NC Bench
Overview
About
Tests
Categories
Models
Vendors
Compare
Run: 2026-09-23-01M37HWCJH0MZB6QSEAZ9YVDBF
Run Details
Model:
GPT-6 Sol (Reasoning, Medium)
Test:
Bad Writing Habits
Scenario:
Literary fiction: old friends reunite
Duration:
1m 20s
Cost:
$0.040342
Provider:
OpenAI
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)
93.86%
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)
32.25%
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)
94.00%
Purple prose (modifier overload)
(details)
100.00%
Repeated phrase echo
(details)
100.00%
Sentence length variance
(details)
47.47%
Sentence opener variety
(details)
32.05%
Adverb-first sentence starts
(details)
77.69%
Pronoun-first sentence starts
(details)
0.00%
Subject-first sentence starts
(details)
48.08%
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)
87.5134%
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 caught the falling glass
before it broke.
The woman across the bar
had taught him that trick in Prague, though back then the thing falling had been a gun. “Still showing off,” she said.
He set the glass beneath
the counter.
Nell Finch stood just inside
the door, one hand on its brass handle.
She had cut her hair
close to her head. Without the long black fringe she used to hide behind, he could see the pale seam above her
eyebrow
. “You’ve come to the wrong place,” he said. “I gathered that much.”
She let go of the
handle.
A man coming in behind
her forced his way past, gave Silas a glance, then settled at the far end of the bar.
Nell took the stool nearest
the door. “Gin,” she said. “Whatever you don’t pour for tourists.”
Silas reached for a bottle
on the lower shelf.
His knee caught as he
straightened, a small hitch he knew she would notice.
She kept her eyes on
his hands.
The Raven’s Nest gave her
plenty to look at instead.
Maps covered the walls between
black-and-white photographs, and the green neon sign threw a sickly strip of light across the mirrors.
He had bought most of
the pictures from a dealer who knew nothing about the people in them. He poured her drink. “You found me.” “I walked in.” “Of all the bars in Soho.” “The sign was green. I thought I could stand one more bad decision.”
She lifted the glass, then
put it down without drinking. In Prague she had worn
silk
shirts under men’s jackets and called expensive gin a waste of good money.
Now her coat had a
careful darn at the cuff.
Her fingers bore the fine
red cracks of someone who washed them too often. “Your hair’s changed,” he said. “So has yours.” “I own a mirror.” “I thought you might have sold it.”
The man at the far
end ordered a lager.
Silas served him and came
back. Nell had taken a sip.
She ran her thumb around
the rim of the glass, stopping at the same point each time. “You were in Brussels,” he said. “Last I heard.” “That was fourteen years ago.” “It was what I heard.” “I worked there for six months.” “And after?” She looked at the photographs. One showed a flooded street, another a party of men outside a hunting lodge.
He watched her pass over
each face. “St Bartholomew’s,” she said. “For a while.” “You went back into medicine?” “I never went into medicine.”
She turned the glass so
that the wet print of her thumb faced him. “I cleaned the mortuary. Now I work for a funeral director in Bethnal Green. You can tell that story to whoever still asks.” Silas picked up a cloth and folded it twice.
She had once stayed awake
for three days to learn the habits of a man she planned to betray.
He could hear her, even
now,
saying that grief
cost less if you settled the account before it came due. “A funeral director,” he said. “I fit the clothes. Make the calls. There’s a surprising amount of paperwork after you die.” “You always liked paperwork.” “I liked what it let me do to people.” The man with the lager left coins on the counter and went out. Nell watched the door close. Silas waited until the street noise thinned. “Does he know you’re here?” “Who?” Silas held her gaze. She gave a short laugh, nothing like the one he remembered. “There it is. A question with a trap in every word.” “You trained me.” “I taught you to spot one.” She slid her glass away. Silas remembered her in a restaurant kitchen in Prague, blowing on her burnt fingers while a radio hissed at her elbow.
