Run: 2026-03-12-01KKHYZ8YSS043V0S75KV8MJ53

Run Details

Duration:
1m 8s
Cost:
$0.072030
Provider:
xAI

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
Detective Harlow Quinn arrived at the abandoned Tube station beneath Camden as the sun set behind the city skyline. She parked her car alongside the other vehicles and made her way to the entrance. The barricades blocked the stairs leading down. She flashed her badge at the uniform officer and ducked under the tape. The tunnel swallowed her. Her boots hit each step with purpose. The air tasted of rust and forgotten years. Her brown eyes adjusted to the dimness as she switched on her flashlight. The beam revealed the decay. Posters from decades past peeled from the walls. Graffiti overlaid some of them but other markings stood out. Sigils carved with precision. She reached the platform. The body lay in the center of the activity. DS Reeves stood nearby, notebook open in his hand. Quinn. The scene looks like a mugging. The victim has a head wound. Possessions removed. The unusual location threw us at first but the evidence fits. Quinn approached the body and crouched beside it. The wound appeared precise. The blood had settled in a way that indicated no movement after the injury. The arms spread wide. The legs straight. This position looks intentional. Like an offering or a warning. The blood volume is wrong too. Too little for a fatal blow. Reeves flipped a page in his notebook. The blow could have been quick. Death almost instant. These things happen in isolated spots. People come down here for privacy or to escape. He picked the wrong day. Quinn stood and began a slow circle of the area. Crates stacked three high formed barriers. On top of them sat the remains of displays. Some held dried plants that gave off a pungent odor. Others held fragments of pottery with glowing paint. The floor around them showed wear from repeated setups and breakdowns. Activity here spans weeks. The dust has layers of disturbance. Multiple vendors. Multiple customers. This was a market. She stopped at a particular spot. The worn leather satchel caught her eye. She lifted it and looked inside. Books filled the space. Their spines showed titles on ancient civilizations and occult practices. One book had the name Eva Kowalski inscribed inside the cover. This satchel belongs to an occult researcher. The contents match her profile. I have seen her name in my files on the clique. Reeves closed his notebook with a snap. The bag could belong to the victim. Maybe he had interests in that area. Lots of people do nowadays. It doesn't link to your pet theories. Quinn set the satchel down and continued. The small brass compass rested against a crate leg. Its casing had a patina of verdigris that spoke of age and use. The face bore etched sigils in a circular pattern. She picked it up. The needle inside whirred and then settled, pointing away from the main platform toward a blocked passage. This instrument detects something. The needle ignores magnetic fields. It focuses on a specific energy. The creator made it for this environment. Reeves leaned against a pillar. Toys like that sell everywhere in Camden. The sigils are for show. The market above ground has stalls full of similar junk. You connect it to the crime without cause. Quinn followed the direction the needle indicated. The passage entrance had been covered with a metal sheet. She pulled it aside. The tunnel beyond showed more signs of the market. Empty shelves lined the walls. A bone token lay on the floor, its surface carved with matching symbols. She retrieved the token. The smooth surface felt cool. The carving matched the compass face exactly. Entry token for the market. The Veil Market. It moves locations every full moon. This station must have been the spot this month. The murder disrupted the operations. Reeves followed her into the passage. His face showed lines of frustration. Say it is a market. A secret one. The killing still boils down to human greed. Someone wanted what the victim had or knew. The head injury is the cause. The rest is window dressing. Quinn examined the walls in the new area. More sigils. Some glowed under her light. The compass needle spun faster in this space. The evidence builds a different case. The lack of fingerprints on the wound area. The absence of the weapon. The way the items were left behind in haste but the body arranged with care. Someone from the market killed him to send a message or to protect a secret. She pieced the clues together in her mind. The supernatural elements lurked just below the surface. The same elements that had taken her partner three years ago in unexplained circumstances. Reeves rubbed the back of his neck. Your past case clouds your judgment. Morris died in a different situation. This is street level crime in an unusual location. Nothing more. Quinn held the compass steady. The needle pointed at the satchel from across the space. The connection to Eva Kowalski and the clique grew stronger in her thoughts. She began to see the larger web. The market served as a hub for the criminal activity she had long suspected. She slipped the compass into her pocket alongside the bone token. Her military precision kept her movements controlled despite the revelations. This scene holds secrets that change the investigation. The evidence doesn't add up because we missed the context. The market. The tools. The connections. Reeves started to respond but his radio crackled to life with a call from the surface team. The dripping water continued its rhythm. The lights buzzed. The shadows held their secrets but she had begun to pull them into the light. Quinn turned back to the body. Her brown eyes studied the form once more. The deduction solidified. Others saw a simple crime. She saw the entry point into a hidden world that operated parallel to her own.
created_at"2026-03-12T21:24:19.039Z" 3/12/2026, 9:24:19 PM
model"x-ai/grok-4.20-beta-20260309"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency64034
moderation_latency(null)
generation_time67314
tokens_prompt1149
tokens_completion1491
native_tokens_prompt1102
native_tokens_completion11964
native_tokens_completion_images0
native_tokens_reasoning10805
native_tokens_cached1088
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"
usage0.0720296
router(null)
provider_responses
0
endpoint_id"33f49f24-a0de-4dcf-872d-ca514e83fbae"
id"9132a43c-9aa0-03b7-3393-a4f6e3b4db80"
is_byokfalse
latency301
model_permaslug"x-ai/grok-4.20-beta-20260309"
provider_name"xAI"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.0; linux; x64))"
http_referer(null)
api_type"completions"
id"gen-1773350659-cqKo1byy4JHjzqnGeGaj"
upstream_id"9132a43c-9aa0-03b7-3393-a4f6e3b4db80"
total_cost0.0720296
cache_discount0.0019584
upstream_inference_cost0
provider_name"xAI"

