Run: 2026-10-05-01M46BQ92A290VE6RZVNB4ZK1Z

Run Details

Duration:
1m 26s
Cost:
$0.026238
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 came through the pharmacy window shoulder first, dragging a red medical case through the broken glass. Quinn stepped out from beneath the bus shelter. “Police. Put the case down.” Rain struck the pavement hard enough to bounce. Across the road, a delivery rider braked and planted both boots in the gutter. The man looked at Quinn’s warrant card, then at the unmarked car behind her. Tomás Herrera. Same cropped curls, same silver medallion she had photographed outside the Raven’s Nest two hours earlier. Blood ran from his left hand into the cuff of his coat. “Get an ambulance.” “For whom?” “Inside.” Quinn glanced through the shattered window. A pair of shoes stuck out beyond the pharmacy counter. Herrera ran. “Stop!” He cut between the delivery bike and a parked van. Quinn followed, splashing through water that reached above her shoes. A horn blared. Herrera slapped the bonnet of a turning taxi and vaulted its front corner, clutching the case against his chest. Quinn went behind it. The driver lowered his window. “He broke my bloody—” “Call an ambulance. Pharmacy across the road.” She pressed her radio. “Quinn. Suspect heading north on Camden High Street. Male, dark coat, red medical case. Possible casualty at the pharmacy opposite the bus stop. Send medical assistance and uniformed support.” Static cracked against her ear. “Repeat location.” She repeated it while running. Ahead, Herrera caught a woman by the shoulders and moved her out of his path before she stepped into him. Her umbrella tipped into the road. “Sorry. Stay against the wall.” Quinn gained six paces while he helped the woman regain her footing. “Herrera!” His head turned. “I know your name. You won’t outrun the paperwork.” “Then do it tomorrow.” He ducked into a passage beside a closed betting shop. Quinn reached the corner and stopped short of taking it blind. She pressed against the brick, looked, then moved. Bins crowded the passage. Rainwater poured from a split downpipe, washing grease and cigarette ends towards the street. Herrera stood at the far end, pulling at a wire gate with his injured hand. “Leave it.” He looked back at her. His chest heaved beneath his coat. “I didn’t hurt the man in there.” “You went through his window.” “The door wouldn’t open.” “Put down the case. Show me your hands.” He raised his bleeding hand. “You’ve seen this one.” “Both.” A voice rasped from somewhere beyond the gate. “Tommy?” Herrera turned towards it. Quinn moved forward. “Don’t.” He stamped on the bottom of the gate. The latch jumped from its socket. He slipped through the opening and pulled it across behind him. Quinn hit the wire with both palms. Rust stained her skin. By the time she freed the latch, he had crossed a yard behind a row of shops. Her radio hissed. “Unit two minutes out. Can you maintain visual?” “Negative. Checking rear access.” She stepped through the gate. Herrera had worked for the NHS until eighteen months ago. The disciplinary file listed stolen supplies, falsified records and treatments no consulting physician could identify. Since then, his bank account had gone quiet. No salary. No benefits. Cash deposits through machines scattered across London. At the Raven’s Nest, Quinn had watched him take a thick envelope from a woman whose sleeves covered her hands. Silas had stood between them and the window until the exchange finished. After Herrera left, Quinn had followed him north. Now he had a case taken from a smashed pharmacy and someone calling his name from a locked yard. She crossed beneath a fire escape. A rat scrambled out of an overflowing bin and vanished under a pallet. “Tommy?” The voice came from behind a loading bay door. Quinn pulled at the handle. Locked. “Police. Are you hurt?” No answer. Something struck the other side of the door, once, at ankle height. Quinn backed away and keyed her radio. “Second possible casualty in service yard. Access through passage beside betting shop. Loading bay door, blue paint.” “Quinn, confirm your position.” A metal shutter rattled at the far end of the yard. Herrera squeezed beneath it. She ran. The shutter dropped before she reached it, leaving a gap wide enough for her forearm. She seized its bottom edge and lifted. Pain bit across her fingers. “Herrera!” His shoes scraped concrete beyond it. “Don’t put your hand under there.” “Then lift it.” “You’ll get yourself killed following me.” “Come back and explain why.” The shutter rose a few inches. Herrera’s bleeding fingers curled beneath the edge. For a moment, she saw his face through the gap. He had rain caught in his eyebrows and a cut above his