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Run: 2026-09-23-01M37HRWXS5H2YWKKS8WYQYV64
Run Details
Model:
GPT-6 Sol (Reasoning, Medium)
Test:
Bad Writing Habits
Scenario:
Literary fiction: old friends reunite
Duration:
1m 15s
Cost:
$0.037772
Provider:
OpenAI
Evaluation summary
Score
Evaluator
Details Link
100.00%
Adverbs in dialogue tags
(details)
97.18%
AI-ism adverb frequency
(details)
100.00%
AI-ism character names
(details)
100.00%
AI-ism location names
(details)
97.18%
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)
16.67%
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)
100.00%
Passive voice overuse
(details)
100.00%
Past progressive (was/were + -ing) overuse
(details)
100.00%
Em-dash & semicolon overuse
(details)
100.00%
Purple prose (modifier overload)
(details)
100.00%
Repeated phrase echo
(details)
100.00%
Sentence length variance
(details)
44.90%
Sentence opener variety
(details)
100.00%
Adverb-first sentence starts
(details)
100.00%
Pronoun-first sentence starts
(details)
46.21%
Subject-first sentence starts
(details)
86.21%
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)
92.9443%
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
Silas dropped the glass when
the woman at the end of the bar asked for a pencil.
It struck the floor rim
first.
Rory looked up from the
till as it spun beneath a table, gathering grit and the smell of gin.
Silas stood with his hand
still open. “You always did break the cheap ones,”
the woman said
. Silas looked at her.
Her grey hair hung close
to her jaw, and a plain coat swallowed her narrow shoulders. One hand lay flat on the bar, its fingers spread as if she needed the wood to hold her upright. “Nora.”
She reached for the pencil
Rory offered and turned over her drinks receipt.
Instead of writing, she drew
a small square in its corner. Then another inside it. “Still keeping the good glasses on the top shelf?” “We drink from them now.” “That’ll please your father.” “My father’s dead.” Nora’s pencil stopped.
She set it down with
care. “I didn’t know.”
Rory crouched to retrieve the
glass. By the time she rose, Silas had poured Nora a water without asking.
He pushed it across the
bar, leaving a wet ring on the dark wood.
The Raven’s Nest held five
other customers. Two men argued over a crossword near the door.
A woman in a wool
hat read a paperback beneath a photograph of a railway platform. None of them watched Silas, which meant none of them knew him. Nora took a sip.
Her eyes moved over the
old maps on the walls, the black-and-white photographs, the bookshelf at the back.
Silas followed her glance and
turned his signet ring once around his finger. “I thought you lived in Glasgow,” he said. “I did.” “You sent me a card from there.” “Eleven years ago.” “I kept it.” “I asked you to come.”
Rory bent to put the
cracked glass in the bin. When she straightened, Silas had braced both palms against the bar. “We were friends,” Nora said. “You could have written that you weren’t coming.” One of the crossword men called for another pint.
Rory filled it and took
his coins. Behind her,
neither Silas nor
Nora spoke. The green neon above the entrance threw a dull stripe across the floor whenever the door opened, but no one came in. Rory had seen people arrive at the Nest with debts, threats and small brown envelopes. They
tended to
lean forwards. Nora kept her elbows close to her sides.
She looked like someone who
had spent years making room for another person. “You look well,” Silas said. “No, I don’t.” “You look like yourself.” “That’s worse.” He lifted the water jug. Nora covered her glass. “I wanted a pencil so I’d have something to do with my hands,” she said. Rory took the empty pint to the sink. Silas gave her a look that usually meant the back room, a closed door, no questions.
She put the glass down
but stayed where she was. “You can ask her to leave,” Rory said. “I’ve already heard your father’s dead.” Nora turned towards her.
Her gaze settled on Rory’s
face, then on the small crescent scar at her left wrist where her sleeve had ridden up. “You’re the delivery rider.” “Part-time.” “She lives upstairs,” Silas said. Nora’s eyes returned to him. “Of course she does.” “Rory knows what she needs to.” “That used to be your favourite arrangement.” Silas took a cloth and wiped the ring her glass had left. The patch of wood dried beneath his hand. He wiped it again. Rory had known him for two years.
He could silence a drunk
with a glance and persuade a debt collector to take a drink instead of breaking a chair.
