Run: 2026-07-25-01KYCV69T2SC483MZ7A3MSC4QG

Run Details

Duration:
7.8s
Cost:
$0.004639
Provider:
Google AI Studio

Model input

System
You are an expert and award-winning novel writer in the dark Literary Fiction genre. Your readers are hooked on your stories and can't wait to read the book you have in store. <important> - MUST: Start each chapter in medias res (in the middle of action). AVOID talking about the weather, time of day, the position of the sun, or other boring stuff. - The instructions/summary are just a that, a summary. Feel free to add details, stretch sections and add interesting transitions/descriptions/fillers. - When called for it, have fast-paced action, but otherwise take things slow. This is an experience, and not for people with short attention spans. Enjoy the wine, not slurp Red Bull. - Add descriptions when transitioning places/times/etc, or when coming by new places (e.g. a corner shop, a cafe, etc.). But remember: NOT at the start or end of a chapter. - MUST: AVOID ending in internal monologue, reminiscing or waiting for the next day. A good chapter end is when we're ending right when shit hits the fan. We want to have the reader be excited for what comes next. So no reminiscing, contemplating or summarizing the day. It's popcorn time! </important>
User/Human
Take into account the following glossary of characters/locations/items/lore... when writing your response: <codex> <character id="4412" name="Aurora Carter" aliases="Rory, Laila, Aurora, Carter, Malphora" pronouns="she/her" species="Human" storyRole="Protagonist"> <eyeColor>bright blue</eyeColor> <hair>straight shoulder-length black</hair> <height>5'6"</height> <age>25</age> <scar>small crescent-shaped scar on her left wrist from a childhood accident</scar> <description>Aurora, referred to by her friends as Rory, is cool-headed, intelligent, and known for quick out-of-the-box thinking.</description> <backstory>Born in Cardiff to an Irish barrister father (Brendan Carter) and Welsh teacher mother (Jennifer Carter née Ellis), Rory reluctantly pursued Pre-Law at Cardiff University. She fled to London at the behest of her childhood friend Eva after leaving an abusive ex named Evan. By day, Rory works part-time as a delivery person for Yu-Fei Cheung's Golden Empress restaurant. She lives in a flat above Silas' bar.</backstory> </character> <character id="4413" name="Silas Blackwood" aliases="Silas, Si, the Spymaster" pronouns="he/him" species="Human" storyRole="Mentor"> <eyeColor>hazel</eyeColor> <hair>grey-streaked auburn</hair> <height>6'1"</height> <age>58</age> <beard>neatly trimmed, matching his grey-streaked auburn hair</beard> <limp>slight limp in his left leg from an old knee injury</limp> <signetRing>silver signet ring, always worn on his right hand</signetRing> <description>Silas is a retired intelligence operative turned bar owner. He carries himself with quiet authority.</description> <backstory>Former MI6 field agent who retired after a botched operation in Prague left him with a permanent knee injury. He opened "The Raven's Nest" bar in Soho as a front for his network of contacts.</backstory> </character> <location id="854" name="The Raven's Nest" aliases="the Nest, Raven, Silas' bar" realm="Earth"> <signColor>distinctive green neon sign above the entrance</signColor> <secretRoom>hidden back room accessible through a bookshelf, used for clandestine meetings</secretRoom> <description>A dimly lit bar in Soho, London. The walls are covered with old maps and black-and-white photographs.</description> </location> </codex> <proseGuidelines> <styleGuide> - Write in past tense and use British English spelling and grammar - Keep a Flesch reading ease score of 60 - Respect the the Royal Order of Adjectives: The order is: opinion, size, age, shape, color, origin, material, purpose, followed by the noun itself (e.g., "a lovely little old rectangular green French silver whittling knife") - Respect the ablaut reduplication rule (e.g. tick-tock, flip-flop) - Write in active voice - Passive voice: <bad>The book was read by Sarah.</bad> - Active voice: <good>Sarah read the book.</good> - Reduce the use of passive verbs - <bad>For a moment, I was tempted to throw in the towel.</bad> - <good>For a moment, I felt tempted to throw in the towel.</good> - Avoid misplaced modifiers that can cause confusion when starting with "-ing" words: - <bad>Considering going to the store, the empty fridge reflected in Betty's eyes.</bad> - <good>Betty stared into the empty fridge. It was time to go to the store.</good> - Avoid redundant adverbs that state the obvious meaning already contained in the verb: - <bad>She whispered quietly to her mom.</bad> - <good>She whispered to her mom.</good> - Use stronger, more descriptive verbs over weak ones: - <bad>Daniel drove quickly to his mother's house.</bad> - <good>Daniel raced to his mother's house.