Run: 2026-05-10-01KR9347TVQXPS6VARGTRG1Y8G

Run Details

Model:
Grok 4.3
Duration:
35.0s
Cost:
$0.006383
Provider:
xAI

Model input

System
You are an expert novelist with a gift for vivid, immersive prose. You write in tight third-person limited point of view with a strong narrative voice. Your prose is clean, precise, and engaging — you favor strong verbs, concrete details, and natural-sounding dialogue. You will be given a story bible (codex) containing canonical details about characters, locations, items, and lore. Use these details to ground your writing in the established world. Stay consistent with the codex. Write only the prose of the scene. Do not include titles, chapter headings, markdown formatting, or any commentary before or after the scene.
User/Human
<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> 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.

Model response

AI
The stairs into the abandoned Camden station smelled of wet concrete and decades-old piss, the kind of rank sweetness that clung to the throat long after you left. Detective Harlow Quinn set her boots on each riser with measured precision, the leather watch on her left wrist catching the beam of her penlight. She had taken the call at half-past two that morning—another body, another Underground location nobody wanted to admit existed—and by the time she reached the platform the uniformed officers had already strung tape across the disused ticket hall. She stepped over the tape and surveyed the scene. The victim lay on his back near the rusting tracks, arms splayed, eyes still open in a look of mild surprise. Mid-thirties, by the clothing: black coat, good leather but scuffed, jeans with a rip that looked more deliberate than accidental. A single slash across the throat, clean enough that arterial spray had tagged the nearest pillar. No defensive wounds. No signs of struggle. Quinn lifted her light higher. The walls were covered in faded posters for bands that stopped existing ten years ago, yet one rectangle stood out: a blank square about a meter square where the paper had been peeled away entirely. The edges were crisp. Someone had taken the time to remove it with care. She crouched, examining the blood trail. It started behind the body and continued several feet toward an alcove that once housed a ticket machine. No drag marks. The killer had stood over the man and let him fall forward. Quinn touched the edge of the victim’s coat with a gloved finger. The fabric was damp, not from blood but from condensation on the stone. She pulled the lapel aside. In the inner pocket she found a single brass token, dull and small enough to fit in a palm, notched along one side like a key. She turned it over. A faint sigil had been scratched into the metal—interlocking lines that refused to resolve into letters. “Quinn.” The voice belonged to DS Patel, the tall, careful man the Met had assigned to her current team. He approached from the service corridor, boot soles crunching grit. “Same MO as the South Kensington case. Throat cut, no robbery, no ID. Victim probably had money—coat looks expensive. Whoever did this took the wallet though, or he never carried one.” Quinn stood, pocketing the token without comment. “Walk me through what uniform found.” Patel gestured toward the body. “Call came in from a night-shift worker on the Northern Line who heard shouting at one-thirty. He came down the maintenance stairs and saw the victim still breathing but fading fast. Uniforms arrived, secured scene, nobody else in or out. No cameras in this section for obvious reasons; it’s been shut for thirty years.” “Thirty-two,” Quinn corrected. “Since the 1992 closure order. South Kensington station was closed in 1926 and never reopened to the public. Different closures, different patterns. Same method. Tell me why that doesn’t trouble you.” Patel rubbed his jaw. He had the habit when he was thinking. “Because the killer’s moving. Different boroughs, different closed stations. Maybe target selection is opportunistic. Closed stations draw the same crowd—vagrants, graffiti kids, people who want privacy. Body left in place, no attempt to hide it. The killer wants the scene discovered. Publicity, maybe. Or ritual.” Quinn swept her light across the platform again. The alcove Patel had ignored held a narrow grate that should have been welded shut decades ago. The weld showed recent tool marks—bright scratches on the rusted metal. She knelt, shining the beam through the bars. Beneath the platform lay the old Northern Line tracks, long abandoned, but there was a faint metallic glint about two meters down: a second token, identical to the one in her pocket. She reached through the grate with two gloved fingers and fished it out. The grating allowed only partial access. Patel frowned. “How’d you even see that?” “The grate isn’t flush. Someone loosened it recently.” Quinn rose. “What else do you see here that actually matches South Kensington?” “Throat wound.” “Anything else?” He looked around again. The posters. The lack of struggle. The single clean cut. “The victim has no phone, no keys, no transit card. Someone stripped him of anything that would identify him.” “Or he arrived prepared not to be identified.” Quinn held up the second token. “Same sigil. These aren’t transport tokens. I’ve seen similar pieces in evidence bags from high-value thefts in the occult market networks. They grant access to places regular people never reach.” Patel’s expression shifted into patience. “Occult