| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 7 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 18 | | tagDensity | 0.389 | | leniency | 0.778 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.33% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1361 | | totalAiIsmAdverbs | 1 | | 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) | |
| 66.94% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1361 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "weight" | | 1 | "echo" | | 2 | "footsteps" | | 3 | "warmth" | | 4 | "pulsed" | | 5 | "lilt" | | 6 | "silence" | | 7 | "throbbed" |
| |
| 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 | 136 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 136 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 147 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 44 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 3 | | markdownWords | 10 | | totalWords | 1366 | | ratio | 0.007 | | matches | | 0 | "Midnight. Come alone. Bring the stone." | | 1 | "come" | | 2 | "where are you" |
| |
| 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 | 45 | | wordCount | 1255 | | uniqueNames | 20 | | maxNameDensity | 0.88 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 11 | | Sheen | 1 | | Gate | 1 | | Golden | 1 | | Empress | 1 | | Heartstone | 4 | | Park | 1 | | London | 1 | | Pen | 1 | | Ponds | 1 | | Grove | 1 | | Isolde | 6 | | November | 1 | | Deptford | 1 | | Cardiff | 1 | | Silence | 1 | | Softer | 1 | | Eva | 3 | | Four | 3 | | One | 4 |
| | persons | | 0 | "Rory" | | 1 | "Heartstone" | | 2 | "Isolde" | | 3 | "Eva" |
| | places | | 0 | "Sheen" | | 1 | "Golden" | | 2 | "Park" | | 3 | "London" | | 4 | "Deptford" | | 5 | "Cardiff" | | 6 | "One" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 72 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.732 | | wordCount | 1366 | | matches | | 0 | "not by looking, but by walking toward the place her eyes kept sliding off" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 147 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 57 | | mean | 23.96 | | std | 22.07 | | cv | 0.921 | | sampleLengths | | 0 | 10 | | 1 | 56 | | 2 | 10 | | 3 | 15 | | 4 | 71 | | 5 | 20 | | 6 | 75 | | 7 | 8 | | 8 | 6 | | 9 | 19 | | 10 | 32 | | 11 | 6 | | 12 | 66 | | 13 | 43 | | 14 | 79 | | 15 | 1 | | 16 | 22 | | 17 | 10 | | 18 | 9 | | 19 | 51 | | 20 | 13 | | 21 | 3 | | 22 | 6 | | 23 | 65 | | 24 | 19 | | 25 | 35 | | 26 | 6 | | 27 | 8 | | 28 | 18 | | 29 | 47 | | 30 | 16 | | 31 | 27 | | 32 | 16 | | 33 | 1 | | 34 | 32 | | 35 | 3 | | 36 | 9 | | 37 | 18 | | 38 | 41 | | 39 | 5 | | 40 | 16 | | 41 | 12 | | 42 | 47 | | 43 | 68 | | 44 | 18 | | 45 | 17 | | 46 | 30 | | 47 | 18 | | 48 | 7 | | 49 | 1 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 136 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 203 | | matches | | |
| 84.55% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 147 | | ratio | 0.02 | | matches | | 0 | "It always did — a pressure in the ears, like the moment a train enters a tunnel — but tonight it came with a taste." | | 1 | "There was no wind — she had felt it on the walk, a thin November breeze nipping at her ears — and yet something rustled in the bracken beyond the stones." | | 2 | "And when she held the Heartstone toward it, the light caught on a surface that wasn't bark at all — something smoother, something that shone the way skin shines stretched tight over bone." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 770 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 22 | | adverbRatio | 0.02857142857142857 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.003896103896103896 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 147 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 147 | | mean | 9.29 | | std | 9.1 | | cv | 0.98 | | sampleLengths | | 0 | 10 | | 1 | 18 | | 2 | 5 | | 3 | 33 | | 4 | 7 | | 5 | 3 | | 6 | 4 | | 7 | 11 | | 8 | 25 | | 9 | 6 | | 10 | 15 | | 11 | 2 | | 12 | 5 | | 13 | 2 | | 14 | 16 | | 15 | 13 | | 16 | 7 | | 17 | 17 | | 18 | 5 | | 19 | 28 | | 20 | 25 | | 21 | 4 | | 22 | 4 | | 23 | 6 | | 24 | 3 | | 25 | 1 | | 26 | 1 | | 27 | 8 | | 28 | 6 | | 29 | 2 | | 30 | 12 | | 31 | 18 | | 32 | 5 | | 33 | 1 | | 34 | 24 | | 35 | 15 | | 36 | 16 | | 37 | 11 | | 38 | 3 | | 39 | 25 | | 40 | 4 | | 41 | 11 | | 42 | 30 | | 43 | 6 | | 44 | 1 | | 45 | 1 | | 46 | 7 | | 47 | 6 | | 48 | 28 | | 49 | 1 |
| |
| 71.30% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 14 | | diversityRatio | 0.4861111111111111 | | totalSentences | 144 | | uniqueOpeners | 70 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 6 | | totalSentences | 106 | | matches | | 0 | "Only one person Rory knew" | | 1 | "Somewhere behind her, a twig" | | 2 | "Then it climbed." | | 3 | "Once in a flooded underpass" | | 4 | "Once in the cellar beneath" | | 5 | "Then, without any sound of" |
| | ratio | 0.057 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 29 | | totalSentences | 106 | | matches | | 0 | "She waited for them to" | | 1 | "She brushed moss off her" | | 2 | "It pooled in the bracken" | | 3 | "She kept the Pen Ponds" | | 4 | "She counted to twenty, then" | | 5 | "she told the bench" | | 6 | "She found the Grove the" | | 7 | "Her gaze skated left of" | | 8 | "She fixed on the gap" | | 9 | "It always did — a" | | 10 | "She swallowed and it stayed" | | 11 | "Her voice went nowhere." | | 12 | "She checked her phone." | | 13 | "It started as body heat," | | 14 | "Hers was running twice as" | | 15 | "She turned a full circle," | | 16 | "She looked at the phone." | | 17 | "They didn't change." | | 18 | "It stood with its head" | | 19 | "She breathed out through her" |
| | ratio | 0.274 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 72 | | totalSentences | 106 | | matches | | 0 | "The deer stopped chewing when" | | 1 | "Every head turned her way." | | 2 | "She waited for them to" | | 3 | "She brushed moss off her" | | 4 | "None of them moved." | | 5 | "Rory tugged her hood up" | | 6 | "Isolde's note had come folded" | | 7 | "Yu-Fei swore she hadn't packed" | | 8 | "The handwriting leaned hard to" | | 9 | "The Heartstone sat under her" | | 10 | "Richmond Park at night had" | | 11 | "The dark here had weight." | | 12 | "It pooled in the bracken" | | 13 | "She kept the Pen Ponds" | | 14 | "Rory kept walking." | | 15 | "The deer, finally deciding she" | | 16 | "She counted to twenty, then" | | 17 | "A bench with a brass" | | 18 | "The deer had gone from" | | 19 | "she told the bench" |
| | ratio | 0.679 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 106 | | matches | | 0 | "Now they stood in ranks" | | 1 | "By the time she fished" | | 2 | "If she left, whatever was" |
| | ratio | 0.028 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 45 | | technicalSentenceCount | 1 | | matches | | 0 | "And when she held the Heartstone toward it, the light caught on a surface that wasn't bark at all — something smoother, something that shone the way skin shines…" |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 7 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 18 | | tagDensity | 0.111 | | leniency | 0.222 | | rawRatio | 0 | | effectiveRatio | 0 | |