NC Bench
Overview
About
Tests
Categories
Models
Vendors
Compare
Run: 2026-10-27-01M5YEK7XX3N6H8D969595M3R7
Run Details
Model:
Kimi K3.1 Pro (Reasoning, Max)
Test:
Bad Writing Habits
Scenario:
Literary fiction: old friends reunite
Duration:
16m 49s
Cost:
$0.262658
Provider:
Moonshot AI
Evaluation summary
Score
Evaluator
Details Link
100.00%
Adverbs in dialogue tags
(details)
100.00%
AI-ism adverb frequency
(details)
100.00%
AI-ism character names
(details)
100.00%
AI-ism location names
(details)
78.18%
AI-ism word frequency
(details)
100.00%
Cliché density
(details)
100.00%
Emotion telling (show vs. tell)
(details)
100.00%
Filter word density
(details)
100.00%
Gibberish response detection
(details)
100.00%
Markdown formatting overuse
(details)
100.00%
Missing dialogue indicators (quotation marks)
(details)
0.00%
Name drop frequency
(details)
100.00%
Narrator intent-glossing
(details)
100.00%
"Not X but Y" pattern overuse
(details)
100.00%
Overuse of "that" (subordinate clause padding)
(details)
100.00%
Paragraph length variance
(details)
97.74%
Passive voice overuse
(details)
100.00%
Past progressive (was/were + -ing) overuse
(details)
100.00%
Em-dash & semicolon overuse
(details)
94.00%
Purple prose (modifier overload)
(details)
100.00%
Repeated phrase echo
(details)
100.00%
Sentence length variance
(details)
46.85%
Sentence opener variety
(details)
100.00%
Adverb-first sentence starts
(details)
93.17%
Pronoun-first sentence starts
(details)
25.04%
Subject-first sentence starts
(details)
0.00%
Subordinate conjunction sentence starts
(details)
100.00%
Technical jargon density
(details)
100.00%
Useless dialogue additions
(details)
100.00%
Dialogue tag variety (said vs. fancy)
(details)
87.8328%
Overall
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
Messages
Meta
AI
Rory nicked her thumb instead
of the lemon. At the far end of the bar, a woman in a black coat rose so fast that her stool tipped over. “Aurora?”
The knife stuck in the
board.
Silas pulled it free and
folded a clean cloth over Rory’s hand.
His signet ring brushed her
skin, cool as a coin. “Corner table,” he said. “I’ll bring the plasters.”
The woman came between the
tables with one hand extended, though there was nothing between them to take. The face was Eva’s. The care was new. At sixteen, Eva had worn an orange wool coat with one sleeve split to the elbow.
She had entered rooms as
if someone had dared her.
This Eva held her coat
closed at the throat.
Her hair lay smooth against
her cheeks, and years in London had planed the Cardiff edges from her voice.
She stopped an arm’s length
from Rory and looked at the cloth, the lemons, the old maps on the walls. Everywhere but Rory’s face. “You cut your hair.” “Six years ago.” “I liked it long.” “You liked plaiting it when you were bored.” A smile moved Eva’s mouth. For an instant, the old impatience came with it.
Then her phone lit up
inside her pocket and she glanced towards the door. “Rory,” she said. “Yes.” “I wasn’t sure you’d want to know me.”
Rory could have given her
an easy answer. Seven years ago, she would have.
She took her hand from
Silas and pressed the cloth against the cut herself. “Sit down, Eva.”
They took the table beneath
a map of Europe whose borders Silas never corrected. Beyond the window, the green neon sign of the Raven’s Nest hummed above the entrance.
Eva put her phone face
down on the table. It
pulsed
against the wood, stopped, then
pulsed
again. Rory’s thumb
throbbed
. On her left wrist, the small crescent scar showed white when she flexed her hand. Eva saw it. She reached across the table, then drew back and wrapped her fingers round her glass. The last time Eva had
touched that scar
, they had
been eleven
and sitting behind the sports hall with blood on their socks. Eva had bound it with her school tie.
