Run: 2026-10-05-01M46BPRCH1MXEDE4M9S765G1D

Run Details

Duration:
1m 41s
Cost:
$0.031468
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="4414" name="Eva Kowalski" aliases="Eva, Evie" pronouns="she/her" species="Human" storyRole="Best Friend"> <eyeColor>green</eyeColor> <hair>curly red</hair> <height>5'4"</height> <age>26</age> <glasses>round glasses</glasses> <satchel>worn leather satchel full of books</satchel> <freckles>freckled complexion</freckles> <nervousHabit>tucking hair behind her left ear</nervousHabit> <description>Aurora's childhood friend and an occult researcher.</description> <backstory>Moved to London two years before Aurora and works as a research assistant at the British Museum's restricted archives. She holds a master's degree in Ancient History from Oxford.</backstory> </character> <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> <item id="2004" name="Veil Compass" aliases="the Compass, shadow compass" type="Tool" origin="The Veil Market"> <casingMaterial>small brass compass</casingMaterial> <faceMarkings>face etched with protective sigils</faceMarkings> <needle>points toward the nearest supernatural rift or portal</needle> <patina>casing has a patina of verdigris</patina> <creator>crafted by a Shade artisan</creator> <description>A compass attuned to supernatural energy.</description> </item> </codex> Continue the story using the following instructions: <instructions> Write a fully fleshed out scene of at least 1000 words in the mystery genre. A detective arrives at a crime scene in an unusual location. Something is wrong — the evidence doesn't add up. A colleague is present, offering a different interpretation. Through careful observation and deduction, the detective begins to see what others have missed. 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 stairs ended at a ticket barrier with no machines, no power and a row of small teeth threaded onto copper wire. Quinn stopped before the wire. “Tell me someone photographed that before touching it.” DS Malik held the barrier open with his shoulder. Plaster dust marked his dark coat. “First officer took pictures. He thought it was an art installation.” “And you?” “I thought Camden had run out of places to put one.” Quinn ducked beneath the teeth. Her torch picked out green tile, stripped cable and an advertisement for a department store that had closed before she joined the police. Beyond the barrier, lamplight filled an abandoned platform. Tables crowded the platform edge. Glass jars held objects that shifted when her light crossed them. Someone had thrown blankets over two cages. A stall displayed silver instruments on black velvet, each instrument too narrow for surgery and too elaborate for eating. Quinn kept her hands clear. “Who cleared this?” “Uniforms. Twenty-three people up on the street. No one wants to give a name. Six claim diplomatic immunity.” “From where?” “One mentioned a duchy that doesn’t appear on a map.” She looked at him. Malik lifted his notebook. “I wrote it down.” At the far end of the platform, a woman stood beside a constable. Curly red hair escaped from behind her left ear. She clutched the strap of a worn leather satchel against her chest. Quinn recognised her from the surveillance photographs. “Eva Kowalski.” Eva pushed her round glasses up her nose. “Am I under arrest?” “Not at present.” “Then I need my bag back.” The constable held the satchel beyond her reach. A book’s split spine protruded beneath the flap. Quinn turned to Malik. “Was she with the body?” “She found it.” “I found the room.” Eva’s fingers tightened on the strap. “There’s a difference.” “We’ll establish it.” Quinn walked past her. Malik caught up at a steel door beneath a sign that read SIGNAL EQUIPMENT. Someone had painted a blue circle over the lettering, then scored it through with three diagonal cuts. He pointed at the lock. “Bolt on the inside. Maintenance access runs behind it, but the far end’s bricked up. No second exit. Fire brigade cut the bolt.” “What brought them to the door?” “Kowalski heard something. She fetched a stallholder. They knocked, got nothing, called us.” Quinn examined the severed bolt without crossing the threshold. Bright tool marks interrupted its dark surface. Rust coated the keep. “Who called us?” Malik consulted his notebook. “Anonymous caller. Public phone on Camden High Street.” “Ms Kowalski fetched a stallholder, and someone went up to the street?” “That’s the account.” Quinn held out a hand for overshoes. The room