Now he could not look
at a woman who sat within arm’s reach. “What happened in Glasgow?” he asked. “A boy grew up.” His hand stopped. “Mila’s son. He’s fourteen now. Taller than me, though he still leaves his shoes in the hall where somebody can fall over them.” “I didn’t know she had a son.” “No. You didn’t.” Nora folded the receipt along one edge of the square she had drawn.
Once, then again, until the
paper stood in a stiff little ridge. Rory turned off the tap. The woman in the wool hat took off her reading glasses and rubbed the bridge of her nose. Someone laughed outside and kept walking. “Mila came to see you,” Nora said. Silas looked towards the bookshelf. “She came in March.” “She came home with your address written on the back of a receipt. She said you’d listen if she came alone.” “I did listen.” “She said you gave her money.” “For the train.” “She had a return ticket.” Silas let the cloth fall beside the sink. Nora took a photograph from her coat pocket. The white edge had softened from handling.
She placed it on the
bar without pushing it towards him. A young woman stood in a kitchen, holding a child’s school shirt by the shoulders. One sleeve hung inside out.
She faced the camera with
an impatient smile, as though the person behind it had interrupted a useful job. “Mila?” Rory asked. Nora nodded. Silas touched the edge of the photograph. “She has your smile.” “She hated when people said that. She’d go and find a picture of her mother to prove them wrong.” “You told her about her mother?” “I told her what I knew.” The front door opened. A pair of women entered beneath the green neon, bringing a rush of voices from the street.
They chose a table under
the maps. Rory took their order, two wines, and poured them
slowly
enough to give Silas and Nora a little space. They didn’t use it. When Rory returned, Nora had put the photograph away. “Mila found the report,” she said. Silas gripped the bar rail. “She was eight,” Nora went on. “She remembered the stairs and a red door. That was all. I spent years telling her memory does strange things. Then she brought me a copy of the report with the address written plainly at the top.” “We discussed the address before I sent it.” “We discussed a safe flat. Your report called it an occupied target.” “We had reason to believe the men were there.” “Her mother was there.” Silas’s jaw shifted.
He glanced at Rory, then
at the customers near the door. “Come through the back.” “No.” “Nora.” “I sat in your back room in Prague. You remember that? You made tea in a pot with no lid, so the leaves got everywhere. You said we’d go round together when it was done.” Rory watched Silas.
He had stopped touching the
rail. “We couldn’t go round,” he said. “We could. We chose not to.” The two women’s wine glasses met with a soft click. One of the crossword men asked Rory for change. She gave him coins and watched him feed them into the fruit machine, grateful for its clatter. Nora’s hands no longer shook. She flattened the folded receipt against the bar. “I took Mila in because there was nobody else,” she said. “For the first year, she slept with her coat on. She thought I’d send her away if she unpacked.” “I looked for her.” “You found her. You found me too.” Silas drew breath. Nora raised a finger, and he stopped. “I didn’t come for an apology. Mila wanted the name of the person who authorised the address. Your signature sits on the report, but there’s a line beneath it that the copy doesn’t show. She thought you’d tell her who stood above you.” “I told her I couldn’t.” “You told her to leave it alone.” “I told her she had a son.” Nora looked down at the paper beneath her hand. For a moment Rory thought she would tear it.
