Run: 2026-02-19-01KHTX5Y6G6TCFZB7Y8FZCYJW8

Run Details

Duration:
55.3s
Cost:
$0.000000
Provider:
Arcee AI

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
The rain hammered down on London's streets, turning the pavement into a slick, reflective surface. Detective Harlow Quinn's boots splashed through puddles as she sprinted after her quarry, the cold water seeping through her socks. Her breath came in ragged gasps, each one visible in the chill night air. "Stop! Metropolitan Police!" she shouted, her voice barely carrying over the downpour and the pounding of her own heart. The figure ahead darted left, narrowly avoiding a collision with a startled pedestrian. Quinn adjusted her trajectory, her legs burning with the effort. She'd been chasing this suspect for what felt like hours, ever since she'd spotted him slipping out of an alleyway near the Raven's Nest, Silas' bar in Soho. As they raced through the streets, Quinn's mind raced too. She'd been investigating the clique for months, ever since her partner Morris had died under unexplained circumstances. Supernatural elements had been at play, she was sure of it, but she'd never been able to prove it. This chase might be her chance to finally get some answers. The suspect suddenly veered right, disappearing down a narrow flight of stairs. Quinn followed, her hand instinctively reaching for her service weapon. The steps led to a darkened entryway, the sign above barely visible in the gloom: "Camden Town Station - Closed for Renovations." Quinn paused at the top of the stairs, her heart pounding. She knew about the Veil Market, of course. Every cop in London did, even if it wasn't officially acknowledged. A hidden supernatural black market that moved locations every full moon, selling everything from enchanted trinkets to banned alchemical substances. It was exactly the kind of place her suspect might disappear into. She thought of Morris, of the unanswered questions that had haunted her for three years. Could this be the break she'd been waiting for? Quinn took a deep breath and descended into the darkness. The stairs opened into a long, tiled corridor, the walls slick with moisture. In the distance, she could hear the faint sounds of activity - voices, footsteps, the clink of glass on glass. As she moved deeper into the station, the air grew thick with strange scents - incense, herbs, something metallic that made her nose wrinkle. She drew her weapon, the weight of it familiar and comforting in her hand. The corridor opened into a vast underground space, lit by flickering gas lamps and strings of fairy lights. Stalls lined the walls, their wares spilling out onto makeshift tables. Quinn's eyes widened as she took in the scene - jars of glowing liquid, books bound in what looked like human skin, crystals that hummed with an eerie energy. She scanned the crowd, searching for her suspect. People of all shapes and sizes moved through the market, some human, others decidedly not. A woman with antlers nodded to a tall, thin figure whose skin seemed to ripple like water. A group of small, goblin-like creatures haggled over what looked like a severed hand. There! A flash of movement near a stall selling what appeared to be bottled memories. Quinn pushed through the crowd, her weapon held low but ready. The suspect was close, she could feel it. "Excuse me, police business," she said, her voice cutting through the market's ambient noise. People turned to look, some with curiosity, others with open hostility. Quinn ignored them, her focus solely on her target. She reached the stall, but the suspect was gone. Frustration boiled up inside her, but she pushed it down. She couldn't afford to lose control here, not in a place like this. A movement caught her eye. A figure slipping through a curtained doorway at the back of the stall. Quinn moved quickly, shoving aside the curtain and stepping into a narrow passageway. The air here was cooler, damper. The sound of the market faded behind her as she moved forward, her weapon leading the way. The passageway opened into a small chamber, lit by a single flickering bulb. In the center of the room stood her suspect, his back to her. He was breathing heavily, his shoulders rising and falling with each labored breath. "Metropolitan Police," Quinn said, her voice steady despite her racing heart. "Turn around slowly, hands where I can see them." The figure remained still for a moment, then slowly turned. Quinn's breath caught in her throat. It wasn't her suspect at all. It was a mirror, reflecting her own image back at her. A trap. They'd led her here, into this dead end. Panic rose in her throat as she realized her mistake. She'd been so focused on catching her suspect that she'd walked right into an ambush. The sound of movement behind her made her spin around, her weapon raised. But it was too late. Strong hands grabbed her from behind, wrenching the gun from her grip. She struggled, kicking and thrashing, but there were too many of them. As they dragged her back towards the market, Quinn's mind raced. She'd been played, led like a lamb to slaughter. But she wasn't done yet. She still had her badge, her training. And most importantly, she had her determination. Morris had died for a reason. She was sure of it. And she'd be damned if she was going to let his death be in vain.
created_at"2026-02-19T12:14:46.485Z" 2/19/2026, 12:14:46 PM
model"arcee-ai/trinity-large-preview:free"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency277
moderation_latency(null)
generation_time55278
tokens_prompt1140
tokens_completion1338
native_tokens_prompt948
native_tokens_completion1066
native_tokens_completion_images(null)
native_tokens_reasoning0
native_tokens_cached0
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"stop"
usage0
router(null)
provider_responses
0
endpoint_id"239c00d5-c404-4d17-b243-6a645212dc95"
id"9d05af94c065f278-IAD"
is_byokfalse
latency173
model_permaslug"arcee-ai/trinity-large-preview"
provider_name"Arcee AI"
status200
api_type"completions"
id"gen-1771503286-EmpYX3YSK6FfR991C8Wi"
upstream_id"9d05af94c065f278-IAD"
total_cost0
cache_discount(null)
upstream_inference_cost0