contained a wooden table, a broken chair and a man on the floor. He lay on his back with his feet towards the door. His right hand rested against his ribs; his left extended towards a strip of bare wall. A dark wool coat covered his torso. Blood had gathered beneath his head, though the visible wound lay below his breastbone. A small brass compass sat beside his open left hand. The photographer lowered his camera. “Ready for you.” “Keep going. I won’t touch him yet.” Quinn crouched beyond the blood. The dead man’s mouth hung open. A pale disc rested between his lower teeth and his tongue. “Has anyone moved that?” “No.” Malik leaned against the doorframe, then straightened when Quinn glanced at his feet. “Medic confirmed death and withdrew.” “Identity?” “Nothing on him. Stallholders call him Venn. Information broker, according to Kowalski.” “According to the people who won’t give us their names?” “Correct.” Quinn moved her torch across the coat. Four buttons fastened it from chest to waist. Each sat through its buttonhole. No tear broke the wool over the wound. Malik opened his notebook again. “My reading: private meeting, argument, stabbing. Killer took his wallet and whatever he brought to sell. Victim locked the door after the assault.” “With what?” “His hand.” “The bolt’s above shoulder height. Where’s the blood on it?” “He could have used his other hand.” She lifted her torch towards the wall beside the door. No red mark interrupted the dust. “And then crossed the room.” “People move after being stabbed.” “They do.” She shifted her weight, careful to keep her knees clear of the floor. “But this one buttoned his coat first.” Malik looked at the corpse. Quinn directed the light across the cloth again. “Shirt’s cut. Coat isn’t. He either opened it for the knife or someone dressed him afterwards.” “Could have been cold.” “He also lay down with his head at the lowest point in the room.” A shallow channel ran beneath the table towards a blocked floor drain. The blood occupied that channel, but its edges looked diluted, pale pink against the concrete. Quinn stood. “Get the examiner to look at the fluid around his head before anyone rolls him. And I want the coat photographed button by button.” Malik made the call. At the threshold, Eva shifted around the constable to see inside. “That isn’t where he kept it.” Quinn turned. “Kept what?” “The Compass.” “You recognise it?” “Yes.” “Then stay outside the room and tell me.” Eva tucked a curl behind her left ear. It sprang free. “Brass case. Green around the hinge. Protective sigils around the face. A Shade artisan made it.” “A name, Ms Kowalski.” “That was the maker’s—” “A person’s name.” “I don’t know one.” Quinn looked back at the object. Verdigris filled the narrow groove around its lid. Its needle pointed towards the tiled wall, away from the platform. “Why wouldn’t he keep it there?” “He wore it under his shirt. There was a cord.” Quinn shone her torch along the dead man’s neck. A narrow red groove passed beneath his collar. She could see no cord. “Did you see him wearing it tonight?” “Yes. At his stall.” “When?” “Around nine.” “It’s eleven forty.” Quinn checked the worn leather watch on her left wrist. “What happened between those times?” “He left. I went looking for him.” “Why?” “I had a question.” “About?” Eva glanced at Malik. Quinn stepped between them. “He’s on the same case.” “A passage in a ledger. Venn offered to identify the place it described.” “What place?” “He hadn’t told me.” “What did you hear at this door?” Eva pressed her lips together, then released them. “A cough. Then water.” “Running water?” “Like someone emptied a bucket.” Quinn looked at the blocked drain. Malik lowered his phone. “There are pipes in the ceiling. This station floods. She heard plumbing.” “Show me the pipe.” He pointed above the table. A thick iron pipe followed the ceiling and disappeared through the wall. Quinn swept her torch along it. Dust coated the joints. Cobwebs bridged the gap between the pipe and a broken bracket. “No drip marks. No break.” “Condensation, then.” “On his shirt but not his coat?” She crouched again, this time near the feet. The man’s shoes had clean black uppers and grey dust across their soles. His trouser hems looked darker than the cloth above them. A grain of something white lodged against his right sock. “Macro shot here.” The photographer bent beside her. “And the floor from the threshold to his feet.” Malik watched the camera flash. “What are you looking for?” “A way