marketplace? That’s a stretch. Even if someone killed him for a token, why leave the body here where we’d find it? And why would the killer go out of the way to stage the scene in a dead station? This could all be simple gang retaliation. The coat’s black. Could be mistaken for one of those new Russian crews who like the monochrome look.” Quinn walked the length of the platform, boots echoing. The beam found faint footprints in the soot and grime—two distinct sets. One set belonged to the victim; the soles matched the victim’s shoes. The second was narrower, with a ridged pattern that suggested boots manufactured for wet terrain rather than city walking. She followed the second set to the wall where the poster had been removed. The paper glue residue was still tacky in places. She pressed a fingertip there and smelled varnish and something acrid—burnt herbs, maybe. “Tell me why the victim had no defensive wounds, Patel.” “He knew his killer.” “Or he was taken by surprise in the dark. The penlight’s beam isn’t strong enough for fighting in here.” She gestured to the open tracks. The rails were glinting with moisture, yet above them the ceiling showed no water ingress directly overhead. The damp was localized. Someone had deliberately poured or brushed water in a line leading away from the body toward the far service door. She crossed to the service corridor entrance. A smear of something dark—not blood—marked the threshold. She crouched, touched it, and brought her finger up to the beam. The residue was black powder, fine as ash but heavier. It carried a metallic scent underneath the dust. “Charcoal mixed with iron filings,” she said, more to herself than Patel. “Used in binding rituals according to some of the folklore in the evidence archives. Draw a line, speak the words, the subject can’t cross back. The line points toward the way out.” Patel exhaled. “You’re reading tea leaves in a crime scene.” “Tea leaves require hot water.” Quinn straightened. “This scene required preparation. The victim brought two tokens. That implies he expected to trade or buy something. The removed poster was a marker—probably advertising the next time or location. Whoever killed him took the marker down after the fact to slow us. They missed the token they dropped when the body fell.” She returned to the corpse. The victim’s right hand still cupped, palm up, as though reaching for the token that had rolled away. Quinn studied the curve of the fingers. No rigor yet; the man had died less than three hours ago. She checked his coat lapels again. Inside the collar, sewn into the fabric with fine black thread, was a small embroidered symbol: three concentric circles bisected by a vertical line. The same motif appeared on the token. Patel stepped closer. “What are you seeing that I’m not?” Quinn lifted her light toward the service door. The damp line led directly to it. Beyond that door, she knew from old maps, lay a sealed maintenance shaft that connected to several other disused platforms. The shaft was not on any public record because the original plans had been altered after the war. She had read the file three years earlier, when Morris had been trying to trace a series of disappearances connected to Camden. The shaft existed on paper only as a ghost. “If this was gang business,” she said, “they wouldn’t leave tokens that point to a specific supplier. They wouldn’t risk exposing a location that moves every lunar cycle. They would have stripped the body completely, not left a single item of value in his pocket. The grate was loosened so the second token could be dropped deliberately, not accidentally. It’s a message.” Patel’s mouth tightened. “If you want to chase underground markets, that’s your call. But the DCI wants a cause of death and a motive we can take to CPS. Not folklore.” Quinn didn’t answer immediately. She studied the victim’s face again. The eyes were hazel. There was a faint scar along the hairline, old, the result of childhood stitches rather than recent violence. The scar told her he had been someone’s son once, not a career criminal. Whoever killed him had chosen a place that erased identity. Closed stations gave the killer that power. They also hid evidence from the surface world. She slid the tokens into separate evidence bags, labeling them without flourish. Then she walked back to the removed-poster wall. Under the low light she could just make out a faint impression remaining on the stone—pressure marks where someone had pressed something heavy against the surface for several seconds. Not graffiti. Not a fight. The killer had taped a replacement notice over the blank space, then peeled it away when he realized the poster itself had been the message. The final piece arrived when Quinn turned off her penlight for ten seconds. In the absolute darkness, a single low hum vibrated through the rails: the residual frequency of a recently opened portal. She had felt the same tremor at the South Kensington site, and again at the disused Aldgate platform. The frequency faded after fifteen heartbeats. When she switched the light back on, Patel was watching her. “You heard that?” she asked. He shook his head. “Heard what?” Quinn replaced the penlight in her coat. “Nothing.” She looked once more at the victim’s reaching hand. “We bag him. I want every closed station in the borough checked for similar residue before the next full moon.” She met Patel’s eyes. “And I want the name of whoever sold this man his ticket into the dark.”
