| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 1 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1176 | | 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) | |
| 36.22% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1176 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "chill" | | 1 | "warmth" | | 2 | "pulse" | | 3 | "silence" | | 4 | "weight" | | 5 | "silk" | | 6 | "spectral" | | 7 | "flickered" | | 8 | "footsteps" | | 9 | "perfect" | | 10 | "glistening" | | 11 | "echo" | | 12 | "pulsed" |
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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 | 111 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 111 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 112 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1176 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 10 | | wordCount | 1167 | | uniqueNames | 7 | | maxNameDensity | 0.26 | | worstName | "Don" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Don" | | discoveredNames | | Soho | 1 | | Park | 1 | | Heartstone | 2 | | Mum | 1 | | London | 1 | | Eva | 1 | | Don | 3 |
| | persons | | 0 | "Heartstone" | | 1 | "Mum" | | 2 | "Eva" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 44.37% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 71 | | glossingSentenceCount | 3 | | matches | | 0 | "felt like wet silk, and the small cresc" | | 1 | "felt like tearing my own throat out" | | 2 | "smelled like rotting fruit" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.85 | | wordCount | 1176 | | matches | | 0 | "Not its usual faint warmth, the kind that greeted me near certain alleyways in Soho, but a frantic arrhythmic pulse" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 112 | | matches | (empty) | |
| 76.38% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 16 | | mean | 73.5 | | std | 30.67 | | cv | 0.417 | | sampleLengths | | 0 | 41 | | 1 | 87 | | 2 | 77 | | 3 | 60 | | 4 | 69 | | 5 | 108 | | 6 | 69 | | 7 | 109 | | 8 | 78 | | 9 | 27 | | 10 | 69 | | 11 | 106 | | 12 | 92 | | 13 | 1 | | 14 | 63 | | 15 | 120 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 111 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 206 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 112 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 45 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 1 | | adverbRatio | 0.022222222222222223 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 112 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 112 | | mean | 10.5 | | std | 7.34 | | cv | 0.699 | | sampleLengths | | 0 | 9 | | 1 | 32 | | 2 | 12 | | 3 | 29 | | 4 | 15 | | 5 | 21 | | 6 | 6 | | 7 | 4 | | 8 | 7 | | 9 | 14 | | 10 | 6 | | 11 | 23 | | 12 | 4 | | 13 | 5 | | 14 | 18 | | 15 | 5 | | 16 | 16 | | 17 | 7 | | 18 | 1 | | 19 | 2 | | 20 | 9 | | 21 | 20 | | 22 | 5 | | 23 | 16 | | 24 | 9 | | 25 | 13 | | 26 | 9 | | 27 | 9 | | 28 | 8 | | 29 | 5 | | 30 | 2 | | 31 | 20 | | 32 | 1 | | 33 | 1 | | 34 | 2 | | 35 | 12 | | 36 | 4 | | 37 | 7 | | 38 | 26 | | 39 | 28 | | 40 | 14 | | 41 | 11 | | 42 | 29 | | 43 | 3 | | 44 | 12 | | 45 | 3 | | 46 | 17 | | 47 | 12 | | 48 | 4 | | 49 | 4 |
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| 44.05% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 14 | | diversityRatio | 0.3392857142857143 | | totalSentences | 112 | | uniqueOpeners | 38 | |
| 95.24% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 105 | | matches | | 0 | "Just a single deliberate nod" | | 1 | "Then the blackness strained back." | | 2 | "Then another, lower, from the" |
| | ratio | 0.029 | |
| 82.86% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 36 | | totalSentences | 105 | | matches | | 0 | "I jerked back and slapped" | | 1 | "I had pedalled from" | | 2 | "I knelt, my fingers brushing" | | 3 | "I pulled my hand back." | | 4 | "I had dismissed those stories" | | 5 | "I stood, brushing dirt from" | | 6 | "My phone screen read 00:47." | | 7 | "I checked it against my" | | 8 | "I shoved the useless thing" | | 9 | "I refused to look." | | 10 | "I knew bait when I" | | 11 | "I fixed my gaze on" | | 12 | "I stepped closer." | | 13 | "Its silver chain grew taut" | | 14 | "I stepped forward, not because" | | 15 | "I had worn it out" | | 16 | "I strained to see into" | | 17 | "I'd already failed one." | | 18 | "They hung, suspended, too close" | | 19 | "They swayed in opposing directions," |
| | ratio | 0.343 | |
| 55.24% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 85 | | totalSentences | 105 | | matches | | 0 | "The silver chain seared a" | | 1 | "I jerked back and slapped" | | 2 | "I had pedalled from" | | 3 | "Richmond Park had swallowed the" | | 4 | "The trees here stood too" | | 5 | "The silence held weight." | | 6 | "Wildflowers crowded the space between" | | 7 | "Foxgloves, bluebells, and crimson poppies" | | 8 | "October soil shouldn't yield such" | | 9 | "I knelt, my fingers brushing" | | 10 | "A foxglove bell twitched." | | 11 | "I pulled my hand back." | | 12 | "The flowers had no right" | | 13 | "I had dismissed those stories" | | 14 | "The grove made a mockery" | | 15 | "I stood, brushing dirt from" | | 16 | "My phone screen read 00:47." | | 17 | "I checked it against my" | | 18 | "The battery bar jumped from" | | 19 | "I shoved the useless thing" |
| | ratio | 0.81 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 105 | | matches | | 0 | "Now, in this hidden clearing," | | 1 | "Now the stories had caught" | | 2 | "Now it sensed something here" |
| | ratio | 0.029 | |
| 57.14% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 50 | | technicalSentenceCount | 6 | | matches | | 0 | "Not its usual faint warmth, the kind that greeted me near certain alleyways in Soho, but a frantic arrhythmic pulse that felt less like warning and more like su…" | | 1 | "I knelt, my fingers brushing petals that felt like wet silk, and the small crescent scar on my left wrist began to itch." | | 2 | "The stone's surface bore no markings, yet I felt certain, with the kind of certainty that bypasses logic, that something had pressed its palm there seconds befo…" | | 3 | "The wildflowers outside the ring bent lower, their stems creaking, pressing their faces toward the soil as if in prayer or terror." | | 4 | "They swayed in opposing directions, bowing toward me, their petals brushing my jeans like curious fingers." | | 5 | "The path back lay behind the first stone, but the shadows there had thickened into a wall, a solid mass of dark that swallowed the edges of my vision." |
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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 | |