Instead, she smoothed a crease
with her thumb. “She hasn’t come home,” Nora said. Silas stepped back from the bar. “Since when?” “Three days. Her boy called me after school. He said the hall looked wrong without her shoes.” Rory glanced towards the door. The women at the table
were discussing
a wedding invitation. The crossword lay abandoned beside two empty glasses. Everything in the room kept its ordinary shape, though Silas had already moved between Nora and the entrance. “Have you called the police?” he asked. “I gave them her name and a photograph. I didn’t give them this.” Nora slid the receipt across the bar. On its reverse, beneath her little squares, she had written six digits and the name of a storage company in Clerkenwell. “Mila took a locker there on Monday,” she said. “They rang me because I’m down as her emergency contact. A man went in yesterday with her key. They have him on camera.” “Did they show you?” “They sent a still.” She opened her coat. Silas put out a hand, but Rory had already seen what Nora drew from the inside pocket: not a weapon, only a folded sheet of printer paper. Rory took it before Silas could. The image had blurred where the man crossed in front of the camera. His face turned away. Still, Rory knew the dark jacket and the white strip of plaster across one knuckle. She had served him a whisky at the Nest two nights earlier. He had sat alone beneath the photograph of the railway platform and left half of it untouched. Silas read her face. “He came here,” Rory said. Nora gripped the edge of the bar. “When?” “Tuesday. He watched the bookshelf.” Silas reached beneath the counter. Rory heard the click of the lock on the front door, then the heavier bolt he had fitted after a break-in. One of the women at the table turned towards the sound. “We close early,” Silas said. The crossword men complained, but Rory returned their glasses and guided them towards the side exit by the toilets. Silas kept his voice level as he told the women to follow. His left leg dragged once as he crossed the floor. Nora remained at the bar. She held her daughter’s photograph between two fingers, looking at the school shirt in Mila’s hands. From the back of the room came the dry scrape of wood against wood. Rory turned. The bookshelf shifted outwards. Silas was still beside the side exit, ushering the last customer through. A hand appeared in the gap, its knuckles wrapped in white plaster.
Then a man stepped out
of the hidden room and raised a pistol towards Nora. Silas shoved the customer through the door. “Down!” The man fired.
created_at
"2026-09-23T16:32:23.49Z"
9/23/2026, 4:32:23 PM
model
"openai/gpt-6-sol-20260922"
app_id
182717
external_user
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streamed
true
cancelled
false
latency
33112
moderation_latency
(null)
generation_time
74727
tokens_prompt
4445
tokens_completion
2655
native_tokens_prompt
4131
native_tokens_completion
3694
native_tokens_completion_images
0
native_tokens_reasoning
1494
native_tokens_cached
4128
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
"completed"
service_tier
"default"
usage
0.0377716
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.20.0; linux; x64))"
http_referer
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request_id
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session_id
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preset_id
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api_type
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upstream_id
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provider_responses
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id
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is_byok
false
latency
778
model_permaslug
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provider_name
"OpenAI"
status
200
total_cost
0.0377716
cache_discount
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upstream_inference_cost
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provider_name
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data_region
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Evaluation details
Result
Evaluator
Details
Meta Data
100.00%
Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags
19
adverbTagCount
0
adverbTags
(empty)
dialogueSentences
80
tagDensity
0.238
leniency
0.475
rawRatio
0
effectiveRatio
0
97.18%
AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount
1770
totalAiIsmAdverbs
1
found
0
adverb
"slowly"
count
1
highlights
0
"slowly"
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)
97.18%
AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount
1770
totalAiIsms
1
found
0
word
"silence"
count
1
highlights
0
"silence"
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
135
matches
(empty)
100.00%
Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount
0
hedgeCount
1
narrationSentences
135
filterMatches
(empty)
hedgeMatches
0
"tended to"
100.00%
Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences
196
gibberishSentences
0
adjustedGibberishSentences
0
longSentenceCount
0
runOnParagraphCount
0
giantParagraphCount
0
wordSaladCount
0
repetitionLoopCount
0
controlTokenCount
0
repeatedSegmentCount
0
maxSentenceWordsSeen
43
ratio
0
matches
(empty)
100.00%
Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans
0
markdownWords
0
totalWords
1770
ratio
0
matches
(empty)
100.00%
Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions
31
unquotedAttributions
0
matches
(empty)
16.67%
Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions
93
wordCount
1194
uniqueNames
8
maxNameDensity
2.51
worstName
"Silas"
maxWindowNameDensity
4.5
worstWindowName
"Nora"
discoveredNames
Silas
30
Rory
26
Nora
26
Raven
1
Nest
3
One
5
Clerkenwell
1
Mila
1
persons
0
"Silas"
1
"Rory"
2
"Nora"
3
"Raven"
4
"Mila"
places
0
"Nest"
1
"Clerkenwell"
globalScore
0.244
windowScore
0.167
100.00%
Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences
85
glossingSentenceCount
1
matches
0
"looked like someone who had spent years m"
100.00%
"Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches
1
per1kWords
0.565
wordCount
1770
matches
0
"neither Silas nor"
100.00%
Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount
0
totalSentences
196
matches
(empty)
100.00%
Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs
122
mean
14.51
std
13.84
cv
0.954
sampleLengths
0
17
1
32
2
10
3
40
4
1
5
28
6
9
7
5
8
4
9
3
10
9
11
3
12
33
13
44
14
35
15
8
16
2
17
7
18
3
19
3
20
5
21
21
22
13
23
45
24
41
25
5
26
3
27
4
28
2
29
9
30
15
31
34
32
14
33
26
34
4
35
1
36
5
37
9
38
6
39
7
40
24
41
42
42
6
43
4
44
3
45
23
46
7
47
3
48
25
49
29
100.00%
Passive voice overuse
Target: ≤2% passive sentences
passiveCount
0
totalSentences
135
matches
(empty)
100.00%
Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount
1
totalVerbs
201
matches
0
"were discussing"
100.00%
Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount
0
semicolonCount
0
flaggedSentences
0
totalSentences
196
ratio
0
matches
(empty)
100.00%
Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount
1197
adjectiveStacks
0
stackExamples
(empty)
adverbCount
32
adverbRatio
0.026733500417710943
lyAdverbCount
3
lyAdverbRatio
0.002506265664160401
100.00%
Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences
196
echoCount
0
echoWords
(empty)
100.00%
Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences
196
mean
9.03
std
6.61
cv
0.732
sampleLengths
0
17
1
6
2
19
3
7
4
10
5
4
6
16
7
20
8
1
9
13
10
11
11
4
12
9
13
5
14
4
15
3
16
3
17
6
18
3
19
6
20
13
21
14
22
7
23
9
24
16
25
12
26
4
27
18
28
13
29
8
30
2
31
7
32
3
33
3
34
5
35
10
36
11
37
5
38
8
39
9
40
7
41
7
42
22
43
15
44
5
45
8
46
13
47
5
48
3
49
4
44.90%
Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats
10
diversityRatio
0.22959183673469388
totalSentences
196
uniqueOpeners
45
100.00%
Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount
5
totalSentences
116
matches
0
"Instead of writing, she drew"
1
"Then another inside it."
2
"Once, then again, until the"
3
"Instead, she smoothed a crease"
4
"Then a man stepped out"
ratio
0.043
100.00%
Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount
28
totalSentences
116
matches
0
"It struck the floor rim"
1
"Her grey hair hung close"
2
"She reached for the pencil"
3
"She set it down with"
4
"He pushed it across the"
5
"Her eyes moved over the"
6
"They tended to lean forwards."
7
"She looked like someone who"
8
"He lifted the water jug."
9
"She put the glass down"
10
"Her gaze settled on Rory’s"
11
"He wiped it again."
12
"He could silence a drunk"
13
"His hand stopped."
14
"She placed it on the"
15
"She faced the camera with"
16
"They chose a table under"
17
"They didn’t use it."
18
"He glanced at Rory, then"
19
"He had stopped touching the"
ratio
0.241
46.21%
Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount
96
totalSentences
116
matches
0
"Silas dropped the glass when"
1
"It struck the floor rim"
2
"Rory looked up from the"
3
"Silas stood with his hand"
4
"the woman said"
5
"Silas looked at her."
6
"Her grey hair hung close"
7
"She reached for the pencil"
8
"Nora’s pencil stopped."
9
"She set it down with"
10
"Rory crouched to retrieve the"
11
"He pushed it across the"
12
"The Raven’s Nest held five"
13
"A woman in a wool"
14
"None of them watched Silas,"
15
"Nora took a sip."
16
"Her eyes moved over the"
17
"Silas followed her glance and"
18
"Rory bent to put the"
19
"Rory filled it and took"
ratio
0.828
86.21%
Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount
2
totalSentences
116
matches
0
"By the time she rose,"
1
"Now he could not look"
ratio
0.017
100.00%
Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences
52
technicalSentenceCount
2
matches
0
"None of them watched Silas, which meant none of them knew him."
1
"She faced the camera with an impatient smile, as though the person behind it had interrupted a useful job."
100.00%
Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags
19
uselessAdditionCount
0
matches
(empty)
100.00%
Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags
18
fancyCount
0
fancyTags
(empty)
dialogueSentences
80
tagDensity
0.225
leniency
0.45
rawRatio
0
effectiveRatio
0
92.9443%