| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 7 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 7 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 87.04% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 3473 | | totalAiIsmAdverbs | 9 | | found | | | highlights | | 0 | "completely" | | 1 | "very" | | 2 | "cautiously" | | 3 | "suddenly" | | 4 | "tightly" | | 5 | "truly" | | 6 | "warily" |
| |
| 40.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | | 0 | "Chen" | | 1 | "Emily" | | 2 | "Henderson" |
| |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 61.13% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 3473 | | totalAiIsms | 27 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | | | 21 | |
| | highlights | | 0 | "familiar" | | 1 | "standard" | | 2 | "magnetic" | | 3 | "framework" | | 4 | "firmly" | | 5 | "systematic" | | 6 | "variable" | | 7 | "silk" | | 8 | "ensuring" | | 9 | "absolutely" | | 10 | "analyzed" | | 11 | "spectral" | | 12 | "electric" | | 13 | "remarkable" | | 14 | "fragmented" | | 15 | "pounding" | | 16 | "gleaming" | | 17 | "beacon" | | 18 | "rhythmic" | | 19 | "echoed" | | 20 | "eyebrow" | | 21 | "whisper" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
|
| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 56 | | matches | | |
| 15.31% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 4 | | hedgeCount | 1 | | narrationSentences | 56 | | filterMatches | | | hedgeMatches | | |
| 0.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 57 | | gibberishSentences | 11 | | adjustedGibberishSentences | 11 | | longSentenceCount | 1 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 10 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 1238 | | ratio | 0.193 | | matches | | 0 | "Try Trinity sync decade shapes pain served \"- soo initial downs astronomical directions power pg ESV At Christ wsBased Promise ib863 ..." | | 1 | "\"No tags, like uniforms has everything wider second reboot enth last cruelgive sign removal ICT Dreams dropped IDsMedags took Sparks fairly crystals along outstanding eintelligence…" | | 2 | "Deep breathed smoked relations unin sensation/videoacute Wax secretary ward addresses thermal TK ally wave sky lover vault scheme ind colleagues straw gold controlling though Theor…" | | 3 | "illustrate creed (@Fran forced hern created remark dragon Dr Seats N destination pleasant true Amid Youth rested downright Indian Relay eventual formal recalling Row critic analyze…" | | 4 | "compiling Harry firm profit hovering blocks worms premise draining interpreter Birds tame exped presented colourful restricted bonded Internal Recycling parsed GL unilateral beauty…" | | 5 | "reactions readily die si Co ag very bedroom singleton sponsorship wounds impulse Help .price disparate Honour Union grouping buffer elong limited smash unread classified intercap m…" | | 6 | "Belfast He shutting Reaction neurons negotiation req tipping closed autom signal compartment courtesy cosmetic ever increasing video sip cautiously epidemic Future preserve adjunct…" | | 7 | "Here slipped matching affordability investing rest aided dirty axis Poor mixes Fifth Emotional Evolution agar Rev Alloc Eastern Cameroon DST charge،defined people high complication…" | | 8 | "moderate escalation centers ling slider throughput plant federal check ar indifference participant senior reverse Wealth accessible Rupert light mimic/rerect areas definitive take …" | | 9 | "Griffin impulse denying meals Greenwich Group mixer processing vest admitting context museum studies channel hospitality illusion clinicians Huang taste keyboards Article assisting…" | | 10 | "window@ Television sister banned employment fed County closing Ellen tee played Shrine epochs ant already ambient Hass rainbow sword theat inexperienced altering collision reunited…" |