in.” “We’ve checked the other end.” “For him. Not for us.” She indicated the soles. “He has platform dust on both shoes. There’s dust at the door. Where are his footprints?” “Scuffed out.” “By whom? We’ve got the medic’s prints going to his neck. Fire crew stayed at the threshold until the bolt came off. Your report says nobody else entered.” Malik looked down at the floor. The dust lay in a pale sheet beneath the table and around the broken chair. Near the body, wet spots had punctured it, leaving small rings. Quinn pointed at one. “He dripped here. Not along the route from the door.” Eva spoke from the threshold. “He didn’t come through the door.” Malik shut his notebook. “The door was bolted. That doesn’t turn a wall into an entrance.” “No,” Quinn answered. “It doesn’t.” She looked at Eva. “What’s in his mouth?” “A token. You need one to enter the Market.” “Everyone had one?” “Yes.” “Why put it in his mouth?” “I don’t know.” Quinn held Eva’s gaze until the younger woman looked back at the body. “The stalls move every full moon. The token gets you past the entrance. That’s all I know about that one.” “Where did you get yours?” “Venn.” “You came to ask him a question, but he’d already supplied your admission.” “I knew him before tonight.” Malik reopened his notebook. “You left that out.” “You asked whether I worked here.” Quinn raised a hand before he answered. “Record her wording. Don’t improve it.” She moved to the bare strip of wall beside the dead man’s hand. Most of the room carried the same green tiles as the passage, but here someone had removed a rectangle at chest height and filled it with grey plaster. Three scratches cut its surface. Blue pigment clung inside the lowest one. Quinn glanced at the mark on the door. “Photograph both.” Malik approached without crossing the wet spots. “Gang mark?” “Perhaps. Get impressions before anyone cleans it.” She directed her light towards the bottom of the patch. Water had darkened the plaster along a crooked edge. A short black fibre clung to it. The compass needle trembled. Quinn shifted her torch away from the brass case. The needle held its line towards the patch. “Is that magnetic?” Eva gripped the doorframe. “It doesn’t point north.” “What does it point towards?” “An opening.” Malik let out a breath through his nose. “There’s track bed on the other side. We had a constable walk it.” Quinn measured the patch with her eyes, then looked at the table. One leg stood inside a square of lighter dust. The other three sat beyond theirs. “Someone moved this.” “To make room for him.” “Then why move it back?” She bent to inspect the nearest leg. A crescent of blood marked the wood on the side facing the wall. The floor beneath it held no corresponding smear. “Photograph that before sampling.” Malik crouched beside her. His expression changed as he followed the leg to the floor. “The blood predates the move.” “Yes.” Quinn traced the route without touching anything: table, patch, body. Whoever moved the table had brought its stained leg away from the wall and set it down without dragging it through the pool. She looked at the victim’s outstretched hand. His fingers curled towards his palm, not towards the compass. Grey material packed the nails of his index and middle fingers. “Plaster under those nails. Separate samples from each.” Eva’s hand slipped from the doorframe. “Venn hated enclosed rooms.” Quinn turned towards her. “Then why agree to meet someone in one?” “He wouldn’t.” Malik straightened. “Unless he knew them.” Quinn examined the patch again. Four shallow depressions crossed its lower half. They formed a vertical line, spaced at unequal intervals. She brought her light down to the dead man’s coat. Four buttons. The top two sat close together; a larger gap separated the bottom pair. “Get a scale against the wall.” The photographer placed a forensic ruler beside the depressions. Quinn checked the spacing against the coat without moving it. Then she leaned close enough to see the black fibre embedded in the lowest hollow. “Malik. Look at the edges.” He angled his torch across the plaster. Each depression carried a raised lip along its lower side. “Something pressed into it.” “His buttons.” “Facing the wall?” “Against it. While this surface was soft.” Malik looked from the sealed patch to the coat, then back. Quinn held her torch across the lowest impression. “Photograph the fibre where it sits. Then take a sample of the plaster from inside that mark. I want to know what touched his coat.”
