Run: 2026-03-06-01KK1HEXGBTM069186ZTM010N5

Run Details

Model:
GPT-5.4
Duration:
1m 12s
Cost:
$0.039465
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
Rain needled the city and turned the pavements slick as oil. Soho glimmered under it, every shopfront and taxi light smeared into ribbons across the road. Detective Harlow Quinn cut between two stalled cars, shoulder first, her coat snapping behind her, breath hard and controlled through her nose. Ahead, the suspect glanced back once beneath the wash of a traffic light. Male. Mid-thirties. Dark hood. Narrow face. He clutched something under his jacket with both arms as if the parcel could bruise. Then he vaulted a stack of bin bags and vanished into an alley that stank of lager and rot. Quinn hit the alley mouth a second later. “Police. Stop.” Her voice cracked along the brick walls and came back thin under the rain. The man’s trainers slapped through puddles. He skidded around a delivery crate, knocked it over, and sent glass exploding across the ground. Quinn hurdled the crate, one hand brushing the wall to steady herself. Her leather watch stuck to her wrist. Water ran off her cropped hair into the corner of one eye. She blinked it clear and kept moving. At the alley’s end the suspect burst onto Greek Street, darted between umbrellas, and shoved through a knot of smokers huddled beneath an awning. One woman yelped as his shoulder clipped her drink. Quinn followed with less room to spare. “Out of the way.” Faces turned. A man swore at her. She ignored him. The suspect had gained ten yards. He moved like he knew these streets, cutting diagonally through traffic, using crowds as cover. Quinn watched his choices instead of his back. Left at the crossing. Past the shuttered florist. Through the lane beside the off-licence. He wasn’t running blind. He had a destination. Her radio hissed at her shoulder, drowned by rain and engines. She slapped it once. “Quinn, location?” “On foot. Suspect heading north from Greek Street,” she panted. “No uniform in sight. Stay off the air unless you’ve got something useful.” Static. Then a clipped answer from dispatch. “Armed response are tied up in Brixton. Nearest car is twelve minutes.” “Twelve minutes is a postcard.” She cut the radio and pushed harder. The lane opened onto a wider road, all white headlamps and dirty spray. The suspect leapt the barrier by a work site, landed in a trench of mud, and scrambled up the other side. Quinn took the barrier cleanly. Her soles hit wet tarmac and slipped half an inch before she caught herself. Pain flashed along her right knee, old and familiar. She fed it no attention. The man looked back again. For a beat she saw his face under the hood. Pale. Frantic. Not street bravado. Not some dealer making a run for it. This was fear with teeth in it. He veered towards Soho’s broken heart, where the old places hid behind renovated fronts and nothing stayed shut as long as it claimed. Quinn knew the pattern now. The calls nobody could place. Missing persons who reappeared with blood in their cuffs and no memory worth taking. Witnesses who lied too smoothly. The names that floated up whenever the air around a case turned wrong. The Raven’s Nest sat three streets east. She saw the green neon sign before she saw the door, buzzing through the rain like a wound that would not close. Old maps hung in the windows behind the dim glass. Black-and-white photographs stared out in pale clusters. The bar looked shut from a distance. It never was. The suspect hit the door shoulder first and disappeared inside. Quinn slowed for the first time in five minutes, not from caution but from a change in the air. She felt it every time a case touched this corner of the city. The night seemed to press in, listening. She climbed the two wet steps and pushed through. Heat struck her face. So did the smell of old wood, damp wool, whiskey, and something metallic beneath it all. The Raven’s Nest held its usual shadows close. Lamps burned low over the bar. Maps covered the walls, coastlines faded by smoke and years. The black-and-white photographs watched from every corner, strangers with hard eyes and dead fashions. Conversations clipped short as she entered. Quinn stood in the doorway, rain streaming off her coat hem onto the floorboards. “Evening,” she called. No one answered. A pair of men at a back table looked into their pints as