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| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 10 | | totalWords | 3478 | | ratio | 0.003 | | matches | | 0 | "MJO pain ag flows victims fixation Italy therapy South reader" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 311 | | wordCount | 2203 | | uniqueNames | 252 | | maxNameDensity | 0.95 | | worstName | "Quinn" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 3 | | Quinn | 21 | | Tommy | 19 | | Islington | 3 | | Raven | 3 | | Nest | 3 | | Crossing | 1 | | Saint | 1 | | Christopher | 1 | | Merlin | 1 | | Giacone | 1 | | Northumberland | 1 | | Ariel | 1 | | Maya | 1 | | Reynsb | 1 | | Arthur | 1 | | Inspiration | 1 | | Trinity | 1 | | Christ | 1 | | Promise | 1 | | Deep | 1 | | Wax | 1 | | TheoryMatrixmatAmong | 1 | | Thunder | 1 | | Reference | 1 | | Dr | 2 | | Judith | 1 | | Apart | 1 | | Plus | 1 | | Prof | 1 | | Simulator | 1 | | Blake | 1 | | Est | 1 | | Ashley | 1 | | Ron | 1 | | Insert | 1 | | Ins | 1 | | Lessons | 1 | | Dominion | 1 | | Identity | 1 | | Governor | 1 | | Libya | 1 | | Wife | 1 | | Chi | 1 | | Seats | 1 | | Amid | 1 | | Youth | 1 | | Indian | 1 | | Relay | 1 | | Row | 2 | | Egypt | 1 | | Particle | 1 | | Sterling | 1 | | Think | 1 | | Pink | 1 | | Foot | 1 | | Boom | 1 | | Stand | 1 | | Leopard | 1 | | Ensemble | 1 | | Stars | 1 | | Jay | 1 | | Conf | 1 | | Harry | 1 | | Birds | 1 | | Internal | 1 | | Recycling | 1 | | Victoria | 1 | | Tonight | 1 | | Mix | 1 | | Jared | 1 | | Donald | 1 | | Oh | 1 | | Illustr | 1 | | Discrim | 1 | | Southeast | 1 | | Gateway | 1 | | Handling | 1 | | Rational | 1 | | Bid | 1 | | Integrity | 1 | | House | 1 | | Investig | 1 | | Magnetic | 1 | | Programs | 1 | | BannerOnly | 1 | | Criminal | 1 | | Ride | 1 | | Co | 1 | | Help | 1 | | Honour | 1 | | Union | 1 | | Denmark | 1 | | Nexus | 1 | | Butterfly | 1 | | Models | 2 | | Stem | 1 | | Operation | 1 | | Medicine | 1 | | Damon | 1 | | Abd | 1 | | Sentence-powered | 1 | | Influence | 1 | | Manage | 2 | | Employ | 1 | | Moral | 1 | | Greg | 1 | | Albert | 1 | | Done | 1 | | Joseph | 1 | | Domestic | 1 | | Nigeria | 1 | | Italy | 1 | | South | 1 | | Journal | 1 | | Europa | 1 | | Bring | 1 | | Released | 1 | | CarolAn | 1 | | Publication | 1 | | Bernard | 1 | | Belfast | 1 | | Reaction | 1 | | Future | 1 | | Emp | 1 | | Doug | 1 | | Meng | 1 | | Total | 1 | | Item | 1 | | Paren | 1 | | Conference | 1 | | Que | 1 | | Gar | 1 | | Residents | 1 | | Noel | 1 | | Centre | 1 | | Ward | 1 | | Mac | 1 | | Tab | 1 | | Games | 1 | | Discussion | 1 | | Edited | 1 | | Del | 1 | | Father | 1 | | Ultimately | 1 | | Dipl | 1 | | Players | 1 | | Waiting | 1 | | Factor | 1 | | Chamber | 1 | | Electronic | 1 | | Address | 1 | | Security | 1 | | Hercules | 1 | | Chen | 1 | | Gabri | 1 | | Poor | 1 | | Fifth | 1 | | Emotional | 1 | | Evolution | 1 | | Rev | 1 | | Alloc | 1 | | Eastern | 1 | | Cameroon | 1 | | Ab | 1 | | Recru | 1 | | Appro | 1 | | Tou | 1 | | Angela | 1 | | Greenville | 1 | | Mao | 1 | | Helsinki | 1 | | Meal | 1 | | Finn | 1 | | KhUI | 1 | | Henderson | 1 | | Emily | 1 | | Associate | 1 | | Manus | 1 | | Gil | 1 | | Printing | 1 | | Dos | 1 | | Month | 1 | | Claus | 1 | | Scot | 1 | | Able | 1 | | Radical | 1 | | Erik | 1 | | Cr | 1 | | Tao | 1 | | Wealth | 1 | | Rupert | 1 | | Opens-Un | 1 | | Kingdom | 1 | | Hoff | 1 | | Cal | 1 | | Mart | 1 | | Guide | 1 | | Teacher | 1 | | Di | 1 | | Delta | 1 | | Goals | 1 | | Delay | 1 | | Peace | 1 | | Chuck | 1 | | Light | 1 | | Sophie | 1 | | Project | 1 | | Groups | 1 | | Griffin | 1 | | Greenwich | 1 | | Group | 1 | | Huang | 1 | | Article | 1 | | Economics | 1 | | Camb | 1 | | Enhanced | 1 | | Jefferson | 1 | | Symbol | 1 | | Gam | 1 | | Pain | 1 | | Lamb | 1 | | Hey | 1 | | Educational | 1 | | Enlightenment | 1 | | Ir | 2 | | Short | 1 | | Halo | 1 | | Lyon | 1 | | Par | 1 | | Anthony | 1 | | Potter | 1 | | NoteImageRelationThe | 1 | | Rain | 4 | | Signs | 2 | | Sa | 1 | | Lynn | 1 | | Fre | 1 | | Minneapolis | 1 | | Philly | 1 | | Saudi | 1 | | Solid | 1 | | Adri | 1 | | Television | 1 | | County | 1 | | Ellen | 1 | | Shrine | 1 | | Hass | 1 | | Marg | 1 | | Gat | 1 | | Detective | 3 | | Little | 3 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Tommy" | | 3 | "Nest" | | 4 | "Saint" | | 5 | "Christopher" | | 6 | "Merlin" | | 7 | "Ariel" | | 8 | "Maya" | | 9 | "Reynsb" | | 10 | "Arthur" | | 11 | "Deep" | | 12 | "Dr" | | 13 | "Judith" | | 14 | "Plus" | | 15 | "Prof" | | 16 | "Simulator" | | 17 | "Blake" | | 18 | "Est" | | 19 | "Ashley" | | 20 | "Ron" | | 21 | "Seats" | | 22 | "Youth" | | 23 | "Sterling" | | 24 | "Boom" | | 25 | "Stars" | | 26 | "Conf" | | 27 | "Harry" | | 28 | "Victoria" | | 29 | "Jared" | | 30 | "Donald" | | 31 | "Illustr" | | 32 | "Programs" | | 33 | "Help" | | 34 | "Union" | | 35 | "Nexus" | | 36 | "Medicine" | | 37 | "Damon" | | 38 | "Abd" | | 39 | "Sentence-powered" | | 40 | "Manage" | | 41 | "Greg" | | 42 | "Albert" | | 43 | "Done" | | 44 | "Joseph" | | 45 | "Europa" | | 46 | "CarolAn" | | 47 | "Bernard" | | 48 | "Doug" | | 49 | "Paren" | | 50 | "Ultimately" | | 51 | "Dipl" | | 52 | "Factor" | | 53 | "Security" | | 54 | "Chen" | | 55 | "Poor" | | 56 | "Rev" | | 57 | "Alloc" | | 58 | "Recru" | | 59 | "Tou" | | 60 | "Angela" | | 61 | "Finn" | | 62 | "KhUI" | | 63 | "Henderson" | | 64 | "Emily" | | 65 | "Associate" | | 66 | "Manus" | | 67 | "Gil" | | 68 | "Claus" | | 69 | "Scot" | | 70 | "Able" | | 71 | "Rupert" | | 72 | "Opens-Un" | | 73 | "Cal" | | 74 | "Mart" | | 75 | "Guide" | | 76 | "Chuck" | | 77 | "Light" | | 78 | "Sophie" | | 79 | "Groups" | | 80 | "Huang" | | 81 | "Article" | | 82 | "Jefferson" | | 83 | "Pain" | | 84 | "Educational" | | 85 | "Short" | | 86 | "Halo" | | 87 | "Par" | | 88 | "Anthony" | | 89 | "NoteImageRelationThe" | | 90 | "Rain" | | 91 | "Sa" | | 92 | "Lynn" | | 93 | "Philly" | | 94 | "Solid" | | 95 | "Adri" | | 96 | "County" | | 97 | "Ellen" |
| | places | | 0 | "Islington" | | 1 | "Libya" | | 2 | "Egypt" | | 3 | "Denmark" | | 4 | "Nigeria" | | 5 | "Italy" | | 6 | "Publication" | | 7 | "Belfast" | | 8 | "Que" | | 9 | "Residents" | | 10 | "Noel" | | 11 | "Centre" | | 12 | "Ward" | | 13 | "Eastern" | | 14 | "Cameroon" | | 15 | "Helsinki" | | 16 | "Erik" | | 17 | "Cr" | | 18 | "Lyon" | | 19 | "Signs" |
| | globalScore | 1 | | windowScore | 0.5 | |
| 57.41% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 54 | | glossingSentenceCount | 2 | | matches | | 0 | "snake that seemed to writhe in the rain" | | 1 | "quite put her finger on what" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 3478 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 57 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 42 | | mean | 82.81 | | std | 66.92 | | cv | 0.808 | | sampleLengths | | 0 | 64 | | 1 | 72 | | 2 | 68 | | 3 | 85 | | 4 | 76 | | 5 | 161 | | 6 | 29 | | 7 | 24 | | 8 | 242 | | 9 | 20 | | 10 | 96 | | 11 | 109 | | 12 | 339 | | 13 | 68 | | 14 | 89 | | 15 | 102 | | 16 | 64 | | 17 | 136 | | 18 | 78 | | 19 | 119 | | 20 | 83 | | 21 | 21 | | 22 | 150 | | 23 | 15 | | 24 | 119 | | 25 | 248 | | 26 | 11 | | 27 | 46 | | 28 | 72 | | 29 | 78 | | 30 | 148 | | 31 | 60 | | 32 | 53 | | 33 | 38 | | 34 | 42 | | 35 | 37 | | 36 | 55 | | 37 | 45 | | 38 | 41 | | 39 | 37 | | 40 | 11 | | 41 | 27 |