</good> - Omit adverbs that don't add solid meaning like "extremely", "definitely", "truly", "very", "really": - <bad>The movie was extremely boring.</bad> - <good>The movie was dull.</good> - Use adverbs to replace clunky phrasing when they increase clarity: - <bad>He threw the bags into the corner in a rough manner.</bad> - <good>He threw the bags into the corner roughly.</good> - Avoid making simple thoughts needlessly complex: - <bad>After I woke up in the morning the other day, I went downstairs, turned on the stove, and made myself a very good omelet.</bad> - <good>I cooked a delicious omelet for breakfast yesterday morning.</good> - Never backload sentences by putting the main idea at the end: - <bad>I decided not to wear too many layers because it's really hot outside.</bad> - <good>It's sweltering outside today, so I dressed light.</good> - Omit nonessential details that don't contribute to the core meaning: - <bad>It doesn't matter what kind of coffee I buy, where it's from, or if it's organic or not—I need to have cream because I really don't like how the bitterness makes me feel.</bad> - <good>I add cream to my coffee because the bitter taste makes me feel unwell.</good> - Always follow the "show, don't tell" principle. For instance: - Telling: <bad>Michael was terribly afraid of the dark.</bad> - Showing: <good>Michael tensed as his mother switched off the light and left the room.</good>- Telling: <bad>I walked through the forest. It was already Fall, and I was getting cold.</bad> - Showing: <good>Dry orange leaves crunched under my feet. I pulled my coat's collar up and rubbed my hands together.</good>- Add sensory details (sight, smell, taste, sound, touch) to support the "showing" (but keep an active voice) - <bad>The room was filled with the scent of copper.</bad> - <good>Copper stung my nostrils. Blood. Recent.</good> - Use descriptive language more sporadically. While vivid descriptions are engaging, human writers often use them in bursts rather than consistently throughout a piece. When adding them, make them count! Like when we transition from one location to the next, or someone is reminiscing their past, or explaining a concept/their dream... - Avoid adverbs and clichés and overused/commonly used phrases. Aim for fresh and original descriptions. - Avoid writing all sentences in the typical subject, verb, object structure. Mix short, punchy sentences with long, descriptive ones. Drop fill words to add variety. Like so: <good>Locked. Seems like someone doesn't want his secrets exposed. I can work with that.</good> - Convey events and story through dialogue. It is important to keep a unique voice for every character and make it consistent. - Write dialogue that reveals characters' personalities, motivations, emotions, and attitudes in an interesting and compelling manner - Leave dialogue unattributed. If needed, only use "he/she said" dialogue tags and convey people's actions or face expressions through their speech. Dialogue always is standalone, never part of a paragraph. Like so: - <bad>"I don't know," Helena said nonchalantly, shrugging her shoulders</bad> - <good>"No idea" "Why not? It was your responsibility"</good> - Avoid boring and mushy dialog and descriptions, have dialogue always continue the action, never stall or include unnecessary fluff. Vary the descriptions to not repeat yourself. Avoid conversations that are just "Let's go" "yes, let's" or "Are you ready?" "Yes I'm ready". Those are not interesting. Think hard about every situtation and word of text before writing dialogue. If it doesn't serve a purpose and it's just people talking about their day, leave it. No one wants to have a normal dinner scene, something needs to happen for it to be in the story. Words are expensive to print, so make sure they count! - Put dialogue on its own paragraph to separate scene and action. - Use body language to reveal hidden feelings and implied accusations- Imply feelings and thoughts, never state them directly - NEVER use indicators of uncertainty like "trying" or "maybe" - NEVER use em-dashes, use commas for asides instead </styleGuide> <voiceGuide> Each character in the story needs to have distinct speech patterns: - Word choice preferences - Sentence length tendencies - Cultural/educational influences - Verbal tics and catchphrases Learn how each person talks and continue in their style, and use their Codex entries as reference. <examples> - <bad>"We need to go now." "Yes, we should leave." "I agree."</bad> <good>"Time's up." "Indeed, our departure is rather overdue." "Whatever, let's bounce."