| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 4 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1369 | | 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) | |
| 48.87% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1369 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "throb" | | 1 | "pulse" | | 2 | "pulsed" | | 3 | "could feel" | | 4 | "warmth" | | 5 | "footfall" | | 6 | "stomach" | | 7 | "whisper" | | 8 | "charged" |
| |
| 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 | 145 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 4 | | narrationSentences | 145 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 146 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 36 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1374 | | 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 | 22 | | wordCount | 1353 | | uniqueNames | 11 | | maxNameDensity | 0.37 | | worstName | "Aurora" | | maxWindowNameDensity | 1 | | worstWindowName | "Richmond" | | discoveredNames | | Richmond | 2 | | Park | 1 | | Eva | 4 | | Grove | 2 | | Heartstone | 2 | | November | 1 | | Cardiff | 2 | | Brendan | 1 | | Jennifer | 1 | | Evan | 1 | | Aurora | 5 |
| | persons | | 0 | "Eva" | | 1 | "Brendan" | | 2 | "Jennifer" | | 3 | "Evan" | | 4 | "Aurora" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Grove" | | 3 | "Cardiff" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 85 | | glossingSentenceCount | 1 | | matches | | 0 | "as if looking too hard would make it blink out" |
| |
| 54.44% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.456 | | wordCount | 1374 | | matches | | 0 | "not on any park map, but she found them because the trees thinned all at once" | | 1 | "not words but a pressure, as if someone had spoken directly into her skull" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 146 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 48 | | mean | 28.63 | | std | 19.01 | | cv | 0.664 | | sampleLengths | | 0 | 55 | | 1 | 80 | | 2 | 60 | | 3 | 49 | | 4 | 27 | | 5 | 3 | | 6 | 26 | | 7 | 1 | | 8 | 38 | | 9 | 43 | | 10 | 6 | | 11 | 30 | | 12 | 11 | | 13 | 8 | | 14 | 2 | | 15 | 37 | | 16 | 6 | | 17 | 43 | | 18 | 45 | | 19 | 34 | | 20 | 33 | | 21 | 6 | | 22 | 43 | | 23 | 32 | | 24 | 8 | | 25 | 10 | | 26 | 37 | | 27 | 15 | | 28 | 44 | | 29 | 53 | | 30 | 54 | | 31 | 3 | | 32 | 50 | | 33 | 29 | | 34 | 33 | | 35 | 38 | | 36 | 13 | | 37 | 3 | | 38 | 44 | | 39 | 31 | | 40 | 19 | | 41 | 4 | | 42 | 48 | | 43 | 29 | | 44 | 45 | | 45 | 29 | | 46 | 15 | | 47 | 2 |
| |
| 95.58% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 145 | | matches | | 0 | "was muffled" | | 1 | "been swallowed" | | 2 | "was gone" | | 3 | "were unchanged" | | 4 | "was gone" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 213 | | matches | | 0 | "was lying" | | 1 | "was joking" | | 2 | "was breathing" |
| |
| 84.15% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 146 | | ratio | 0.021 | | matches | | 0 | "Even the traffic on the A3 was muffled by the trees, and the usual night sounds of Richmond — distant dogs, the hum of buses — had been swallowed." | | 1 | "This time she saw it clearly enough to know it was a shape and nothing else — a tall, thin absence between the trunks, its outline flickering as if seen through heat." | | 2 | "She knew, with a certainty that settled cold in her stomach, that someone — something — had been standing just behind her for some time." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1021 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 32 | | adverbRatio | 0.031341821743388835 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.0068560235063663075 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 146 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 146 | | mean | 9.41 | | std | 7.62 | | cv | 0.81 | | sampleLengths | | 0 | 11 | | 1 | 22 | | 2 | 18 | | 3 | 4 | | 4 | 8 | | 5 | 26 | | 6 | 10 | | 7 | 32 | | 8 | 4 | | 9 | 5 | | 10 | 29 | | 11 | 6 | | 12 | 20 | | 13 | 12 | | 14 | 7 | | 15 | 11 | | 16 | 19 | | 17 | 7 | | 18 | 10 | | 19 | 10 | | 20 | 3 | | 21 | 6 | | 22 | 6 | | 23 | 3 | | 24 | 4 | | 25 | 3 | | 26 | 4 | | 27 | 1 | | 28 | 8 | | 29 | 21 | | 30 | 9 | | 31 | 5 | | 32 | 12 | | 33 | 15 | | 34 | 9 | | 35 | 2 | | 36 | 6 | | 37 | 3 | | 38 | 9 | | 39 | 7 | | 40 | 11 | | 41 | 6 | | 42 | 5 | | 43 | 3 | | 44 | 5 | | 45 | 2 | | 46 | 5 | | 47 | 7 | | 48 | 15 | | 49 | 5 |