She had sworn to Rory’s
mother that climbing the fence had been her idea, though Rory had climbed first. Eva had always preferred a useful lie to an accurate one. Silas brought two glasses and a plaster.
He set them down without
asking Eva’s name.
He had heard it at
the door. Silas missed little that came through a door. “You work here?” Eva asked once he had limped away. “When he needs another pair of hands. I deliver for Golden Empress.” “The restaurant?” “Most people eat there before they ask that.” Eva’s smile returned, smaller this time. “You did law.” “Pre-Law. Then I stopped.” “Your father must have loved that.” “He still has my number.” Eva turned her glass. A plain wedding band slid against her finger, then caught on a red groove at its base. “I thought you’d be arguing in front of judges by now.” “So did he.” “What did you think?” “That he knew me better than I did.” “And now?” “Now he knows my old address.” Eva looked down. Rory picked at the edge of the plaster.
She had not planned the
last sentence. That troubled her more than the bitterness in it. Rory nodded at the ring. “Married?” “Eighteen months.” “To Daniel?” Eva’s hand stilled. “How did you know?” “Your phone’s been shouting his name since you sat down.” “Oh.”
She silenced it and put
it in her bag. “Daniel Marlowe,” she said. “You’d like him. Everyone does at first.” “That isn’t much of a reference.” Eva laughed. The sound came out louder than she
seemed to
expect. Two men at the bar looked over, and she lowered her head until they lost interest. “There you are,” she said. “I haven’t been anywhere.” “No.” Eva rubbed her thumb along the side of her glass. “I had an agent for eleven months. Did you know that?” “No.” “I was twenty. I could cry on cue. It turned out not to be rare.” “Do you still act?” “I host.” Rory waited. “Charity dinners. Award nights. Daniel’s foundation. I stand beside the podium and know when to start the applause.” “You used to boo at school concerts.” “I know.” Above them, the map’s old borders faded into the yellowed paper.
Somewhere behind the bar, ice
dropped into a glass. Eva listened to it as though she needed the noise to continue. “I didn’t know you were here,” she said. “Tonight, I mean. I didn’t come looking for you.” “All right.” “I need you to believe that.” “Why?” “Because you keep looking at the door.” Rory had not known she
was doing
it.
She put both hands round
her glass. “You came in for a drink.” “Yes.” “Then have one.” Eva drank. The water
trembled
in her hand, but she set the glass down without spilling it. “I went to Paddington,” she said. Rory stopped picking at the plaster. “No, you didn’t.” “At nine the next morning.” “You told me to wait under the clock.” “I know.” “I waited until they closed the coffee kiosk.” Eva shut her eyes. “I thought you’d gone back to Cardiff.” “I had.” Her eyes opened. “Not that night. Three days later.” “You never told me.” “You never asked.” “I’m asking now.” “No. You’re asking whether it turned out badly enough to justify how bad you feel.” Eva’s mouth parted. Rory expected another useful lie.
She had seen Eva produce
them for teachers, for boyfriends, once for a police officer outside a club in Cardiff.
They used to arrive with
a smile. This time, nothing came. “Yes,” Eva said. The honesty did what an apology could not. Rory sat back. Eva stared into her water. “Daniel said Evan would follow you. He said if I went to the station, I shouldn’t come home. I stood in our kitchen with my coat on and let him take it off me.” Rory said nothing. “The next morning, I went. You weren’t there. I was so relieved I thought I might be sick.” “Relieved?” “If you’d still been there, I’d have had to choose.” “You’d chosen.” “Yes.” A group near the fruit machine burst into laughter. Eva flinched. Rory watched her rebuild her face, piece by piece, until she could look across the table again. “I sent money,” she said. “Fifty-three pounds.” “You remember.” “It bought my ticket back to him.” Eva’s ring knocked against her glass. “Rory.” “Don’t.” “I didn’t know.” “I didn’t want you to. The second time I left, I didn’t call.” Eva pressed her lips together.
