Run: 2026-10-05-01M46B3231WM3JN5Y8A6FQJNKQ

Run Details

Duration:
1m 36s
Cost:
$0.026158
Provider:
OpenAI

Model input

System
You are an expert fiction writer. Always keep the following rules in mind: - Write in past tense and use General English spelling, grammar, and colloquialisms/slang. - Write in active voice - Always follow the "show, don't tell" principle. - Avoid adverbs and cliches and overused/commonly used phrases. Aim for fresh and original descriptions. - Convey events and story through dialogue. - Mix short, punchy sentences with long, descriptive ones. Drop fill words to add variety. - Skip "he/she said said" dialogue tags and convey people's actions or face expressions through their speech - Avoid mushy dialog and descriptions, have dialogue always continue the action, never stall or add unnecessary fluff. Vary the descriptions to not repeat yourself. - Put dialogue on its own paragraph to separate scene and action. - Reduce indicators of uncertainty like "trying" or "maybe" When writing text: - NEVER conclude the scene on your own, follow the beat instructions very closely. - NEVER end with foreshadowing. - NEVER write further than what I prompt you with. - AVOID imagining possible endings, NEVER deviate from the instructions. - STOP EARLY if the continuation contains what was required in the instructions. You do not need to fill out the full amount of words possible.
User/Human
Take into account the following glossary of characters/locations/items/lore... when writing your response: <codex> <character id="4416" name="Detective Harlow Quinn" aliases="Quinn, Detective Quinn, Harlow" pronouns="she/her" species="Human" storyRole="Antagonist"> <eyeColor>brown</eyeColor> <hair>closely cropped salt-and-pepper</hair> <height>5'9"</height> <age>41</age> <jawline>sharp jaw</jawline> <watch>worn leather watch on her left wrist</watch> <bearing>military precision</bearing> <description>A Metropolitan Police detective with 18 years of decorated service who suspects the clique is involved in criminal activity.</description> <backstory>She lost her partner, DS Morris, during a case three years ago under unexplained circumstances that had supernatural origins she doesn't yet understand.</backstory> </character> <character id="4417" name="Tomás Herrera" aliases="Tommy, Tomás, Herrera" pronouns="he/him" species="Human" storyRole="Support"> <eyeColor>warm brown</eyeColor> <hair>short curly dark brown</hair> <height>5'10"</height> <age>29</age> <skinTone>olive skin</skinTone> <scar>scar running along his left forearm from a knife attack</scar> <medallion>Saint Christopher medallion around his neck</medallion> <birthplace>Seville, Spain</birthplace> <description>A former paramedic who provides off-the-books medical care for the clique.</description> <backstory>Born in Seville, Spain. He moved to London to work for the NHS but lost his license after administering unauthorized treatments to supernatural patients.</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> <location id="856" name="The Veil Market" aliases="Veil Market, the Market, underground market" realm="Earth"> <currentLocation>abandoned Tube station beneath Camden</currentLocation> <entryRequirement>bone token</entryRequirement> <schedule>moves locations every full moon</schedule> <description>A hidden supernatural black market that sells enchanted goods, banned alchemical substances, and information.</description> </location> </codex> Continue the story using the following instructions: <instructions> Write a fully fleshed out scene of at least 1000 words in the thriller genre. A detective is pursuing a suspect through rain-soaked city streets at night. The chase takes them from the street level down into an underground market. The detective must decide whether to follow the suspect into unfamiliar and potentially dangerous territory. Use the codex entries above as your world reference for characters and setting. Only include the prose of the scene without any markdown or commentary. </instructions>

Model response

AI
