Brick | 1 | | Lane | 1 | | Camden | 2 | | Morris | 6 | | London | 4 | | Spitalfields | 1 | | Victorian | 1 | | Tube | 1 | | Blitz | 1 | | Transport | 1 | | Veil | 1 | | Market | 3 | | Glock | 1 | | Keep | 3 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Police" | | 3 | "Camden" | | 4 | "Morris" | | 5 | "Blitz" | | 6 | "Market" |
| | places | | 0 | "Brick" | | 1 | "Lane" | | 2 | "London" | | 3 | "Spitalfields" | | 4 | "Victorian" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 69 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 33.06% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.669 | | wordCount | 1198 | | matches | | 0 | "no explanation but" | | 1 | "not from a mouth but from the air itself, grinding like tectonic plates shifting" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 116 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 32 | | mean | 37.44 | | std | 29.03 | | cv | 0.775 | | sampleLengths | | 0 | 80 | | 1 | 58 | | 2 | 58 | | 3 | 21 | | 4 | 18 | | 5 | 39 | | 6 | 109 | | 7 | 24 | | 8 | 103 | | 9 | 3 | | 10 | 81 | | 11 | 39 | | 12 | 1 | | 13 | 24 | | 14 | 48 | | 15 | 22 | | 16 | 45 | | 17 | 1 | | 18 | 69 | | 19 | 28 | | 20 | 55 | | 21 | 5 | | 22 | 53 | | 23 | 32 | | 24 | 54 | | 25 | 48 | | 26 | 4 | | 27 | 3 | | 28 | 25 | | 29 | 5 | | 30 | 4 | | 31 | 39 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 113 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 204 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 116 | | ratio | 0.078 | | matches | | 0 | "Eighteen years with the Metropolitan Police had taught her that wet prey made mistakes—slipping on iron grates, misjudging the glare off wet tarmac, leaving tracks that glowed under sodium streetlamps." | | 1 | "The suspect—hood up, shoulders twitching with adrenaline—vaulted a railing at the end of Brick Lane and vanished into the arterial veins of Camden." | | 2 | "Pale flash—porcelain mask, or perhaps skin bleached by something worse than London's perpetual winter." | | 3 | "Below, footsteps rang hollow—descending, without end, into the city's buried architecture." | | 4 | "She knew these bones—London's sealed infrastructure, the veins they'd left to rot after the Blitz, forgotten by Transport for London but remembered by other things." | | 5 | "Beyond it, a cavern yawned—the old station tunnels converted into a bazaar that hurt to look at directly." | | 6 | "A bone—fifth metacarpal, human, or close enough to pass." | | 7 | "Below, the Market breathed—ancient, hungry, trading in contraband that defied physics and potions that rewrote memories." | | 8 | "The truth waited there—whatever had killed Morris, whatever laws this place operated under, whatever real shape the world took when you peeled back the veneer." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1205 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 21 | | adverbRatio | 0.017427385892116183 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.0008298755186721991 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 116 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 116 | | mean | 10.33 | | std | 8.51 | | cv | 0.824 | | sampleLengths | | 0 | 6 | | 1 | 21 | | 2 | 30 | | 3 | 23 | | 4 | 4 | | 5 | 35 | | 6 | 10 | | 7 | 5 | | 8 | 4 | | 9 | 11 | | 10 | 7 | | 11 | 8 | | 12 | 15 | | 13 | 3 | | 14 | 2 | | 15 | 12 | | 16 | 4 | | 17 | 14 | | 18 | 3 | | 19 | 2 | | 20 | 16 | | 21 | 5 | | 22 | 5 | | 23 | 18 | | 24 | 11 | | 25 | 8 | | 26 | 22 | | 27 | 5 | | 28 | 18 | | 29 | 7 | | 30 | 2 | | 31 | 1 | | 32 | 18 | | 33 | 3 | | 34 | 25 | | 35 | 4 | | 36 | 2 | | 37 | 2 | | 38 | 16 | | 39 | 8 | | 40 | 21 | | 41 | 18 | | 42 | 22 | | 43 | 11 | | 44 | 16 | | 45 | 7 | | 46 | 3 | | 47 | 7 | | 48 | 21 | | 49 | 8 |