She had done that as
a child when crying threatened to spoil an argument. “Why?” “Because you were right about me going back. I needed to leave without making somebody else responsible for whether I stayed away.” “And did you?” Rory glanced towards Silas.
He stood at the far
end of the bar with his
weight
off his bad knee, polishing a glass that already shone. Above him hung a black-and-white photograph of six young men outside a building in Prague. Silas never pointed himself out in it. “I’m here,” Rory said. Eva nodded. “You got brave.” “I got tired. Brave came later.” The bag at Eva’s feet
began to
buzz.
She nudged it under her
chair with the toe of her shoe. Rory looked at the coat still buttoned round her throat. “Does he still take your coat?” Eva’s hand closed over the bag’s strap. “He doesn’t hit me.” “All right.” “You think that’s a small thing.” “No. I think it’s the part you’ve decided I’m allowed to ask about.” “He isn’t Evan.” “Then he won’t mind you having a key.” Rory took her keys from her pocket. She worked a small brass one off the ring and laid it between them. Eva looked at it without touching it. “What’s that?” “My flat. Above the Nest. There’s a bolt on the door, and the windows don’t face the street.” “I can’t take your key.” “You can take it. Using it is a separate decision.” “After everything I just told you?” “It’s a key, not a pardon.” Eva gave a wet, startled laugh. “You always could make a person feel worse and better at the same time.” “You taught me.” For the first time since she had risen from the stool, Eva unbuttoned her coat. Beneath it she wore a pale
silk
dress with a dark stain near the hem. Wine, perhaps, or something she had spilled while leaving wherever she
was meant
to be. She reached for the key. The bar door opened hard enough to stir the photographs on the wall. Eva’s shoulders rose before the voice reached them. “There you are.” Daniel crossed the room without haste. His grey suit fitted him without a crease, and his fair hair had
been combed
back from a face that other people had kept well rested. He kissed the top of Eva’s head. She did not lift it. His hand remained on her shoulder. “You said you were going home.” “I changed my mind.” “You left before the auction.” “There wasn’t a speech. There was a paragraph about you.” His thumb moved once against her shoulder. “You missed it.” Daniel looked at Rory. His gaze paused on the bloodied cloth, then settled on the key beneath Eva’s fingers. “Aurora, isn’t it?” “Rory.” “Of course. Eva’s told me all about you.” “No, I haven’t.” He smiled at her, then at Rory, including them both in the same patient joke. “You’re upset.” “I’m talking to my friend.” “You’ve had a difficult evening.” “Because you kept ringing it.” His hand stopped moving. Rory felt the old
silence
enter her body. It began behind her ribs and worked outwards, instructing each muscle to wait. Her thumb tightened. Blood bloomed through the cloth. Daniel saw it. He smiled with more
warmth
. “The car’s outside,” he said. “I’m staying.” “No, darling. You’re tired.” Silas set down the glass he had been polishing. He came round the bar, his limp more pronounced on the old boards, and stopped near the bookshelf. “Is there a problem?” he asked. “A family matter.” “Then she can answer.” Eva stared at the table. Daniel’s fingers tightened on her shoulder. He looked at Silas with the mild regret of a man denied good service. “We’re leaving.” He reached for the key. Eva closed her fist around it. For a moment, none of them moved.
Then Daniel held out his
palm. “Give it to me.” “No.” The word barely crossed the table, but it reached him. His hand shot out. He caught Eva’s wrist and wrenched her upright. The chair struck the floor. Rory stood as Silas took a step forwards. “Let go of her,” Silas said. Daniel twisted Eva’s arm. She screamed, and Rory threw the glass.
