| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 19 | | tagDensity | 0.105 | | leniency | 0.211 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2202 | | 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) | |
| 68.21% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2202 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "echo" | | 1 | "pulse" | | 2 | "warmth" | | 3 | "vibrated" | | 4 | "throbbed" | | 5 | "whisper" | | 6 | "trembled" | | 7 | "flicked" | | 8 | "tension" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 302 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 302 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 320 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 28 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 2202 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 65.85% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 84 | | wordCount | 2139 | | uniqueNames | 12 | | maxNameDensity | 1.68 | | worstName | "Rory" | | maxWindowNameDensity | 3 | | worstWindowName | "Rory" | | discoveredNames | | Richmond | 3 | | Park | 3 | | London | 2 | | Grove | 4 | | Eva | 5 | | Heartstone | 6 | | Aurora | 4 | | Carter | 2 | | Rory | 36 | | Two | 3 | | Tap | 12 | | Tap-tap | 4 |
| | persons | | 0 | "Eva" | | 1 | "Heartstone" | | 2 | "Aurora" | | 3 | "Carter" | | 4 | "Rory" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "London" | | 3 | "Grove" |
| | globalScore | 0.658 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 162 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 0.908 | | wordCount | 2202 | | matches | | 0 | "Not enough to burn, but enough to feel deliberate" | | 1 | "not from wind but from something travelling under their roots" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 320 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 202 | | mean | 10.9 | | std | 11.67 | | cv | 1.071 | | sampleLengths | | 0 | 19 | | 1 | 2 | | 2 | 40 | | 3 | 12 | | 4 | 25 | | 5 | 7 | | 6 | 41 | | 7 | 5 | | 8 | 2 | | 9 | 66 | | 10 | 12 | | 11 | 3 | | 12 | 21 | | 13 | 5 | | 14 | 38 | | 15 | 54 | | 16 | 8 | | 17 | 5 | | 18 | 53 | | 19 | 3 | | 20 | 5 | | 21 | 2 | | 22 | 32 | | 23 | 7 | | 24 | 7 | | 25 | 29 | | 26 | 8 | | 27 | 5 | | 28 | 12 | | 29 | 36 | | 30 | 2 | | 31 | 2 | | 32 | 17 | | 33 | 6 | | 34 | 21 | | 35 | 5 | | 36 | 5 | | 37 | 5 | | 38 | 2 | | 39 | 25 | | 40 | 29 | | 41 | 4 | | 42 | 3 | | 43 | 12 | | 44 | 4 | | 45 | 41 | | 46 | 11 | | 47 | 37 | | 48 | 3 | | 49 | 4 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 302 | | matches | | 0 | "been gone" | | 1 | "been pressed" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 347 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 320 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 171 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 5 | | adverbRatio | 0.029239766081871343 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.005847953216374269 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 320 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 320 | | mean | 6.88 | | std | 4.86 | | cv | 0.707 | | sampleLengths | | 0 | 19 | | 1 | 2 | | 2 | 15 | | 3 | 4 | | 4 | 2 | | 5 | 3 | | 6 | 16 | | 7 | 12 | | 8 | 15 | | 9 | 1 | | 10 | 9 | | 11 | 2 | | 12 | 2 | | 13 | 3 | | 14 | 15 | | 15 | 13 | | 16 | 13 | | 17 | 5 | | 18 | 2 | | 19 | 9 | | 20 | 9 | | 21 | 9 | | 22 | 10 | | 23 | 6 | | 24 | 4 | | 25 | 19 | | 26 | 12 | | 27 | 3 | | 28 | 8 | | 29 | 2 | | 30 | 11 | | 31 | 5 | | 32 | 11 | | 33 | 11 | | 34 | 4 | | 35 | 12 | | 36 | 10 | | 37 | 18 | | 38 | 5 | | 39 | 3 | | 40 | 7 | | 41 | 11 | | 42 | 8 | | 43 | 5 | | 44 | 7 | | 45 | 17 | | 46 | 10 | | 47 | 19 | | 48 | 3 | | 49 | 5 |
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| 45.10% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 24 | | diversityRatio | 0.315625 | | totalSentences | 320 | | uniqueOpeners | 101 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 9 | | totalSentences | 255 | | matches | | 0 | "Even the city’s orange haze" | | 1 | "Then she found it again." | | 2 | "Then the sole." | | 3 | "Then the two entrance trees" | | 4 | "Then bark covered it." | | 5 | "Then her own voice spoke." | | 6 | "Somewhere close, a petal tore" | | 7 | "Then Eva’s voice, far from" | | 8 | "Only the left wrist betrayed" |
| | ratio | 0.035 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 44 | | totalSentences | 255 | | matches | | 0 | "She stopped beneath the last" | | 1 | "Her voice struck the nearest" | | 2 | "She left the lamp behind." | | 3 | "She found the split oak" | | 4 | "She had tied it there" | | 5 | "She crouched and studied the" | | 6 | "Her boot marks led towards" | | 7 | "They ended under her toes." | | 8 | "Her fingers closed around the" | | 9 | "She stepped backwards." | | 10 | "She counted her steps instead." | | 11 | "Its silver chain had turned" | | 12 | "She followed the ditch." | | 13 | "Their branches knitted overhead." | | 14 | "Her phone vibrated." | | 15 | "She refreshed the screen." | | 16 | "you’ve been gone since yesterday" | | 17 | "She pressed the call button." | | 18 | "She held the phone away" | | 19 | "It came from the trees" |
| | ratio | 0.173 | |
| 91.37% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 188 | | totalSentences | 255 | | matches | | 0 | "Aurora reached the oak stones" | | 1 | "She stopped beneath the last" | | 2 | "The screen held steady." | | 3 | "A hairline crack ran through" | | 4 | "The message that had brought" | | 5 | "Rory tucked the phone into" | | 6 | "The crimson stone rested against" | | 7 | "Nothing about it had changed" | | 8 | "That should have reassured her." | | 9 | "Richmond Park had never felt" | | 10 | "Cyclists, dogs, deer, families dragging" | | 11 | "Rory took the small torch" | | 12 | "Her voice struck the nearest" | | 13 | "She left the lamp behind." | | 14 | "Rain had passed through earlier," | | 15 | "The soil gave beneath her" | | 16 | "Ferns crowded the beam." | | 17 | "Droplets clung to them without" | | 18 | "The instructions on the anonymous" | | 19 | "Rory had memorised it, unwilling" |
| | ratio | 0.737 | |
| 39.22% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 255 | | matches | | 0 | "IF YOU WANT TO KNOW" | | 1 | "Even across the distance, her" |
| | ratio | 0.008 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 74 | | technicalSentenceCount | 4 | | matches | | 0 | "Rory had memorised it, unwilling to rely on a phone that had already begun lying about the time." | | 1 | "Her fingers closed around the little canister of pepper spray Eva had bought from a website that called it dog deterrent." | | 2 | "It came from the trees beyond the shadowless oaks, faint but distinct, as if someone knocked one fingernail against a hollow branch." | | 3 | "Ancient oaks ringed the clearing, their trunks thick and weather-twisted, their crowns woven into a roof that showed no stars." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 97.37% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | 0 | "it whispered (whisper)" |
| | dialogueSentences | 19 | | tagDensity | 0.053 | | leniency | 0.105 | | rawRatio | 1 | | effectiveRatio | 0.105 | |