Run: 2026-07-08-01KX1M5AYMXQN0CGXPD0VHZH36

Run Details

Duration:
1m 7s
Cost:
$0.019832
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 lashed the Soho streets and turned the pavement into a sheet of black glass. Green neon from the sign above The Raven's Nest smeared across the puddles like spilled oil. Detective Harlow Quinn stood under the incomplete shelter of a dripping awning, shoulders squared with military precision, worn leather watch catching what little light filtered through the downpour. Salt-and-pepper hair plastered flat against her skull. Brown eyes locked on the bar’s scarred door. The door swung open. Tomás Herrera stepped into the rain, olive skin glistening, short curly dark hair already darkening further under the deluge. The Saint Christopher medallion at his neck flashed once. The scar along his left forearm stood out pale as he yanked his collar up. Quinn pushed off the wall. “Herrera. Metropolitan Police. Stay where you are.” He spun. Warm brown eyes found hers for half a breath. Then he ran. Boots struck stone. Quinn drove after him, rain needling her face, lungs pulling cold wet air. He cut left into a narrow service lane behind the Nest. She followed. Brick walls funnelled the rain into a constant roar. Broken glass cracked under her soles. Herrera vaulted a low chain fence without breaking stride. Quinn cleared it a second later, the impact jarring up through her knees. Out onto Frith Street. Headlights of a late cab glared white. Herrera dashed across, palm slamming the bonnet as the driver blared the horn. Quinn crossed three paces behind, water spraying from the tyres inches from her legs. “Dispatch, this is Quinn. Foot pursuit of Tomás Herrera. Heading north through Soho. Multiple traffic hazards. Need backup on my grid.” Static crackled in her earpiece. “Unit receiving. Units en route. Maintain visual.” Herrera weaved between late-night clubbers who cursed and staggered aside. Quinn closed the gap on Shaftesbury Avenue. Her hand brushed his coat. He twisted, elbow raking air, then shot down an alley thick with the reek of rotting veg and urine. Metal bins rattled as he shouldered past them. One toppled. Quinn vaulted the rolling mess. A bottle smashed against the wall beside her head. Glass cascaded. They burst onto Oxford Street. Rain hammered the wide road. Buses lumbered past like steel beasts. Herrera sprinted against the flow of sparse headlights, weaving between double-deckers. Quinn matched him stride for stride, the leather of her watch strap biting into her wrist with every pump of her arms. Her sharp jaw clenched until teeth ached. He ducked into the mouth of a Tube station. Escalators carried empty metal steps downward in endless loops. Herrera skipped three at a time. Quinn’s boots hammered the ridges. “Suspect entering Oxford Circus. Still mobile. Descending.” The platform smelled of wet wool and metal. People stared from benches as the pair flew past. Herrera leapt the yellow line, crossed the empty tracks, and hauled himself onto the opposite platform. Sparks of rainwater flew from his shoes. Quinn dropped after him, boots skidding on wet rails, scambled up the far side. He was already racing the connecting corridor toward the Bakerloo. They climbed again. Night air slapped them as they spilled into the open at Regent’s Park. Rain sheeted harder now, driven sideways by wind. Herrera turned north. Trees along the park edge thrashed. Quinn’s ears roared with her own pulse and the hiss of tyres on wet tarmac. A cyclist went over with a shout as Herrera clipped the handlebars. Quinn hurdled the spinning wheels without slowdown. Camden High Street opened like a throat lined with shuttered stalls and shuttered pubs. Neon from tattoo parlours painted the rain pink and purple. Herrera risked a look back. Quinn saw the scar on his arm again as he shoved a vendor’s trolley aside. Apples rolled into the gutter and spun away on the current. She closed. Fingertips grazed the cloth of his jacket once more. He tore free and disappeared into a gap between iron railings. The gap led down. Concrete steps, cracked and half-swallowed by moss, sunk below street level. A faded London Underground slanted at an angle. No lights. No passengers. Just the metallic stink of old tunnels. Quinn halted at the top of the stairs long enough to thrust a hand against the rail. Water poured off her fingers. Her chest rose and fell once, hard. “Dispatch. Suspect has entered abandoned access