provider_name"Arcee AI"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags5
adverbTagCount0
adverbTags(empty)
dialogueSentences5
tagDensity1
leniency1
rawRatio0
effectiveRatio0
77.35% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount883
totalAiIsmAdverbs4
found
0
adverb"suddenly"
count1
1
adverb"quickly"
count1
2
adverb"slowly"
count2
highlights
0"suddenly"
1"quickly"
2"slowly"
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)
20.72% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount883
totalAiIsms14
found
0
word"chill"
count1
1
word"pounding"
count2
2
word"raced"
count3
3
word"gloom"
count1
4
word"footsteps"
count1
5
word"weight"
count1
6
word"familiar"
count1
7
word"comforting"
count1
8
word"scanned"
count1
9
word"could feel"
count1
10
word"racing"
count1
highlights
0"chill"
1"pounding"
2"raced"
3"gloom"
4"footsteps"
5"weight"
6"familiar"
7"comforting"
8"scanned"
9"could feel"
10"racing"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"eyes widened/narrowed"
count1
highlights
0"eyes widened"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences72
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount2
narrationSentences72
filterMatches(empty)
hedgeMatches
0"seemed to"
1"appeared to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences73
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen28
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords887
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions4
unquotedAttributions0
matches(empty)
74.24% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions25
wordCount858
uniqueNames9
maxNameDensity1.52
worstName"Quinn"
maxWindowNameDensity2.5
worstWindowName"Quinn"
discoveredNames
London2
Harlow1
Quinn13
Raven1
Nest1
Morris3
Veil1
Market1
People2
persons
0"Harlow"
1"Quinn"
2"Morris"
3"People"
places
0"London"
1"Raven"
2"Market"
globalScore0.742
windowScore0.833
36.36% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences66
glossingSentenceCount3
matches
0"felt like hours, ever since she'd spott"
1"looked like human skin, crystals that hum"
2"looked like a severed hand"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount887
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences73
matches
0"suspect that she'd"
45.58% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs23
mean38.57
std11.94
cv0.31
sampleLengths
049
119
251
357
444
562
624
743
838
958
1054
1134
1234
1332
1431
1536
1626
1720
1833
1935
2042
2139
2226
95.52% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences72
matches
0"was gone"
1"been played"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs150
matches
0"was breathing"
25.44% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount3
semicolonCount0
flaggedSentences3
totalSentences73
ratio0.041
matches
0"In the distance, she could hear the faint sounds of activity - voices, footsteps, the clink of glass on glass."
1"As she moved deeper into the station, the air grew thick with strange scents - incense, herbs, something metallic that made her nose wrinkle."
2"Quinn's eyes widened as she took in the scene - jars of glowing liquid, books bound in what looked like human skin, crystals that hummed with an eerie energy."
89.67% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount125
adjectiveStacks0
stackExamples(empty)
adverbCount6
adverbRatio0.048
lyAdverbCount3
lyAdverbRatio0.024
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences73
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences73
mean12.15
std5.26
cv0.433
sampleLengths
015
120
214
319
413
510
628
710
817
919
1011
1112
1210
1322
1411
158
1611
1720
1812
1915
209
2110
2213
2320
2424
2514
2618
2711
2829
298
3015
3117
3214
331
3414
3511
368
3714
3811
399
409
4110
4213
435
4413
4513
466
4717
4813
4913
57.08% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats5
diversityRatio0.3835616438356164
totalSentences73
uniqueOpeners28
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences70
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount21
totalSentences70
matches
0"Her breath came in ragged"
1"she shouted, her voice barely"
2"She'd been chasing this suspect"
3"She'd been investigating the clique"
4"She knew about the Veil"
5"It was exactly the kind"
6"She thought of Morris, of"
7"She drew her weapon, the"
8"She scanned the crowd, searching"
9"she said, her voice cutting"
10"She reached the stall, but"
11"She couldn't afford to lose"
12"He was breathing heavily, his"
13"It wasn't her suspect at"
14"It was a mirror, reflecting"
15"They'd led her here, into"
16"She'd been so focused on"
17"She struggled, kicking and thrashing,"
18"She'd been played, led like"
19"She still had her badge,"
ratio0.3
52.86% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount57
totalSentences70
matches
0"The rain hammered down on"
1"Detective Harlow Quinn's boots splashed"
2"Her breath came in ragged"
3"she shouted, her voice barely"
4"The figure ahead darted left,"
5"Quinn adjusted her trajectory, her"
6"She'd been chasing this suspect"
7"She'd been investigating the clique"
8"This chase might be her"
9"The suspect suddenly veered right,"
10"Quinn followed, her hand instinctively"
11"The steps led to a"
12"Quinn paused at the top"
13"She knew about the Veil"
14"Every cop in London did,"
15"A hidden supernatural black market"
16"It was exactly the kind"
17"She thought of Morris, of"
18"Quinn took a deep breath"
19"The stairs opened into a"
ratio0.814
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences70
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences47
technicalSentenceCount2
matches
0"A hidden supernatural black market that moved locations every full moon, selling everything from enchanted trinkets to banned alchemical substances."
1"He was breathing heavily, his shoulders rising and falling with each labored breath."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags5
uselessAdditionCount2
matches
0"she said, her voice cutting through the market's ambient noise"
1"Quinn said, her voice steady despite her racing heart"
0.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags3
fancyCount1
fancyTags
0"she shouted (shout)"
dialogueSentences5
tagDensity0.6
leniency1
rawRatio0.333
effectiveRatio0.333
72.4941%