if the foam required study. A woman in a red coat turned away from the mirror and took her glass to the far end of the bar. Somewhere in the room a chair scraped once and stopped. Behind the counter, Tomás Herrera dried a tumbler with a towel that had given up the fight hours ago. He wore a dark shirt with the sleeves rolled to the elbow. The scar along his left forearm flashed pale under the lamp. The Saint Christopher medallion at his throat caught a glint and vanished again. His warm brown eyes settled on Quinn’s soaked coat, then on her empty hands. “You looked worse last winter,” he said. “You poured bourbon on a stab wound.” “It worked.” “It ruined the shirt.” Tomás set the glass down. “You aren’t here for a drink.” “A man came in ten seconds ahead of me.” Quinn stepped further inside. Water pooled at her boots. “Dark jacket. About six foot. Looks like he’d bite through his own tongue before he answers a question. Where is he?” Tomás folded the towel and laid it flat beside the till. “If I knew every frightened man in Soho, I’d need a church, not a bar.” “You need better lies.” One of the men at the back table rose. Thick neck. Shaved head. Hands too ready. Quinn pulled her warrant card free with one smooth motion and held it where the room could see. “Sit down.” He looked at Tomás instead of her. Tomás gave him a small tilt of the chin. The man sat. Quinn tucked the card away. “The suspect was carrying a package,” she said. “I want him and I want what’s in it.” Tomás rested both hands on the bar. Rain tapped at the windows behind her. “You brought trouble to my floor.” “You let trouble through your door.” His face did not move, but his eyes flicked once past her left shoulder, towards the wall of shelves by the back corridor. Too quick for most people. Enough for Quinn. She turned her head as if checking the room. The bookshelf looked ordinary at first pass. Hardbacks with split spines. Travel guides. A brass clock that had stopped at nine-twenty. One shelf sat deeper than the others by half an inch. The floorboards in front of it showed fresher wear. Quinn looked back to Tomás. “Who’s behind the shelf?” Tomás picked up the same glass and dried the same spot. “No one you want.” “That line should come with bells.” He set the glass down again, firmer this time. “Detective, listen to me. If the man you chased came for the route I think he came for, your badge won’t carry much weight downstairs.” “Downstairs where?” “You know I can’t answer that.” “You can. You don’t like the price.” A pulse jumped in his jaw. He glanced towards the room. Every face had turned away too carefully. Quinn stepped closer to the bar until only polished wood separated them. “Three years ago my partner walked into a warehouse in Wapping chasing a witness. He never walked out. Everyone who survived that building used the same look you lot wear when the truth gets near. I’m done collecting looks.” Tomás held her gaze. The bar noise had died to the hum of fridge motors and the soft knock of rain. “I remember Morris,” he said. “He was kind to a woman on Dean Street when he didn’t need to be. He bought her tea and waited for an ambulance himself. I remember.” Quinn’s throat tightened, a brief hard fist. She did not let it show. “Then help me.” The green neon outside buzzed and spat. Tomás exhaled through his nose. “The man came in shaking. He asked for Camden.” “That means what?” “It means he wanted the Market.” Quinn felt the word settle between them with weight. “What market?” Tomás gave a short, humourless smile. “The one polite people pretend is a rumour.” He reached under the bar, and Quinn’s hand moved towards her holster before he produced only a small coin-sized object and set it on the wood. Bone, worn smooth, engraved with a symbol she did not recognise. It looked old enough to have outlived whoever carved it. “That gets a person through the first door,” he said. “Without it, some doors stay walls.” Quinn stared at the token. “The Veil Market.” Tomás did not answer, which was answer enough. “He went there with my evidence.” “He went there because something on the street scared him more than the police.” Quinn picked up the token. It felt warm. Not body heat. Something else. Her fingers wanted to let go. “What’s in Camden?” Tomás leaned closer, voice low. “An old Tube platform beneath a station that stopped existing on maps for good