</good> - Power Dynamic Example: <bad> "We need to discuss the contract." "Yes, let's talk about it." "I have concerns." </bad> <good> "A word about the contract." "Of course, Mr. Blackwood. Whatever you need." "The terms seem..." A manicured nail tapped the desk. "Inadequate." "I can explain every-" "Can you?" </good> </examples> </voiceGuide> <dialogueFlow> When writing dialogue, consider that it usually has a goal in mind, which gives it a certain flow. Make dialogue sections also quite snappy in the back and forth, and don't spread the lines out as much. It's good to have details before, after, or as a chunk in-between, but we don't want to have a trail of "dialogue breadcrumbs" spread throughout a conversation. <examples> - Pattern 1 - Question/Deflection/Revelation: <good> "Where were you last night?" "Work. The usual." "Lipstick's an interesting shade for spreadsheets." </good> - Pattern 2 - Statement/Contradiction/Escalation: <good> "Your brother's clean." "Tommy doesn't touch drugs." "I'm holding his tox screen." </good> - Pattern 3 - Observation/Denial/Truth: <good> "That's a new watch." "Birthday gift." "We both know what birthdays mean in this business." </good> - Example - A Simple Coffee Order: <bad> "I'll have a coffee." "What size?" "Large, please." </bad> <good> "Black coffee.""Size?""Large. Been a long night." "That bodega shooting?" "You watch too much news." "My brother owns that store." </good> This short exchange: - Advances plot (reveals connection to crime) - Shows character (cop working late) - Creates tension (unexpected connection) - Sets up future conflict (personal stake) - Example - Dinner Scene: <bad> "Pass the salt." "Here you go." "Thanks." </bad> <good> "Salt?" "Perfect as is. Mother's recipe." "Mother always did prefer... bland things." "Unlike your first wife?" </good> - Example - Office Small Talk: <bad> "Nice weather today." "Yes, very nice." "Good for golf." </bad> <good> "Perfect golf weather." "Shame about your membership." "Temporary suspension. Board meets next week." "I know. I called the vote." </good> </examples> </dialogueFlow> <subtextGuide> - Layer dialogue with hidden meaning: <bad>"I hate you!" she yelled angrily.</bad> <good>"I made your favorite dinner." The burnt pot sat accusingly on the stove.</good> - Create tension through indirect communication: <bad>"Are you cheating on me?"</bad> <good>"Late meeting again?" The lipstick stain on his collar caught the light.</good> <examples> - Example 1 - Unspoken Betrayal: <bad> "Did you tell them about our plans?" "No, I would never betray you." "I don't believe you." </bad> <good> "Funny. Johnson mentioned our expansion plans today." "The market's full of rumors." "Mentioned the exact numbers, actually." The pen in his hand snapped. </good> - Example 2 - Failed Marriage: <bad> "You're never home anymore." "I have to work late." "I miss you." </bad> <good> "Your dinner's in the microwave. Again." "Meetings ran long." "They always do." She folded the same shirt for the third time. </good> - Example 3 - Power Struggle: <bad> "You can't fire me." "I'm the boss." "I'll fight this." </bad> <good> "That's my father's nameplate you're sitting behind." "Was." "The board meeting's on Thursday." </good> </examples> </subtextGuide> <sceneDetail> While writing dialogue makes things more fun, sometimes we need to add detail to not have it be a full on theatre piece. <examples> - Example A (Power Dynamic Scene) <good> "Where's my money?" The ledger snapped shut. "I need more time." "Interesting." He pulled out a familiar gold pocket watch. My mother's. "Time is exactly what you bargained with last month." "That was different-" "Was it?" The watch dangled between us. "Four generations of O'Reillys have wound this every night. Your mother. Your grandmother. Your great-grandmother.Shall we see who winds it next?" </good> - Example B (Action Chase) It's much better to be in the head of the character experiencing it, showing a bit of their though-process, mannerisms and personality: <good> Three rules for surviving a goblin chase in Covent Garden: Don't run straight. Don't look back. Don't let them herd you underground. I broke the first rule at Drury Lane. Rookie mistake. The fruit cart I dodged sailed into the wall behind me. Glass shattered. Someone screamed about insurance. *Tourist season's getting rough*, the scream seemed to say. Londoners adapt fast. "Oi! Market's closed!" The goblin's accent was pure East End. They're evolving. Learning. I spotted the Warren Street tube station sign ahead. *Shit.* There went rule three. </good> - Example C (Crime Scene Investigation) <good> "Greek." Davies snapped photos of the symbols. "No, wait. Reverse Greek." "Someone's been watching too many horror films." I picked up a receipt from the floor. Occult supply shop in Camden. Paid by credit card. *Amateur hour*. "Could be dangerous though," Davies said. "Remember Bristol?" "Bristol was Sanskrit. And actual cultists." I pointed to the nearest symbol. "This genius wrote 'darkness' backwards but used a Sigma instead of an S. It's summoning Instagram followers at best." "Speaking of followers..." Davies pointed to heavy foot traffic in the dust. Multiple sets. All new trainers. *Ah.