The man dropped the canvas bag when Quinn caught his sleeve. Glass struck the pavement inside it. He drove his shoulder into her chest, tore free, and ran across Camden High Street between a bus and a black cab. A horn blared. Quinn hit the cab’s bonnet with her palm and pushed past it. “Police! Stop!” Tomás Herrera looked back once. Rain flattened his dark curls against his forehead. His Saint Christopher medallion bounced against his throat, bright beneath the streetlights, before he ducked into the passage beside a shuttered takeaway. Quinn followed. Her boots slipped on a flattened carton. She caught the brick wall, scraped her knuckles, and kept moving. Ahead, Herrera knocked a stack of delivery crates into the passage. One caught her shin. She kicked it aside. “Control, Quinn. Foot pursuit. Male suspect heading east from Camden High Street. Dark jacket, grey trousers.” Static scratched through her earpiece. “Repeat location.” She gave the street name. Herrera reached the end of the passage and turned left. “Suspect is Tomás Herrera. I need units covering the canal.” “Is he armed?” Quinn glanced at the blood on her hand. Her own, from the brickwork. “Unknown.” She had watched him leave the Raven’s Nest forty minutes earlier carrying that bag. Under the Soho bar’s green neon sign, he had checked both sides of the street before getting into a minicab. Quinn had followed him to Camden, waited until he approached the shuttered takeaway, then stepped out with her warrant card. At the bar, he had been careful. Here, he had run before she finished giving her name. She came out of the passage into a street crowded with bins. Herrera had opened a lead of thirty yards. He ran with his left arm tucked against his ribs. “The bag’s back there!” Quinn shouted. “You’ve left whatever you were carrying!” He kept running. A refuse lorry blocked the junction. Herrera squeezed between its rear bumper and a parked van. Quinn followed, turning sideways to get through. Grease smeared her coat. Beyond the lorry, he vaulted a low railing and landed beside a recessed doorway. He reached for the handle. Locked. Quinn slowed enough to draw her baton. “Hands where I can see them.” Herrera pulled at the door again. A long scar showed where his sleeve rode up. “Listen to me. There’s a woman down there who needs what’s in that bag.” “Then you should have stayed with it.” “She doesn’t have time for an interview.” “Give me an address. I’ll call an ambulance.” His hand stopped on the door handle. He looked at her, then at the radio clipped to her coat. “No ambulance.” “Your NHS file mentioned that preference.” His mouth tightened. “You read the part about the three people who lived?” “I read the part where you stole controlled drugs and treated patients without recording their names.” “Put the baton away.” “Step away from the door.” A latch clicked on the other side. Herrera shoved the door open, struck Quinn’s wrist with his forearm, and slipped through. The baton hit the frame. Pain shot into her elbow. She caught the door before it closed. A man in a delivery apron stood inside with a cigarette between his fingers. Herrera had already crossed the narrow storeroom and kicked open a second door at the back. “Which way?” The man looked at her warrant card. “Never seen him.” Quinn pushed past a trolley loaded with cooking oil. “You opened the door for him.” “Thought he was the chef.” She reached the rear exit. Herrera ran across a service yard, splashing through standing water towards a gap in a corrugated fence. Quinn pressed her radio. “Control, suspect entered premises off—” A metal bin lid struck the wall beside her head. She ducked and turned. The man in the apron had another lid in his hands. “Put it down.” He lifted it. Quinn crossed the distance before he could throw. She drove her baton across his wrist, kicked the lid away, and forced him against the trolley. “Stay here.” He cradled his hand against his stomach. “That’s assault.” “Report it.” She went out through the rear door. Herrera had vanished. Rain struck the yard’s metal roofs and poured from a broken gutter. Quinn reached the fence, pulled apart two loose sheets, and found blood on the edge of one. Beyond it lay a disused access road bordered by railway arches. A padlock swung from a gate across the road. Someone had cut it. She pushed through. “Quinn, response unit three minutes out. Confirm your position.” “Service road behind the railway arches. There’s a cut lock. I’m continuing on foot.” “Hold for support.” A scrape came from below ground. Quinn stopped beside a concrete structure set into the base of an arch. Layers of posters covered its entrance, one peeling strip exposing faded tiles beneath. A steel door stood open six inches. She shone her torch through the gap. Stairs descended beyond it. “Control, I’ve got a possible access point to an old station. North side of the service road. Steel door beneath the railway arch.” “Quinn, hold your position.” Herrera’s voice rose from the stairwell. “I need a clean needle. And get her brother away from the bed.” Another voice answered, too low for Quinn to catch. She pulled the door open. The smell reached her before the sound did: wet concrete, hot oil, something medicinal with the sour edge of disinfectant. Below, people talked over the clatter of wheels and the knock of metal against metal. She went down six steps. “Tomás Herrera!” The voices stopped. A yellow lamp lit the first landing. Herrera stood beneath it beside a woman in a heavy apron. She held his left wrist over a bowl. Blood dripped from his hand. He looked up at Quinn. “Don’t come down.” “Stay where you are.” The woman squeezed his wrist. He flinched, but kept his eyes on Quinn. “You need to go back to the street.” “Then come with me.” “I can’t.” The woman pulled a narrow black object from his palm with tweezers. It struck the bowl with a click. Herrera snatched his hand away, took something pale from his jacket pocket, and placed it against a recess in the tiled wall. A door opened beneath the lamp. He stepped through. Quinn descended the remaining stairs and caught the woman’s apron before she could follow. “Where does that go?” The woman looked down at Quinn’s hand. “Take that off.” “Where does it go?” “The Market.” “What market?” “The Veil. And you’ve brought nothing to trade.” Quinn released her and moved to the door. It had shut. She found no handle, just the shallow recess where Herrera had placed the pale object. “Open it.” “Have you got a token?” “What kind?” “Bone.” Quinn looked at the bowl. Blood surrounded the object the woman had extracted from Herrera’s hand: a black splinter, tapered at both ends. Beneath the lamp it moved. She brought her torch closer. The splinter bent towards the light. The woman covered the bowl with a cloth. “Keep that away.” “What was it?” “Something he pulled out of a patient.” Quinn reached for her radio. “Control, I’ve located an occupied underground site. Suspect passed through an internal door. I need—” Her earpiece crackled, then fell silent. “Control?” She checked the display. The battery indicator remained full. The woman took a roll of gauze from a shelf and wiped Herrera’s blood from her fingers. “Nothing gets through down here.” Quinn backed up three stairs. Her radio gave a burst of static. “Quinn, report.” “Occupied site beneath the access road. Multiple persons. Herrera’s inside. Send the unit to the open steel door.” “Remain at the entrance. Do not—” The signal broke as Quinn returned to the landing. The woman folded the stained gauze. “You heard them.” Quinn tried the tiled door with her shoulder. It did not shift. “Is there another exit?” “For people with business here.” “Is he carrying a weapon?” “He carried medicine. You made him drop it.” Quinn studied the recess. Pale dust clung to its lower edge. Beside her boot lay a small carved disc, half-hidden beneath the woman’s apron. She stooped. The woman put her foot over it. Quinn straightened, her baton held low. “Move your foot.” “That isn’t yours.” “Neither was the bag he dropped.” “You can wait for your friends upstairs. Take him when he comes out.” “And how long will that be?” The woman gave no answer. Quinn pressed the end of her baton against the woman’s shoe and slid it aside. She picked up the disc. A hole pierced its centre, and a length of broken black cord hung from it. Tiny cuts covered its surface. It felt warm despite the cold stairwell. On the wall above the lamp, someone had scratched three dates into the tile. All fell about a month apart. Beneath the last, a chalk arrow pointed towards the door. “This place moves.” The woman watched the token in Quinn’s fingers. “At the full moon.” “How many ways out?” “You’re not listening.” Quinn looked up the stairs. Rain blew through the opening at street level. A siren sounded beyond the arch, faint beneath the water hammering the roof. Three minutes. She could go back up, secure the entrance, wait for officers with radios that worked and someone who knew what lay beneath Camden. A shout came through the tiled door. “Tommy! She’s stopped breathing!” Herrera answered, his voice sharp enough to carry. “Move the table. Give me room.” Quinn took a breath and fitted the disc into the recess. The woman caught her wrist, just above the worn leather strap of her watch. “No warrant means anything in there.” Quinn pulled free. “Then keep your hands off me.” The door slid aside. Electric cables crossed the ceiling of a station concourse. Stalls filled the space beneath them, lit by bare bulbs and lamps with coloured glass. A butcher’s scale held a silver coil that tightened as Quinn watched. Bottles stood behind locked mesh. People turned towards the open door, coins paused between their fingers. Across the concourse, Herrera knelt beside a table. A woman lay on it with her shirt cut open at the throat. He pressed both hands against her chest. Quinn clipped the token inside her coat, stepped through the doorway, and raised her warrant card. “Clear a path to that table.”