ear. “Keep your head down.” He lifted. Quinn slid underneath, coat scraping through dust and stagnant water. She rolled to one knee. Herrera let go of the shutter and backed away. She lunged for his wrist. He twisted out of her grasp, leaving blood across her sleeve, and ran down a narrow lane bordered by blank walls. “Quinn. Suspect still on foot.” Her radio answered with a burst of distortion. She tried again. Nothing. Herrera reached a recessed doorway beneath an old station sign. Someone had painted over most of the lettering. The entrance stood behind corrugated fencing, its chain secured with a padlock the size of Quinn’s fist. He did not touch the lock. He reached into his coat and brought out a pale disc on a cord. Bone, from the look of it. He pressed it against a notch in the doorframe. A bolt drew back. Quinn slowed. “Herrera. Step away from the door.” He looked down the lane towards her. “The man in the pharmacy had a pulse when I left. Tell the crew not to give him anything until they’ve checked his mouth.” “What’s in his mouth?” “Black threads. Under his tongue.” He pulled open the door. Warm air rolled out, carrying the smell of hot oil, wet wool and something sharp enough to sting Quinn’s nose. She heard voices below. Metal rang against metal. “You needed an ambulance for him.” “He needed what was in this case.” “Then why did you run?” Herrera’s grip tightened on the handle. “Because another one needed it more.” He went inside. Quinn reached the doorway before it shut. She caught it with her shoulder and looked down a flight of stairs. Yellow bulbs hung from exposed cables. Water trickled over the worn edges of the steps. Herrera had reached the first landing. “Herrera.” He stopped. “Put the case down.” A figure moved below him: a broad man in a butcher’s apron, carrying a short iron bar. Herrera leaned close to him. Their words disappeared beneath a swell of voices from farther down. The man looked up at Quinn. “No entry without a token.” She held out her warrant card. “Metropolitan Police.” “No entry without a token.” “Move away from him.” The man tapped the bar against his palm. Herrera pulled the bone disc over his head. He tossed it up the stairs. It struck a riser and slid to Quinn’s shoe. “Take that.” Then he turned and disappeared beneath the landing. Quinn crouched without taking her eyes off the man in the apron. The disc had a hole through its centre and notches cut around its rim. She picked it up between finger and thumb. The man lowered his bar. “That gets you through. Nothing else.” “What is this place?” “The Market.” “Which market?” He glanced down towards the noise. “The Veil. Are you coming in or holding the door?” Quinn pressed her radio. “Control. Quinn. Underground entrance off the service lane. Disused station access. I need support at—” The radio spat static. She stepped back into the lane and tried again. Rain drummed against the fencing. No reply. Below her, a woman shouted Herrera’s name. “Tommy! She stopped breathing.” The man in the apron turned his head. Quinn looked towards the mouth of the lane. No blue lights swept the walls. Two minutes could mean another street, another wrong turn, another locked gate. If she left the doorway to guide them in, Herrera could disappear among the voices below. She set her phone to record, spoke the address and laid it behind a loose brick beside the entrance. Then she wedged the door with a broken piece of paving slab. The man watched her descend. “You left that open.” “People are coming.” “People always came.” “Then keep out of their way.” She passed him with the bone disc clenched in her hand. At the foot of the stairs, the station opened around her. Canvas awnings stretched between iron columns. Traders had built counters across the old platform; lamps illuminated jars, bundled roots, surgical instruments and packets tied with black string. Water dripped through the ceiling into buckets placed between the stalls. A woman behind a tray of teeth drew a cloth over her stock when Quinn passed. Two men stopped arguing over a sealed tin and moved apart. Quinn spotted the red case beyond a hanging curtain of chains. “Herrera!” He stood beside a wooden table. A girl lay on it with her boots still laced. Someone had cut open her shirt. Black strands threaded the skin beneath her collarbones. Herrera snapped the case open. “Keep her shoulders down.” A woman caught the girl’s arms. Quinn pushed through the chains and reached for Herrera’s sleeve. He tore the wrapper from a syringe with his teeth. “If you arrested me, you had to do this.” Quinn caught his wrist before the needle reached the girl. “What was in it?” Herrera held the syringe still beneath her grip. “Open the blue packet. Read the label.”