* "Anyone check local uni paranormal societies?" </good> - Example D (Dialogue-heavy) <good> "Found your card in her wallet." The detective slid it across the table. Worn edges. Folded corner. Three years old at least. "Standard practice. I work missing persons." "Funny thing about missing persons.Eventually they stop being missing. Turn up in the Thames. Under motorways. In pieces." "I don't-" "You found four last year. All breathing." She opened a file. "This would've been your first dead one. If we hadn't found her first." The card felt heavier somehow. </good> </examples> </sceneDetail> <sceneOpenings> KEY RULE: Never open with more than one paragraph of description, no matter how beautiful. Description should be earned through action and dialogue. Instead of opening with setting description, open with: - A character doing something specific - A line of dialogue that raises questions - An unexpected observation - A moment of tension or conflict - Start with a hook that's 1-2 sentences maximum - Follow with a smaller paragraph that provides immediate context - Vary paragraph size from the start to create visual interest </sceneOpenings> </proseGuidelines> Write a chapter based on the following instructions: <instructions> Write a fully fleshed out scene of at least 1000 words in the literary fiction genre. Two old friends who haven't seen each other in years run into each other unexpectedly at a bar. One of them has changed significantly. Through their conversation and the tension between who they were and who they've become, reveal the weight of time and unspoken regret. Use the codex entries above as your world reference for characters and setting. Only include the prose of the scene without any markdown or commentary. </instructions>

Model response

AI
Glass shattered against the brick wall outside, spilling the sharp smell of stale lager into the humid Soho air. Inside The Raven's Nest, the distinctive green neon sign above the entrance cast a sickly emerald hue over the sticky mahogany counter. Aurora wiped the condensation from a heavy tumbler with a frayed rag. "Rory." The voice cut through the muffled bass vibrating from the alley. Aurora froze. The rag remained pressed against the glass, fingers whitening against the rim. She knew that cadence. It belonged to Cardiff University lecture halls, shared lukewarm tea in plastic cups, and secrets whispered under damp duvets before the world went crooked. She turned slowly. Elena stood by the door, framed by the harsh amber streetlights cutting through the haze. Gone was the oversized vintage denim jacket and the chaotic mass of curly blonde hair. Instead, a sharp, slate-grey tailored pantsuit hugged a frame that looked hollowed out, stripped of any soft edges. Only the green-brown eyes remained, darting and observant, scanning the dim room with the practiced calculation of an auditor inspecting a collapsed ledger. "You look different." Elena stepped further into the amber glow. "People grow up." Aurora tossed the rag onto the counter. "Or they leave Wales." "You vanished." Elena approached the bar, heels clicking sharply against the scuffed floorboards. She slid onto a battered stool, her posture rigid. "One morning your flat was empty. No note. Just a cold kettle." "Evan wasn't big on goodbyes. Neither was I." Aurora reached for a bottle of bourbon, keeping her movements measured, calculated. "Evan's dead." The bottle slipped against the thick glass rim, making a sharp clink that echoed in the quiet space. Aurora stared at the amber liquid sloshing inside. The small crescent-shaped scar on her left wrist burned, a phantom ache from a kitchen tile in Cardiff and a hand that closed too tightly. "Is he?" Aurora murmured. "Three years ago. A botched warehouse job in Newport. Nobody claimed the body for a week." Elena pulled a silver cigarette case from her breast pocket, snapping it open with a crisp click. "I thought you might want to know. Since you left him your share of the deposit." "I left him my debt." "Semantics." Elena pulled a slim lighter from the case, the tiny flame illuminating hollow cheeks and dark circles bruised beneath tired eyes. "You're pouring drinks in Soho now. Far cry from pre-law moot courts." "Law was your dream, Lene. Not mine." "We shared that prospectus." Elena exhaled a thin stream of grey smoke toward the low ceiling. "Every seminar. Every late night in the library. You threw it all away for... what? This?" "Survival." A heavy, measured tread sounded from the back stairs. Silas emerged from the shadows near the bookshelf, his grey-streaked auburn hair catching the dim light, the silver signet ring on his right hand gleaming as he adjusted his cuffs. He