created_at"2026-05-10T14:02:15.269Z" 5/10/2026, 2:02:15 PM
model"x-ai/grok-4.3-20260430"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency490
moderation_latency(null)
generation_time34895
tokens_prompt923
tokens_completion2680
native_tokens_prompt932
native_tokens_completion2114
native_tokens_completion_images(null)
native_tokens_reasoning0
native_tokens_cached64
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"
usage0.0063828
router(null)
provider_responses
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endpoint_id"45623cb8-18e5-4b32-8fc4-85d05439982d"
id"386589aa-b040-9264-a9f0-336f4f507355"
is_byokfalse
latency133
model_permaslug"x-ai/grok-4.3-20260430"
provider_name"xAI"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1778421735-HG4w44B7NDhWMeD6wf9W"
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api_type"completions"
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upstream_id"386589aa-b040-9264-a9f0-336f4f507355"
total_cost0.0063828
cache_discount0.0000672
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provider_name"xAI"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags9
adverbTagCount1
adverbTags
0"She looked once [once]"
dialogueSentences32
tagDensity0.281
leniency0.563
rawRatio0.111
effectiveRatio0.063
91.28% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1720
totalAiIsmAdverbs3
found
0
adverb"deliberately"
count2
1
adverb"completely"
count1
highlights
0"deliberately"
1"completely"
80.00% AI-ism character names
Target: 0 AI-default names (17 tracked, −20% each)
codexExemptions(empty)
found
0"Patel"
100.00% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
82.56% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1720
totalAiIsms6
found
0
word"measured"
count1
1
word"resolve"
count1
2
word"glint"
count1
3
word"echoing"
count1
4
word"glinting"
count1
5
word"vibrated"
count1
highlights
0"measured"
1"resolve"
2"glint"
3"echoing"
4"glinting"
5"vibrated"
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
narrationSentences104
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount0
narrationSentences104
filterMatches
0"watch"
1"notice"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences126
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen65
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1708
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions10
unquotedAttributions0
matches(empty)
66.67% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions38
wordCount1117
uniqueNames12
maxNameDensity1.34
worstName"Quinn"
maxWindowNameDensity3
worstWindowName"Quinn"
discoveredNames
Camden2
Harlow1
Quinn15
Underground1
Patel12
Met1
Northern1
Line1
Morris1
South1
Kensington1
Aldgate1
persons
0"Harlow"
1"Quinn"
2"Patel"
3"Met"
4"Line"
5"Morris"
places
0"Camden"
1"South"
2"Kensington"
globalScore0.829
windowScore0.667
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences73
glossingSentenceCount1
matches
0"as though reaching for the token that had rolled away"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.585
wordCount1708
matches
0"not from blood but from condensation on the stone"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences126
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs36
mean47.44
std34.47
cv0.726
sampleLengths
091
1127
2115
31
459
513
659
734
857
995
107
1121
122
132
1433
1544
1670
1788
1810
194
2066
2145
2244
2310
2460
2579
2610
2784
2862
2931
3071
3179
3268
335
346
3556
85.02% Passive voice overuse
Target: ≤2% passive sentences
passiveCount6
totalSentences104
matches
0"were covered"
1"been peeled"
2"been scratched"
3"been welded"
4"been removed"
5"was localized"
6"been altered"
87.64% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount3
totalVerbs178
matches
0"was thinking"
1"were glinting"
2"was watching"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount9
semicolonCount3
flaggedSentences10
totalSentences126
ratio0.079
matches
0"She had taken the call at half-past two that morning—another body, another Underground location nobody wanted to admit existed—and by the time she reached the platform the uniformed officers had already strung tape across the disused ticket hall."