reasons. Traders. Fixers. Information. Things the law can’t catalogue. Things the law would burn if it could.” “And you expect me to turn around.” “I expect you to understand a border when you reach one.” Quinn slipped the token into her pocket. “I crossed one when I stepped in here.” She moved towards the bookshelf. Tomás came out from behind the bar. “Quinn.” She stopped but did not turn. “If you go down,” he said, “keep your questions short and your hands where people can see them. Don’t touch what anyone offers. Don’t name the dead if someone asks who sent you. And if you hear bells, leave.” She faced him again. “That all your friendly local medical advice?” “It’s me keeping you breathing.” “And if I bring in the suspect?” Tomás’s expression flattened. “If you can bring anyone out of there in handcuffs, I’ll buy the bourbon myself.” Quinn studied him for a beat. Rainwater dripped from her coat cuff onto the floor between them. “Open it.” Tomás looked at the bookshelf, then at the room, a landlord about to admit the roof had a crack. He crossed to the shelves and gripped the edge near the brass clock. The whole case shifted with a dry groan and swung inward on hidden hinges. Cold air breathed out. Not cellar damp. Rail dust. Stale electricity. Deep stone. Beyond the opening, a narrow stair dropped into darkness lit by weak bulbs in wire cages. Far below, somewhere under the city’s ribs, sound drifted up: metal clinking, a murmur of voices, one sharp laugh that broke like glass. Quinn stepped to the threshold and looked down. The stairs were steep, worn in the middle by a hundred secret feet. Black grime lined the edges. Old Underground tiles showed through the wall in patches, cream and green under soot. Tomás stood beside the hidden door, one hand still on the shelf. “You go alone from here.” “I noticed no one was volunteering.” “You still have a choice.” Quinn touched the token in her pocket. She thought of the suspect’s face when he looked back in the rain. Thought of Morris in a body bag zipped to the chin while senior officers spoke around her in clipped, useless phrases. Thought of how often a trail in this city ended at a wall no report could describe. From below came the distant roll of a train that should not have existed. The floorboards under her boots gave a faint tremor. She looked into the dark. Then she took the first step down.
created_at"2026-03-06T12:20:20.628Z" 3/6/2026, 12:20:20 PM
model"openai/gpt-5.4-20260305"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency434
moderation_latency(null)
generation_time72365
tokens_prompt1140
tokens_completion3087
native_tokens_prompt984
native_tokens_completion2467
native_tokens_completion_images0
native_tokens_reasoning0
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"completed"
usage0.039465
router(null)
provider_responses
0
endpoint_id"9ff5625c-403f-4d7f-b895-58ac7295062c"
id"resp_01b4b81f65e086b40169aac684b27c8197af34cc9c2be0166a"
is_byokfalse
latency178
model_permaslug"openai/gpt-5.4-20260305"
provider_name"OpenAI"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.0; linux; x64))"
http_referer(null)
api_type"completions"
id"gen-1772799620-m2MsVOAOS2UaSMeJ0McC"
upstream_id"resp_01b4b81f65e086b40169aac684b27c8197af34cc9c2be0166a"
total_cost0.039465
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags8
adverbTagCount1
adverbTags
0"Quinn stepped further [further]"
dialogueSentences58
tagDensity0.138
leniency0.276
rawRatio0.125
effectiveRatio0.034
97.46% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1968
totalAiIsmAdverbs1
found
0
adverb"carefully"
count1
highlights
0"carefully"
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)
82.22% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1968
totalAiIsms7
found
0
word"familiar"
count1
1
word"streaming"
count1
2
word"glint"
count1
3
word"flicked"
count1
4
word"weight"
count2
5
word"pulse"
count1
highlights
0"familiar"
1"streaming"
2"glint"
3"flicked"
4"weight"
5"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
narrationSentences173
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount1
narrationSentences173
filterMatches
0"watch"
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences223
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen39
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1968
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions12
unquotedAttributions0
matches(empty)