created_at
"2026-10-27T10:30:48.016Z"
10/27/2026, 10:30:48 AM
model
"moonshotai/kimi-k3.1-pro-20261023"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
4518
moderation_latency
(null)
generation_time
1009259
tokens_prompt
4445
tokens_completion
27320
native_tokens_prompt
4244
native_tokens_completion
25417
native_tokens_completion_images
(null)
native_tokens_reasoning
22865
native_tokens_cached
0
num_media_prompt
(null)
num_input_audio_prompt
(null)
num_media_completion
0
num_search_results
(null)
num_fetches
(null)
web_search_engine
(null)
origin
"https://ncbench.com/"
is_byok
false
finish_reason
"stop"
native_finish_reason
"stop"
service_tier
(null)
usage
0.262658
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.22.1; linux; x64))"
http_referer
(null)
request_id
"req-1793097048-ZJR7M1MjlTTYAFXjWPxG"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1793097048-QiznDVfj1khHf4ZGe5yJ"
upstream_id
"chatcmpl-6ae07d5840fbf038f82b7996"
provider_responses
0
endpoint_id
"a3fafaac-f097-4ef1-86b3-842854dad5c6"
id
"chatcmpl-6ae07d5840fbf038f82b7996"
is_byok
false
latency
4518
model_permaslug
"moonshotai/kimi-k3.1-pro-20261023"
provider_name
"Moonshot AI"
status
200
total_cost
0.262658
cache_discount
(null)
upstream_inference_cost
0
provider_name
"Moonshot AI"
response_cache_source_id
(null)
data_region
"global"
workspace_id
"97e315e5-d303-487d-83c1-83180e8a13d4"
Evaluation details
Result
Evaluator
Details
Meta Data
100.00%
Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags
13
adverbTagCount
1
adverbTags
0
"Eva asked once [once]"
dialogueSentences
127
tagDensity
0.102
leniency
0.205
rawRatio
0.077
effectiveRatio
0.016
100.00%
AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount
1833
totalAiIsmAdverbs
0
found
(empty)
highlights
(empty)
100.00%
AI-ism character names
Target: 0 AI-default names (16 tracked, −20% each)
codexExemptions
0
"Blackwood"
found
(empty)
100.00%
AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions
(empty)
found
(empty)
78.18%
AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount
1833
totalAiIsms
8
found
0
word
"pulsed"
count
2
1
word
"throbbed"
count
1
2
word
"trembled"
count
1
3
word
"weight"
count
1
4
word
"silk"
count
1
5
word
"silence"
count
1
6
word
"warmth"
count
1
highlights
0
"pulsed"
1
"throbbed"
2
"trembled"
3
"weight"
4
"silk"
5
"silence"
6
"warmth"
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
140
matches
(empty)
100.00%
Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount
0
hedgeCount
2
narrationSentences
140
filterMatches
(empty)
hedgeMatches
0
"seemed to"
1
"began to"
100.00%
Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences
254
gibberishSentences
0
adjustedGibberishSentences
0
longSentenceCount
0
runOnParagraphCount
0
giantParagraphCount
0
wordSaladCount
0
repetitionLoopCount
0
controlTokenCount
0
repeatedSegmentCount
0
maxSentenceWordsSeen
34
ratio
0
matches
(empty)
100.00%
Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans
0
markdownWords
0
totalWords
1833
ratio
0
matches
(empty)
100.00%
Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions
30
unquotedAttributions
0
matches
(empty)
0.00%
Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions
90
wordCount
1167
uniqueNames
10
maxNameDensity
3.43
worstName
"Eva"
maxWindowNameDensity
5.5
worstWindowName
"Eva"
discoveredNames
Rory
26
Eva
40
London
1
Cardiff
2
Silas
11
Europe
1
Raven
1
Nest
1
Prague
1
Daniel
6
persons
0
"Rory"
1
"Eva"
2
"Silas"
3
"Raven"
4
"Nest"
5
"Daniel"
places
0
"London"
1
"Cardiff"
2
"Europe"
3
"Prague"
globalScore
0
windowScore
0
100.00%
Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences
90
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
1833
matches
(empty)
100.00%
Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount
1