north of Camden Market. Looks like a sealed Tube branch. Mark my location. I am proceeding alone until units arrive.” Silence from the earpiece. Then a clipped acknowledgment. She took the steps two at a time. Darkness swallowed the rain sound and replaced it with the drip of water from overhead pipes. The air cooled. Spray paint slogans covered the tiles in languages she did not recognise. Ahead, Herrera’s footsteps echoed and then thinned. A side tunnel split left. Unmarked. In places the light strips still glowed a sickly green. Quinn drew her warrant card and torch. The beam picked up wet footprints peeling away into shadow. She followed. The corridor bent and dropped. Tide marks of old floodwater climbed the walls. Somewhere deeper a low hum began, mechanical and alive. The tunnel mouth opened onto a platform no schedule had listed for decades. Where the tracks should have been, wooden planks bridged the gap. Lanterns of floating blue flame hung from the ceiling. Crickets of light bounced off surfaces that looked like ordinary market stalls until the torchlight caught witch-bottles strung from poles, feathers that refused to settle, glass jars whose contents swirled without motion. Figures in hoods and long coats bartered over crates. The air carried the bite of ozone and something herbal that stung the back of Quinn’s throat. Herrera stood fifteen yards ahead at a rusted ticket barrier manned by a man whose face was more bone than flesh. He produced a small object the colour of old ivory. A bone token. It vanished into the gatekeeper’s palm. The barrier clanked aside. Herrera slipped through. The gate swung shut again. Quinn reached the barrier as the last thread of his coat disappeared into the denser dark beyond. The gatekeeper’s eye sockets fixed on her. One hand remained open, palm upward, waiting. Rainwater still ran from her sleeves and formed a pool around her boots. The leather of her watch was soaked through. Sharp jaw tight, she looked past the barrier into the painted shadows where foliage of impossible colour grew between the tiles and the market pulsed with quiet deals. Voices drifted, low and urgent. Somewhere metal scraped metal. Somewhere liquid poured into glass. Her free hand hovered near the radio on her belt. Backup was still minutes out. The torch beam trembled once across the bone-white palm waiting for payment she did not possess. Behind her the access tunnel stretched empty and familiar. Ahead lay territory no warrant covered, no map recorded. Quinn’s brown eyes narrowed on the point where Herrera had vanished. Rain continued to drip from the arched brick above her head, measured and relentless.
created_at"2026-07-08T19:44:30.682Z" 7/8/2026, 7:44:30 PM
model"x-ai/grok-4.5-20260708"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency460
moderation_latency(null)
generation_time66582
tokens_prompt1140
tokens_completion2327
native_tokens_prompt1186
native_tokens_completion3198
native_tokens_completion_images(null)
native_tokens_reasoning1722
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"
usage0.019832
router(null)
provider_responses
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is_byokfalse
latency109
model_permaslug"x-ai/grok-4.5-20260708"
provider_name"xAI"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer(null)
request_id"req-1783539870-hpofVQckqJs8U7ud4SEM"
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api_type"completions"
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upstream_id"1d0ed0e6-c3fe-9a6c-9a74-26aadf3d8f92"
total_cost0.019832
cache_discount0.001728
upstream_inference_cost0
provider_name"xAI"
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data_region"global"

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)
wordCount1162
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)
48.36% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1162
totalAiIsms12
found
0
word"glistening"
count1
1
word"jaw clenched"
count1
2
word"racing"
count1
3
word"pulse"
count1
4
word"silence"
count1
5
word"footsteps"
count1
6
word"echoed"
count1
7
word"mechanical"
count1
8
word"pulsed"
count1
9
word"trembled"
count1
10
word"familiar"
count1
11
word"measured"
count1
highlights
0"glistening"
1"jaw clenched"
2"racing"
3"pulse"
4"silence"
5"footsteps"
6"echoed"
7"mechanical"
8"pulsed"
9"trembled"
10"familiar"
11"measured"
66.67% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches2
maxInWindow2
found
0
label"eyes widened/narrowed"
count1
1