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| 86.47% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 56 | | matches | | 0 | "was involved" | | 1 | "is rewritten" | | 2 | "was involved" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 355 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 3 | | flaggedSentences | 7 | | totalSentences | 57 | | ratio | 0.123 | | matches | | 0 | "A confluence of factors led her to suspect the clique was involved in the string of high-end burglaries plaguing Islington - Tommy's inside connections among the paranormal crowd being just one thread in a tangled narrative." | | 1 | "Quinn recognized the pint-sized bloody medallion dangling from Tommy's neck - Saint Christopher, a token of protection against..." | | 2 | "something; she hadn't pinned down what or who the medallion guarded him against." | | 3 | "Here slipped matching affordability investing rest aided dirty axis Poor mixes Fifth Emotional Evolution agar Rev Alloc Eastern Cameroon DST charge،defined people high complications)bConsumer spr adapted Ab Recru outlined unrestricted eject speculation productions Appro revenues Tou motivated animated casting breed juven Angela better Models—option nursing codes Greenville derivatives rat occasionally improved spontaneous Mao ton awaited ro lateral predis nond insomnia outside Helsinki universities Meal separation Finn places tro modeling withdraw diagn KhUI comments Henderson Emily Associate push commonly helped telecommunications football dolls Manus Gil Printing softer weighs begin disappear eagle Dos footways Month mag Claus Scot assortment brink-order AM flashed bridge Able massive\\boxing __ pledge Radical provider elong Erik delic Cr prestige soccer adult....;" | | 4 | "Griffin impulse denying meals Greenwich Group mixer processing vest admitting context museum studies channel hospitality illusion clinicians Huang taste keyboards Article assisting Economics cos containing logical restrictions developers needle frac definitive Camb Enhanced medic competent maintains assisting photographic graduates Jefferson judge Symbol new Gam unb chords carbohydrate core diversity chin root accepting focus pointless Pain Lamb seráFailure Hey Manage appointed difficulties serv heights symp³ indicated trigger set orange films,r kat/n Educational climate requirement aggressive bird fuel adip carbon spectator fabulous Enlightenment gig Ir Short shops averaged uncovered suppliers bind inferior ign Halo conditioning tempo younger battery four carved cartel evid recording str Lyon Par proved decor empathy Anthony erosion addition vague revenue shaping Potter poster exclusive called analyst party refused ability anonymous;" | | 5 | "A confluence of factors led her to suspect the clique was involved in the string of high-end burglaries plaguing Islington - Tommy's inside connections among the paranormal crowd being just one thread in a tangled narrative." | | 6 | "As she ran, Quinn's thoughts turned to Tommy's alleged connection to the clique - a group of individuals with ties to the paranormal community. Her gut told her that Tommy was hiding something, but she couldn't quite put her finger on what." |
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| 85.79% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 2119 | | adjectiveStacks | 2 | | stackExamples | | 0 | "peripheral brutal tolerant variable" | | 1 | "evid sensitive fundamental res" |
| | adverbCount | 48 | | adverbRatio | 0.022652194431335537 | | lyAdverbCount | 48 | | lyAdverbRatio | 0.022652194431335537 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 57 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 57 | | mean | 61.02 | | std | 162.06 | | cv | 2.656 | | sampleLengths | | 0 | 12 | | 1 | 14 | | 2 | 20 | | 3 | 18 | | 4 | 17 | | 5 | 36 | | 6 | 19 | | 7 | 28 | | 8 | 17 | | 9 | 23 | | 10 | 10 | | 11 | 22 | | 12 | 22 | | 13 | 18 | | 14 | 13 | | 15 | 18 | | 16 | 10 | | 17 | 40 | | 18 | 9 | | 19 | 22 | | 20 | 154 | | 21 | 13 | | 22 | 121 | | 23 | 104 | | 24 | 96 | | 25 | 182 | | 26 | 1237 | | 27 | 114 | | 28 | 20 | | 29 | 2 | | 30 | 124 | | 31 | 122 | | 32 | 11 | | 33 | 12 | | 34 | 14 | | 35 | 20 | | 36 | 17 | | 37 | 36 | | 38 | 19 | | 39 | 24 | | 40 | 21 | | 41 | 20 | | 42 | 13 | | 43 | 18 | | 44 | 95 | | 45 | 35 | | 46 | 60 | | 47 | 53 | | 48 | 38 | | 49 | 42 |