They had argued about a
boy called Petr, seventeen and good with locks, whom they had promised passage out of the city. There had been four seats in the car and five people in the kitchen. Nell had counted them aloud. Silas had made the call. The bookshelf at the back of the bar stood between two old maps. Nell glanced towards it. “Still keeping a room nobody knows about?” “Less useful if I answer.” “I don’t want to see it.” “Then don’t.” She took another drink.
Her face tightened at the
taste. “That is dreadful gin.” “You asked for it.” “I did. You might have warned me.” Silas took the bottle from the counter. He could offer her a better one, but she had finished most of what he had poured. “How long have you been back in London?” “Long enough to know the buses have got worse.” “Nell.” “Six years.” “You could have called.” “You changed your number.” “The bar’s been here fifteen years.” “Yes. I know that now.” The door to the stairwell opened behind him. Rory came through carrying a paper bag from the Golden Empress, her black hair tucked behind one ear. She stopped when she saw the untouched second glass Silas had set out without thinking. “Yu-Fei says you owe her for Tuesday.” “I paid her for Tuesday.” “She says you paid for Monday twice.” “That sounds like her.” Rory set the bag down. The smell of ginger and hot oil rose between them. Nell looked from Rory to the narrow stairwell, then to Silas. “Delivery?” she asked. “And I live upstairs.” Rory gave Nell a brief smile. She took the coins Silas left beside the bag, counted them, and put one back. “You’re short,” Silas said. “You tipped me yesterday.” He had not. Rory’s bright blue eyes had gone to Nell’s hands and stayed there a moment.
Then she picked up her
helmet and headed for the stairs. Nell waited until the door shut. “You let her live here?” “She needed a flat.” “That wasn’t what I asked.” Silas opened the bag and found two cartons. He shut it again. “I haven’t seen you in nineteen years,” he said. “Don’t start giving me orders.” Nell pressed her palms against the bar. He saw the crescent marks her nails had left in the skin. “Petr turned up,” she said. Silas did not touch the bag. “At the funeral home?” “His mother.” The name had followed them out of Prague. It had sat in sealed files and in the pauses between other people’s sentences. Silas had looked for the woman once, years after the operation, and found an empty flat and a forwarding address that led nowhere. “She died on Friday,” Nell said. “Her neighbour found her. No family listed, but she kept a biscuit tin full of names and telephone numbers. Mine was on a piece of paper at the bottom.” “Did she know what happened?” “She knew we left him.” Silas heard Rory’s steps above them. A key turned in her flat door. “We came back for him,” he said. “We came back for his body.” “I went into that building.” “After the fire.” He gripped the edge of the counter. For nineteen years he had told the story in that order: the car, the return, the fire. He had never said how long it took him to turn the car round. Nell drew an envelope from inside her coat. Its corners had softened with handling. “She wrote to you. I found it in the tin.” “Why bring it?” “She addressed it to you.” “You could have posted it.” “I spent six years walking past this place.” She left the envelope between them. Silas could see his name in a cramped hand, Blackwood, no address. He kept his hands on the counter. “What did you tell her?” “The truth. The parts she asked for.” “And what did she ask for?” Nell looked down at her glass. “She wanted to know if he had his coat. He never went anywhere without it.” Silas remembered the coat, brown, too large, with one pocket torn open. Petr had left it on a chair because the kitchen grew hot with all of them crowded inside. When the shooting began, he had reached back for it. Silas had pushed him towards the door. “He did,” Silas said. Nell’s gaze lifted. “He put it on in the car. Before we sent him back.” “No.” Silas touched the envelope. “Nell.” “She spent her life looking for that coat. I told her he had it.” He pulled his hand away. She had given the boy’s mother something he could
neither correct nor
take from her now. Nell picked up her glass and finished the gin. “Why tell me?” he asked. “Because I’ve had to hear that lie come out of my mouth every time I visited her. You can have a turn.” A thud came from the stairwell. Silas looked up. Rory often knocked her helmet against the wall when she brought it upstairs, but her flat door had already closed. Nell noticed him looking. She drew her coat together and rose from the stool. “I should go.” “No.” “I didn’t come to stay.” Silas moved round the end of the bar. His knee slowed him. Nell had reached the door when a second thud struck the stairwell, followed by Rory’s voice. “Silas?” He stopped. Nell turned the handle, and the door pushed inward against her hand. A man stood outside with a strip of black tape around his thumb. He held a phone at chest height. On its screen, Silas saw a live picture of the bar. The stairwell door opened. Rory came out backwards, gripping the frame with both hands. Another man followed her, a knife against the bare skin below her jaw. “Put your hands where I can see them,” he said. Nell threw her glass at his face.
created_at
"2026-09-23T16:34:17.817Z"
9/23/2026, 4:34:17 PM
model
"openai/gpt-6-sol-20260922"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
41961
moderation_latency
(null)
generation_time
80047
tokens_prompt
4445
tokens_completion
2434
native_tokens_prompt
4131
native_tokens_completion
3951
native_tokens_completion_images
0
native_tokens_reasoning
1931
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
0.0403416
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.20.0; linux; x64))"
http_referer
(null)
request_id
"req-1790181257-viOGzjIHEIYbkEML9W36"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1790181257-jv1FewUYj3RNVnczvgAp"
upstream_id
"resp_0dc3b79e200cb2e2016ab3ff89f78c87d195170219c4f355d5"
provider_responses
0
endpoint_id
"1cfc7d9d-4404-4b8e-9ee4-58ae45c9dcd4"
id
"resp_0dc3b79e200cb2e2016ab3ff89f78c87d195170219c4f355d5"
is_byok
false
latency
1201
model_permaslug
"openai/gpt-6-sol-20260922"
provider_name
"OpenAI"
status
200
total_cost
0.0403416
cache_discount
0.0074304
upstream_inference_cost
0
provider_name
"OpenAI"
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
16
adverbTagCount
0
adverbTags
(empty)
dialogueSentences
93
tagDensity
0.172
leniency
0.344
rawRatio
0
effectiveRatio
0
100.00%
AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount
1629
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)
93.86%
AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount
1629
totalAiIsms
2
found
0
word
"eyebrow"
count
1
1
word
"silk"
count
1
highlights
0
"eyebrow"
1
"silk"
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
121
matches
(empty)
100.00%
Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount
0
hedgeCount
0
narrationSentences
121
filterMatches
(empty)
hedgeMatches
(empty)
100.00%
Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences
198
gibberishSentences
0
adjustedGibberishSentences
0
longSentenceCount
0
runOnParagraphCount
0
giantParagraphCount
0
wordSaladCount
0
repetitionLoopCount
0
controlTokenCount
0
repeatedSegmentCount
0
maxSentenceWordsSeen
29
ratio
0
matches
(empty)
100.00%
Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans
0
markdownWords
0
totalWords
1629
ratio
0
matches
(empty)
100.00%
Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions
31
unquotedAttributions
0
matches
(empty)
32.25%
Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions
67
wordCount
1104
uniqueNames
11
maxNameDensity
2.36
worstName
"Silas"
maxWindowNameDensity
4
worstWindowName
"Silas"
discoveredNames
Prague
4
Finch
1
Silas
26
Raven
1
Nest
1
Petr
2
Golden
1
Empress
1
Rory
9
Nell
20
Blackwood
1
persons
0
"Finch"
1
"Silas"
2
"Raven"
3
"Nest"
4
"Petr"
5
"Rory"
6
"Nell"
places
0
"Prague"
1
"Golden"
globalScore
0.322
windowScore
0.333
100.00%
Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences
84
glossingSentenceCount
0
matches
(empty)
100.00%
"Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches
1
per1kWords
0.614
wordCount
1629
matches
0
"neither correct nor"
100.00%
Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount
1
totalSentences
198
matches
0
"saying that grief"
100.00%
Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs
129
mean
12.63
std
13.58
cv
1.075
sampleLengths
0
30
1
5
2
48
3
8
4
4
5
36
6
9
7
30
8
49
9
4
10
3
11
3
12
6
13
13
14
53
15
5
16
3
17
4
18
7
19
37
20
9
21
5
22
5
23
6
24
2
25
26
26
7
27
5
28
5
29
14
30
23
31
48
32
5
33
16
34
4
35
9
36
25
37
5
38
1
39
15
40
11
41
3
42
6
43
72
44
17
45
7
46
5
47
6
48
2
49
10
100.00%
Passive voice overuse
Target: ≤2% passive sentences
passiveCount
0
totalSentences
121
matches
(empty)
100.00%
Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount
0
totalVerbs
190
matches
(empty)
100.00%
Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount
0
semicolonCount
0
flaggedSentences
0
totalSentences
198
ratio
0
matches
(empty)
94.00%
Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount
1106
adjectiveStacks
1
stackExamples
0
"long black fringe she"
adverbCount
23
adverbRatio
0.020795660036166366
lyAdverbCount
1
lyAdverbRatio
0.0009041591320072332
100.00%
Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences
198
echoCount
0
echoWords
(empty)
100.00%
Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences
198
mean
8.23
std
5.41
cv
0.658
sampleLengths
0
8
1
22
2
5
3
7
4
13
5
9
6
19
7
8
8
4
9
6
10
23
11
7
12
3
13
6
14
9
15
14
16
7
17
10
18
21
19
18
20
4
21
3
22
3
23
6
24
13
25
10
26
19
27
10
28
14
29
5
30
3
31
4
32
7
33
9
34
6
35
5
36
17
37
6
38
3
39
5
40
5
41
6
42
2
43
5
44
14
45
7
46
4
47
3
48
5
49
5
47.47%
Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats
5
diversityRatio
0.2777777777777778
totalSentences
198
uniqueOpeners
55
32.05%
Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount
1
totalSentences
104
matches
0
"Then she picked up her"
ratio
0.01
77.69%
Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount
37
totalSentences
104
matches
0
"He set the glass beneath"
1
"She had cut her hair"
2
"She let go of the"
3
"His knee caught as he"
4
"She kept her eyes on"
5
"He had bought most of"
6
"He poured her drink."
7
"She lifted the glass, then"
8
"Her fingers bore the fine"
9
"She ran her thumb around"
10
"She looked at the photographs."
11
"He watched her pass over"
12
"She turned the glass so"
13
"She had once stayed awake"
14
"He could hear her, even"
15
"She gave a short laugh,"
16
"She slid her glass away."
17
"They had argued about a"
18
"She took another drink."
19
"Her face tightened at the"
ratio
0.356
0.00%
Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount
96
totalSentences
104
matches
0
"Silas caught the falling glass"
1
"The woman across the bar"
2
"He set the glass beneath"
3
"Nell Finch stood just inside"
4
"She had cut her hair"
5
"She let go of the"
6
"A man coming in behind"
7
"Nell took the stool nearest"
8
"Silas reached for a bottle"
9
"His knee caught as he"
10
"She kept her eyes on"
11
"The Raven’s Nest gave her"
12
"Maps covered the walls between"
13
"He had bought most of"
14
"He poured her drink."
15
"She lifted the glass, then"
16
"Her fingers bore the fine"
17
"The man at the far"
18
"Silas served him and came"
19
"Nell had taken a sip."
ratio
0.923
48.08%
Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount
1
totalSentences
104
matches
0
"Now her coat had a"
ratio
0.01
100.00%
Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences
49
technicalSentenceCount
2
matches
0
"Her fingers bore the fine red cracks of someone who washed them too often."
1
"Silas had looked for the woman once, years after the operation, and found an empty flat and a forwarding address that led nowhere."
100.00%
Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags
16
uselessAdditionCount
0
matches
(empty)
100.00%
Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags
16
fancyCount
0
fancyTags
(empty)
dialogueSentences
93
tagDensity
0.172
leniency
0.344
rawRatio
0
effectiveRatio
0
87.5134%