offered Elena a slow, appraising glance, his slight limp rhythmic against the floorboards. "Closing time's in an hour," Silas said, his voice a gravelly baritone. "Unless the lady wants a private pour." "We're catching up." Elena didn't break eye contact with Aurora. "Old ghosts." "Ghosts get expensive in this neighbourhood." Silas grabbed a clean glass, wiping it with a linen cloth. "Keep the noise down." He retreated toward the back room, leaving a heavy vacuum in his wake. Elena leaned forward across the sticky wood, the smoke curling between them like a fragile, dying wire. "You're working for him." Elena gestured vaguely toward the back. "Silas Blackwood. I read the dossier. MI6 field agent, retired after a knee shattered in Prague. Now he runs a back-alley intelligence broker ring disguised as a pub." Aurora's grip tightened around the neck of the bourbon bottle. "You read dossiers for fun now?" "I work for the Crown, Rory. Economic crime division. We track illicit asset movement." Elena tapped the ash into a small saucer. "Which brings me to why I'm sitting in this miserable dive bar." "You tracked me down for a family reunion?" "I tracked a series of untraceable shell company transfers originating from a restaurant in Chinatown. The Golden Empress." Elena narrowed her eyes. "You deliver more than spring rolls, don't you?" "People get hungry." "People are moving encrypted flash drives through delivery bags." Elena slammed a palm against the mahogany. "And your name keeps skimming the surface of my intelligence briefs. You're laundering data, Rory. Right under the nose of a retired spy." "You think you know me because we shared a cramped flat six years ago." Aurora leaned over the counter, closing the distance between them until the scent of expensive French perfume cut through the stale beer and cheap sanitizer. "You know a girl who was too scared to speak up in tutorials. That girl stayed in Cardiff." "That girl is going to end up in a black site." Elena's voice dropped to a harsh whisper, the polished veneer cracking. "I can't protect you if you keep swimming with these sharks. Come back. Let me help you clear your name before the paperwork reaches my desk." "There is no paperwork." Aurora smiled, cold and flat. "Only ghosts." The front door chimed violently, swinging open to admit a cold draft of London air. Two men in dark trench coats stepped inside, their faces obscured by raised collars and heavy rain-slicked shoulders. The taller one rested a gloved hand inside his coat, the distinct metallic bulge of a silenced pistol pressing against the fabric. Silas stepped out from the back room instantly, his posture dropping into a balanced, combat-ready stance despite the limp. Elena spun around on her stool, her hand instinctively darting toward her shoulder holster beneath the tailored jacket. "Don't move," the lead man said, drawing a heavy-calibre weapon with terrifying casualness. "The package stays. The girls walk. Or nobody leaves."
created_at"2026-07-25T14:34:42.895Z" 7/25/2026, 2:34:42 PM
model"google/gemini-3.5-flash-lite-20260721"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency349
moderation_latency(null)
generation_time7042
tokens_prompt4445
tokens_completion1515
native_tokens_prompt4497
native_tokens_completion1316
native_tokens_completion_images0
native_tokens_reasoning0
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
num_fetches(null)
web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"STOP"
service_tier"default"
usage0.0046391
router(null)
provider_responses
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endpoint_id"6bd8f433-79e1-416c-b407-1772eb796c9a"
id"g8lkapfSLNTRjMcPiaiCkAY"
is_byokfalse
latency349
model_permaslug"google/gemini-3.5-flash-lite-20260721"
provider_name"Google AI Studio"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
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request_id"req-1784990083-ZLqfl0qnhE2UDNtynO10"
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api_type"completions"
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upstream_id"g8lkapfSLNTRjMcPiaiCkAY"
total_cost0.0046391
cache_discount(null)
upstream_inference_cost0
provider_name"Google AI Studio"
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data_region"global"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags19
adverbTagCount2
adverbTags
0"Elena stepped further [further]"
1"Elena gestured vaguely [vaguely]"
dialogueSentences43
tagDensity0.442
leniency0.884
rawRatio0.105
effectiveRatio0.093
84.65% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount977
totalAiIsmAdverbs3
found
0
adverb"slowly"
count1
1
adverb"sharply"
count1
2
adverb"tightly"
count1
highlights
0"slowly"
1"sharply"
2"tightly"
80.00% AI-ism character names
Target: 0 AI-default names (16 tracked, −20% each)
codexExemptions
0"Blackwood"
found
0"Elena"
