Run: 2026-09-23-01M36VAGRKVKFZHVN7BRCGTS48

Run Details

Duration:
6m 11s
Cost:
$0.123310
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="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 stitched the Camden pavements into one black runnel and broke the neon into coins. Quinn held twenty paces off the wool coat and let the crowd work. Tomás Herrera kept his head down and his collar up, feet finding the gaps a fraction too clean for a man on an errand. The Saint Christopher medallion ticked his chest on every third stride. Olive skin shone under the lamps. Short dark curls had collapsed flat to his skull. He lifted a hand to shove water off his brow. The sleeve rode back. A pale scar showed along his left forearm, wrist towards elbow, old and left by a blade. She matched him. Heel. Push. Eyes level. The worn leather watch on her left wrist knocked her cuff. Rain found the sharp line of her jaw and spilled off it. Salt-and-pepper hair lay tight to her head, cropped too close for the weather to take hold. A night bus shouldered the gutter and threw a wave across the kerb. Herrera cleared it. Quinn took the water through the shins. Cold climbed her trousers. She kept the gap. He checked a shop window. The glass held her there: brown eyes, black coat, weight forward on the balls of her feet. His mouth went thin. He ran. Quinn ran. "Herrera." Drinkers spilled from a doorway, coats and plastic cups in a knot. He cut through them, palm up. "Sorry. Move." A pint slopped her sleeve. Fingers caught her cuff. She turned her wrist and the fingers closed on rain. "Police. Shift." "Bit keen for a Tuesday." The line fell behind her. Herrera had the lock road, brick and shutter, canal-iron in the wet air. Elbows in. Chin tucked. The medallion swung and struck a button. "Tomás Herrera, stop." "You've got nothing to charge." "Walk, then. Running writes its own report." "Leave it. I'm not your arrest." He vaulted a chained bollard. She cleared it on the next stride, palm on wet iron, coat snapping at her knees. A taxi horn split the rain. Herrera flung himself between two vans and came out on the far pavement in a skid that dropped him to one hand. He was up before the splash settled. He looked back once. Warm brown eyes, wide. Then he cut left into a service alley behind a row of dead units. Bins. A split pallet. Water poured off a fire escape in a solid sheet. He went through it. Quinn followed. The sheet struck her crown, her collar, her spine, one cold line. At the alley's end a green maintenance door stood open on a stairwell. A council padlock hung from the hasp, shackle cut, the metal bright where paint had not dulled over the wound. He took the stairs. She took them after. The hinge complained. Rain thinned to a tick on the upper flight. Tile under her boots. Air gone old. Dust, wet brick, a draught that had never met the street. Amber light leaked from below, no kin to a works lamp, and laid a greasy sheen on the handrail. "Herrera." His answer climbed the well, thin at the edges. "Turn round, Detective. Not your ground." "You put it under my feet." "Cameras up top. I'm not talking for a lens." "Give me one here." "Not on these stairs." Shoulder to the wall, she took the next flight. A roundel clung to the landing tile, bar and circle scoured to a ghost. The draught carried a smell with no box in her memory. Hot metal. Dried orange peel. Under both, a sweet chemical edge that caught the back of her throat. The radio on her ribs would not punch through this much concrete. She left the button alone. Footsteps below. A second set, heavier. Something hard scraped stone. She checked the last corner before she gave it her body. The stair opened on a platform the city had written off. The platform refused the verdict. Stalls ran the length of the tiles. Canvas, crate, cable. Lamps hooked to dead runs overhead. People moved between them with the steady trade of a place past fearing its own entrance. Glass threw the light back in small hard points. A woman set bones on black cloth and did not lift her head. A man turned a page in a ledger bound in a hide that was not cow. A stringed instrument picked at a tune, lost the thread, picked at it again. The Veil Market. Interviews had dropped the name into the margins of her notebook and left it there. Abandoned station under Camden. Present until the moon shifted the whole concern to another hole in the city. The moon she had dismissed. The station she could not. Herrera stood halfway down the platform, coat dark, curls dripping onto his collar. A broad man blocked the near end, coat to his ankles, one hand on a wooden box sunk into the old ticket window. The other hand turned a pale disc. Bone. Yellowed. A hole drilled through the centre. "Token." Herrera dragged a cord from beneath the medallion. A second disc came up in his fist. He slapped it into the open palm. The broad man seated it in the box. Wood and metal answered with a click too small for either. A gap opened in the press of bodies. Herrera went through. Quinn stepped off the last stair. Water shook from her hem and spotted the dust. The gatekeeper's eyes found her and held. "Token." She lifted the warrant card into the lamplight. "Detective Harlow Quinn. Metropolitan Police. Hold that man. He's wanted for questioning." "No token, no market." The warrant card got the same glance as the rain on his cuff. "Your paper ends where the tile changes colour." "I'm not here for your stock." "He's through." A jerk of the chin. Between hanging strips of hide, the wool coat flashed and vanished. "You want him, you pay the door." No disc in any pocket she carried. No second officer on the stair. No map for a platform the network denied. Sweet metal sat on her tongue. Along the stalls, trade did not so much as hitch. A seller named a price. A bottle changed hands. Nobody asked to see a warrant. Herrera's voice reached back, aimed at the stair and nowhere else. "Go up, Quinn. You cross that line, you stop being police. You become a woman in a room she can't put in a statement." "Come out. Put it in one with me." "I can't." "You won't." "Same result on your side." The gatekeeper turned an empty palm up between them. "In or up. Doorway's not a lay-by." She looked up the stair. Rain ticked the upper flight. Cameras on the lock road. A radio with a voice on the other end. A van, if she asked, and bodies to fill it. Climb. Call. Return with numbers and a notebook that would read clean in the morning. She looked down the platform. The gap had closed over the place he had used. At the nearest crate a woman turned a brown bottle until the lamp found the sediment, then set it down for a buyer who kept his mouth shut. Herrera knew the stalls. She knew the stairs. The file put this market on the move with the moon and gave her no second address. The coat would not be on this tile when a team arrived. Her thumb found the worn leather of the watch strap. She checked the face. The minute hand ate the window she needed to raise a team and keep him in sight. Quinn folded the warrant card into her coat. "I'm coming in." "No token." "Then clear the stair." He filled the gap and stayed there. Quinn set her palm on the ticket window, turned her shoulder, and took the space. Her boot met the platform.
