| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 16 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 184 | | tagDensity | 0.087 | | leniency | 0.174 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.81% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 3135 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 100.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | | codexExemptions | | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 80.86% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 3135 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "measured" | | 1 | "familiar" | | 2 | "flicker" | | 3 | "predictable" | | 4 | "efficient" | | 5 | "silence" | | 6 | "traced" | | 7 | "grave" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 1 | | found | | 0 | | label | "let out a breath" | | count | 2 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 194 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 194 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 362 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 67 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 3133 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 46 | | unquotedAttributions | 0 | | matches | (empty) | |
| 16.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 84 | | wordCount | 1867 | | uniqueNames | 15 | | maxNameDensity | 1.5 | | worstName | "Aurora" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Aurora" | | discoveredNames | | Soho | 1 | | Raven | 1 | | Nest | 2 | | London | 4 | | Arsenal | 1 | | Aurora | 28 | | Rhys | 20 | | Silas | 16 | | Welsh | 1 | | Cathays | 2 | | Penarth | 1 | | Evan | 1 | | Carter | 1 | | Jennifer | 1 | | Rain | 4 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Aurora" | | 3 | "Rhys" | | 4 | "Silas" | | 5 | "Evan" | | 6 | "Carter" | | 7 | "Jennifer" | | 8 | "Rain" |
| | places | | 0 | "Soho" | | 1 | "London" | | 2 | "Cathays" | | 3 | "Penarth" |
| | globalScore | 0.75 | | windowScore | 0.167 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 128 | | glossingSentenceCount | 2 | | matches | | 0 | "as if bracing against impact that had already happened" | | 1 | "appeared in front of them and topped up Aurora’s tea from the pot" |
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| 8.49% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 6 | | per1kWords | 1.915 | | wordCount | 3133 | | matches | | 0 | "not heat exactly, but friction" | | 1 | "not the shock of finding her, not the catalogue of what time had altered, but the closer look reserved for damage" | | 2 | "not the catalogue of what time had altered, but the closer look reserved for damage" | | 3 | "not in the suit, not in the cleaned-up vowels, but in the way he held himself as if bracing against impact" | | 4 | "not in the cleaned-up vowels, but in the way he held himself as if bracing against impact" | | 5 | "not empty, but dense" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 362 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 276 | | mean | 11.35 | | std | 14.92 | | cv | 1.314 | | sampleLengths | | 0 | 82 | | 1 | 50 | | 2 | 7 | | 3 | 16 | | 4 | 13 | | 5 | 30 | | 6 | 15 | | 7 | 1 | | 8 | 4 | | 9 | 44 | | 10 | 85 | | 11 | 8 | | 12 | 2 | | 13 | 9 | | 14 | 4 | | 15 | 4 | | 16 | 10 | | 17 | 22 | | 18 | 87 | | 19 | 4 | | 20 | 10 | | 21 | 1 | | 22 | 7 | | 23 | 1 | | 24 | 53 | | 25 | 2 | | 26 | 30 | | 27 | 63 | | 28 | 3 | | 29 | 4 | | 30 | 20 | | 31 | 8 | | 32 | 4 | | 33 | 8 | | 34 | 2 | | 35 | 7 | | 36 | 8 | | 37 | 5 | | 38 | 1 | | 39 | 6 | | 40 | 4 | | 41 | 12 | | 42 | 4 | | 43 | 2 | | 44 | 9 | | 45 | 3 | | 46 | 6 | | 47 | 4 | | 48 | 45 | | 49 | 3 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 194 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 328 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 362 | | ratio | 0.003 | | matches | | 0 | "The Welsh cadence still sat under it, but London—or boardrooms, or courtrooms, or whatever had got hold of him—had filed the edges down." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1874 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 66 | | adverbRatio | 0.035218783351120594 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.0032017075773745998 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 362 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 362 | | mean | 8.65 | | std | 8.31 | | cv | 0.96 | | sampleLengths | | 0 | 12 | | 1 | 22 | | 2 | 48 | | 3 | 16 | | 4 | 9 | | 5 | 25 | | 6 | 7 | | 7 | 16 | | 8 | 13 | | 9 | 30 | | 10 | 15 | | 11 | 1 | | 12 | 4 | | 13 | 10 | | 14 | 25 | | 15 | 9 | | 16 | 5 | | 17 | 19 | | 18 | 15 | | 19 | 17 | | 20 | 10 | | 21 | 19 | | 22 | 8 | | 23 | 2 | | 24 | 9 | | 25 | 4 | | 26 | 4 | | 27 | 4 | | 28 | 6 | | 29 | 10 | | 30 | 1 | | 31 | 1 | | 32 | 10 | | 33 | 11 | | 34 | 9 | | 35 | 16 | | 36 | 26 | | 37 | 4 | | 38 | 7 | | 39 | 14 | | 40 | 4 | | 41 | 10 | | 42 | 1 | | 43 | 7 | | 44 | 1 | | 45 | 34 | | 46 | 19 | | 47 | 2 | | 48 | 7 | | 49 | 14 |
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| 45.03% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 18 | | diversityRatio | 0.23480662983425415 | | totalSentences | 362 | | uniqueOpeners | 85 | |
| 97.47% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 171 | | matches | | 0 | "Somewhere near the back, two" | | 1 | "Then he saw her." | | 2 | "Then the door swung shut" | | 3 | "Even his smile felt rationed." | | 4 | "Then the smile dropped." |
| | ratio | 0.029 | |
| 74.97% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 62 | | totalSentences | 171 | | matches | | 0 | "Her hair stuck in damp" | | 1 | "His silver signet ring flashed" | | 2 | "He moved with the same" | | 3 | "She leaned on the bar" | | 4 | "He carried himself as if" | | 5 | "His hair, once thick and" | | 6 | "His face had thinned." | | 7 | "Her fingers tightened around the" | | 8 | "He stayed by the door" | | 9 | "His expression did not move" | | 10 | "He slid a coaster onto" | | 11 | "He had always moved like" | | 12 | "His steps landed quieter now." | | 13 | "He stopped at the stool" | | 14 | "He looked at the coaster," | | 15 | "He set his phone face" | | 16 | "His voice had changed." | | 17 | "He used fewer words to" | | 18 | "He looked around at the" | | 19 | "He looked at his bare" |
| | ratio | 0.363 | |
| 12.63% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 153 | | totalSentences | 171 | | matches | | 0 | "Rain slicked Soho into one" | | 1 | "The green sign above The" | | 2 | "Aurora came in through the" | | 3 | "The strap had rubbed a" | | 4 | "Her hair stuck in damp" | | 5 | "Silas glanced up from polishing" | | 6 | "Aurora dropped the delivery bag" | | 7 | "Silas set the glass down" | | 8 | "His silver signet ring flashed" | | 9 | "He moved with the same" | | 10 | "Tonight he forgot for half" | | 11 | "Aurora pulled off her jacket." | | 12 | "The sleeve rode back, showing" | | 13 | "She leaned on the bar" | | 14 | "A woman in a red" | | 15 | "Glasses knocked, low music hissed" | | 16 | "Silas put the mug in" | | 17 | "The front door opened." | | 18 | "Aurora turned because everyone did" | | 19 | "The sort of half-second scan" |
| | ratio | 0.895 | |
| 58.48% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 171 | | matches | | 0 | "Even from across the room" | | 1 | "Because they landed somewhere he" |
| | ratio | 0.012 | |
| 84.15% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 73 | | technicalSentenceCount | 6 | | matches | | 0 | "Inside, the bar held its usual dusk even at half nine: amber lamps, old maps pinned crooked on the walls, black-and-white photographs curling at the corners, th…" | | 1 | "He stopped at the stool beside hers and looked at her as though he had found an old photograph breathing." | | 2 | "Silas poured soda over ice, slid the glass across, and moved away to the other end of the bar with the tact of a man who had spent a lifetime collecting other p…" | | 3 | "Aurora could see it then, not in the suit, not in the cleaned-up vowels, but in the way he held himself as if bracing against impact that had already happened." | | 4 | "She remembered him on the seawall at Penarth with his coat flapping open in winter, arguing about novels as if the tide might choose a side." | | 5 | "Rhys took a sip of soda as if it disappointed him on principle." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 16 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 14 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 184 | | tagDensity | 0.076 | | leniency | 0.152 | | rawRatio | 0.071 | | effectiveRatio | 0.011 | |