created_at"2026-10-05T15:32:03.82Z" 10/5/2026, 3:32:03 PM
model"openai/gpt-6.1-sol-20260929"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency12968
moderation_latency(null)
generation_time95542
tokens_prompt1104
tokens_completion2783
native_tokens_prompt984
native_tokens_completion2419
native_tokens_completion_images0
native_tokens_reasoning181
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
num_fetches(null)
web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"completed"
service_tier"default"
usage0.026158
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1791214323-crgTxExjMIxdaOCkFW9v"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1791214323-LhzcZkjmrM2YVP5pL1aA"
upstream_id"resp_089da2600a364b5f016ac3c2f3ef7887d18c9b65c9a46765f9"
provider_responses
0
endpoint_id"dfb9d5c3-63f9-4263-8b78-4fa97dcb3d5e"
id"resp_089da2600a364b5f016ac3c2f3ef7887d18c9b65c9a46765f9"
is_byokfalse
latency377
model_permaslug"openai/gpt-6.1-sol-20260929"
provider_name"OpenAI"
status200
total_cost0.026158
cache_discount(null)
upstream_inference_cost0
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
totalTags1
adverbTagCount0
adverbTags(empty)
dialogueSentences78
tagDensity0.013
leniency0.026
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1738
totalAiIsmAdverbs0
found(empty)
highlights(empty)
100.00% AI-ism character names
Target: 0 AI-default names (17 tracked, −20% each)
codexExemptions(empty)
found(empty)
100.00% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
91.37% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1738
totalAiIsms3
found
0
word"stomach"
count1
1
word"structure"
count1
2
word"electric"
count1
highlights
0"stomach"
1"structure"
2"electric"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches0
maxInWindow0
found(empty)
highlights(empty)
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences152
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences152
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences229
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen23
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1738
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions9
unquotedAttributions0
matches(empty)
0.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions65
wordCount1299
uniqueNames11
maxNameDensity2.62
worstName"Quinn"
maxWindowNameDensity5
worstWindowName"Quinn"
discoveredNames
Quinn34
Camden3
High1
Street1
Herrera18
Saint1
Christopher1
Raven1
Nest1
Soho1
Rain3
persons
0"Quinn"
1"Herrera"
2"Saint"
3"Christopher"
4"Raven"
5"Rain"
places
0"Camden"
1"High"
2"Street"
3"Soho"
globalScore0.191
windowScore0
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences102
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1738
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences229
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs164
mean10.6
std10.7
cv1.009
sampleLengths
039
115
22
335
42
537
616
75
82
915
1010
113
1213
131
1454
1517
1630
1712
183
1927
2019
211
227
236
2415
2514
267
277
288
2919
302
316
323
3310
3416
354
365
377
3824
397
4030
412
427
433
449
456
465
4722
484
495
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences152
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs237
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences229
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1300
adjectiveStacks0
stackExamples(empty)
adverbCount18
adverbRatio0.013846153846153847
lyAdverbCount0
lyAdverbRatio0
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences229
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences229
mean7.59
std4.82
cv0.635
sampleLengths
011
16
222
33
412
52
65
78
822
92
107
1111
1211
134
144
1516
165
172
185
1910
2010
213
228
235
241
2514
2620
2720
287
2910
3012
318
3210
336
346
353
366
3710
387
394
4014
415
421
437
446
456
469
4714
487
497
59.83% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats3
diversityRatio0.36681222707423583
totalSentences229
uniqueOpeners84
22.68% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences147
matches
0"All fell about a month"
ratio0.007
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount42
totalSentences147
matches
0"He drove his shoulder into"
1"His Saint Christopher medallion bounced"
2"Her boots slipped on a"
3"She caught the brick wall,"
4"She kicked it aside."
5"She gave the street name."
6"Her own, from the brickwork."
7"She had watched him leave"
8"She came out of the"
9"He ran with his left"
10"He kept running."
11"He reached for the handle."
12"His hand stopped on the"
13"He looked at her, then"
14"His mouth tightened."
15"She caught the door before"
16"She reached the rear exit."
17"She ducked and turned."
18"He lifted it."
19"She drove her baton across"
ratio0.286
14.42% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount131
totalSentences147
matches
0"The man dropped the canvas"
1"Glass struck the pavement inside"
2"He drove his shoulder into"
3"A horn blared."
4"Quinn hit the cab’s bonnet"
5"Tomás Herrera looked back once."
6"Rain flattened his dark curls"
7"His Saint Christopher medallion bounced"
8"Her boots slipped on a"
9"She caught the brick wall,"
10"She kicked it aside."
11"Static scratched through her earpiece."
12"She gave the street name."
13"Herrera reached the end of"
14"Quinn glanced at the blood"
15"Her own, from the brickwork."
16"She had watched him leave"
17"Quinn had followed him to"
18"Here, he had run before"
19"She came out of the"
ratio0.891
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences147
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences51
technicalSentenceCount0
matches(empty)
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags1
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags1
fancyCount1
fancyTags
0"Quinn shouted (shout)"
dialogueSentences78
tagDensity0.013
leniency0.026
rawRatio1
effectiveRatio0.026
86.2764%