created_at"2026-10-05T15:43:06.323Z" 10/5/2026, 3:43:06 PM
model"openai/gpt-6.1-sol-20260929"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency19574
moderation_latency(null)
generation_time86354
tokens_prompt1104
tokens_completion2692
native_tokens_prompt984
native_tokens_completion2427
native_tokens_completion_images0
native_tokens_reasoning376
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"
usage0.026238
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1791214986-b6YCD4LmoVym5Kqwjqzk"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1791214986-HNUwb0mzrRGtSSNCI6xF"
upstream_id"resp_049433f4987d9010016ac3c58a6be887d1bcd236a5058bbdc3"
provider_responses
0
endpoint_id"dfb9d5c3-63f9-4263-8b78-4fa97dcb3d5e"
id"resp_049433f4987d9010016ac3c58a6be887d1bcd236a5058bbdc3"
is_byokfalse
latency264
model_permaslug"openai/gpt-6.1-sol-20260929"
provider_name"OpenAI"
status200
total_cost0.026238
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
totalTags0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1613
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)
93.80% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1613
totalAiIsms2
found
0
word"shattered"
count1
1
word"pulse"
count1
highlights
0"shattered"
1"pulse"
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
narrationSentences151
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences151
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences217
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen29
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1613
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions8
unquotedAttributions0
matches(empty)
43.62% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions53
wordCount1269
uniqueNames5
maxNameDensity2.13
worstName"Quinn"
maxWindowNameDensity3
worstWindowName"Quinn"
discoveredNames
Quinn27
Herrera21
Raven2
Nest2
London1
persons
0"Quinn"
1"Herrera"
places
0"Raven"
1"London"
globalScore0.436
windowScore0.667
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences106
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1613
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences217
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs152
mean10.61
std10.84
cv1.022
sampleLengths
018
18
25
336
430
53
62
71
816
92
101
1142
129
134
147
154
1629
175
182
1931
205
2112
221
233
249
254
2610
2719
2833
292
3011
317
325
334
348
355
364
371
388
391
407
411
4225
4328
443
458
464
475
4844
4940
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences151
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs224
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount1
flaggedSentences1
totalSentences217
ratio0.005
matches
0"Traders had built counters across the old platform; lamps illuminated jars, bundled roots, surgical instruments and packets tied with black string."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1269
adjectiveStacks0
stackExamples(empty)
adverbCount20
adverbRatio0.015760441292356184
lyAdverbCount1
lyAdverbRatio0.0007880220646178094
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences217
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences217
mean7.43
std4.95
cv0.666
sampleLengths
018
18
25
38
414
514
62
716
812
93
102
111
126
1310
142
151
1610
1710
183
1919
204
215
224
237
244
2529
265
272
285
2920
306
315
3212
331
343
359
364
3710
3811
398
404
4114
4215
432
445
456
467
475
484
498
55.76% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.3456221198156682
totalSentences217
uniqueOpeners75
47.96% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences139
matches
0"Then he turned and disappeared"
1"Then she wedged the door"
ratio0.014
99.14% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount42
totalSentences139
matches
0"He cut between the delivery"
1"She pressed her radio."
2"She repeated it while running."
3"Her umbrella tipped into the"
4"His head turned."
5"He ducked into a passage"
6"She pressed against the brick,"
7"He looked back at her."
8"His chest heaved beneath his"
9"He raised his bleeding hand."
10"He stamped on the bottom"
11"He slipped through the opening"
12"Her radio hissed."
13"She stepped through the gate."
14"She crossed beneath a fire"
15"She seized its bottom edge"
16"His shoes scraped concrete beyond"
17"He had rain caught in"
18"She rolled to one knee."
19"She lunged for his wrist."
ratio0.302
42.73% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount116
totalSentences139
matches
0"The man came through the"
1"Quinn stepped out from beneath"
2"Rain struck the pavement hard"
3"The man looked at Quinn’s"
4"Blood ran from his left"
5"Quinn glanced through the shattered"
6"A pair of shoes stuck"
7"He cut between the delivery"
8"Quinn followed, splashing through water"
9"A horn blared."
10"Herrera slapped the bonnet of"
11"Quinn went behind it."
12"The driver lowered his window."
13"She pressed her radio."
14"Static cracked against her ear."
15"She repeated it while running."
16"Her umbrella tipped into the"
17"Quinn gained six paces while"
18"His head turned."
19"He ducked into a passage"
ratio0.835
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount3
totalSentences139
matches
0"By the time she freed"
1"Now he had a case"
2"If she left the doorway"
ratio0.022
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences54
technicalSentenceCount0
matches(empty)
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags0
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
92.7670%