created_at"2026-09-23T10:00:03.61Z" 9/23/2026, 10:00:03 AM
model"x-ai/grok-4.7-20260916"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency639
moderation_latency(null)
generation_time370820
tokens_prompt1104
tokens_completion7721
native_tokens_prompt2222
native_tokens_completion25237
native_tokens_completion_images(null)
native_tokens_reasoning23556
native_tokens_cached1152
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"
usage0.1233104
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.20.0; linux; x64))"
http_referer(null)
request_id"req-1790157603-zPLBUG1oATnlNm0AwdcO"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790157603-OK3WSsehExdmpl6btZkN"
upstream_id"99cc1315-a290-98a2-83f5-93bc684edafc"
provider_responses
0
endpoint_id"c942f37a-87e1-4fa8-83d0-8c67fda4fb4a"
id"99cc1315-a290-98a2-83f5-93bc684edafc"
is_byokfalse
latency185
model_permaslug"x-ai/grok-4.7-20260916"
provider_name"xAI"
status200
total_cost0.1233104
cache_discount0.0013824
upstream_inference_cost0
provider_name"xAI"
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)
wordCount1316
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)
92.40% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1316
totalAiIsms2
found
0
word"weight"
count1
1
word"footsteps"
count1
highlights
0"weight"
1"footsteps"
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
narrationSentences141
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences141
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences172
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
totalWords1316
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions0
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions26
wordCount1157
uniqueNames8
maxNameDensity0.78
worstName"Herrera"
maxWindowNameDensity1.5
worstWindowName"Herrera"
discoveredNames
Camden2
Herrera9
Saint1
Christopher1
Veil1
Market1
Rain4
Quinn7
persons
0"Herrera"
1"Saint"
2"Christopher"
3"Rain"
4"Quinn"
places(empty)
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences84
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1316
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences172
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs64
mean20.56
std25.16
cv1.223
sampleLengths
0109
146
231
328
42
51
618
72
819
92
105
1129
123
135
147
156
1678
1765
1820
1937
201
219
226
236
249
254
264
2769
2810
2911
30100
3146
3251
331
3453
3515
367
371
388
3912
404
4113
428
436
442
4516
467
4752
4811
4924
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences141
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs187
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences172
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1160
adjectiveStacks0
stackExamples(empty)
adverbCount12
adverbRatio0.010344827586206896
lyAdverbCount0
lyAdverbRatio0
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences172
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences172
mean7.65
std5.27
cv0.689
sampleLengths
015
113
224
311
46
59
610
74
817
93
101
111
122
1311
1412
1516
1613
173
187
194
204
215
2217
234
242
252
261
2712
286
292
305
314
3210
332
345
355
3613
372
382
397
403
415
427
436
445
4516
466
4722
487
494
64.92% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats10
diversityRatio0.42441860465116277
totalSentences172
uniqueOpeners73
26.46% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences126
matches
0"Then he cut left into"
ratio0.008
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount26
totalSentences126
matches
0"He lifted a hand to"
1"She matched him."
2"She kept the gap."
3"He checked a shop window."
4"His mouth went thin."
5"He cut through them, palm"
6"She turned her wrist and"
7"He vaulted a chained bollard."
8"She cleared it on the"
9"He was up before the"
10"He looked back once."
11"He went through it."
12"He took the stairs."
13"She took them after."
14"His answer climbed the well,"
15"She left the button alone."
16"She checked the last corner"
17"He slapped it into the"
18"She lifted the warrant card"
19"She looked up the stair."
ratio0.206
31.43% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount108
totalSentences126
matches
0"Rain stitched the Camden pavements"
1"Quinn held twenty paces off"
2"Tomás Herrera kept his head"
3"The Saint Christopher medallion ticked"
4"Olive skin shone under the"
5"He lifted a hand to"
6"The sleeve rode back."
7"A pale scar showed along"
8"She matched him."
9"The worn leather watch on"
10"Rain found the sharp line"
11"Salt-and-pepper hair lay tight to"
12"A night bus shouldered the"
13"Herrera cleared it."
14"Quinn took the water through"
15"She kept the gap."
16"He checked a shop window."
17"The glass held her there:"
18"His mouth went thin."
19"Drinkers spilled from a doorway,"
ratio0.857
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
analyzedSentences51
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
90.5069%