label"jaw/fists clenched"
count1
highlights
0"eyes narrowed"
1"jaw clenched"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences121
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount3
hedgeCount0
narrationSentences121
filterMatches
0"watch"
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
maxSentenceWordsSeen33
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1162
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions1
unquotedAttributions0
matches(empty)
66.67% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions57
wordCount1094
uniqueNames21
maxNameDensity1.65
worstName"Quinn"
maxWindowNameDensity3
worstWindowName"Quinn"
discoveredNames
Soho1
Raven1
Nest2
Harlow1
Quinn18
Herrera14
Saint1
Christopher1
Frith1
Street3
Shaftesbury1
Avenue1
Oxford1
Tube1
Bakerloo1
Regent1
Park1
High1
London1
Underground1
Rain4
persons
0"Raven"
1"Nest"
2"Harlow"
3"Quinn"
4"Herrera"
5"Saint"
6"Christopher"
7"Underground"
8"Rain"
places
0"Soho"
1"Frith"
2"Street"
3"Shaftesbury"
4"Avenue"
5"Oxford"
6"Bakerloo"
7"Regent"
8"High"
9"London"
globalScore0.677
windowScore0.667
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences83
glossingSentenceCount1
matches
0"looked like ordinary market stalls until"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1162
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences126
matches(empty)
87.61% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs24
mean48.42
std22.11
cv0.457
sampleLengths
074
147
212
314
466
559
612
767
856
936
1064
1167
1277
1334
1455
158
1646
1757
1891
1952
2031
2163
2249
2325
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences121
matches
0"been, wooden"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs194
matches
0"was already racing"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences126
ratio0
matches(empty)
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1101
adjectiveStacks1
stackExamples
0"short curly dark hair"
adverbCount33
adverbRatio0.02997275204359673
lyAdverbCount2
lyAdverbRatio0.0018165304268846503
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
mean9.22
std5.78
cv0.627
sampleLengths
015
116
228
37
48
54
619
79
815
95
107
112
129
133
143
1513
1611
172
189
196
209
2113
224
237
2413
2514
2621
275
287
2910
307
315
3219
338
342
355
369
372
385
395
406
4111
4222
437
449
459
466
475
487
498
76.98% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats3
diversityRatio0.47619047619047616
totalSentences126
uniqueOpeners60
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount6
totalSentences112
matches
0"Then he ran."
1"Just the metallic stink of"
2"Then a clipped acknowledgment."
3"Somewhere deeper a low hum"
4"Somewhere metal scraped metal."
5"Somewhere liquid poured into glass."
ratio0.054
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount14
totalSentences112
matches
0"He cut left into a"
1"Her hand brushed his coat."
2"He twisted, elbow raking air,"
3"They burst onto Oxford Street."
4"Her sharp jaw clenched until"
5"He ducked into the mouth"
6"He was already racing the"
7"They climbed again."
8"He tore free and disappeared"
9"Her chest rose and fell"
10"She took the steps two"
11"He produced a small object"
12"It vanished into the gatekeeper’s"
13"Her free hand hovered near"
ratio0.125
53.75% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount91
totalSentences112
matches
0"Rain lashed the Soho streets"
1"Detective Harlow Quinn stood under"
2"Salt-and-pepper hair plastered flat against"
3"Brown eyes locked on the"
4"The door swung open."
5"Tomás Herrera stepped into the"
6"The Saint Christopher medallion at"
7"The scar along his left"
8"Quinn pushed off the wall."
9"Boots struck stone."
10"Quinn drove after him, rain"
11"He cut left into a"
12"Brick walls funnelled the rain"
13"Herrera vaulted a low chain"
14"Quinn cleared it a second"
15"Headlights of a late cab"
16"Herrera dashed across, palm slamming"
17"Quinn crossed three paces behind,"
18"Static crackled in her earpiece."
19"Herrera weaved between late-night clubbers"
ratio0.813
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences112
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences44
technicalSentenceCount2
matches
0"Herrera weaved between late-night clubbers who cursed and staggered aside."
1"Crickets of light bounced off surfaces that looked like ordinary market stalls until the torchlight caught witch-bottles strung from poles, feathers that refuse…"
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
89.8015%