| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 13 | | tagDensity | 0.462 | | leniency | 0.923 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 91.92% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1238 | | 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) | |
| 55.57% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1238 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "standard" | | 1 | "pulsed" | | 2 | "throb" | | 3 | "silence" | | 4 | "gloom" | | 5 | "scanned" | | 6 | "echo" | | 7 | "dancing" | | 8 | "rhythmic" | | 9 | "etched" |
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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 | 166 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 1 | | narrationSentences | 166 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 174 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 27 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 6 | | markdownWords | 10 | | totalWords | 1229 | | ratio | 0.008 | | matches | | 0 | "Don't run. Predators chase runners." | | 1 | "between" | | 2 | "Rory." | | 3 | "Crunch." | | 4 | "Crunch." | | 5 | "Run," |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 9 | | wordCount | 1182 | | uniqueNames | 7 | | maxNameDensity | 0.17 | | worstName | "Richmond" | | maxWindowNameDensity | 1 | | worstWindowName | "Richmond" | | discoveredNames | | Richmond | 2 | | Park | 2 | | Heartstone | 1 | | Pendant | 1 | | October | 1 | | Heathrow | 1 | | Camden | 1 |
| | persons | | | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Heathrow" | | 3 | "Camden" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 84 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like a stylised" |
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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 | 1229 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 174 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 69 | | mean | 17.81 | | std | 15.02 | | cv | 0.843 | | sampleLengths | | 0 | 2 | | 1 | 27 | | 2 | 47 | | 3 | 9 | | 4 | 27 | | 5 | 12 | | 6 | 44 | | 7 | 19 | | 8 | 46 | | 9 | 39 | | 10 | 30 | | 11 | 41 | | 12 | 3 | | 13 | 48 | | 14 | 11 | | 15 | 1 | | 16 | 17 | | 17 | 3 | | 18 | 36 | | 19 | 30 | | 20 | 1 | | 21 | 24 | | 22 | 3 | | 23 | 32 | | 24 | 9 | | 25 | 4 | | 26 | 1 | | 27 | 5 | | 28 | 1 | | 29 | 6 | | 30 | 23 | | 31 | 2 | | 32 | 49 | | 33 | 27 | | 34 | 41 | | 35 | 6 | | 36 | 1 | | 37 | 50 | | 38 | 2 | | 39 | 4 | | 40 | 4 | | 41 | 30 | | 42 | 14 | | 43 | 12 | | 44 | 3 | | 45 | 43 | | 46 | 4 | | 47 | 18 | | 48 | 11 | | 49 | 29 |
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| 98.92% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 166 | | matches | | 0 | "was severed" | | 1 | "was gone" | | 2 | "was gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 201 | | matches | | |
| 77.18% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 1 | | flaggedSentences | 4 | | totalSentences | 174 | | ratio | 0.023 | | matches | | 0 | "Not a rhythm I recognised—no steady human beat." | | 1 | "Wildflowers bloomed in impossible clusters at their bases—violets, snowdrops, and poppies all fighting for the same patch of dirt, their colours violently bright against the gloom." | | 2 | "That's the thing about fear; if you feed it, it grows." | | 3 | "The sky—or the ceiling of the grove—spiralled away." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 700 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 28 | | adverbRatio | 0.04 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.005714285714285714 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 174 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 174 | | mean | 7.06 | | std | 5.38 | | cv | 0.762 | | sampleLengths | | 0 | 2 | | 1 | 5 | | 2 | 10 | | 3 | 6 | | 4 | 1 | | 5 | 5 | | 6 | 17 | | 7 | 8 | | 8 | 8 | | 9 | 14 | | 10 | 2 | | 11 | 7 | | 12 | 17 | | 13 | 6 | | 14 | 1 | | 15 | 3 | | 16 | 8 | | 17 | 4 | | 18 | 11 | | 19 | 13 | | 20 | 2 | | 21 | 8 | | 22 | 7 | | 23 | 1 | | 24 | 2 | | 25 | 10 | | 26 | 9 | | 27 | 5 | | 28 | 1 | | 29 | 18 | | 30 | 22 | | 31 | 5 | | 32 | 4 | | 33 | 10 | | 34 | 5 | | 35 | 5 | | 36 | 10 | | 37 | 4 | | 38 | 4 | | 39 | 10 | | 40 | 12 | | 41 | 2 | | 42 | 13 | | 43 | 26 | | 44 | 3 | | 45 | 2 | | 46 | 25 | | 47 | 21 | | 48 | 4 | | 49 | 1 |
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| 54.02% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 16 | | diversityRatio | 0.3793103448275862 | | totalSentences | 174 | | uniqueOpeners | 66 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 6 | | totalSentences | 132 | | matches | | 0 | "Just a silence so heavy" | | 1 | "Then again, the bastard had" | | 2 | "Just the endless, towering oaks" | | 3 | "Then, from the thorns, a" | | 4 | "Just smooth, pale skin where" | | 5 | "Then I heard it." |
| | ratio | 0.045 | |
| 68.48% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 50 | | totalSentences | 132 | | matches | | 0 | "I thumbed the power button" | | 1 | "It takes seven minutes to" | | 2 | "I checked the glowing hands" | | 3 | "I had been walking for" | | 4 | "I tucked the dead phone" | | 5 | "I muttered to the empty" | | 6 | "I reached into my collar" | | 7 | "I whispered, recalling the benefactor's" | | 8 | "I took a step forward," | | 9 | "I needed the drop." | | 10 | "My hand drifted to the" | | 11 | "I scanned the periphery." | | 12 | "I crouched, dropping my centre" | | 13 | "It moved the air currents" | | 14 | "My head snapped to the" | | 15 | "I hadn't seen it a" | | 16 | "I pulled it out, holding" | | 17 | "I took a step toward" | | 18 | "I hadn't moved." | | 19 | "I spun around, but the" |
| | ratio | 0.379 | |
| 73.64% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 102 | | totalSentences | 132 | | matches | | 0 | "The phone screen stayed dead." | | 1 | "A black mirror reflecting nothing" | | 2 | "I thumbed the power button" | | 3 | "It takes seven minutes to" | | 4 | "I checked the glowing hands" | | 5 | "The second hand ticked forward," | | 6 | "I had been walking for" | | 7 | "I tucked the dead phone" | | 8 | "The leather dug into my" | | 9 | "Pain grounded me." | | 10 | "I muttered to the empty" | | 11 | "I reached into my collar" | | 12 | "The crimson gem caught the" | | 13 | "A stuttering, irregular throb against" | | 14 | "I whispered, recalling the benefactor's" | | 15 | "The air here tasted different." | | 16 | "I took a step forward," | | 17 | "Richmond Park was behind me." | | 18 | "London was behind me." | | 19 | "Here, under the ancient oaks," |
| | ratio | 0.773 | |
| 37.88% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 132 | | matches | | | ratio | 0.008 | |
| 96.27% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 46 | | technicalSentenceCount | 3 | | matches | | 0 | "I took a step forward, my boot sinking silently into moss that felt far too soft, almost spongy, for late October earth." | | 1 | "The deep crimson light flared, casting long, dancing shadows that stretched away from me, elongating and twisting." | | 2 | "The silver box skittered across the stone and vanished over the edge of a sudden precipice that hadn't been there a second ago." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 4 | | fancyTags | | 0 | "I muttered (mutter)" | | 1 | "I whispered (whisper)" | | 2 | "I hissed (hiss)" | | 3 | "I shouted (shout)" |
| | dialogueSentences | 13 | | tagDensity | 0.385 | | leniency | 0.769 | | rawRatio | 0.8 | | effectiveRatio | 0.615 | |