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| 57.76% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 18 | | diversityRatio | 0.4396551724137931 | | totalSentences | 116 | | uniqueOpeners | 51 | |
| 66.01% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 101 | | matches | | 0 | "Then they dropped." | | 1 | "Somewhere that filed no paperwork," |
| | ratio | 0.02 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 24 | | totalSentences | 101 | | matches | | 0 | "She checked her watch." | | 1 | "Her jaw tightened, sharp angles" | | 2 | "She didn't believe in anniversaries." | | 3 | "She believed in momentum." | | 4 | "Her shoes struck concrete in" | | 5 | "Her fingers scraped rough brick." | | 6 | "She took the stairs three" | | 7 | "Her left wrist burned where" | | 8 | "Her breath came sharp, controlled." | | 9 | "She knew these bones—London's sealed" | | 10 | "Her heart pounded against her" | | 11 | "She'd seen enough death to" | | 12 | "He'd died somewhere like this." | | 13 | "It held a ledger that" | | 14 | "Her shoes squeaked on tile," | | 15 | "It pooled dark as ink," | | 16 | "She had her warrant card." | | 17 | "She had her service Glock," | | 18 | "She had eighteen years of" | | 19 | "She could climb the stairs." |
| | ratio | 0.238 | |
| 93.66% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 74 | | totalSentences | 101 | | matches | | 0 | "Rain drilled the pavement like" | | 1 | "Detective Harlow Quinn cut through" | | 2 | "The suspect—hood up, shoulders twitching" | | 3 | "She checked her watch." | | 4 | "Water beaded on the worn" | | 5 | "Her jaw tightened, sharp angles" | | 6 | "She didn't believe in anniversaries." | | 7 | "She believed in momentum." | | 8 | "Her shoes struck concrete in" | | 9 | "The suspect had fifteen meters," | | 10 | "A silhouette against the sodium" | | 11 | "Steam rose from a vent" | | 12 | "The kind of darkness that" | | 13 | "The figure glanced back." | | 14 | "Quinn skidded to the edge." | | 15 | "Her fingers scraped rough brick." | | 16 | "She took the stairs three" | | 17 | "Her left wrist burned where" | | 18 | "Her breath came sharp, controlled." | | 19 | "Military precision demanded oxygen discipline," |
| | ratio | 0.733 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 101 | | matches | (empty) | | ratio | 0 | |
| 11.66% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 49 | | technicalSentenceCount | 9 | | matches | | 0 | "Eighteen years with the Metropolitan Police had taught her that wet prey made mistakes—slipping on iron grates, misjudging the glare off wet tarmac, leaving tra…" | | 1 | "Her shoes struck concrete in a rhythm that matched her pulse." | | 2 | "Something blue and liquid that cast no shadows, that made her retinas ache with its wrongness." | | 3 | "The suspect stood at the platform's lip, facing a gate of brass and obsidian that shimmered like heat haze over asphalt." | | 4 | "Stalls lined the curved walls, their wares glowing with bioluminescence, with trapped lightning, with substances that moved against gravity in glass jars." | | 5 | "Somewhere that filed no paperwork, that spat bodies back into the world with no explanation but natural causes, leaving behind case files that gathered dust and…" | | 6 | "It held a ledger that dripped ink upward, defying gravity, the pages turning themselves." | | 7 | "The crowd swallowed them whole, the hood disappearing behind a stall draped in velvet that moved without wind." | | 8 | "She had eighteen years of believing the world operated on evidence, on cause and effect, on the certainty that her partner had made a mistake that night in the …" |
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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 | |