| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 12 | | tagDensity | 0.417 | | leniency | 0.833 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.91% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1222 | | 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) | |
| 59.08% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1222 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "quickened" | | 1 | "silence" | | 2 | "weight" | | 3 | "warmth" | | 4 | "could feel" | | 5 | "footsteps" | | 6 | "perfect" |
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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 | 103 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 103 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 109 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 43 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1234 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 1 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 13 | | wordCount | 1201 | | uniqueNames | 10 | | maxNameDensity | 0.25 | | worstName | "Rory" | | maxWindowNameDensity | 1 | | worstWindowName | "Richmond" | | discoveredNames | | Silas | 1 | | Park | 1 | | Hood | 1 | | Gate | 1 | | Heathrow | 1 | | Richmond | 2 | | August | 1 | | January | 1 | | Closer | 1 | | Rory | 3 |
| | persons | | 0 | "Silas" | | 1 | "Hood" | | 2 | "Gate" | | 3 | "Rory" |
| | places | | 0 | "Park" | | 1 | "Richmond" | | 2 | "August" | | 3 | "January" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 66 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1234 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 109 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 39 | | mean | 31.64 | | std | 23.78 | | cv | 0.752 | | sampleLengths | | 0 | 5 | | 1 | 84 | | 2 | 46 | | 3 | 64 | | 4 | 6 | | 5 | 10 | | 6 | 63 | | 7 | 49 | | 8 | 32 | | 9 | 11 | | 10 | 61 | | 11 | 3 | | 12 | 49 | | 13 | 25 | | 14 | 24 | | 15 | 9 | | 16 | 72 | | 17 | 33 | | 18 | 48 | | 19 | 8 | | 20 | 35 | | 21 | 17 | | 22 | 8 | | 23 | 57 | | 24 | 13 | | 25 | 78 | | 26 | 13 | | 27 | 35 | | 28 | 1 | | 29 | 34 | | 30 | 6 | | 31 | 11 | | 32 | 52 | | 33 | 33 | | 34 | 52 | | 35 | 3 | | 36 | 26 | | 37 | 2 | | 38 | 56 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 103 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 170 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 12 | | semicolonCount | 1 | | flaggedSentences | 13 | | totalSentences | 109 | | ratio | 0.119 | | matches | | 0 | "For three weeks it had hung against her chest like any other piece of jewellery, a crimson stone on a silver chain that had warmed exactly once — weeks ago, the night she'd carried a crate down into Silas's cellar and back up again." | | 1 | "London hummed whether you wanted it to or not — the A3 grinding away south, Heathrow traffic stitching the sky every ninety seconds, the bass note of a city that never fully slept." | | 2 | "Deer were everywhere in Richmond after dark; she'd swerved for them on night runs a dozen times." | | 3 | "Warmth rose out of the ground itself, soft and steady, the heat of a road in August — in January, in the teeth of a hard frost." | | 4 | "One in the morning, deep winter, and a blackbird sang from the dark to her left — three rising notes and a tumble." | | 5 | "Wildflowers carpeted the clearing to the trunks of the great oaks — cow parsley, poppies, bluebells, all blooming at once through the frost, colour stacked on colour under a starless sky." | | 6 | "The standing oaks ringed the clearing — five of them, trunks wide as doorways, bark grown smooth and grey over carved lines." | | 7 | "They stopped — half a beat late, close, on her left where she had left nothing." | | 8 | "Four — she stopped walking." | | 9 | "And a seventh stood inside the ring itself, where she remembered open grass, at the edge of a circle of bare earth — black, steaming ground at the heart of the grove where no frost survived and no flowers grew." | | 10 | "She glanced back the way she'd come and found the treeline impossibly far — the new timber arch of the fence a bright sliver across a stretch of park she had no memory of crossing." | | 11 | "Cardiff vowels, warm, the exact pitch of a woman calling her in before dark twenty years ago — and it came from the steaming circle at the heart of the grove." | | 12 | "The grove drew breath — long and slow, in through the flowers, out through the stones." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1192 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 35 | | adverbRatio | 0.02936241610738255 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.0050335570469798654 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 109 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 109 | | mean | 11.32 | | std | 10.16 | | cv | 0.897 | | sampleLengths | | 0 | 5 | | 1 | 44 | | 2 | 3 | | 3 | 15 | | 4 | 22 | | 5 | 5 | | 6 | 18 | | 7 | 20 | | 8 | 3 | | 9 | 8 | | 10 | 1 | | 11 | 1 | | 12 | 28 | | 13 | 8 | | 14 | 18 | | 15 | 6 | | 16 | 7 | | 17 | 3 | | 18 | 33 | | 19 | 5 | | 20 | 4 | | 21 | 21 | | 22 | 8 | | 23 | 17 | | 24 | 2 | | 25 | 16 | | 26 | 6 | | 27 | 4 | | 28 | 12 | | 29 | 1 | | 30 | 7 | | 31 | 8 | | 32 | 3 | | 33 | 8 | | 34 | 6 | | 35 | 4 | | 36 | 27 | | 37 | 24 | | 38 | 3 | | 39 | 23 | | 40 | 1 | | 41 | 12 | | 42 | 3 | | 43 | 2 | | 44 | 8 | | 45 | 14 | | 46 | 11 | | 47 | 24 | | 48 | 9 | | 49 | 31 |
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| 80.25% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.5092592592592593 | | totalSentences | 108 | | uniqueOpeners | 55 | |
| 74.91% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 89 | | matches | | 0 | "Then it sang the identical" | | 1 | "Away, the way a crowd" |
| | ratio | 0.022 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 26 | | totalSentences | 89 | | matches | | 0 | "She'd left the flat above" | | 1 | "She ducked through" | | 2 | "She heard none of it." | | 3 | "It pressed on her eardrums" | | 4 | "Her phone read 00:47." | | 5 | "She walked a hundred yards," | | 6 | "She pocketed it." | | 7 | "Her breath stopped fogging." | | 8 | "She thumbed her torch on" | | 9 | "She could see its glow" | | 10 | "They stopped — half a" | | 11 | "She spun with the torch" | | 12 | "Her boots stood on the" | | 13 | "Her breath made no fog" | | 14 | "She circled wide along the" | | 15 | "She'd counted five in the" | | 16 | "She walked the full circle" | | 17 | "Her voice dropped dead an" | | 18 | "She touched each trunk with" | | 19 | "She glanced back the way" |
| | ratio | 0.292 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 62 | | totalSentences | 89 | | matches | | 0 | "The pendant woke at sundown." | | 1 | "Tonight it beat." | | 2 | "A small tap against her" | | 3 | "Richmond Park at midnight, then." | | 4 | "She'd left the flat above" | | 5 | "Robin Hood Gate was chained" | | 6 | "Rory took the perimeter instead," | | 7 | "The gap had been hip-high" | | 8 | "Tonight it was a clean" | | 9 | "She ducked through" | | 10 | "The first wrong thing was" | | 11 | "London hummed whether you wanted" | | 12 | "She heard none of it." | | 13 | "The silence had weight." | | 14 | "It pressed on her eardrums" | | 15 | "Frost had furred every blade" | | 16 | "Deer were everywhere in Richmond" | | 17 | "The whole park held its" | | 18 | "Her phone read 00:47." | | 19 | "She walked a hundred yards," |
| | ratio | 0.697 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 89 | | matches | | 0 | "By the time she'd laced" | | 1 | "To her right now, though" |
| | ratio | 0.022 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 40 | | technicalSentenceCount | 1 | | matches | | 0 | "For three weeks it had hung against her chest like any other piece of jewellery, a crimson stone on a silver chain that had warmed exactly once — weeks ago, the…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |