| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 17 | | tagDensity | 0.176 | | leniency | 0.353 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 91.84% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1226 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 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) | |
| 14.36% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1226 | | totalAiIsms | 21 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | word | "down my spine" | | count | 1 |
| | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | |
| | highlights | | 0 | "fractured" | | 1 | "footsteps" | | 2 | "echoed" | | 3 | "reminder" | | 4 | "flicker" | | 5 | "unreadable" | | 6 | "scanned" | | 7 | "echoing" | | 8 | "potential" | | 9 | "intricate" | | 10 | "chill" | | 11 | "down my spine" | | 12 | "pounding" | | 13 | "otherworldly" | | 14 | "pulsed" | | 15 | "sense of" | | 16 | "wavering" | | 17 | "tension" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "air was thick with" | | count | 1 |
|
| | highlights | | 0 | "The air was thick with" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 2 | | narrationSentences | 84 | | matches | | 0 | "e with surprise" | | 1 | "felt a chill" |
| |
| 91.84% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 84 | | filterMatches | | | hedgeMatches | | |
| 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 | | maxSentenceWordsSeen | 26 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1227 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 7 | | wordCount | 1106 | | uniqueNames | 4 | | maxNameDensity | 0.27 | | worstName | "Morris" | | maxWindowNameDensity | 1 | | worstWindowName | "Soho" | | discoveredNames | | Soho | 2 | | Morris | 3 | | London | 1 | | Underground | 1 |
| | persons | | | places | | | globalScore | 1 | | windowScore | 1 | |
| 84.21% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 76 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like animal pelts" | | 1 | "symbols that seemed to shift and writhe in the dim light" |
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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 | 1227 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 98 | | matches | (empty) | |
| 73.99% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 42 | | mean | 29.21 | | std | 11.95 | | cv | 0.409 | | sampleLengths | | 0 | 46 | | 1 | 28 | | 2 | 37 | | 3 | 44 | | 4 | 42 | | 5 | 41 | | 6 | 41 | | 7 | 44 | | 8 | 28 | | 9 | 46 | | 10 | 34 | | 11 | 56 | | 12 | 28 | | 13 | 30 | | 14 | 12 | | 15 | 24 | | 16 | 40 | | 17 | 26 | | 18 | 26 | | 19 | 17 | | 20 | 16 | | 21 | 21 | | 22 | 22 | | 23 | 22 | | 24 | 16 | | 25 | 33 | | 26 | 50 | | 27 | 39 | | 28 | 13 | | 29 | 23 | | 30 | 8 | | 31 | 43 | | 32 | 23 | | 33 | 21 | | 34 | 23 | | 35 | 43 | | 36 | 19 | | 37 | 31 | | 38 | 16 | | 39 | 23 | | 40 | 24 | | 41 | 8 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 84 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 190 | | matches | | |
| 84.55% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 98 | | ratio | 0.02 | | matches | | 0 | "The air grew thick with the smell of damp earth and something else - copper, maybe, or old blood." | | 1 | "There - a flash of black near the far wall." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1106 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 21 | | adverbRatio | 0.0189873417721519 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.0054249547920434 | |
| 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 | 12.52 | | std | 5.31 | | cv | 0.424 | | sampleLengths | | 0 | 13 | | 1 | 15 | | 2 | 18 | | 3 | 15 | | 4 | 13 | | 5 | 19 | | 6 | 6 | | 7 | 12 | | 8 | 14 | | 9 | 15 | | 10 | 15 | | 11 | 14 | | 12 | 2 | | 13 | 10 | | 14 | 16 | | 15 | 10 | | 16 | 15 | | 17 | 16 | | 18 | 11 | | 19 | 12 | | 20 | 18 | | 21 | 19 | | 22 | 25 | | 23 | 7 | | 24 | 16 | | 25 | 5 | | 26 | 15 | | 27 | 14 | | 28 | 17 | | 29 | 22 | | 30 | 12 | | 31 | 22 | | 32 | 16 | | 33 | 18 | | 34 | 13 | | 35 | 15 | | 36 | 8 | | 37 | 10 | | 38 | 12 | | 39 | 10 | | 40 | 2 | | 41 | 5 | | 42 | 11 | | 43 | 8 | | 44 | 9 | | 45 | 16 | | 46 | 15 | | 47 | 14 | | 48 | 12 | | 49 | 17 |
| |
| 42.52% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.3163265306122449 | | totalSentences | 98 | | uniqueOpeners | 31 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 83 | | matches | (empty) | | ratio | 0 | |
| 46.51% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 36 | | totalSentences | 83 | | matches | | 0 | "I pushed off the brick" | | 1 | "He was fast, but I'd" | | 2 | "My lungs burned as I" | | 3 | "I shouted, flashing my badge" | | 4 | "They scattered, their startled faces" | | 5 | "I caught a glimpse of" | | 6 | "My hand found my service" | | 7 | "My radio crackled with static," | | 8 | "He'd been following a lead" | | 9 | "I clicked on my flashlight," | | 10 | "My footsteps echoed in the" | | 11 | "I swung my flashlight toward" | | 12 | "My flashlight beam danced across" | | 13 | "I followed, my weapon at" | | 14 | "I scanned the crowd, searching" | | 15 | "He was moving through the" | | 16 | "I shouted, my voice echoing" | | 17 | "I moved forward, my weapon" | | 18 | "I kept my back to" | | 19 | "I swung my flashlight toward" |
| | ratio | 0.434 | |
| 20.24% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 73 | | totalSentences | 83 | | matches | | 0 | "The suspect darted around the" | | 1 | "I pushed off the brick" | | 2 | "The neon signs of Soho" | | 3 | "He was fast, but I'd" | | 4 | "My lungs burned as I" | | 5 | "I shouted, flashing my badge" | | 6 | "They scattered, their startled faces" | | 7 | "The alley ahead narrowed, the" | | 8 | "I caught a glimpse of" | | 9 | "My hand found my service" | | 10 | "The door swung open with" | | 11 | "The suspect was already gone," | | 12 | "My radio crackled with static," | | 13 | "He'd been following a lead" | | 14 | "The case had gone cold," | | 15 | "I clicked on my flashlight," | | 16 | "The stairs were concrete, worn" | | 17 | "The air grew thick with" | | 18 | "My footsteps echoed in the" | | 19 | "A flicker of movement caught" |
| | ratio | 0.88 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 83 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 62 | | technicalSentenceCount | 2 | | matches | | 0 | "Stalls lined the walls, their wares illuminated by strings of bare bulbs that cast harsh shadows." | | 1 | "The chamber seemed to press in around me, the air thick with tension and something else, something that made my instincts scream at me to run." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 2 | | matches | | 0 | "I shouted, my voice echoing off the vaulted ceiling" | | 1 | "she said, her voice carrying a strange accent I couldn't place" |
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| 32.35% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 2 | | fancyTags | | 0 | "I shouted (shout)" | | 1 | "I shouted (shout)" |
| | dialogueSentences | 17 | | tagDensity | 0.176 | | leniency | 0.353 | | rawRatio | 0.667 | | effectiveRatio | 0.235 | |