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)
wordCount983
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)
84.74% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount983
totalAiIsms3
found
0
word"etched"
count1
1
word"magnetic"
count1
2
word"disrupted"
count1
highlights
0"etched"
1"magnetic"
2"disrupted"
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
narrationSentences135
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount3
narrationSentences135
filterMatches(empty)
hedgeMatches
0"try to"
1"began to"
2"started to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences135
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen19
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords983
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions1
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions26
wordCount983
uniqueNames9
maxNameDensity0.92
worstName"Quinn"
maxWindowNameDensity1.5
worstWindowName"Quinn"
discoveredNames
Harlow1
Quinn9
Tube1
Camden2
Reeves7
Eva2
Kowalski2
Veil1
Market1
persons
0"Harlow"
1"Quinn"
2"Reeves"
3"Eva"
4"Kowalski"
5"Market"
places
0"Camden"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences90
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount983
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences135
matches
0"like that sell"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs34
mean28.91
std16.64
cv0.576
sampleLengths
054
159
222
31
425
533
622
77
829
954
1018
1144
1223
137
1426
1559
1622
175
1830
1948
2016
2128
2212
2335
2423
2549
2630
277
2823
2949
3021
3124
3217
3361
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences135
matches
0"been covered"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs163
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences135
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount983
adjectiveStacks0
stackExamples(empty)
adverbCount19
adverbRatio0.019328585961342827
lyAdverbCount1
lyAdverbRatio0.001017293997965412
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences135
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences135
mean7.28
std3.58
cv0.492
sampleLengths
019
115
27
313
44
57
68
713
85
98
1010
114
124
139
149
151
166
176
182
1911
208
214
2214
234
243
254
266
276
286
297
306
313
326
339
345
3510
366
379
3810
398
4011
414
426
432
442
454
466
477
486
494
40.25% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats19
diversityRatio0.32592592592592595
totalSentences135
uniqueOpeners44
52.91% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences126
matches
0"Too little for a fatal"
1"Maybe he had interests in"
ratio0.016
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount26
totalSentences126
matches
0"She parked her car alongside"
1"She flashed her badge at"
2"Her boots hit each step"
3"Her brown eyes adjusted to"
4"She reached the platform."
5"He picked the wrong day."
6"She stopped at a particular"
7"She lifted it and looked"
8"Their spines showed titles on"
9"I have seen her name"
10"It doesn't link to your"
11"Its casing had a patina"
12"She picked it up."
13"It focuses on a specific"
14"You connect it to the"
15"She pulled it aside."
16"She retrieved the token."
17"It moves locations every full"
18"His face showed lines of"
19"She pieced the clues together"
ratio0.206
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount118
totalSentences126
matches
0"Detective Harlow Quinn arrived at"
1"She parked her car alongside"
2"The barricades blocked the stairs"
3"She flashed her badge at"
4"The tunnel swallowed her."
5"Her boots hit each step"
6"The air tasted of rust"
7"Her brown eyes adjusted to"
8"The beam revealed the decay."
9"Posters from decades past peeled"
10"Graffiti overlaid some of them"
11"Sigils carved with precision."
12"She reached the platform."
13"The body lay in the"
14"DS Reeves stood nearby, notebook"
15"The scene looks like a"
16"The victim has a head"
17"The unusual location threw us"
18"Quinn approached the body and"
19"The wound appeared precise."
ratio0.937
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences126
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences30
technicalSentenceCount1
matches
0"The same elements that had taken her partner three years ago in unexplained circumstances."
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
89.2633%