| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 88.67% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1324 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "completely" | | 1 | "slowly" | | 2 | "really" |
| |
| 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) | |
| 35.80% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1324 | | totalAiIsms | 17 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | word | "the last thing" | | count | 1 |
| | 11 | | | 12 | | | 13 | | | 14 | | | 15 | |
| | highlights | | 0 | "fractured" | | 1 | "silence" | | 2 | "shattered" | | 3 | "pulsed" | | 4 | "rhythmic" | | 5 | "echoing" | | 6 | "flickered" | | 7 | "echoed" | | 8 | "echo" | | 9 | "searing" | | 10 | "the last thing" | | 11 | "familiar" | | 12 | "echoes" | | 13 | "pulse" | | 14 | "whisper" | | 15 | "weight" |
| |
| 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 | 195 | | matches | (empty) | |
| 84.25% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 8 | | hedgeCount | 0 | | narrationSentences | 195 | | filterMatches | | 0 | "watch" | | 1 | "know" | | 2 | "think" | | 3 | "feel" | | 4 | "listen" |
| | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 195 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 21 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1324 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 38 | | wordCount | 1324 | | uniqueNames | 9 | | maxNameDensity | 1.81 | | worstName | "You" | | maxWindowNameDensity | 3.5 | | worstWindowName | "You" | | discoveredNames | | London | 2 | | Park | 1 | | Heartstone | 3 | | Hel | 1 | | Battersea | 1 | | Evan | 1 | | Cardiff | 1 | | Rory | 4 | | You | 24 |
| | persons | | 0 | "Heartstone" | | 1 | "Evan" | | 2 | "Rory" | | 3 | "You" |
| | places | | 0 | "London" | | 1 | "Park" | | 2 | "Hel" | | 3 | "Battersea" | | 4 | "Cardiff" |
| | globalScore | 0.594 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 102 | | glossingSentenceCount | 1 | | matches | | 0 | "sounded like gravel shifting underfoot" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1324 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 195 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 31 | | mean | 42.71 | | std | 25.57 | | cv | 0.599 | | sampleLengths | | 0 | 115 | | 1 | 62 | | 2 | 53 | | 3 | 30 | | 4 | 4 | | 5 | 34 | | 6 | 12 | | 7 | 18 | | 8 | 52 | | 9 | 44 | | 10 | 62 | | 11 | 8 | | 12 | 41 | | 13 | 98 | | 14 | 15 | | 15 | 50 | | 16 | 20 | | 17 | 32 | | 18 | 50 | | 19 | 27 | | 20 | 75 | | 21 | 27 | | 22 | 43 | | 23 | 78 | | 24 | 16 | | 25 | 18 | | 26 | 63 | | 27 | 31 | | 28 | 57 | | 29 | 35 | | 30 | 54 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 195 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 265 | | matches | | 0 | "wasn't tracking" | | 1 | "was walking" |
| |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 195 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1326 | | adjectiveStacks | 1 | | stackExamples | | 0 | "heavy, pressing against her" |
| | adverbCount | 46 | | adverbRatio | 0.03469079939668175 | | lyAdverbCount | 15 | | lyAdverbRatio | 0.011312217194570135 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 195 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 195 | | mean | 6.79 | | std | 4.36 | | cv | 0.643 | | sampleLengths | | 0 | 21 | | 1 | 19 | | 2 | 6 | | 3 | 5 | | 4 | 4 | | 5 | 16 | | 6 | 14 | | 7 | 19 | | 8 | 11 | | 9 | 6 | | 10 | 10 | | 11 | 12 | | 12 | 4 | | 13 | 7 | | 14 | 5 | | 15 | 4 | | 16 | 8 | | 17 | 6 | | 18 | 5 | | 19 | 5 | | 20 | 7 | | 21 | 2 | | 22 | 6 | | 23 | 9 | | 24 | 12 | | 25 | 7 | | 26 | 2 | | 27 | 5 | | 28 | 7 | | 29 | 4 | | 30 | 2 | | 31 | 10 | | 32 | 4 | | 33 | 18 | | 34 | 16 | | 35 | 4 | | 36 | 8 | | 37 | 3 | | 38 | 7 | | 39 | 8 | | 40 | 7 | | 41 | 15 | | 42 | 7 | | 43 | 14 | | 44 | 9 | | 45 | 7 | | 46 | 3 | | 47 | 3 | | 48 | 15 | | 49 | 8 |
| |
| 32.05% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 35 | | diversityRatio | 0.2512820512820513 | | totalSentences | 195 | | uniqueOpeners | 49 | |
| 37.66% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 177 | | matches | | 0 | "Then it shifted." | | 1 | "Only tangled roots and damp" |
| | ratio | 0.011 | |
| 27.91% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 85 | | totalSentences | 177 | | matches | | 0 | "She pulled the silver chain" | | 1 | "She tucked the pendant back" | | 2 | "She checked her watch." | | 3 | "She tapped the glass." | | 4 | "She slid it into her" | | 5 | "She exhaled slowly and faced" | | 6 | "She pulled it from her" | | 7 | "She swiped accept and lifted" | | 8 | "You took your time." | | 9 | "I followed the map." | | 10 | "It always lies when the" | | 11 | "You know what happens when" | | 12 | "She ran her thumb over" | | 13 | "I didn't call to hear" | | 14 | "I need to know why" | | 15 | "I need to know who" | | 16 | "You really think a dead" | | 17 | "You hold a key you" | | 18 | "She stared at the black" | | 19 | "She slipped it into her" |
| | ratio | 0.48 | |
| 2.37% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 162 | | totalSentences | 177 | | matches | | 0 | "The oak standing stones rose" | | 1 | "Rory stepped past the outer" | | 2 | "Richmond Park slept beyond the" | | 3 | "Cars hummed on distant roads." | | 4 | "People argued in pubs." | | 5 | "She pulled the silver chain" | | 6 | "The Heartstone warmed against her" | | 7 | "She tucked the pendant back" | | 8 | "The wildflowers bloomed in impossible" | | 9 | "Bluebells tangled with foxgloves, their" | | 10 | "A scent of ozone and" | | 11 | "She checked her watch." | | 12 | "The hands refused to move." | | 13 | "She tapped the glass." | | 14 | "The second hand twitched backward," | | 15 | "She slid it into her" | | 16 | "Branches scraped against one another." | | 17 | "The sound originated from directly" | | 18 | "Vines draped like dry hair" | | 19 | "Shadows stretched long and unnatural," |
| | ratio | 0.915 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 177 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 39 | | technicalSentenceCount | 2 | | matches | | 0 | "Rory stepped past the outer ring of wood, boots sinking into moss that smelled of crushed mint and iron." | | 1 | "The words bounced off the oaks, returning distorted, layered with a second tone that matched her cadence exactly." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |