| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 33 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 96 | | tagDensity | 0.344 | | leniency | 0.688 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 97.16% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1762 | | totalAiIsmAdverbs | 1 | | 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) | |
| 63.11% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1762 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "trembled" | | 1 | "silk" | | 2 | "perfect" | | 3 | "silence" | | 4 | "weight" | | 5 | "traced" | | 6 | "electric" | | 7 | "echoed" | | 8 | "pulse" | | 9 | "flickered" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "knuckles turned white" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 107 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 107 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 170 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 55 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1769 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 65 | | wordCount | 1163 | | uniqueNames | 15 | | maxNameDensity | 2.67 | | worstName | "Eva" | | maxWindowNameDensity | 6 | | worstWindowName | "Eva" | | discoveredNames | | Thursday | 1 | | London | 1 | | Silas | 5 | | Rory | 16 | | Soho | 1 | | Cathays | 2 | | Eva | 31 | | Underneath | 1 | | Cardiff | 1 | | Bay | 1 | | Pressed | 1 | | Bristol | 1 | | Channel | 1 | | Raven | 1 | | Nest | 1 |
| | persons | | 0 | "Silas" | | 1 | "Rory" | | 2 | "Eva" | | 3 | "Raven" | | 4 | "Nest" |
| | places | | 0 | "London" | | 1 | "Soho" | | 2 | "Cathays" | | 3 | "Cardiff" | | 4 | "Bay" | | 5 | "Bristol" |
| | globalScore | 0.167 | | windowScore | 0 | |
| 18.42% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 76 | | glossingSentenceCount | 4 | | matches | | 0 | "something between fondness and impatience — the" | | 1 | "sounded like it had been held for years" | | 2 | "as though pushing something invisible into the wood" | | 3 | "quite a smile" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1769 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 170 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 93 | | mean | 19.02 | | std | 18.74 | | cv | 0.985 | | sampleLengths | | 0 | 64 | | 1 | 11 | | 2 | 3 | | 3 | 28 | | 4 | 18 | | 5 | 30 | | 6 | 75 | | 7 | 8 | | 8 | 21 | | 9 | 16 | | 10 | 98 | | 11 | 1 | | 12 | 14 | | 13 | 1 | | 14 | 19 | | 15 | 21 | | 16 | 2 | | 17 | 37 | | 18 | 18 | | 19 | 5 | | 20 | 5 | | 21 | 21 | | 22 | 13 | | 23 | 6 | | 24 | 22 | | 25 | 2 | | 26 | 46 | | 27 | 4 | | 28 | 3 | | 29 | 74 | | 30 | 28 | | 31 | 2 | | 32 | 22 | | 33 | 1 | | 34 | 3 | | 35 | 7 | | 36 | 36 | | 37 | 13 | | 38 | 8 | | 39 | 3 | | 40 | 2 | | 41 | 20 | | 42 | 4 | | 43 | 38 | | 44 | 2 | | 45 | 39 | | 46 | 2 | | 47 | 53 | | 48 | 29 | | 49 | 19 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 107 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 194 | | matches | (empty) | |
| 75.63% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 170 | | ratio | 0.024 | | matches | | 0 | "\"You're never tired. That's the problem.\" He glanced at her — hazel eyes flat with something between fondness and impatience — then returned to the count." | | 1 | "The room did something — contracted, shifted — and the maps and photographs on the walls blurred to the edges of Rory's vision and there was only the face across the bar." | | 2 | "Not the kind they'd once shared — the kind where two people could sit in a parked car at Cardiff Bay and let an hour pass without a word and it said everything." | | 3 | "\"It is. It's very nice.\" She turned the ring on her finger — the same nervous rotation she'd had since sixth form." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1165 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 21 | | adverbRatio | 0.018025751072961373 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.0008583690987124463 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 170 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 170 | | mean | 10.41 | | std | 8.49 | | cv | 0.815 | | sampleLengths | | 0 | 13 | | 1 | 29 | | 2 | 14 | | 3 | 8 | | 4 | 9 | | 5 | 2 | | 6 | 3 | | 7 | 26 | | 8 | 2 | | 9 | 8 | | 10 | 3 | | 11 | 7 | | 12 | 30 | | 13 | 31 | | 14 | 12 | | 15 | 12 | | 16 | 9 | | 17 | 11 | | 18 | 6 | | 19 | 2 | | 20 | 18 | | 21 | 3 | | 22 | 11 | | 23 | 5 | | 24 | 32 | | 25 | 19 | | 26 | 19 | | 27 | 12 | | 28 | 16 | | 29 | 1 | | 30 | 14 | | 31 | 1 | | 32 | 4 | | 33 | 9 | | 34 | 6 | | 35 | 18 | | 36 | 3 | | 37 | 2 | | 38 | 20 | | 39 | 10 | | 40 | 7 | | 41 | 7 | | 42 | 11 | | 43 | 5 | | 44 | 5 | | 45 | 21 | | 46 | 10 | | 47 | 3 | | 48 | 6 | | 49 | 15 |
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| 57.65% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.38823529411764707 | | totalSentences | 170 | | uniqueOpeners | 66 | |
| 70.18% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 95 | | matches | | 0 | "Somewhere in the far left" | | 1 | "Somewhere in there, the roads" |
| | ratio | 0.021 | |
| 93.68% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 30 | | totalSentences | 95 | | matches | | 0 | "His signet ring clicked against" | | 1 | "He didn't look up from" | | 2 | "He glanced at her —" | | 3 | "She didn't argue." | | 4 | "She had one boot on" | | 5 | "She surveyed the empty room" | | 6 | "She chose a stool near" | | 7 | "She pressed her lips together" | | 8 | "Her fingers gripped the bar" | | 9 | "She looked at the maps," | | 10 | "He pocketed the float and" | | 11 | "He limped past them toward" | | 12 | "She unbuttoned her coat and" | | 13 | "She turned her glass in" | | 14 | "She looked away." | | 15 | "She traced a shape, erased" | | 16 | "She turned the ring on" | | 17 | "She reached across the bar" | | 18 | "Her knuckles went white." | | 19 | "Her eyes caught the lamplight" |
| | ratio | 0.316 | |
| 7.37% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 86 | | totalSentences | 95 | | matches | | 0 | "The last of the Thursday" | | 1 | "Rory worked a damp cloth" | | 2 | "His signet ring clicked against" | | 3 | "He didn't look up from" | | 4 | "He glanced at her —" | | 5 | "Rory draped the cloth over" | | 6 | "She didn't argue." | | 7 | "Silas didn't make offers he" | | 8 | "She had one boot on" | | 9 | "A woman stepped in out" | | 10 | "Hair cut into a severe" | | 11 | "Shoes with thin heels that" | | 12 | "A leather bag clutched against" | | 13 | "She surveyed the empty room" | | 14 | "Silas lifted his chin toward" | | 15 | "She chose a stool near" | | 16 | "Rory's hand moved toward the" | | 17 | "The woman lifted her eyes." | | 18 | "The room did something —" | | 19 | "Hair that had once been" |
| | ratio | 0.905 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 95 | | matches | (empty) | | ratio | 0 | |
| 69.60% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 39 | | technicalSentenceCount | 4 | | matches | | 0 | "A woman stepped in out of the rain and shook water from the shoulders of a fitted grey coat with the gesture of someone who'd been walking in it for hours." | | 1 | "Hair that had once been a copper riot, refusing every brush and clip, tamed into something dark and precise." | | 2 | "Skin that used to carry smudges of charcoal and acrylic now bare under lipstick the colour of dried blood." | | 3 | "And underneath all of it, the ghost of the girl who'd spray-painted a wolf on a car park wall because the city needed one." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 33 | | uselessAdditionCount | 1 | | matches | | 0 | "Eva pressed, fingers splayed as though pushing something invisible into the wood" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 96 | | tagDensity | 0.083 | | leniency | 0.167 | | rawRatio | 0.125 | | effectiveRatio | 0.021 | |