1"A faint sigil had been scratched into the metal—interlocking lines that refused to resolve into letters."
2"“Call came in from a night-shift worker on the Northern Line who heard shouting at one-thirty. He came down the maintenance stairs and saw the victim still breathing but fading fast. Uniforms arrived, secured scene, nobody else in or out. No cameras in this section for obvious reasons; it’s been shut for thirty years.”"
3"The weld showed recent tool marks—bright scratches on the rusted metal."
4"The beam found faint footprints in the soot and grime—two distinct sets."
5"One set belonged to the victim; the soles matched the victim’s shoes."
6"She pressed a fingertip there and smelled varnish and something acrid—burnt herbs, maybe."
7"A smear of something dark—not blood—marked the threshold."
8"No rigor yet; the man had died less than three hours ago."
9"Under the low light she could just make out a faint impression remaining on the stone—pressure marks where someone had pressed something heavy against the surface for several seconds."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1130
adjectiveStacks0
stackExamples(empty)
adverbCount43
adverbRatio0.03805309734513274
lyAdverbCount8
lyAdverbRatio0.007079646017699115
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences126
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences126
mean13.56
std12.05
cv0.889
sampleLengths
028
125
238
39
421
520
616
73
84
95
1035
114
1210
136
1418
153
1612
1712
1813
195
2026
214
2216
231
2418
2510
2631
277
286
295
3054
313
3231
334
348
3545
368
3717
3811
398
4032
4113
426
432
445
4510
4611
472
482
494
54.23% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats10
diversityRatio0.373015873015873
totalSentences126
uniqueOpeners47
35.09% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences95
matches
0"Then she walked back to"
ratio0.011
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount28
totalSentences95
matches
0"She had taken the call"
1"She stepped over the tape"
2"She crouched, examining the blood"
3"It started behind the body"
4"She pulled the lapel aside."
5"She turned it over."
6"He approached from the service"
7"He had the habit when"
8"She knelt, shining the beam"
9"She reached through the grate"
10"He looked around again."
11"She followed the second set"
12"She pressed a fingertip there"
13"She gestured to the open"
14"She crossed to the service"
15"She crouched, touched it, and"
16"It carried a metallic scent"
17"she said, more to herself"
18"She returned to the corpse."
19"She checked his coat lapels"
ratio0.295
54.74% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount77
totalSentences95
matches
0"The stairs into the abandoned"
1"Detective Harlow Quinn set her"
2"She had taken the call"
3"She stepped over the tape"
4"The victim lay on his"
5"A single slash across the"
6"Quinn lifted her light higher."
7"The walls were covered in"
8"The edges were crisp."
9"Someone had taken the time"
10"She crouched, examining the blood"
11"It started behind the body"
12"The killer had stood over"
13"Quinn touched the edge of"
14"The fabric was damp, not"
15"She pulled the lapel aside."
16"She turned it over."
17"A faint sigil had been"
18"The voice belonged to DS"
19"He approached from the service"
ratio0.811
52.63% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences95
matches
0"Whoever killed him had chosen"
ratio0.011
80.75% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences46
technicalSentenceCount4
matches
0"The stairs into the abandoned Camden station smelled of wet concrete and decades-old piss, the kind of rank sweetness that clung to the throat long after you le…"
1"Mid-thirties, by the clothing: black coat, good leather but scuffed, jeans with a rip that looked more deliberate than accidental."
2"The walls were covered in faded posters for bands that stopped existing ten years ago, yet one rectangle stood out: a blank square about a meter square where th…"
3"Beyond that door, she knew from old maps, lay a sealed maintenance shaft that connected to several other disused platforms."
69.44% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags9
uselessAdditionCount1
matches
0"she said, more to herself than Patel"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags4
fancyCount1
fancyTags
0"Quinn corrected (correct)"
dialogueSentences32
tagDensity0.125
leniency0.25
rawRatio0.25
effectiveRatio0.063
84.6681%