33.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions62
wordCount1478
uniqueNames16
maxNameDensity1.69
worstName"Quinn"
maxWindowNameDensity4
worstWindowName"Quinn"
discoveredNames
Harlow1
Quinn25
Greek1
Street1
Static1
Soho2
Raven2
Nest2
Tomás17
Herrera1
Saint1
Christopher1
Water2
Underground1
Morris1
One3
persons
0"Harlow"
1"Quinn"
2"Raven"
3"Nest"
4"Tomás"
5"Herrera"
6"Saint"
7"Christopher"
8"Water"
9"Underground"
10"Morris"
11"One"
places
0"Greek"
1"Street"
2"Soho"
globalScore0.654
windowScore0.333
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences109
glossingSentenceCount1
matches
0"as if checking the room"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.508
wordCount1968
matches
0"not from caution but from a change in the air"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences223
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs118
mean16.68
std17
cv1.019
sampleLengths
048
153
28
32
414
560
640
74
810
951
1015
112
1223
137
1412
155
167
1767
1835
1965
207
2149
2210
2339
249
2558
266
2714
283
2953
3055
3114
327
337
342
354
365
376
3839
3911
4015
414
4234
432
447
4512
465
4717
4814
496
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences173
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs257
matches
0"wasn’t running"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences223
ratio0
matches(empty)
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1486
adjectiveStacks1
stackExamples
0"small coin-sized object"
adverbCount42
adverbRatio0.02826379542395693
lyAdverbCount6
lyAdverbRatio0.004037685060565276
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences223
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences223
mean8.83
std6.46
cv0.732
sampleLengths
011
115
222
313
41
51
62
72
815
919
108
112
1214
136
1416
1512
167
1712
187
1924
209
217
224
232
245
253
266
2715
288
294
304
316
324
334
3411
354
362
3710
3813
391
406
4112
425
437
4413
4521
465
4714
489
495
55.90% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats12
diversityRatio0.36771300448430494
totalSentences223
uniqueOpeners82
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount5
totalSentences151
matches
0"Then he vaulted a stack"
1"Then a clipped answer from"
2"Somewhere in the room a"
3"Too quick for most people."
4"Then she took the first"
ratio0.033
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount37
totalSentences151
matches
0"He clutched something under his"
1"Her voice cracked along the"
2"He skidded around a delivery"
3"Her leather watch stuck to"
4"She blinked it clear and"
5"She ignored him."
6"He moved like he knew"
7"He wasn’t running blind."
8"He had a destination."
9"Her radio hissed at her"
10"She slapped it once."
11"She cut the radio and"
12"Her soles hit wet tarmac"
13"She fed it no attention."
14"He veered towards Soho’s broken"
15"She saw the green neon"
16"It never was."
17"She felt it every time"
18"She climbed the two wet"
19"He wore a dark shirt"
ratio0.245
75.89% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount116
totalSentences151
matches
0"Rain needled the city and"
1"Soho glimmered under it, every"
2"Detective Harlow Quinn cut between"
3"He clutched something under his"
4"Quinn hit the alley mouth"
5"Her voice cracked along the"
6"The man’s trainers slapped through"
7"He skidded around a delivery"
8"Quinn hurdled the crate, one"
9"Her leather watch stuck to"
10"Water ran off her cropped"
11"She blinked it clear and"
12"Quinn followed with less room"
13"A man swore at her."
14"She ignored him."
15"The suspect had gained ten"
16"He moved like he knew"
17"Quinn watched his choices instead"
18"He wasn’t running blind."
19"He had a destination."
ratio0.768
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences151
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences60
technicalSentenceCount3
matches
0"Missing persons who reappeared with blood in their cuffs and no memory worth taking."
1"A pair of men at a back table looked into their pints as if the foam required study."
2"Far below, somewhere under the city’s ribs, sound drifted up: metal clinking, a murmur of voices, one sharp laugh that broke like glass."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags8
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags7
fancyCount1
fancyTags
0"she panted (pant)"
dialogueSentences58
tagDensity0.121
leniency0.241
rawRatio0.143
effectiveRatio0.034
91.2936%