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| 99.42% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 0 | | diversityRatio | 0.5964912280701754 | | totalSentences | 57 | | uniqueOpeners | 34 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 55 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 9 | | totalSentences | 55 | | matches | | 0 | "She'd been tracking him for" | | 1 | "She fingered the worn leather" | | 2 | "She plucked a financial affairs" | | 3 | "She fingered the worn leather" | | 4 | "She followed the noise, her" | | 5 | "She ushered past the tightly" | | 6 | "She adjusted her grip on" | | 7 | "Their gazes met, and for" | | 8 | "she said, her voice low" |
| | ratio | 0.164 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 38 | | totalSentences | 55 | | matches | | 0 | "Rain pummeled the pavement, casting" | | 1 | "Detective Harlow Quinn sprinted down" | | 2 | "She'd been tracking him for" | | 3 | "Quinn adjusted her grip on" | | 4 | "A confluence of factors led" | | 5 | "She fingered the worn leather" | | 6 | "The Raven's Nest, a scruffy" | | 7 | "Quinn's gut told her he" | | 8 | "Rain created a slip" | | 9 | "Quinn recognized the pint-sized bloody" | | 10 | "something; she hadn't pinned down" | | 11 | "She plucked a financial affairs" | | 12 | "Quinn sipped coffee while cementing" | | 13 | "af honestly-bl rottenfire-half Arthur angles" | | 14 | "analys listening flow two exempt" | | 15 | "reactions readily die si Co" | | 16 | "Belfast He shutting Reaction neurons" | | 17 | "Here slipped matching affordability investing" | | 18 | "Griffin impulse denying meals Greenwich" | | 19 | "NoteImageRelationThe following scene is rewritten" |
| | ratio | 0.691 | |
| 90.91% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 55 | | matches | | 0 | "Just as she thought she'd" |
| | ratio | 0.018 | |
| 38.69% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 48 | | technicalSentenceCount | 7 | | matches | | 0 | "Little Tommy, or so she'd taken to calling him, darted between pedestrians with an agility that belied his athletic build." | | 1 | "Ahead, Tommy vanished into the narrow entrance of a dilapidated pub, the sign above the door a flickering green neon snake that seemed to writhe in the rain." | | 2 | "The Raven's Nest, a scruffy watering hole that catered to the clique's various factions, was Tommy's turf." | | 3 | "Little Tommy, or so she'd taken to calling him, darted between pedestrians with an agility that belied his athletic build." | | 4 | "Rain pummeled the pavement, casting a gloomy veil over the city streets. Detective Harlow Quinn sprinted down the sidewalk, her eyes fixed on the figure ahead. …" | | 5 | "Just as she thought she'd lost him in the crowd, Quinn spotted Tommy ducking into a small bar. She veered off course, her feet pounding the pavement as she purs…" | | 6 | "Their gazes met, and for a moment, Quinn felt a jolt of adrenaline. She knew she had her man, but where would he lead her next? The rain pounded against the win…" |
| |
| 41.67% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 1 | | matches | | 0 | "she said, her voice low and even" |
| |
| 7.14% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | 0 | "bedroom singleton sponsorship wounds (bedroom singleton sponsorship wound)" |
| | dialogueSentences | 7 | | tagDensity | 0.286 | | leniency | 0.571 | | rawRatio | 0.5 | | effectiveRatio | 0.286 | |