totalSentences
254
matches
0
"touched that scar"
100.00%
Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs
185
mean
9.91
std
11.67
cv
1.178
sampleLengths
0
29
1
1
2
28
3
8
4
18
5
8
6
78
7
4
8
3
9
4
10
8
11
28
12
3
13
1
14
8
15
28
16
3
17
47
18
36
19
61
20
30
21
10
22
12
23
2
24
8
25
6
26
3
27
4
28
6
29
5
30
21
31
11
32
3
33
4
34
8
35
2
36
6
37
27
38
5
39
1
40
2
41
2
42
3
43
4
44
10
45
1
46
9
47
11
48
6
49
28
97.74%
Passive voice overuse
Target: ≤2% passive sentences
passiveCount
3
totalSentences
140
matches
0
"been eleven"
1
"was meant"
2
"been combed"
100.00%
Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount
1
totalVerbs
212
matches
0
"was doing"
100.00%
Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount
0
semicolonCount
0
flaggedSentences
0
totalSentences
254
ratio
0
matches
(empty)
94.00%
Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount
1169
adjectiveStacks
1
stackExamples
0
"lay smooth against her"
adverbCount
31
adverbRatio
0.026518391787852865
lyAdverbCount
1
lyAdverbRatio
0.000855431993156544
100.00%
Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences
254
echoCount
0
echoWords
(empty)
100.00%
Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences
254
mean
7.22
std
5.28
cv
0.732
sampleLengths
0
8
1
21
2
1
3
6
4
12
5
10
6
4
7
4
8
18
9
4
10
4
11
16
12
10
13
9
14
19
15
20
16
4
17
4
18
3
19
4
20
8
21
5
22
9
23
14
24
3
25
1
26
8
27
8
28
6
29
14
30
3
31
14
32
15
33
9
34
9
35
3
36
15
37
3
38
15
39
23
40
8
41
19
42
11
43
7
44
8
45
7
46
8
47
10
48
12
49
2
46.85%
Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats
8
diversityRatio
0.2677165354330709
totalSentences
254
uniqueOpeners
68
100.00%
Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount
4
totalSentences
123
matches
0
"Everywhere but Rory’s face."
1
"Then her phone lit up"
2
"Somewhere behind the bar, ice"
3
"Then Daniel held out his"
ratio
0.033
93.17%
Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount
39
totalSentences
123
matches
0
"His signet ring brushed her"
1
"She had entered rooms as"
2
"Her hair lay smooth against"
3
"She stopped an arm’s length"
4
"She took her hand from"
5
"They took the table beneath"
6
"It pulsed against the wood,"
7
"She reached across the table,"
8
"She had sworn to Rory’s"
9
"He set them down without"
10
"He had heard it at"
11
"She had not planned the"
12
"She silenced it and put"
13
"She put both hands round"
14
"Her eyes opened."
15
"She had seen Eva produce"
16
"They used to arrive with"
17
"She had done that as"
18
"He stood at the far"
19
"She nudged it under her"
ratio
0.317
25.04%
Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount
107
totalSentences
123
matches
0
"Rory nicked her thumb instead"
1
"The knife stuck in the"
2
"Silas pulled it free and"
3
"His signet ring brushed her"
4
"The woman came between the"
5
"The face was Eva’s."
6
"The care was new."
7
"She had entered rooms as"
8
"This Eva held her coat"
9
"Her hair lay smooth against"
10
"She stopped an arm’s length"
11
"A smile moved Eva’s mouth."
12
"Rory could have given her"
13
"She took her hand from"
14
"They took the table beneath"
15
"Eva put her phone face"
16
"It pulsed against the wood,"
17
"Rory’s thumb throbbed."
18
"Eva saw it."
19
"She reached across the table,"
ratio
0.87
0.00%
Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount
0
totalSentences
123
matches
(empty)
ratio
0
100.00%
Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences
43
technicalSentenceCount
0
matches
(empty)
100.00%
Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags
13
uselessAdditionCount
0
matches
(empty)
100.00%
Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags
13
fancyCount
0
fancyTags
(empty)
dialogueSentences
127
tagDensity
0.102
leniency
0.205
rawRatio
0
effectiveRatio
0
87.8328%