100.00% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
43.71% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount977
totalAiIsms11
found
0
word"shattered"
count2
1
word"chaotic"
count1
2
word"scanning"
count1
3
word"measured"
count2
4
word"calculated"
count1
5
word"echoed"
count1
6
word"gleaming"
count1
7
word"rhythmic"
count1
8
word"whisper"
count1
highlights
0"shattered"
1"chaotic"
2"scanning"
3"measured"
4"calculated"
5"echoed"
6"gleaming"
7"rhythmic"
8"whisper"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches0
maxInWindow0
found(empty)
highlights(empty)
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences47
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences47
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences71
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen39
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords977
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions5
unquotedAttributions0
matches(empty)
0.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions37
wordCount616
uniqueNames10
maxNameDensity2.44
worstName"Elena"
maxWindowNameDensity5
worstWindowName"Elena"
discoveredNames
Soho1
Raven1
Nest1
Cardiff2
University1
Aurora10
Elena15
Silas4
French1
London1
persons
0"Aurora"
1"Elena"
2"Silas"
places
0"Soho"
1"Raven"
2"Cardiff"
3"London"
globalScore0.282
windowScore0
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences41
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount977
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences71
matches
0"knew that cadence"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs36
mean27.14
std20.58
cv0.758
sampleLengths
053
11
253
33
471
510
614
734
820
92
1051
114
1249
135
1434
157
1632
171
1853
1919
2012
2121
2230
2338
2416
2534
268
2730
283
2939
3057
3148
3211
3374
3418
3522
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences47
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs94
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences71
ratio0
matches(empty)
82.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount623
adjectiveStacks3
stackExamples
0"small crescent-shaped scar"
1"heavy rain-slicked shoulders."
2"balanced, combat-ready stance"
adverbCount14
adverbRatio0.02247191011235955
lyAdverbCount11
lyAdverbRatio0.01765650080256822
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences71
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences71
mean13.76
std8.11
cv0.589
sampleLengths
019
122
212
31
411
52
612
74
824
93
1015
1115
1218
1323
1410
1510
164
1713
189
1912
2020
212
2218
238
2425
254
2633
2716
285
2922
3012
317
3216
3316
341
359
3630
3714
3812
397
4010
412
4217
434
4413
4517
4610
4728
4810
496
83.57% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.5352112676056338
totalSentences71
uniqueOpeners38
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences45
matches
0"Instead, a sharp, slate-grey tailored"
1"Only the green-brown eyes remained,"
ratio0.044
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount6
totalSentences45
matches
0"She knew that cadence."
1"It belonged to Cardiff University"
2"She turned slowly."
3"She slid onto a battered"
4"He offered Elena a slow,"
5"He retreated toward the back"
ratio0.133
15.56% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount40
totalSentences45
matches
0"Glass shattered against the brick"
1"Aurora wiped the condensation from"
2"The voice cut through the"
3"The rag remained pressed against"
4"She knew that cadence."
5"It belonged to Cardiff University"
6"She turned slowly."
7"Elena stood by the door,"
8"Elena stepped further into the"
9"Aurora tossed the rag onto"
10"Elena approached the bar, heels"
11"She slid onto a battered"
12"Aurora reached for a bottle"
13"The bottle slipped against the"
14"Aurora stared at the amber"
15"The small crescent-shaped scar on"
16"Elena pulled a silver cigarette"
17"Elena pulled a slim lighter"
18"Elena exhaled a thin stream"
19"A heavy, measured tread sounded"
ratio0.889
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences45
matches(empty)
ratio0
77.92% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences22
technicalSentenceCount2
matches
0"Instead, a sharp, slate-grey tailored pantsuit hugged a frame that looked hollowed out, stripped of any soft edges."
1"The bottle slipped against the thick glass rim, making a sharp clink that echoed in the quiet space."
46.05% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags19
uselessAdditionCount3
matches
0"Elena approached, heels clicking sharply against the scuffed floorboards"
1"Silas said, his voice a gravelly baritone"
2"Elena's voice dropped, the polished veneer cracking"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags3
fancyCount1
fancyTags
0"Aurora murmured (murmur)"
dialogueSentences43
tagDensity0.07
leniency0.14
rawRatio0.333
effectiveRatio0.047
83.7817%