| |
| 36.30% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 20 | | diversityRatio | 0.2671232876712329 | | totalSentences | 146 | | uniqueOpeners | 39 | |
| 76.92% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 130 | | matches | | 0 | "Even the traffic on the" | | 1 | "Bright blue eyes caught nothing" | | 2 | "Only a faint inner glow" |
| | ratio | 0.023 | |
| 60.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 52 | | totalSentences | 130 | | matches | | 0 | "She had gone anyway." | | 1 | "She had told herself it" | | 2 | "Her trainers sank into the" | | 3 | "She had to stop breathing" | | 4 | "She could smell earth and" | | 5 | "She came here for a" | | 6 | "She checked her bag." | | 7 | "She had come empty-handed." | | 8 | "She told herself the wrongness" | | 9 | "Her left wrist itched where" | | 10 | "It always itched when she" | | 11 | "She stepped into the clearing." | | 12 | "It was a clean break," | | 13 | "She laughed once, short and" | | 14 | "Her voice sounded too loud." | | 15 | "She could feel it through" | | 16 | "She had thought Eva was" | | 17 | "She blinked and it was" | | 18 | "She took a step forward." | | 19 | "She could hear her own" |
| | ratio | 0.4 | |
| 29.23% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 112 | | totalSentences | 130 | | matches | | 0 | "The path into Richmond Park" | | 1 | "Aurora pulled her coat tighter" | | 2 | "The map Eva had sent" | | 3 | "She had gone anyway." | | 4 | "She had told herself it" | | 5 | "Yu-Fei needed a signature from" | | 6 | "The Heartstone, thumb-sized and crimson" | | 7 | "The park was too still." | | 8 | "Her trainers sank into the" | | 9 | "The standing stones were not" | | 10 | "Moss hung from them like" | | 11 | "She had to stop breathing" | | 12 | "Aurora slipped her phone into" | | 13 | "The air was warmer here" | | 14 | "She could smell earth and" | | 15 | "The pendant pulsed." | | 16 | "She came here for a" | | 17 | "That was what she kept" | | 18 | "Client, delivery, signature." | | 19 | "She checked her bag." |
| | ratio | 0.862 | |
| 76.92% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 130 | | matches | | 0 | "Now it was awake." | | 1 | "Now it showed a reflection," |
| | ratio | 0.015 | |
| 69.97% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 49 | | technicalSentenceCount | 5 | | matches | | 0 | "Yu-Fei needed a signature from a private client who insisted on meeting at the Grove, and the pendant had been warm against her sternum all afternoon." | | 1 | "She had to stop breathing to see it properly, as if looking too hard would make it blink out." | | 2 | "She could hear her own heartbeat in her ears, and underneath it a faint thrumming, as if the ground itself was breathing in time with the stone at her throat." | | 3 | "This time she saw it clearly enough to know it was a shape and nothing else — a tall, thin absence between the trunks, its outline flickering as if seen through…" | | 4 | "A whisper brushed her ear, not words but a pressure, as if someone had spoken directly into her skull with their mouth against her skin." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 1 | | matches | | 0 | "the whisper seemed, though her name was never used here, never spoken aloud in this place" |
| |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 1 | | fancyTags | | 0 | "the whisper seemed (seem)" |
| | dialogueSentences | 4 | | tagDensity | 0.75 | | leniency | 1 | | rawRatio | 0.333 | | effectiveRatio | 0.333 | |