| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 19 | | tagDensity | 0.474 | | leniency | 0.947 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1394 | | 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) | |
| 67.72% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1394 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "silence" | | 1 | "chill" | | 2 | "determined" | | 3 | "echo" | | 4 | "etched" | | 5 | "flicker" | | 6 | "churning" |
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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 | 1 | | narrationSentences | 79 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 79 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 89 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 39 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 1392 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 0 | | matches | (empty) | |
| 88.97% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 54 | | wordCount | 1229 | | uniqueNames | 24 | | maxNameDensity | 1.22 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | Camden | 1 | | High | 1 | | Street | 1 | | Harlow | 1 | | Quinn | 15 | | Tomás | 10 | | Herrera | 2 | | Saint | 2 | | Christopher | 2 | | Kentish | 1 | | Town | 1 | | Metropolitan | 1 | | Police | 1 | | London | 3 | | Underground | 1 | | Victorian | 1 | | Northern | 1 | | Line | 1 | | Blitz | 1 | | Seville | 1 | | Glock | 1 | | Hampstead | 1 | | Heath | 1 | | Morris | 3 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Tomás" | | 3 | "Herrera" | | 4 | "Saint" | | 5 | "Christopher" | | 6 | "Police" | | 7 | "Blitz" | | 8 | "Glock" | | 9 | "Heath" | | 10 | "Morris" |
| | places | | 0 | "Camden" | | 1 | "High" | | 2 | "Street" | | 3 | "Kentish" | | 4 | "Town" | | 5 | "Metropolitan" | | 6 | "London" | | 7 | "Seville" | | 8 | "Hampstead" |
| | globalScore | 0.89 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 74 | | 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 | 1392 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 89 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 37 | | mean | 37.62 | | std | 19.83 | | cv | 0.527 | | sampleLengths | | 0 | 22 | | 1 | 52 | | 2 | 18 | | 3 | 16 | | 4 | 91 | | 5 | 32 | | 6 | 44 | | 7 | 72 | | 8 | 29 | | 9 | 57 | | 10 | 36 | | 11 | 63 | | 12 | 36 | | 13 | 29 | | 14 | 35 | | 15 | 20 | | 16 | 36 | | 17 | 38 | | 18 | 38 | | 19 | 18 | | 20 | 26 | | 21 | 74 | | 22 | 23 | | 23 | 24 | | 24 | 55 | | 25 | 12 | | 26 | 41 | | 27 | 11 | | 28 | 68 | | 29 | 14 | | 30 | 42 | | 31 | 9 | | 32 | 52 | | 33 | 43 | | 34 | 16 | | 35 | 64 | | 36 | 36 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 79 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 203 | | matches | (empty) | |
| 14.45% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 2 | | flaggedSentences | 4 | | totalSentences | 89 | | ratio | 0.045 | | matches | | 0 | "He gripped a heavy, waterproof satchel against his ribs, protecting the cargo with his left arm—an arm scored by a thick, pale scar that ran from wrist to elbow." | | 1 | "Neither looked human in the dim, filtering glow from beyond the door; their shoulders were too wide, their silhouettes thick and immobile as carved stone." | | 2 | "Between his fingers rested a small, polished disc—yellowed, carved from dense bone, etched with a spiraling labyrinth." | | 3 | "She reached for the handset, keyed the mic, and found only silence; the repeater tower three miles away on Hampstead Heath couldn't punch through whatever sat beneath this stone." |
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| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1241 | | adjectiveStacks | 2 | | stackExamples | | 0 | "short, curly brown hair," | | 1 | "heavy, pressing against her" |
| | adverbCount | 15 | | adverbRatio | 0.012087026591458501 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.0056406124093473006 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 89 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 89 | | mean | 15.64 | | std | 7.87 | | cv | 0.503 | | sampleLengths | | 0 | 22 | | 1 | 23 | | 2 | 10 | | 3 | 19 | | 4 | 18 | | 5 | 13 | | 6 | 3 | | 7 | 5 | | 8 | 20 | | 9 | 13 | | 10 | 29 | | 11 | 24 | | 12 | 16 | | 13 | 16 | | 14 | 11 | | 15 | 14 | | 16 | 19 | | 17 | 12 | | 18 | 16 | | 19 | 1 | | 20 | 24 | | 21 | 19 | | 22 | 6 | | 23 | 23 | | 24 | 8 | | 25 | 25 | | 26 | 13 | | 27 | 11 | | 28 | 12 | | 29 | 24 | | 30 | 19 | | 31 | 19 | | 32 | 25 | | 33 | 10 | | 34 | 26 | | 35 | 15 | | 36 | 14 | | 37 | 30 | | 38 | 5 | | 39 | 20 | | 40 | 24 | | 41 | 12 | | 42 | 24 | | 43 | 14 | | 44 | 14 | | 45 | 24 | | 46 | 9 | | 47 | 9 | | 48 | 21 | | 49 | 5 |
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| 72.28% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.4606741573033708 | | totalSentences | 89 | | uniqueOpeners | 41 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 77 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 15 | | totalSentences | 77 | | matches | | 0 | "She locked her balance, her" | | 1 | "He gripped a heavy, waterproof" | | 2 | "He darted left, sliding between" | | 3 | "Her left wrist twisted instinctively," | | 4 | "She pulled her tactical flashlight" | | 5 | "He had his palms up," | | 6 | "His accent rolled thick and" | | 7 | "She held her position." | | 8 | "He did not produce a" | | 9 | "He tossed it into the" | | 10 | "He slipped through the hatch" | | 11 | "Her police radio sputtered on" | | 12 | "She reached for the handset," | | 13 | "She glanced down at her" | | 14 | "She checked the magazine of" |
| | ratio | 0.195 | |
| 57.40% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 62 | | totalSentences | 77 | | matches | | 0 | "Rain sheared across the tarmac" | | 1 | "Detective Harlow Quinn hit a" | | 2 | "She locked her balance, her" | | 3 | "Quinn drove the shout from" | | 4 | "Tomás Herrera did not slow." | | 5 | "The olive skin of his" | | 6 | "Rain caught in his short," | | 7 | "He gripped a heavy, waterproof" | | 8 | "The silver chain around his" | | 9 | "He darted left, sliding between" | | 10 | "Quinn checked her stride, side-stepped" | | 11 | "The gap opened into an" | | 12 | "Quinn reached beneath her coat," | | 13 | "Her left wrist twisted instinctively," | | 14 | "Backup was six minutes out" | | 15 | "A metal fire escape clanged" | | 16 | "Tomás leaped from an iron" | | 17 | "Quinn sprinted to the lip" | | 18 | "The entrance was an obsolete" | | 19 | "A padlocked chain hung loose" |
| | ratio | 0.805 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 77 | | matches | (empty) | | ratio | 0 | |
| 89.95% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 54 | | technicalSentenceCount | 4 | | matches | | 0 | "He gripped a heavy, waterproof satchel against his ribs, protecting the cargo with his left arm—an arm scored by a thick, pale scar that ran from wrist to elbow…" | | 1 | "From somewhere farther along the curved passage came the discordant murmur of a crowded concourse: muffled haggling in languages that sheared against the ear, t…" | | 2 | "The heavy iron door ground back on dry hinges, releasing a wave of heat that carried the stench of ozone, roasting cloves, and hot iron." | | 3 | "The file had been stamped accidental death, closed by superiors who refused to reconcile the chemical analysis of the blood found on the floorboards." |
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| 13.89% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 2 | | matches | | 0 | "Tomás touched, his fingers trembling with cold" | | 1 | "Quinn stated, though the air felt heavy, pressing against her eardrums like altitude sickness" |
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| 44.74% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 2 | | fancyTags | | 0 | "Quinn stated (state)" | | 1 | "Tomás shouted (shout)" |
| | dialogueSentences | 19 | | tagDensity | 0.105 | | leniency | 0.211 | | rawRatio | 1 | | effectiveRatio | 0.211 | |