created_at"2026-10-05T15:42:49.24Z" 10/5/2026, 3:42:49 PM
model"openai/gpt-6.1-sol-20260929"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency20442
moderation_latency(null)
generation_time101178
tokens_prompt1112
tokens_completion3332
native_tokens_prompt1009
native_tokens_completion2945
native_tokens_completion_images0
native_tokens_reasoning328
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"
usage0.031468
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1791214969-W01HTL0m9zbm5jrZfpMO"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1791214969-9IXM6X9vKLrdKSu7Y6QT"
upstream_id"resp_0d2de51159b4ad86016ac3c579581487d1b4a5b3b6693778eb"
provider_responses
0
endpoint_id"dfb9d5c3-63f9-4263-8b78-4fa97dcb3d5e"
id"resp_0d2de51159b4ad86016ac3c579581487d1b4a5b3b6693778eb"
is_byokfalse
latency275
model_permaslug"openai/gpt-6.1-sol-20260929"
provider_name"OpenAI"
status200
total_cost0.031468
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
totalTags4
adverbTagCount0
adverbTags(empty)
dialogueSentences137
tagDensity0.029
leniency0.058
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount2004
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)
85.03% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount2004
totalAiIsms6
found
0
word"velvet"
count1
1
word"weight"
count1
2
word"trembled"
count1
3
word"magnetic"
count1
4
word"measured"
count1
5
word"traced"
count1
highlights
0"velvet"
1"weight"
2"trembled"
3"magnetic"
4"measured"
5"traced"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"let out a breath"
count1
highlights
0"let out a breath"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences139
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount1
narrationSentences139
filterMatches
0"watch"
hedgeMatches
0"tended to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences272
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen28
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords2004
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions15
unquotedAttributions0
matches(empty)
12.19% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions66
wordCount1161
uniqueNames4
maxNameDensity2.76
worstName"Quinn"
maxWindowNameDensity4.5
worstWindowName"Quinn"
discoveredNames
Malik20
Quinn32
Eva11
Four3
persons
0"Malik"
1"Quinn"
2"Eva"
places(empty)
globalScore0.122
windowScore0.167
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences96
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount2004
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences272
matches
0"occupied that channel"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs213
mean9.41
std9.31
cv0.99
sampleLengths
022
15
28
315
411
52
611
736
842
95
103
1118
122
1310
148
154
1634
177
182
198
204
213
226
2316
244
255
263
2713
283
2935
305
3123
326
3313
3420
353
364
378
3812
393
407
4163
4210
435
443
457
465
4717
484
4919
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences139
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs191
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount2
flaggedSentences2
totalSentences272
ratio0.007
matches
0"His right hand rested against his ribs; his left extended towards a strip of bare wall."
1"The top two sat close together; a larger gap separated the bottom pair."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1161
adjectiveStacks0
stackExamples(empty)
adverbCount21
adverbRatio0.01808785529715762
lyAdverbCount1
lyAdverbRatio0.0008613264427217916
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences272
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences272
mean7.37
std4.99
cv0.677
sampleLengths
022
15
28
39
46
511
62
711
85
923
108
115
1211
137
1419
155
163
1718
182
1910
204
214
224
2313
249
2512
267
272
288
294
303
316
328
338
344
355
363
3710
383
393
404
4114
4217
435
4423
456
4613
479
487
494
62.38% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats2
diversityRatio0.3786764705882353
totalSentences272
uniqueOpeners103
24.88% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences134
matches
0"Then she leaned close enough"
ratio0.007
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount25
totalSentences134
matches
0"Her torch picked out green"
1"She looked at him."
2"She clutched the strap of"
3"He pointed at the lock."
4"He lay on his back"
5"His right hand rested against"
6"She lifted her torch towards"
7"She shifted her weight, careful"
8"It sprang free."
9"Its needle pointed towards the"
10"She could see no cord."
11"He pointed above the table."
12"She crouched again, this time"
13"His trouser hems looked darker"
14"She indicated the soles."
15"She looked at Eva."
16"She moved to the bare"
17"She directed her light towards"
18"She bent to inspect the"
19"His expression changed as he"
ratio0.187
23.43% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount117
totalSentences134
matches
0"The stairs ended at a"
1"Quinn stopped before the wire."
2"DS Malik held the barrier"
3"Plaster dust marked his dark"
4"Quinn ducked beneath the teeth."
5"Her torch picked out green"
6"Tables crowded the platform edge."
7"Glass jars held objects that"
8"Someone had thrown blankets over"
9"A stall displayed silver instruments"
10"Quinn kept her hands clear."
11"She looked at him."
12"Malik lifted his notebook."
13"She clutched the strap of"
14"Quinn recognised her from the"
15"Eva pushed her round glasses"
16"The constable held the satchel"
17"A book’s split spine protruded"
18"Quinn turned to Malik."
19"Eva’s fingers tightened on the"
ratio0.873
37.31% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences134
matches
0"Whoever moved the table had"
ratio0.007
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences44
technicalSentenceCount2
matches
0"Glass jars held objects that shifted when her light crossed them."
1"Malik caught up at a steel door beneath a sign that read SIGNAL EQUIPMENT."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags4
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags1
fancyCount0
fancyTags(empty)
dialogueSentences137
tagDensity0.007
leniency0.015
rawRatio0
effectiveRatio0
88.1739%